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	<title>katie.thesis</title>
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	<pubDate>Fri, 14 Aug 2020 18:28:22 +0000</pubDate>
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		<title>Main page</title>
				
		<link>https://katiefrohbosedesign.com/Main-page</link>

		<pubDate>Wed, 15 Jul 2020 20:24:34 +0000</pubDate>

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&#60;img width="1140" height="1088" width_o="1140" height_o="1088" data-src="https://freight.cargo.site/t/original/i/fdf48789b7660576a4ba8afe79c61791b8c75ef04a5c1c6dbeea895a9d0cb39f/Asset_24_4x-8.png" data-mid="77493386" border="0"  src="https://freight.cargo.site/w/1000/i/fdf48789b7660576a4ba8afe79c61791b8c75ef04a5c1c6dbeea895a9d0cb39f/Asset_24_4x-8.png" /&#62;
&#60;img width="388" height="489" width_o="388" height_o="489" data-src="https://freight.cargo.site/t/original/i/1d77c2ba000603fb9f4411a4e14082505f7e04090de959526b9c16695bfe05c7/Screenshot-2020-04-14-00.29.35.png" data-mid="79915770" border="0"  src="https://freight.cargo.site/w/388/i/1d77c2ba000603fb9f4411a4e14082505f7e04090de959526b9c16695bfe05c7/Screenshot-2020-04-14-00.29.35.png" /&#62;



	DESIGN

	
&#60;img width="568" height="760" width_o="568" height_o="760" data-src="https://freight.cargo.site/t/original/i/3abd347c25e03ef44070075df24f07e706705f46b3800cd3e927dce80bb882d3/Thick_Colored_DottedAsset-54x.png" data-mid="79849095" border="0"  src="https://freight.cargo.site/w/568/i/3abd347c25e03ef44070075df24f07e706705f46b3800cd3e927dce80bb882d3/Thick_Colored_DottedAsset-54x.png" /&#62;
&#60;img width="769" height="1043" width_o="769" height_o="1043" data-src="https://freight.cargo.site/t/original/i/0d2d77fd558db5857f65108f215eedf79583f2182a67ac24fec819c670cf60f7/Screenshot-2020-04-12-23.51.23.png" data-mid="79849049" border="0"  src="https://freight.cargo.site/w/769/i/0d2d77fd558db5857f65108f215eedf79583f2182a67ac24fec819c670cf60f7/Screenshot-2020-04-12-23.51.23.png" /&#62;

	SPECULATIVE AR + DATAHow can the design of a mixed reality experience facilitate transparency of IoT sensors and data through citizen engagement with its infrastructure?


	Spring 2020
User Experience
Machine Learning
Image Recognition



	



	
&#60;img width="2556" height="1786" width_o="2556" height_o="1786" data-src="https://freight.cargo.site/t/original/i/c78e19556f73ff001244e53e47fe8c765c23b33e670eded2f931376997e0b38a/Craig_BW.png" data-mid="77654493" border="0"  src="https://freight.cargo.site/w/1000/i/c78e19556f73ff001244e53e47fe8c765c23b33e670eded2f931376997e0b38a/Craig_BW.png" /&#62;

	THE FUTURE OF RETAILHow might an auto parts company ethically leverage machine learning in their Store of the Future to produce personalized, efficient, useful consumer interactions? 

	Spring 2019
User Experience
Machine Learning
Image Recognition

	





	
&#60;img width="1081" height="792" width_o="1081" height_o="792" data-src="https://freight.cargo.site/t/original/i/736199e77e977560c071795a3bd40767d5a8d675ddbc7f825d648f3e0aad03bd/Asset_9_4x-8.png" data-mid="77493381" border="0"  src="https://freight.cargo.site/w/1000/i/736199e77e977560c071795a3bd40767d5a8d675ddbc7f825d648f3e0aad03bd/Asset_9_4x-8.png" /&#62;
&#60;img width="1520" height="656" width_o="1520" height_o="656" data-src="https://freight.cargo.site/t/original/i/84bbcd94bdc3d4ef087eae2fbd44727f0563027174eda453517554cb1c834761/Asset_8_4x-8.png" data-mid="77493380" border="0"  src="https://freight.cargo.site/w/1000/i/84bbcd94bdc3d4ef087eae2fbd44727f0563027174eda453517554cb1c834761/Asset_8_4x-8.png" /&#62;
&#60;img width="1520" height="1140" width_o="1520" height_o="1140" data-src="https://freight.cargo.site/t/original/i/f086a7ab77749736cadb495f0da952009b2ed98ad5f03bc20e0ec25501c6dc6d/Asset_27_4x-8.png" data-mid="77493388" border="0"  src="https://freight.cargo.site/w/1000/i/f086a7ab77749736cadb495f0da952009b2ed98ad5f03bc20e0ec25501c6dc6d/Asset_27_4x-8.png" /&#62;


	&#38;nbsp;TANGIBLE DATA
    
The Soft Stone is a soft robotic device that can deliver haptic feedback to a user for the purpose of human assistance and mental health.

	Fall 2019
&#38;nbsp;
Data Physization

Speculative Design

	


	
&#60;img width="4088" height="2725" width_o="4088" height_o="2725" data-src="https://freight.cargo.site/t/original/i/32d4d01994e1193e026cdcbf258e557d3deb595270d13028118440d2663d1861/CUI_iphone_Mockup_2.jpg" data-mid="77654806" border="0"  src="https://freight.cargo.site/w/1000/i/32d4d01994e1193e026cdcbf258e557d3deb595270d13028118440d2663d1861/CUI_iphone_Mockup_2.jpg" /&#62;

	CONVERSATIONAL USER INTERFACEWhat does it feel like to be mirrored by a Virtual Agent?
	Spring 2019


Machine LearningVirtual AgentCUISpeculative Design


	


	
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/adb20ff0a8a19d5401f71fca81b81159dff39cf8316d044467b4bbd1f8b56cf0/2nd_Semester_Work_BookBot_1_Page_14.jpg" data-mid="79848066" border="0"  src="https://freight.cargo.site/w/400/i/adb20ff0a8a19d5401f71fca81b81159dff39cf8316d044467b4bbd1f8b56cf0/2nd_Semester_Work_BookBot_1_Page_14.jpg" /&#62;

	THE BOOKBOTTransform the lobby into an activated space that showcases and provides an experience for its core purpose: the bookBot.

	Spring 2018
Information Design
Typography

	


	
&#60;img width="1520" height="1140" width_o="1520" height_o="1140" data-src="https://freight.cargo.site/t/original/i/0490a5d1775ac747fa9f9542d643231083d6575c8ecac4d140562ac55159f967/map_Nash_moore.jpg" data-mid="78418982" border="0"  src="https://freight.cargo.site/w/1000/i/0490a5d1775ac747fa9f9542d643231083d6575c8ecac4d140562ac55159f967/map_Nash_moore.jpg" /&#62;

	MOORE V. NASH SQUARE
Fly on the Wall study of two squares in downtown Raleigh.

	Fall 2019
Ethnography
Fly on the Wall




	



	
&#60;img width="4000" height="3000" width_o="4000" height_o="3000" data-src="https://freight.cargo.site/t/original/i/1112b7d5b60f72c9876c47a2fded78434d238b7af7d1d77dacf265f547afcccd/SA_V_in_ipad_6.jpg" data-mid="79914675" border="0"  src="https://freight.cargo.site/w/1000/i/1112b7d5b60f72c9876c47a2fded78434d238b7af7d1d77dacf265f547afcccd/SA_V_in_ipad_6.jpg" /&#62;

	SA: V
Prototype a minimally interactive instructional resource on surface-area-to-volume ratio for advanced high school students. 

	Fall 2017
Visualization
Application
Education

	



	
&#60;img width="4032" height="3024" width_o="4032" height_o="3024" data-src="https://freight.cargo.site/t/original/i/9a01cb80deb820dd10ae6005715ec0f0f7729aa93c726f094b602bcaafb96d34/Terms-Conditions_7.jpg" data-mid="79856873" border="0"  src="https://freight.cargo.site/w/1000/i/9a01cb80deb820dd10ae6005715ec0f0f7729aa93c726f094b602bcaafb96d34/Terms-Conditions_7.jpg" /&#62;

	TERMS &#38;amp; CONDITIONS///
	Fall 2019Publication Design
Data


	



	
&#60;img width="2400" height="3375" width_o="2400" height_o="3375" data-src="https://freight.cargo.site/t/original/i/cf95b7c92e08c19f207a0652067f581851ea9a795c8ff86165952be2f2f33c3f/Frohbose_Motherbrain_P2B_417FA18_Page_01.jpg" data-mid="79856760" border="0"  src="https://freight.cargo.site/w/1000/i/cf95b7c92e08c19f207a0652067f581851ea9a795c8ff86165952be2f2f33c3f/Frohbose_Motherbrain_P2B_417FA18_Page_01.jpg" /&#62;

	THE FUTURE OF DEATH&#38;nbsp;

///


	Fall 2018
Publication Design
Foresight Studies




	



	
&#60;img width="3024" height="3024" width_o="3024" height_o="3024" data-src="https://freight.cargo.site/t/original/i/31e14872a2b2ab715954dcf6ba76c5d920e43408cd11266ab41ddd90ffbfdc08/SaltDiamonds1.jpg" data-mid="77580282" border="0"  src="https://freight.cargo.site/w/1000/i/31e14872a2b2ab715954dcf6ba76c5d920e43408cd11266ab41ddd90ffbfdc08/SaltDiamonds1.jpg" /&#62;


	
	SALT AND DIAMONDS///
	
	FALL 2017Publication Design

	
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		<title>Design_2</title>
				
		<link>https://katiefrohbosedesign.com/Design_2</link>

		<pubDate>Fri, 14 Aug 2020 18:28:22 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

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INDEX

	DESIGN

	

&#60;img width="568" height="760" width_o="568" height_o="760" data-src="https://freight.cargo.site/t/original/i/3abd347c25e03ef44070075df24f07e706705f46b3800cd3e927dce80bb882d3/Thick_Colored_DottedAsset-54x.png" data-mid="79916158" border="0" data-scale="37" src="https://freight.cargo.site/w/568/i/3abd347c25e03ef44070075df24f07e706705f46b3800cd3e927dce80bb882d3/Thick_Colored_DottedAsset-54x.png" /&#62;
&#60;img width="769" height="1043" width_o="769" height_o="1043" data-src="https://freight.cargo.site/t/original/i/0d2d77fd558db5857f65108f215eedf79583f2182a67ac24fec819c670cf60f7/Screenshot-2020-04-12-23.51.23.png" data-mid="79916157" border="0"  src="https://freight.cargo.site/w/769/i/0d2d77fd558db5857f65108f215eedf79583f2182a67ac24fec819c670cf60f7/Screenshot-2020-04-12-23.51.23.png" /&#62;

	SPECULATIVE AR + DATA
How can the design of a mixed reality experience facilitate transparency of IoT sensors and data through citizen engagement with its infrastructure?
Read More&#38;nbsp;︎
	Spring 2020
User Experience
Augmented Reality
Speculative Design
Data Sense

	


	
&#60;img width="2556" height="1786" width_o="2556" height_o="1786" data-src="https://freight.cargo.site/t/original/i/c78e19556f73ff001244e53e47fe8c765c23b33e670eded2f931376997e0b38a/Craig_BW.png" data-mid="79916143" border="0"  src="https://freight.cargo.site/w/1000/i/c78e19556f73ff001244e53e47fe8c765c23b33e670eded2f931376997e0b38a/Craig_BW.png" /&#62;

	THE FUTURE OF RETAILHow might an auto parts company ethically leverage machine learning in their Store of the Future to produce personalized, efficient, useful consumer interactions? 
Read More ︎
	Spring 2019
User Experience
Machine Learning
Image Recognition



	
&#60;img width="1520" height="656" width_o="1520" height_o="656" data-src="https://freight.cargo.site/t/original/i/84bbcd94bdc3d4ef087eae2fbd44727f0563027174eda453517554cb1c834761/Asset_8_4x-8.png" data-mid="79916118" border="0" data-scale="76" src="https://freight.cargo.site/w/1000/i/84bbcd94bdc3d4ef087eae2fbd44727f0563027174eda453517554cb1c834761/Asset_8_4x-8.png" /&#62;
&#60;img width="1081" height="792" width_o="1081" height_o="792" data-src="https://freight.cargo.site/t/original/i/736199e77e977560c071795a3bd40767d5a8d675ddbc7f825d648f3e0aad03bd/Asset_9_4x-8.png" data-mid="79916119" border="0"  src="https://freight.cargo.site/w/1000/i/736199e77e977560c071795a3bd40767d5a8d675ddbc7f825d648f3e0aad03bd/Asset_9_4x-8.png" /&#62;
&#60;img width="1520" height="1140" width_o="1520" height_o="1140" data-src="https://freight.cargo.site/t/original/i/f086a7ab77749736cadb495f0da952009b2ed98ad5f03bc20e0ec25501c6dc6d/Asset_27_4x-8.png" data-mid="79916126" border="0"  src="https://freight.cargo.site/w/1000/i/f086a7ab77749736cadb495f0da952009b2ed98ad5f03bc20e0ec25501c6dc6d/Asset_27_4x-8.png" /&#62;


	&#38;nbsp;TANGIBLE DATA
    
The Soft Stone is a soft robotic device that can deliver haptic feedback to a user for the purpose of human assistance and mental health.

Read more&#38;nbsp;︎
	Fall 2019
&#38;nbsp;
Data Physization

Speculative Design





	
&#60;img width="4088" height="2725" width_o="4088" height_o="2725" data-src="https://freight.cargo.site/t/original/i/32d4d01994e1193e026cdcbf258e557d3deb595270d13028118440d2663d1861/CUI_iphone_Mockup_2.jpg" data-mid="79916144" border="0"  src="https://freight.cargo.site/w/1000/i/32d4d01994e1193e026cdcbf258e557d3deb595270d13028118440d2663d1861/CUI_iphone_Mockup_2.jpg" /&#62;


 
	
CONVERSATIONAL USER INTERFACEWhat does it feel to be mirrored by a Virtual Agent?Read More ︎




	Spring 2019


Machine LearningVirtual AgentCUISpeculative Design


	
	
	


	
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/adb20ff0a8a19d5401f71fca81b81159dff39cf8316d044467b4bbd1f8b56cf0/2nd_Semester_Work_BookBot_1_Page_14.jpg" data-mid="79916156" border="0"  src="https://freight.cargo.site/w/400/i/adb20ff0a8a19d5401f71fca81b81159dff39cf8316d044467b4bbd1f8b56cf0/2nd_Semester_Work_BookBot_1_Page_14.jpg" /&#62;

	THE BOOKBOTTransform the lobby into an activated, experiential that showcases and provides an experience for its core purpose: the bookBot.
Read More&#38;nbsp;︎
	Spring 2018
Information Design
Typography



	
&#60;img width="1520" height="1140" width_o="1520" height_o="1140" data-src="https://freight.cargo.site/t/original/i/0490a5d1775ac747fa9f9542d643231083d6575c8ecac4d140562ac55159f967/map_Nash_moore.jpg" data-mid="79916148" border="0"  src="https://freight.cargo.site/w/1000/i/0490a5d1775ac747fa9f9542d643231083d6575c8ecac4d140562ac55159f967/map_Nash_moore.jpg" /&#62;

	MOORE V. NASH SQUARE
Fly on the Wall study of two squares in downtown Raleigh
Read More&#38;nbsp;︎
	Fall 2019
Ethnography
Fly on the Wall





	
&#60;img width="4000" height="3000" width_o="4000" height_o="3000" data-src="https://freight.cargo.site/t/original/i/1112b7d5b60f72c9876c47a2fded78434d238b7af7d1d77dacf265f547afcccd/SA_V_in_ipad_6.jpg" data-mid="79916183" border="0"  src="https://freight.cargo.site/w/1000/i/1112b7d5b60f72c9876c47a2fded78434d238b7af7d1d77dacf265f547afcccd/SA_V_in_ipad_6.jpg" /&#62;

	SA: V
Prototyped a minimally interactive instructional resource on Surface-area-to-volume ratio for advanced high school students. 
Read More&#38;nbsp;︎


	Fall 2017
Visualization
Application
Education

	


	
&#60;img width="4032" height="3024" width_o="4032" height_o="3024" data-src="https://freight.cargo.site/t/original/i/9a01cb80deb820dd10ae6005715ec0f0f7729aa93c726f094b602bcaafb96d34/Terms-Conditions_7.jpg" data-mid="79916168" border="0"  src="https://freight.cargo.site/w/1000/i/9a01cb80deb820dd10ae6005715ec0f0f7729aa93c726f094b602bcaafb96d34/Terms-Conditions_7.jpg" /&#62;

	TERMS &#38;amp; CONDITIONS///
	Fall 2019Publication DesignData



	
&#60;img width="2400" height="3375" width_o="2400" height_o="3375" data-src="https://freight.cargo.site/t/original/i/cf95b7c92e08c19f207a0652067f581851ea9a795c8ff86165952be2f2f33c3f/Frohbose_Motherbrain_P2B_417FA18_Page_01.jpg" data-mid="79916160" border="0"  src="https://freight.cargo.site/w/1000/i/cf95b7c92e08c19f207a0652067f581851ea9a795c8ff86165952be2f2f33c3f/Frohbose_Motherbrain_P2B_417FA18_Page_01.jpg" /&#62;

	THE FUTURE OF DEATH&#38;nbsp;

///


	Fall 2018
Publication Design
Foresight Studies




	
&#60;img width="3024" height="3024" width_o="3024" height_o="3024" data-src="https://freight.cargo.site/t/original/i/31e14872a2b2ab715954dcf6ba76c5d920e43408cd11266ab41ddd90ffbfdc08/SaltDiamonds1.jpg" data-mid="79916135" border="0"  src="https://freight.cargo.site/w/1000/i/31e14872a2b2ab715954dcf6ba76c5d920e43408cd11266ab41ddd90ffbfdc08/SaltDiamonds1.jpg" /&#62;


	
	SALT AND DIAMONDS///
	
	FALL 2017Publication Design


	
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	<item>
		<title>About Me</title>
				
		<link>https://katiefrohbosedesign.com/About-Me</link>

		<pubDate>Wed, 15 Jul 2020 20:53:12 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/About-Me</guid>

		<description>
	&#60;img width="3024" height="4032" width_o="3024" height_o="4032" data-src="https://freight.cargo.site/t/original/i/3b258e9d0b55fb31ebaa993e6098335d4b51339cf2124c4488a588b71f46726c/Katie_Mirror_Hand.png" data-mid="79850292" border="0"  src="https://freight.cargo.site/w/1000/i/3b258e9d0b55fb31ebaa993e6098335d4b51339cf2124c4488a588b71f46726c/Katie_Mirror_Hand.png" /&#62;
	
	
	
	


INFORMATION
	I'm Katie—a UX designer, researcher, and teacher based in Durham, NC. I am a visual communicator and systems thinker who is fascinated with technology and design's influence on the human experience (and visa versa). I view design as an act of future-making and employ user-centered and speculative research methods to facilitate thoughtful and creative experiences that respond to and anticipate user needs.
My interests are multi-disciplinary and include understanding ecologies of things (human and nonhuman), future and foresight studies, speculative design, social anthropology, ethnography, systems thinking, and UX research + interface design. I am wide open with a lot of creative energy. Please reach out!
	






	Contact &#38;amp; Information
Akfrohbose@gmail.com
	
Resume


	Collaborators &#38;amp; Friends

Randa HadiDmitri Knapp
Grace Herndon

Victoria Gerson
	
	
	What I am Reading
The Social Machine: Designs for Living Online
The Stuff of Bits: An Essay on the Materialities of Information
Data Selves: More than Human Perspectives
A Field Guide to Getting Lost
	NCSU
Yes AndAnd soSo thenThen Finally


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		<title>Speculative AR + Data</title>
				
		<link>https://katiefrohbosedesign.com/Speculative-AR-Data</link>

		<pubDate>Wed, 12 Aug 2020 14:17:40 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/Speculative-AR-Data</guid>

		<description>
DATA + AR


	
&#60;img width="1167" height="1167" width_o="1167" height_o="1167" data-src="https://freight.cargo.site/t/original/i/4408315bb5fdd572d32a0fdde1b491d07a218e3c9e10e3032223a384bd1883d6/Concept_1--1.png" data-mid="79721556" border="0"  src="https://freight.cargo.site/w/1000/i/4408315bb5fdd572d32a0fdde1b491d07a218e3c9e10e3032223a384bd1883d6/Concept_1--1.png" /&#62;



	Spring 2020
Master’s Graduate ThesisThe student final project is undertaken in the last two semesters of the program, and is in part a culmination of graduate study that synthesizes previous coursework and investigations. Students are responsible for defining the area of investigation, for the research that informs their investigation, for organizing the study and its methods, and for documenting the results.
User ExperienceAugmented RealitySpeculative DesignData Sense
Full Document ︎ 
Pandemic Symposium ︎






	

&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/1f2fee309736740c9e497f959435e216456553e6a9f90039be96580c72a024af/Final_Presentation_Thesis.001.png" data-mid="79721604" border="0" alt="Connected IoT devices" data-caption="Connected IoT devices" src="https://freight.cargo.site/w/1000/i/1f2fee309736740c9e497f959435e216456553e6a9f90039be96580c72a024af/Final_Presentation_Thesis.001.png" /&#62;



	RESEARCH&#38;nbsp;
Abstract

Smart Cities are characterized by information flows among humans and ubiquitous sensing technologies known as the internet of things (IoT). These sensors ere embedded in mobile devices and the built environment. While IoT’s affordances aim to make life easier for citizens, its invisibility, and reliance on human data raises issues of transparency and ethics for the future of IoT design.

Designing for transparency is difficult when sensors and data are hard for users to conceptualize (Lupton, 2017). Information flows are dynamic and volatile, and are fragmented and translated across physical-digital spaces. The idea of locating, finding, and interacting with sensors and data in situ could perhaps render them transparent in ways that acknowledge their spatial qualities to help bridge the digital–physical divide. Below is my primary research question followed by three subquestions:

How can the design of a mixed reality experience facilitate transparency of IoT sensors and data through citizen engagement with its infrastructure?
(Sq. 1) Engagement

How can the design of multimodal interventions present initial touch points for the user to access the IoT infrastructure over time and space? 


(Sq. 2) Attunement

How can the design of contextual layers of information translate the IoT infrastructure’s functionality and intent?


(Sq. 3) Expansion

How can the design of applied interactions facilitate an embodied awareness of information while promoting user agency?















	
&#60;img width="4270" height="3300" width_o="4270" height_o="3300" data-src="https://freight.cargo.site/t/original/i/f1464f43d6c430f62aaaa37fd196de7cfd842568a516720671e0865e9992c4ee/IoT_Infrastructure.png" data-mid="79721505" border="0" alt="Mapping out the IoT Infrastructure" data-caption="Mapping out the IoT Infrastructure" src="https://freight.cargo.site/w/1000/i/f1464f43d6c430f62aaaa37fd196de7cfd842568a516720671e0865e9992c4ee/IoT_Infrastructure.png" /&#62;
&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/1b2fe9fe95c7a9f6584dfba6d18e22d52a59522a3abd854e3a8fd0682ccfa12c/Taxonomy_Data_Use.jpg" data-mid="80242909" border="0" alt="Taxonomy of data" data-caption="Taxonomy of data" src="https://freight.cargo.site/w/1000/i/1b2fe9fe95c7a9f6584dfba6d18e22d52a59522a3abd854e3a8fd0682ccfa12c/Taxonomy_Data_Use.jpg" /&#62;
&#60;img width="1250" height="1690" width_o="1250" height_o="1690" data-src="https://freight.cargo.site/t/original/i/1a08c70f935a4e6e9519e6f10910497138faaf5d9e275eb124629579043ec9f9/IMG_1096.jpg" data-mid="79721506" border="0" alt="Deconstructing a traffic light Sensor" data-caption="Deconstructing a traffic light Sensor" src="https://freight.cargo.site/w/1000/i/1a08c70f935a4e6e9519e6f10910497138faaf5d9e275eb124629579043ec9f9/IMG_1096.jpg" /&#62;
&#60;img width="2598" height="1210" width_o="2598" height_o="1210" data-src="https://freight.cargo.site/t/original/i/48a86d87b32ba64a6b44b139388a1c73b2593850596ff1ad75854d7605d6be88/Screenshot-2020-08-04-17.48.36.png" data-mid="79721548" border="0" alt="Design methods" data-caption="Design methods" src="https://freight.cargo.site/w/1000/i/48a86d87b32ba64a6b44b139388a1c73b2593850596ff1ad75854d7605d6be88/Screenshot-2020-08-04-17.48.36.png" /&#62;
&#60;img width="4598" height="3300" width_o="4598" height_o="3300" data-src="https://freight.cargo.site/t/original/i/7e9932cb9e8c485fa98db1a9054d4be2611f7c5002fe2de11b15cf02af97de3c/Screenshot-2020-04-17-18.31.48.png" data-mid="79721504" border="0" alt="AR sketch" data-caption="AR sketch" src="https://freight.cargo.site/w/1000/i/7e9932cb9e8c485fa98db1a9054d4be2611f7c5002fe2de11b15cf02af97de3c/Screenshot-2020-04-17-18.31.48.png" /&#62;
&#60;img width="1852" height="1280" width_o="1852" height_o="1280" data-src="https://freight.cargo.site/t/original/i/31f535d2a813aa4e1dd6ccc20b5f910fe9484aedfcccaf4690115fbe442dc8de/Screen-Shot-2020-08-11-at-6.22.47-PM.png" data-mid="79721598" border="0" alt="Spatializing the user experience" data-caption="Spatializing the user experience" src="https://freight.cargo.site/w/1000/i/31f535d2a813aa4e1dd6ccc20b5f910fe9484aedfcccaf4690115fbe442dc8de/Screen-Shot-2020-08-11-at-6.22.47-PM.png" /&#62;
&#60;img width="1600" height="1200" width_o="1600" height_o="1200" data-src="https://freight.cargo.site/t/original/i/7b0c7e04fabd057f0c2bd7dc3c7d78b1b892939e0fd9f30e03a63e6d726e547f/Schematics.jpeg" data-mid="79838153" border="0" alt="Studio Notes" data-caption="Studio Notes" src="https://freight.cargo.site/w/1000/i/7b0c7e04fabd057f0c2bd7dc3c7d78b1b892939e0fd9f30e03a63e6d726e547f/Schematics.jpeg" /&#62;
&#60;img width="2274" height="2276" width_o="2274" height_o="2276" data-src="https://freight.cargo.site/t/original/i/678816a55f497c1534fa6b834371b818a80def27e199f55fc749e18d1f118169/Repeat-Grid-1.png" data-mid="79721509" border="0" alt="Machine Vision Study" data-caption="Machine Vision Study" src="https://freight.cargo.site/w/1000/i/678816a55f497c1534fa6b834371b818a80def27e199f55fc749e18d1f118169/Repeat-Grid-1.png" /&#62;
&#60;img width="3350" height="1494" width_o="3350" height_o="1494" data-src="https://freight.cargo.site/t/original/i/0641455ed99ca78e862ee0d3a8cb8dd7a7aee179e89a7e840ec146c9e9f4d1d5/Annotated_Portfolio.jpg" data-mid="79836935" border="0" alt="Annotated Portfolio" data-caption="Annotated Portfolio" src="https://freight.cargo.site/w/1000/i/0641455ed99ca78e862ee0d3a8cb8dd7a7aee179e89a7e840ec146c9e9f4d1d5/Annotated_Portfolio.jpg" /&#62;




	MethodsAn extensive literature review helped formulate my research question, argument, justification, methods, and findings.A precedent analysis and case study presented gaps in current products and areas for design opportunity. 
Observational studies utilizing the AEIOU framework of Hillsborough street informed the context of the investigation’s problem space.&#38;nbsp;Research through Design encouraged the collection of evidence along the way to inform design decisions.&#38;nbsp;Interviews and surveys provided insight to craft a persona.&#38;nbsp;Scenario building based on secondary research and observational studies helped to contextualize the problem space and identify pain points. 
Rapid ideations and “what-if” explorations broadened my scope of possibilities early in the investigation and helped circumvent design fixation.A workshop with the sophomore class at NCSU revealed possibilities for design explorations is subquestion two.Persona Generating, Storyboards, Stakeholder Maps, Refined Scenarios provided a contextual space to situate this investigation.Concept maps and visual studies provided visual confirmation and analysis of concepts.&#38;nbsp;Prototyping brought the project into fruition.&#38;nbsp; 






	
&#60;img width="722" height="1014" width_o="722" height_o="1014" data-src="https://freight.cargo.site/t/original/i/8413e01a0dd98e60b6d83cadbeefcb29f87269e490a7097f50ceb8e9944de82e/Group-20.png" data-mid="79721581" border="0" alt="Conceptual Framework" data-caption="Conceptual Framework" src="https://freight.cargo.site/w/722/i/8413e01a0dd98e60b6d83cadbeefcb29f87269e490a7097f50ceb8e9944de82e/Group-20.png" /&#62;

	Theoretical FrameworksThis research is informed by several frameworks:
Multisensory Acts of Noticing&#38;nbsp;helps humans gain insight into how systems function outside of our anthropocentric norm. Stages of noticing include three tactics: engagement, attunement, and expansion. 
The DASS framework gives a structured and holistic view of how designers can implement awareness of information into the design of interactive and shared systems.Smart citizenship is derived from literature covering aspects of citizen engagement. Smart citizenship does not refer to the cognitive capabilities of citizens; rather, it is a broader concept that encompasess an ethos of citizen agency through grassroots, bottom-up participatory design. 
Data sense involves the entanglements of human senses with digital sensors in the act of sensemaking.&#38;nbsp;This investigation is framed from the&#38;nbsp;perspective of data sensemaking. It recognizes materiality of data as a lively thing distributed spatially and contextually in the digital–physical milieu of sensory embedded environment.









	
&#60;img width="1036" height="1074" width_o="1036" height_o="1074" data-src="https://freight.cargo.site/t/original/i/39ea4e8a63860bcbccc96669df3bc2cd47b51381aa9392eb4f60a4ca9cd5d6c7/Screen-Shot-2020-08-11-at-6.46.37-PM.png" data-mid="79721597" border="0" alt="Grid of Precedents" data-caption="Grid of Precedents" src="https://freight.cargo.site/w/1000/i/39ea4e8a63860bcbccc96669df3bc2cd47b51381aa9392eb4f60a4ca9cd5d6c7/Screen-Shot-2020-08-11-at-6.46.37-PM.png" /&#62;

	










Precedent Analysis&#38;nbsp;

As a part of this investigation, I researched existing design applications, experiences, and frameworks that center around citizen sensing, IoT awareness, and augmented reality. Collectively, these examples advocate for citizen’s right-to-know and uniquely address the concept of transparency and smart citizenship through place-based sensing, access to open source data, and active participation.


What I took from these precedents: 

Citizens as sensors—citizens understand sensory environments through participatory acts of sensing (Gabrys, 2018).
Sensing kits are placed based and require mobility to access. Walking is a part of understanding the spatial scope of embedded IoT devices.
Transparency is achieved through the use of open source and open data.
Data is generated and collected through the willingness and active use by a participant.
Sensor activity can be made evident through public interactive displays that convey ambient information.
Mobile devices can inform users of local data collection.
ARIoT can be experienced in natural ways that use proximity-based sensing and BLE beacons to notify of the user of a sensor near by.
Sensing nodes do not always take the form of mobile devices. Some are rendered as eggs and other playful forms. 














	STUDIES


	
	Studies are organized in the form of three subquestions that focus on different aspects of Designing for Awareness. Each subquestion addresses a tactic of noticing derived from the primary framework, The Acts of Noticing: Engagement, Attunement, and Expansion (Liu et al., 2018).Engagement is the shared physical experience of the environment.
Attunement is the ability to sense the livelihoods of nonhuman collaborators.Expansion explores the blurring of the human–technological division.&#38;nbsp;


&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/a9535f56a27cf24166dda525657a76d4b78adba739474c20317c5a2b5df089c1/Final_Presentation_Thesis.001.png" data-mid="79721557" border="0" alt="Investigation Framework" data-caption="Investigation Framework" src="https://freight.cargo.site/w/1000/i/a9535f56a27cf24166dda525657a76d4b78adba739474c20317c5a2b5df089c1/Final_Presentation_Thesis.001.png" /&#62;
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/9d43818ab738b53ed9e13ce18e17126078893c7512f7b9cfed6c21259f3ebf45/Final_Presentation_Thesis.002.png" data-mid="79721558" border="0" alt="Investigation Framework" data-caption="Investigation Framework" src="https://freight.cargo.site/w/1000/i/9d43818ab738b53ed9e13ce18e17126078893c7512f7b9cfed6c21259f3ebf45/Final_Presentation_Thesis.002.png" /&#62;
&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/ed37412cb2556e9f8997be39d29ac12c6602a0e1f0b00a8c2735ded466f84f18/Final_Presentation_Thesis.003.png" data-mid="79721560" border="0" alt="Investigation Framework" data-caption="Investigation Framework" src="https://freight.cargo.site/w/1000/i/ed37412cb2556e9f8997be39d29ac12c6602a0e1f0b00a8c2735ded466f84f18/Final_Presentation_Thesis.003.png" /&#62;



	
&#60;img width="1080" height="1080" width_o="1080" height_o="1080" data-src="https://freight.cargo.site/t/original/i/b78e2be15ccb37f43f2a8cf896153ab32e7c44391a9cbf3d18505224a7386769/Circular-Map.png" data-mid="79721596" border="0" alt="AEIOU Notes of Hillsborough Street" data-caption="AEIOU Notes of Hillsborough Street" src="https://freight.cargo.site/w/1000/i/b78e2be15ccb37f43f2a8cf896153ab32e7c44391a9cbf3d18505224a7386769/Circular-Map.png" /&#62;
&#60;img width="11628" height="11628" width_o="11628" height_o="11628" data-src="https://freight.cargo.site/t/original/i/1c0ac8ed6ef83578ce46f66d416f77230ffed5b6984ad4dda664b5db093ac87a/Group-11Randa.png" data-mid="79721500" border="0" alt="Ava" data-caption="Ava" src="https://freight.cargo.site/w/1000/i/1c0ac8ed6ef83578ce46f66d416f77230ffed5b6984ad4dda664b5db093ac87a/Group-11Randa.png" /&#62;
&#60;img width="666" height="1188" width_o="666" height_o="1188" data-src="https://freight.cargo.site/t/original/i/654db023a9e015fd3a199c8e816a5d8d8b1f7c675655168dd14b1689bb17047a/Screen-Shot-2020-08-11-at-7.25.29-PM.png" data-mid="79721599" border="0" alt="Ava walking" data-caption="Ava walking" src="https://freight.cargo.site/w/666/i/654db023a9e015fd3a199c8e816a5d8d8b1f7c675655168dd14b1689bb17047a/Screen-Shot-2020-08-11-at-7.25.29-PM.png" /&#62;



	Persona + Senario
This investigation follows the persona, AVA, a twenty-five year old college student and **unaware pedestrian as she commute to class over a course of time. While she has heard of the term “smart” she does not know if she lives in a smart city or not. She has grown up with digital technologies and rarely thinks about their mehanics. She fears and is convinced her phone listens to her speak sometimes and wonders about how the cloud works—but does not obsess over those unknowns.The context is&#38;nbsp;Hillsborough Street, Raleigh, NC, a&#38;nbsp;typical of a college street in a medium–sized city. It is active and lively, populated with a variety of business, restaurants, coffee shops, bars, and pedestrian activity. On one end of the street is a traffic circle characterized by constant, transient motion. Embedded within this physical landscape are thousands of IoT sensors—sensors that are aiding Ava's journey (unbeknownst to her) as she walks to and from class.&#38;nbsp;
**The concept of “unaware pedestrian” is supported by literature on solitary mobility in the city, the anesthetization of users to digital information when moving through public space, and the ambient commons, (Bull, 2004; McCullough, 2015). Modern pedestrian mobility is oftentimes solitary with user attention directed towards their private worlds. In my observations, many pedestrians were alone with headphones on—heads down looking at content and not at the environment itself. A function of this investigation is to ask how design can snap a pedestrian out of that solitary state into one of awarenesses of the invisible IoT infrastructure.








	
	

	Study 1:
Engagement
How can the design of multimodal interventions present initial touch points for the user to access the IoT infrastructure over time and space? 

	

&#60;img width="1602" height="1274" width_o="1602" height_o="1274" data-src="https://freight.cargo.site/t/original/i/f7e3cc89f8c90902f1268ac47fc01102a59bf83e1cbde384290efe153eaa80ef/Screenshot-2020-07-15-18.22.57.png" data-mid="79721565" border="0" alt="Synthesis of Ava&#38;rsquo;s journey and touchpoints" data-caption="Synthesis of Ava’s journey and touchpoints" src="https://freight.cargo.site/w/1000/i/f7e3cc89f8c90902f1268ac47fc01102a59bf83e1cbde384290efe153eaa80ef/Screenshot-2020-07-15-18.22.57.png" /&#62;
&#60;img width="604" height="802" width_o="604" height_o="802" data-src="https://freight.cargo.site/t/original/i/4f3fc1a4273f16fe1ddd15ca6a57290e8a65065e68503587f4a794b2f9d4b69b/DPI_Hand_Phone_Buzz4x.png" data-mid="79721572" border="0" alt="GIS can enable viewing of heterogeneous sensor types, their location, and past and present information." data-caption="GIS can enable viewing of heterogeneous sensor types, their location, and past and present information." src="https://freight.cargo.site/w/604/i/4f3fc1a4273f16fe1ddd15ca6a57290e8a65065e68503587f4a794b2f9d4b69b/DPI_Hand_Phone_Buzz4x.png" /&#62;
&#60;img width="1623" height="2100" width_o="1623" height_o="2100" data-src="https://freight.cargo.site/t/original/i/17afc3111b2450e80fdb077eaf802d51dc665d3a3694674671b465b9072e5090/DPI_Asset-24x.png" data-mid="79721585" border="0" alt=" Amplified Reality offers multimodal, spatial, ambient, and implicit awareness." data-caption=" Amplified Reality offers multimodal, spatial, ambient, and implicit awareness." src="https://freight.cargo.site/w/1000/i/17afc3111b2450e80fdb077eaf802d51dc665d3a3694674671b465b9072e5090/DPI_Asset-24x.png" /&#62;
&#60;img width="579" height="771" width_o="579" height_o="771" data-src="https://freight.cargo.site/t/original/i/8d160f0ed6b041bbf1851bc44d795bece5e5597cd583a9c4247b1a8c6eeb410c/Thick_Colored_DottedAsset-74x.png" data-mid="79721584" border="0" alt=" Display screens provide ambient information and peripheral awareness." data-caption=" Display screens provide ambient information and peripheral awareness." src="https://freight.cargo.site/w/579/i/8d160f0ed6b041bbf1851bc44d795bece5e5597cd583a9c4247b1a8c6eeb410c/Thick_Colored_DottedAsset-74x.png" /&#62;
&#60;img width="568" height="760" width_o="568" height_o="760" data-src="https://freight.cargo.site/t/original/i/3abd347c25e03ef44070075df24f07e706705f46b3800cd3e927dce80bb882d3/Thick_Colored_DottedAsset-54x.png" data-mid="79721582" border="0" alt="Markerless Tracking: BLE Beacons enable direct communication between the user and the sensor in context of where the sensor exists&#38;mdash;facilitating awareness of its presence." data-caption="Markerless Tracking: BLE Beacons enable direct communication between the user and the sensor in context of where the sensor exists—facilitating awareness of its presence." src="https://freight.cargo.site/w/568/i/3abd347c25e03ef44070075df24f07e706705f46b3800cd3e927dce80bb882d3/Thick_Colored_DottedAsset-54x.png" /&#62;
&#60;img width="550" height="759" width_o="550" height_o="759" data-src="https://freight.cargo.site/t/original/i/6bac012545ad9af067d6ff6f453b8da899bfa9cc8ed0bfc448a0b07548818be6/hand_QR.png" data-mid="79721571" border="0" alt="Markers are visual indicators of IoT sensors in context." data-caption="Markers are visual indicators of IoT sensors in context." src="https://freight.cargo.site/w/550/i/6bac012545ad9af067d6ff6f453b8da899bfa9cc8ed0bfc448a0b07548818be6/hand_QR.png" /&#62;

	










This study focuses on eliciting engagement through initial contact with the design system. It takes a step back and asks how potential technological interventions can bring the pedestrian into Awareness by engaging more fully with sensors and data recognized in the AR application. When paired with smart citizen values, study one explores the idea of citizen right-to-know and accessibility of IoT information. As such, this study investigates a range of possibilities for an unaware pedestrian to gain access to IoT information in situ. 




Findings propose an IoT sensor can be transparent through the design of multimodal, technological touchpoints in public space. These touchpoints vary in visibility, modality, location, and the type of information they provide. The result is a concept map that synthesizes these variables to deduce, where and when, these touchpoints should intervene. &#38;nbsp;
These frictions range from evoking ambient, thinner interactions that are successful in provoking a sensory awareness of space, to explicit, thicker interactions that enable access to detailed information. They explore the effects of facilitating awareness and in indirect proximity to an IoT sensor. The former alters pedestrian routes while the latter engages the user with the sensor in situ.







	
	
	Study 2:
AttunementHow can the design of contextual layers of information translate the IoT infrastructure’s functionality and intent?



	
&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/43ea8f3f19fdea32cc7adbe68780d74525887611769d78ae8a8025665204977c/page81.png" data-mid="79721507" border="0" alt="Strategies for representing information through text, infographics, holograms, and hyperlinks" data-caption="Strategies for representing information through text, infographics, holograms, and hyperlinks" src="https://freight.cargo.site/w/1000/i/43ea8f3f19fdea32cc7adbe68780d74525887611769d78ae8a8025665204977c/page81.png" /&#62;
&#60;img width="4670" height="487" width_o="4670" height_o="487" data-src="https://freight.cargo.site/t/original/i/427801031dd0a10c7760802ecbe5771b13cc4a0162b11bc0a99f220f978edea5/sensor-lights.png" data-mid="79721589" border="0" alt="Visual strategies for highlighting sensors in AR" data-caption="Visual strategies for highlighting sensors in AR" src="https://freight.cargo.site/w/1000/i/427801031dd0a10c7760802ecbe5771b13cc4a0162b11bc0a99f220f978edea5/sensor-lights.png" /&#62;
&#60;img width="4270" height="3300" width_o="4270" height_o="3300" data-src="https://freight.cargo.site/t/original/i/63995381124ef21a908c966e6225ad9e39f541eec354dbd609f83d0d4a868904/Meta_Data_Schema.png" data-mid="79721586" border="0" alt="Metadata Schema" data-caption="Metadata Schema" src="https://freight.cargo.site/w/1000/i/63995381124ef21a908c966e6225ad9e39f541eec354dbd609f83d0d4a868904/Meta_Data_Schema.png" /&#62;
&#60;img width="3300" height="5100" width_o="3300" height_o="5100" data-src="https://freight.cargo.site/t/original/i/db738786bd10f5ccd06fe5d681d042a015804332600c94d211ed805078c778e1/Metadata_1.png" data-mid="79721587" border="0" alt="Tagged Metadata" data-caption="Tagged Metadata" src="https://freight.cargo.site/w/1000/i/db738786bd10f5ccd06fe5d681d042a015804332600c94d211ed805078c778e1/Metadata_1.png" /&#62;
&#60;img width="1438" height="1074" width_o="1438" height_o="1074" data-src="https://freight.cargo.site/t/original/i/6517d78ea753698f6f72c18851d0ff07a913a4542c3463512e2aa343e842826d/Screen-Shot-2020-08-11-at-6.48.12-PM.png" data-mid="79721600" border="0" alt="Ava's data assemblage" data-caption="Ava's data assemblage" src="https://freight.cargo.site/w/1000/i/6517d78ea753698f6f72c18851d0ff07a913a4542c3463512e2aa343e842826d/Screen-Shot-2020-08-11-at-6.48.12-PM.png" /&#62;
&#60;img width="3244" height="3300" width_o="3244" height_o="3300" data-src="https://freight.cargo.site/t/original/i/e15459f60af0c256d35107eaf150e0dd8af8e84af228b55455f29b11db60765a/Data-about-other-.png" data-mid="79721573" border="0" alt="Tagged Metadata" data-caption="Tagged Metadata" src="https://freight.cargo.site/w/1000/i/e15459f60af0c256d35107eaf150e0dd8af8e84af228b55455f29b11db60765a/Data-about-other-.png" /&#62;
&#60;img width="2703" height="3300" width_o="2703" height_o="3300" data-src="https://freight.cargo.site/t/original/i/ec430780e5a90e418ac7059f571d8778b1046f0a83ce95e08f2736c0005e4fa7/data_point.png" data-mid="79721574" border="0" alt="Data point visualization" data-caption="Data point visualization" src="https://freight.cargo.site/w/1000/i/ec430780e5a90e418ac7059f571d8778b1046f0a83ce95e08f2736c0005e4fa7/data_point.png" /&#62;
&#60;img width="1800" height="2205" width_o="1800" height_o="2205" data-src="https://freight.cargo.site/t/original/i/7c6dab3e259e80f4d267af2e08852206d4719306b8608f53b61884df1c4b697c/Screenshot-2020-04-12-23.53.49.png" data-mid="79721592" border="0" alt="Assets viewed in Torch AR" data-caption="Assets viewed in Torch AR" src="https://freight.cargo.site/w/1000/i/7c6dab3e259e80f4d267af2e08852206d4719306b8608f53b61884df1c4b697c/Screenshot-2020-04-12-23.53.49.png" /&#62;
&#60;img width="788" height="980" width_o="788" height_o="980" data-src="https://freight.cargo.site/t/original/i/a9b6e5327b69622353347fc0872a7c3e913c6cf692e3818fe54ae194a4d3ac0c/Screenshot-2020-04-12-23.57.52.png" data-mid="79721595" border="0" alt="Tagged data in AR" data-caption="Tagged data in AR" src="https://freight.cargo.site/w/788/i/a9b6e5327b69622353347fc0872a7c3e913c6cf692e3818fe54ae194a4d3ac0c/Screenshot-2020-04-12-23.57.52.png" /&#62;
&#60;img width="769" height="1043" width_o="769" height_o="1043" data-src="https://freight.cargo.site/t/original/i/0d2d77fd558db5857f65108f215eedf79583f2182a67ac24fec819c670cf60f7/Screenshot-2020-04-12-23.51.23.png" data-mid="79721590" border="0" alt="Abstracted data points in AR" data-caption="Abstracted data points in AR" src="https://freight.cargo.site/w/769/i/0d2d77fd558db5857f65108f215eedf79583f2182a67ac24fec819c670cf60f7/Screenshot-2020-04-12-23.51.23.png" /&#62;
&#60;img width="1044" height="1566" width_o="1044" height_o="1566" data-src="https://freight.cargo.site/t/original/i/aa406bf2c13579a9a1405338278dee52eaf3d2a6fa4df00027d4fff290dd99db/Screenshot-2020-04-19-20.59.53.png" data-mid="79721588" border="0" alt="Hologram to simulate sensor functionality" data-caption="Hologram to simulate sensor functionality" src="https://freight.cargo.site/w/1000/i/aa406bf2c13579a9a1405338278dee52eaf3d2a6fa4df00027d4fff290dd99db/Screenshot-2020-04-19-20.59.53.png" /&#62;


	 
This study explores contextual and expressive awareness of IoT sensors and data. It details how they can bring awareness to themselves in the environment through tactics that highlight, locate, describe, or simulate their mechanics and intent. It then explores the format in which the information can be given: overlaid text, hyperlinking to websites, providing detailed infographics. It also questions how sensors and data can be differentiated from each other and convey information that is aligned with their purpose—what they do, how they do it, how sensitive a sensor may be to a user. 
This study proposes a data schema that can be applied in the design of data (and sensors). Metadata can be represented by tagging, nesting, or overlaying information on some form—this information can shift in hierarchy according to the user’s preferences.&#38;nbsp;


	
	Study 3:
	
ExpansionHow can the design of applied interactions facilitate an embodied awareness of information while promoting user agency?



	








	










Expansion covers interactions that are synonymous with embodiment in the context of AR. Embodied Awareness unfolds through the experience of walking, locating, accessing, and interacting with sensors and data in augmented space. It is a multisensory, physical experience that can be facilitated in design through interventions that initiate movement (such as leaving traces for a user to follow), provoking first person perspective—the user is the enactor rather than the observer—and through blending in with the environment (Hummels &#38;amp; Dijk, 2015).
This study proposes that interactions are synonymous with embodied sensemaking in AR. As such, designers should prototype for embodied experiences as well as cognitive ones. 
Embodied experiences can facilitate a spatial and material understanding of IoT infrastructure through the placement of assets and applied interactions. A cluster of assets surrounding the user can provoke a sense of immersion, while distant and unreachable assets can initiate mobility and re-orientation. It discusses the downsides of embodied interactions such as cognitive and perceptual hindrances caused by distortion and resolution, viewpoint mismatching, and illegible displays of information (Olshannikova et al., 2015).


	
&#60;img width="2500" height="1932" width_o="2500" height_o="1932" data-src="https://freight.cargo.site/t/original/i/5ac28eaa52509b4de66fb982b517e9564836d815f5ef40fa4a2a8b373854b217/Proposed_System.png" data-mid="79721569" border="0" alt="Framework for facilitating awareness of invisibible IoT infrastructure" data-caption="Framework for facilitating awareness of invisibible IoT infrastructure" src="https://freight.cargo.site/w/1000/i/5ac28eaa52509b4de66fb982b517e9564836d815f5ef40fa4a2a8b373854b217/Proposed_System.png" /&#62;
&#60;img width="3000" height="3579" width_o="3000" height_o="3579" data-src="https://freight.cargo.site/t/original/i/c4e92ae3bc0b6300bab1316b26ad117f19b4c06eb066f4e90b778e15baebb1a0/Scenario_1.png" data-mid="79721602" border="0" alt="Scenario Map" data-caption="Scenario Map" src="https://freight.cargo.site/w/1000/i/c4e92ae3bc0b6300bab1316b26ad117f19b4c06eb066f4e90b778e15baebb1a0/Scenario_1.png" /&#62;
&#60;img width="2249" height="3000" width_o="2249" height_o="3000" data-src="https://freight.cargo.site/t/original/i/a7e9e0fd03b93250728a75c07d94aba76e2726ca9958caaf45215fd506af4997/Scenario_2.png" data-mid="79721603" border="0" alt="Scenario Map" data-caption="Scenario Map" src="https://freight.cargo.site/w/1000/i/a7e9e0fd03b93250728a75c07d94aba76e2726ca9958caaf45215fd506af4997/Scenario_2.png" /&#62;

	DISCUSSION


Scenario Map + Framework
As a whole, the studies comprise a system in which an unaware pedestrian, Ava can come into contact with and engage with invisible IoT infrastructure. This sytem relies on touchpoints in the phyical environment (subquestion 1) and embodied interactions in AR (Subquestion 2 and 3). The scenario map outlines her user journey. The sketch framework diagrams the system in its entirety.&#38;nbsp;
Design PrinciplesFindings from these studies suggest principles to apply when designing for awareness or in the data and IoT domain: Designing for embodied sense making acknowledges the material, spatial, and embedded nature of digital information that can help bridge the digital-physical divide.Leveraging IoT infrastructure agency through metaphor and enchantment. It is clear from substantial research that embedded sensors and data have a degree of agency and influence on human lives. And the way we render these things in the design of smart devices affects human perception and ways of relating to them. Enchantement can provoke awareness in ways that are not necessarily cute, or anthropomorphized—but them as agents in their own right.By remaining invisible, discrete, and abstract, there will continue to be an imbalance of power between users and technological artifacts.
Using More than Human theories as guiding frameworks can broaden solution possibilities in the design of complex systems—especially in the ideation process by approaching systems through alternative perspectives. Findings can then be framed from a user-centered perspective to make designs more viable and usable.While the scope of this project is largely speculative, its content is of ethical concern for the future of IoT design. Should IoT infrastructure remain seamlessly invisible or provoke awareness through added friction? Does citizen right–to–know mean that users must seek out information themselves or that transparency is made evident through design? Maybe this issue will not be as pressing to the next generation of digital natives who are so embedded in digital infrastructure their cares and concerns are different from ours. But, I’d argue that it should be regarded as essential as usability testing in the design of IoT spaces. Citizens should have the choice to engage, care, or delete. Designing for awareness can facilitate just that.



	


	









	


	
















&#60;img width="1167" height="1167" width_o="1167" height_o="1167" data-src="https://freight.cargo.site/t/original/i/8a4aa703a7a2b5a0e8462eecf0d5d5bd8e4c1fef69e61e7c1e31aa4303f61b29/Concept_1.png" data-mid="79721554" border="0"  src="https://freight.cargo.site/w/1000/i/8a4aa703a7a2b5a0e8462eecf0d5d5bd8e4c1fef69e61e7c1e31aa4303f61b29/Concept_1.png" /&#62;</description>
		
	</item>
		
		
	<item>
		<title>The Future of Retail</title>
				
		<link>https://katiefrohbosedesign.com/The-Future-of-Retail</link>

		<pubDate>Fri, 17 Jul 2020 16:46:06 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/The-Future-of-Retail</guid>

		<description>THE FUTURE OF RETAIL

	
&#60;img width="1600" height="1600" width_o="1600" height_o="1600" data-src="https://freight.cargo.site/t/original/i/926716947c0cfd4d8b90c03a735a79dc3b89c97ce47e8959d2b81759cc297d6e/INTERFACEJagged-Line-Animation-Still.png" data-mid="79378896" border="0"  src="https://freight.cargo.site/w/1000/i/926716947c0cfd4d8b90c03a735a79dc3b89c97ce47e8959d2b81759cc297d6e/INTERFACEJagged-Line-Animation-Still.png" /&#62;


	Spring 2019

The Intelligent Auto Store&#38;nbsp;
How might an auto parts company ethically leverage machine learning in their Store of the Future to produce personalized, efficient, useful consumer interactions that allay user concerns? What role might the sales team members play in supporting such positive experiences?CollaboratorsDmitri KnappVictoria GersonAshey Anderson
UX DesignMachine LearningImage Recognition


	
	Challenge
For this project we were tasked to incorporate machine learning and facial recognition in an retail environment that sells car parts. The project was divided into three teams. Our persona was the expert.
Learner: Someone who has limited knowledge of cars.

Achiever: Someone who is a car enthusiast.
 Expert: Someone who is very knowledgable about cars and works on them.




	


&#60;img width="2880" height="1800" width_o="2880" height_o="1800" data-src="https://freight.cargo.site/t/original/i/8bf5154883be850a940feab1410abdbfbe639fa0aab509e686d8b800c5a19719/Screen-Shot-2020-08-18-at-2.41.36-PM.png" data-mid="80232094" border="0" alt="Matrix of store observations" data-caption="Matrix of store observations" src="https://freight.cargo.site/w/1000/i/8bf5154883be850a940feab1410abdbfbe639fa0aab509e686d8b800c5a19719/Screen-Shot-2020-08-18-at-2.41.36-PM.png" /&#62;

	Approach
Understanding the User and the store

In the initial phase of the design research process, we conducted fly on the wall observations of their Store of the Future (a prototyped future retail space) as well as stores in operation. We conducted interviews with managers, employees, and customers, and asked them to reflect on expert persona behavior—how they use the store (routes, needs, purchases), and their relationship with the owners. We also interviewed an ex-mechanic to glean insights into needs, wishes, and pain points..
InsightsExperts use a reserved section—the back of the store.They typically know what they want before they come in and order parts online.Experts want to reduce time to maximize profit.&#38;nbsp;Experts like clout and recognition.Experts can gain connections through in store experiences.&#38;nbsp;



	

&#60;img width="3024" height="4032" width_o="3024" height_o="4032" data-src="https://freight.cargo.site/t/original/i/455a62c3d9ed6666c7c1df7a564923999312df9795d0a1c7c667890abf05c33d/POSTITS.jpg" data-mid="79378859" border="0" alt="Workshopping Probe Results" data-caption="Workshopping Probe Results" src="https://freight.cargo.site/w/1000/i/455a62c3d9ed6666c7c1df7a564923999312df9795d0a1c7c667890abf05c33d/POSTITS.jpg" /&#62;
&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/5c2a75ae6ca3428498ea24b34a616b42de9b0580805549ab1410d203f154e945/AI-Cultural-Probe_KF_Edit.jpg" data-mid="79211431" border="0" alt="Cultural Probe Worksheet" data-caption="Cultural Probe Worksheet" src="https://freight.cargo.site/w/1000/i/5c2a75ae6ca3428498ea24b34a616b42de9b0580805549ab1410d203f154e945/AI-Cultural-Probe_KF_Edit.jpg" /&#62;
&#60;img width="1366" height="1764" width_o="1366" height_o="1764" data-src="https://freight.cargo.site/t/original/i/041440594ae71f0346ce863914f233edb91e8155abb0a935f2f01ed26f33fbd7/Screen-Shot-2020-08-18-at-3.06.03-PM.png" data-mid="80233477" border="0" alt="Cultural Probe Worksheet" data-caption="Cultural Probe Worksheet" src="https://freight.cargo.site/w/1000/i/041440594ae71f0346ce863914f233edb91e8155abb0a935f2f01ed26f33fbd7/Screen-Shot-2020-08-18-at-3.06.03-PM.png" /&#62;
&#60;img width="1394" height="1798" width_o="1394" height_o="1798" data-src="https://freight.cargo.site/t/original/i/da01105476fd8ff148ae5715d74a6c1f74490d0f147090d531a6b038ddd64e6b/Screen-Shot-2020-08-18-at-3.06.11-PM.png" data-mid="80233478" border="0" alt="Cultural Probe Worksheet" data-caption="Cultural Probe Worksheet" src="https://freight.cargo.site/w/1000/i/da01105476fd8ff148ae5715d74a6c1f74490d0f147090d531a6b038ddd64e6b/Screen-Shot-2020-08-18-at-3.06.11-PM.png" /&#62;
&#60;img width="3151" height="2789" width_o="3151" height_o="2789" data-src="https://freight.cargo.site/t/original/i/b3a259463276b6386dc52652f9c046b05c81d7efc1261921fc28b61887f23424/Hopes_Fears_Matrix_3.jpg" data-mid="79211434" border="0" data-scale="45" alt="Hopes and Fears Matrix" data-caption="Hopes and Fears Matrix" src="https://freight.cargo.site/w/1000/i/b3a259463276b6386dc52652f9c046b05c81d7efc1261921fc28b61887f23424/Hopes_Fears_Matrix_3.jpg" /&#62;

	Understanding Machine LearningTo create context, we did a&#38;nbsp;benchmark analysis of existing&#38;nbsp;machine learning technologies in retail spaces and crafted cultural probes to gain insight into user’s hopes and fears concerning AI.


	
&#60;img width="6454" height="2941" width_o="6454" height_o="2941" data-src="https://freight.cargo.site/t/original/i/ed8711e868dc71b221a34dd87cadf0bb29fac95d89edbd1add7a89f47ff1bfe0/GD503-AAP-2019-Expert-AAP-User-Journey-Map-_To-Be_.jpg" data-mid="79644521" border="0" alt="As-Is user journey map" data-caption="As-Is user journey map" src="https://freight.cargo.site/w/1000/i/ed8711e868dc71b221a34dd87cadf0bb29fac95d89edbd1add7a89f47ff1bfe0/GD503-AAP-2019-Expert-AAP-User-Journey-Map-_To-Be_.jpg" /&#62;
&#60;img width="3000" height="1339" width_o="3000" height_o="1339" data-src="https://freight.cargo.site/t/original/i/0a08a62233cda0e6a2f1fa1a7cabb67750b63280a24d7dde13e7acd9aeff9e12/AAP_Journey-Map-and-Persona---Copy-of-Gestalt-Diagram_-All-personas-2.jpg" data-mid="79644884" border="0" alt="Mapping user journeys and the store ecology" data-caption="Mapping user journeys and the store ecology" src="https://freight.cargo.site/w/1000/i/0a08a62233cda0e6a2f1fa1a7cabb67750b63280a24d7dde13e7acd9aeff9e12/AAP_Journey-Map-and-Persona---Copy-of-Gestalt-Diagram_-All-personas-2.jpg" /&#62;
&#60;img width="1386" height="900" width_o="1386" height_o="900" data-src="https://freight.cargo.site/t/original/i/82eda294b4d33d5717eab2b08595fb94e1a8950d1fad915449f163f235ffa598/Scenario_Sketches.jpg" data-mid="80237051" border="0" alt="Storyboard" data-caption="Storyboard" src="https://freight.cargo.site/w/1000/i/82eda294b4d33d5717eab2b08595fb94e1a8950d1fad915449f163f235ffa598/Scenario_Sketches.jpg" /&#62;
&#60;img width="2260" height="1150" width_o="2260" height_o="1150" data-src="https://freight.cargo.site/t/original/i/b7d34363a711de7ed58f78ce053a285ae8b06c6a9d3d860e5d93765420f2215f/Screen-Shot-2020-08-18-at-3.58.06-PM.png" data-mid="80237050" border="0" alt="Expert Persona, Craig" data-caption="Expert Persona, Craig" src="https://freight.cargo.site/w/1000/i/b7d34363a711de7ed58f78ce053a285ae8b06c6a9d3d860e5d93765420f2215f/Screen-Shot-2020-08-18-at-3.58.06-PM.png" /&#62;
&#60;img width="3988" height="2446" width_o="3988" height_o="2446" data-src="https://freight.cargo.site/t/original/i/566a40024f9b5828ee722fb2484c6af8c6069e4c517fa5c19c4e78640e124b7b/IMG_7407.png" data-mid="79642811" border="0" alt="Initial whiteboard sketches" data-caption="Initial whiteboard sketches" src="https://freight.cargo.site/w/1000/i/566a40024f9b5828ee722fb2484c6af8c6069e4c517fa5c19c4e78640e124b7b/IMG_7407.png" /&#62;

	Generating Personas and Scenarios
We gleaned insights from initial research methods to refine our persona, Craig, and created an&#38;nbsp; “As Is” user journey map. We identified pain points and areas for opportunity:

Time: Improve rather than decrease time in the store.
Recognition: How can his expertise be recognizedExpertise: Leverage to create meaningful connections





	
&#60;img width="6000" height="4000" width_o="6000" height_o="4000" data-src="https://freight.cargo.site/t/original/i/bab2d858da09f0d2b0d83478b8c9b363e7374efd9e1003c0adfc9d1b8350cbc5/Stuart_Candy_Workshop-25-of-107.jpg" data-mid="79378860" border="0" data-scale="57" alt="Thing from the future card game" data-caption="Thing from the future card game" src="https://freight.cargo.site/w/1000/i/bab2d858da09f0d2b0d83478b8c9b363e7374efd9e1003c0adfc9d1b8350cbc5/Stuart_Candy_Workshop-25-of-107.jpg" /&#62;
&#60;img width="2032" height="1534" width_o="2032" height_o="1534" data-src="https://freight.cargo.site/t/original/i/78b525c4e62f38454283b3430abc26cfc9b6152f81492ba835244a74efada461/Screenshot-2020-07-14-16.42.30.png" data-mid="80715493" border="0" alt="Enacting Futures Workshop" data-caption="Enacting Futures Workshop" src="https://freight.cargo.site/w/1000/i/78b525c4e62f38454283b3430abc26cfc9b6152f81492ba835244a74efada461/Screenshot-2020-07-14-16.42.30.png" /&#62;

	IdeatingOnce we had substantial preliminary research, we began the divergent stage of designing. To consider future scenarios, we workshopped with Futurist Stuart Candy and played the Thing of the Future Game. We used the game to expand upon potential scenarios and possibilities—some being pretty out there.&#38;nbsp;
See Enacting Futures Workshop.

	
&#60;img width="19120" height="5758" width_o="19120" height_o="5758" data-src="https://freight.cargo.site/t/original/i/16d3699a2c49434570d02ae416cfb6a430d39fb5beaed02a6568cf70d03e1256/GD503-AAP-2019-Expert-AAP-Interface-Sketches-5.png" data-mid="79642903" border="0" alt="Persona task flows" data-caption="Persona task flows" src="https://freight.cargo.site/w/1000/i/16d3699a2c49434570d02ae416cfb6a430d39fb5beaed02a6568cf70d03e1256/GD503-AAP-2019-Expert-AAP-Interface-Sketches-5.png" /&#62;
&#60;img width="4501" height="8001" width_o="4501" height_o="8001" data-src="https://freight.cargo.site/t/original/i/af808ded3ec55de2896cc284bf110455a81dc663629302aed539fe2e1d82e7fc/GD503-AAP-2019-Expert-AAP-Interface-Sketches-6.jpg" data-mid="79378906" border="0" alt="Initial screen mockup" data-caption="Initial screen mockup" src="https://freight.cargo.site/w/1000/i/af808ded3ec55de2896cc284bf110455a81dc663629302aed539fe2e1d82e7fc/GD503-AAP-2019-Expert-AAP-Interface-Sketches-6.jpg" /&#62;
&#60;img width="4032" height="3024" width_o="4032" height_o="3024" data-src="https://freight.cargo.site/t/original/i/e6af37f6686544e8e759595a95298762f2a8557642d8d7e8a229e2cf1e4fa6fd/IMG_4348.jpg" data-mid="79644966" border="0" alt="User testing" data-caption="User testing" src="https://freight.cargo.site/w/1000/i/e6af37f6686544e8e759595a95298762f2a8557642d8d7e8a229e2cf1e4fa6fd/IMG_4348.jpg" /&#62;
&#60;img width="6000" height="4000" width_o="6000" height_o="4000" data-src="https://freight.cargo.site/t/original/i/3d1acde17afec7c90b911011795e8bd11914008b7988b1d81e3d6bf76ff69733/AAP_Store_Observation1.JPG" data-mid="80235908" border="0" alt="Bodystorming in the Store of the Future" data-caption="Bodystorming in the Store of the Future" src="https://freight.cargo.site/w/1000/i/3d1acde17afec7c90b911011795e8bd11914008b7988b1d81e3d6bf76ff69733/AAP_Store_Observation1.JPG" /&#62;

	Lofi Prototyping + User TestingWe then narrow downed concepts, created alternative task flows, and generated “to be” User journey maps. We&#38;nbsp; Body Stormed our ideas in the Store of the Future and critiqued initial iterations with the data scientist team to help us determine technical limitations.&#38;nbsp;

Lofi iterations explored how machine learning can connect learners and achievers with experts inside the store. Our main concerns were how to ensure user privacy throughout the pre-store, in-store, and after-store experience. We user tested printed screen iterations at scale in studio.&#38;nbsp;


	
&#60;img width="2160" height="3840" width_o="2160" height_o="3840" data-src="https://freight.cargo.site/t/original/i/c5df164746c22b5c078004193edcd46fabeec8a12934efbe87a92139cb2cc939/INTERFACEScreen_8.png" data-mid="79378908" border="0" alt="Hi Fi in-store visualization" data-caption="Hi Fi in-store visualization" src="https://freight.cargo.site/w/1000/i/c5df164746c22b5c078004193edcd46fabeec8a12934efbe87a92139cb2cc939/INTERFACEScreen_8.png" /&#62;
&#60;img width="6000" height="4000" width_o="6000" height_o="4000" data-src="https://freight.cargo.site/t/original/i/0362501a8ba277cb80b7aa88c1217d5fee17369e23f3c22002a6b882acdf8896/GD503-AAP-2019-Expert-AAP-Scenario-Video-Filming-Photos-3.JPG" data-mid="77656510" border="0" alt="Filming the scenario video" data-caption="Filming the scenario video" src="https://freight.cargo.site/w/1000/i/0362501a8ba277cb80b7aa88c1217d5fee17369e23f3c22002a6b882acdf8896/GD503-AAP-2019-Expert-AAP-Scenario-Video-Filming-Photos-3.JPG" /&#62;

	Hi-Fi Prototyping + Filming&#38;nbsp;Insights from the tests led to “to be” user journey maps,”&#38;nbsp;Hi-Fi prototypes, and a final scenario video&#38;nbsp; we filmed at the Store of the Future. The project culminated in a presentation at the auto parts store headquarters downtown Raleigh. &#38;nbsp;



	

	

	Final Concept



	



&#60;img width="3000" height="1689" width_o="3000" height_o="1689" data-src="https://freight.cargo.site/t/original/i/c5ed3a1bad9c5f308931e3351f9d714765fbd5d0acc3fcf7b3c8d73203c50aae/AAP_EXPERT_pres_template-1_06.jpg" data-mid="79378935" border="0" alt="The designed system and features" data-caption="The designed system and features" src="https://freight.cargo.site/w/1000/i/c5ed3a1bad9c5f308931e3351f9d714765fbd5d0acc3fcf7b3c8d73203c50aae/AAP_EXPERT_pres_template-1_06.jpg" /&#62;
&#60;img width="2972" height="1848" width_o="2972" height_o="1848" data-src="https://freight.cargo.site/t/original/i/ef7a1bd802ddd79525f5b8b3475383ca52e624623dfbb046b3b63b97e8339455/Screenshot-2020-07-17-13.07.39.png" data-mid="77656428" border="0" alt="The Learner, Luis, finding in store expertise" data-caption="The Learner, Luis, finding in store expertise" src="https://freight.cargo.site/w/1000/i/ef7a1bd802ddd79525f5b8b3475383ca52e624623dfbb046b3b63b97e8339455/Screenshot-2020-07-17-13.07.39.png" /&#62;
&#60;img width="2556" height="1786" width_o="2556" height_o="1786" data-src="https://freight.cargo.site/t/original/i/83a5b422d8c5d9b54a79c6949b3107eb8b193e52ac069b07f19c858bd41fcd3a/Screenshot-2020-07-17-13.07.02.png" data-mid="77656429" border="0" alt="The Expert, Craig, accessing his member profile" data-caption="The Expert, Craig, accessing his member profile" src="https://freight.cargo.site/w/1000/i/83a5b422d8c5d9b54a79c6949b3107eb8b193e52ac069b07f19c858bd41fcd3a/Screenshot-2020-07-17-13.07.02.png" /&#62;


	The Intelligent Auto Store


The final concept is centers around a revamping of the auto-store’s loyalty program to include a means through which customers and employees can connect through shared interests and levels of car knowledge expertise via image recognition and Machine learning. The system is displayed on a large scale in store monitor titled “How Smart is the Store” that provides access to user profiles and real time tracking of the store expertise. “How Smart is the Store” system consists of experiences had both in and out of the store and encourages learner, achiever, expert, and employee participation.
The first touch point takes place pre-store: a user must create a Perks Account. This account functions the same way as it currently does, but with additional networking features. A user has the option to take a technician quiz that establishes their level of expertise and select how they want to engage with the community, via their particular “car related interests.” A profile is then created which they can choose to share or not share on the inshore visualization screen an app.

Once in store, the system is accessed through a large scale touch screen that, when not in use, shows the store’s shifting expertise and customer ecology. A customer can view member profiles, dl the app, make connections through ML recommendations, and bookmark member profiles to access later.&#38;nbsp; 

Because the system functions to initiate connections that extend beyond the store experience, the final touch point is the app, accessed through a member’s phone or website. Here a member can read the car forum, check their inbox to answer/ask questions to other experts, build their network, and receive props and perks to be used for later purchases.

Features
Expertise and Quiz: Speed Perks Members can take the Advance Expert Challenge to gain rewards and build their profile. Real time store tracking: Dynamic visualization depicts who is in the store and their level of expertise with an opt in opt out process (Video of store tracking/Image of Novice/Expert Connections + Networking: Filtering system displays a user’s connection in the store according to their interests. Eye tracking: A customizable modular interface design for accessibilityScreen to Phone integration: The app allows the user to scan the store expert in order to bookmark their information or ask a question.&#38;nbsp;Wider ImplicationAs a whole, the system functions to build community, disseminate car knowledge, incentive Speed Perk participation, and increase customer loyalty. It asks how ML capabilities can:

Create community around each level of customer expertiseLeverage the physical aspect of a traditional retail space to facilitate networking and communityLeverage knowledge and expertise of the customers to benefit the business.

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	<item>
		<title>Tangible Data</title>
				
		<link>https://katiefrohbosedesign.com/Tangible-Data</link>

		<pubDate>Wed, 15 Jul 2020 20:24:33 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/Tangible-Data</guid>

		<description>Tangible Data&#60;img width="741" height="524" width_o="741" height_o="524" data-src="https://freight.cargo.site/t/original/i/36b35eac993d8ff89521fd3f0f8a59038a020a6b4bf8f6e1e4ca887b4db26e97/Hands-with-Stones.png" data-mid="80245548" border="0"  src="https://freight.cargo.site/w/741/i/36b35eac993d8ff89521fd3f0f8a59038a020a6b4bf8f6e1e4ca887b4db26e97/Hands-with-Stones.png" /&#62;The Soft Stone
In our fall 2018 studio, teams of students led seven workshops that explored a topic of AIGA's Designer 2025. Each workshop resulted in a visual product and as a whole culminated in a group exhibition. We then took a deep dive into individual areas of interest. I focused on the aggregation, curation, and visualization of data and developed the concept for a mutable hand held device, The Soft Stone.UX DesignSpeculative DesignData Physization 



	

	





	What is it?The Soft Stone is a soft robotic device that can deliver haptic feedback to a user for the purpose of human assistance and mental health.

&#60;img width="1140" height="674" width_o="1140" height_o="674" data-src="https://freight.cargo.site/t/original/i/9651e6475973a229f451e74e6ffc19b5190e9e105ed289c350ae9cb35874a81e/Asset_11_4x-8.png" data-mid="79838684" border="0"  src="https://freight.cargo.site/w/1000/i/9651e6475973a229f451e74e6ffc19b5190e9e105ed289c350ae9cb35874a81e/Asset_11_4x-8.png" /&#62;



How does it work?The stone aggregates the users data through touch and voice. The types of touch are kinesthetic and tactile. Kinesthetic touch requires the user to consciously activate the device by squeezing or tapping. Tactile devices records ambient information from touch with the skin (such as wearables like the fitbit). In addition to touch, the device has a sensor that records the users voice upon activation.
&#60;img width="1081" height="792" width_o="1081" height_o="792" data-src="https://freight.cargo.site/t/original/i/c6013e37dd507f6b867eada803b3f0bd369392ac1689cc13cd7dc0bc68744480/Soft_Stone_Original_Asset_4.png" data-mid="80301321" border="0"  src="https://freight.cargo.site/w/1000/i/c6013e37dd507f6b867eada803b3f0bd369392ac1689cc13cd7dc0bc68744480/Soft_Stone_Original_Asset_4.png" /&#62;

As the stone activates, it changes color and form.In its deactivated state the device is a solid with a smooth texture and resembles a crystal, rock, or palmstone. Once activated by touch or voice, the the topography of the stone shifts and morphs as a whole: the stone retains its relative shape but is altered through a material means, as it now has organic bumps with smooth soft surfaces. The stone also changes color through an ambient glow. These changes in form and color indicate changes in data that are representative of the user’s mental health indicated by their touch and voice. The stone is to serve as a physical representation of such data as well as a auditory journal.


&#60;img width="1520" height="656" width_o="1520" height_o="656" data-src="https://freight.cargo.site/t/original/i/84bbcd94bdc3d4ef087eae2fbd44727f0563027174eda453517554cb1c834761/Asset_8_4x-8.png" data-mid="77493773" border="0"  src="https://freight.cargo.site/w/1000/i/84bbcd94bdc3d4ef087eae2fbd44727f0563027174eda453517554cb1c834761/Asset_8_4x-8.png" /&#62;
	

What kind of Data?The database which collectes the user’s information is connected to the stone as well as an online interface (iphone, ipad app and website). The user is able to go into the app and view archived transcribed journal entries and information on the amount of time they squeeze, tap, or rub the rock. Data shows the level of their anxiety (determined by how much they physically interact with the rock) and words to go along with it (through their journal entries). The important thing is that there is a physical and digital representation of the user’s data. Multiple modalities allow for multiple layers of understanding and reflection.


&#60;img width="672" height="537" width_o="672" height_o="537" data-src="https://freight.cargo.site/t/original/i/99d97640924ce595917497332a7d97e1f108e0908df7fd6b805cd548faeed7ce/Soft_Stone_Original_Asset_8.png" data-mid="80244917" border="0"  src="https://freight.cargo.site/w/672/i/99d97640924ce595917497332a7d97e1f108e0908df7fd6b805cd548faeed7ce/Soft_Stone_Original_Asset_8.png" /&#62;
&#60;img width="859" height="385" width_o="859" height_o="385" data-src="https://freight.cargo.site/t/original/i/7c80dddf870a13286e3919f95f49cd88abcf45629cd6f856bc79a345314226e1/Soft_Stone_Original_Asset_10.png" data-mid="80243364" border="0"  src="https://freight.cargo.site/w/859/i/7c80dddf870a13286e3919f95f49cd88abcf45629cd6f856bc79a345314226e1/Soft_Stone_Original_Asset_10.png" /&#62;
&#60;img width="760" height="964" width_o="760" height_o="964" data-src="https://freight.cargo.site/t/original/i/090be42b6f88c018aa6ec05b714357e9ad8fdf5321f084f1edd982baf442937a/Asset_12_4x-8.png" data-mid="79838806" border="0"  src="https://freight.cargo.site/w/760/i/090be42b6f88c018aa6ec05b714357e9ad8fdf5321f084f1edd982baf442937a/Asset_12_4x-8.png" /&#62;
Why a stone and not a phone?

The stone gives the user a sense of digital disconnection through its grounding, physical, and talismanic properties. It’s simple interface eliminates phone distractions like texting, checking instagram and facebook, and playing games. In the context of mental health and mindfulness practices, unplugging is good for the mind (Goulding, 2017). The stone has a clear purpose—to record thoughts and depict data. By reducing distractions, the user can focus on those tasks alone. 

Cool, but why a rock?
The device takes the form of a palmstone which has for centuries, been associated with talismanic healing powers. People carry around stones, crystals, heirlooms, talismans, sobriety chips and prosthesisize their needs and wishes onto them by seeking external affirmations and reminders (Healy, 2016). An intention of this digital palmstone is to enable this prosthesis. 

By resembling a crystalline form, the stone renders the user’s data as physical and organic. Rather than looking at data as discrete and abstract i.e. a 2D visualization—the user can touch and feel their data. The embodiment of data in this way: physical, 3D, shape-shifting, and transient reinforces its very nature and provides a haptic layer of understanding (Lupton 2017). The palmstone is a smart device that feels enchanted (Rose, 2014). The stone also fits in the palm of the hand which can bring a sense of control and power over something as vast and scary as “mental health.” 



	


	Who would use it? User JourneyJake and Marie are having serious relationship issues. Though they have been able to in the past, they cannot communicate with eachother. Especially face to face. They started seeing a therapist who suggested that they use the Soft Stone to record their thoughts and mental health status. Each of them have their own stone but also share an account so they can visualize information together.

&#60;img width="1304" height="667" width_o="1304" height_o="667" data-src="https://freight.cargo.site/t/original/i/d4ea2666b270d691daea87d0c127b5233b12c5647dc5ab232fc4e290e7f20cf6/Soft_Stone_Original_Asset_13.png" data-mid="80243425" border="0"  src="https://freight.cargo.site/w/1000/i/d4ea2666b270d691daea87d0c127b5233b12c5647dc5ab232fc4e290e7f20cf6/Soft_Stone_Original_Asset_13.png" /&#62;Because of her daily commute, Marie prefers to use the stone on the go. She keeps it in her pocket and rubs it often. She usually talks while in transit. Jake prefers to use the stone during his morning meditation sessions. He makes sure to speak into the stone for at least 30 minutes each day.
&#60;img width="816" height="469" width_o="816" height_o="469" data-src="https://freight.cargo.site/t/original/i/41f4a42aa1a0fdecec4648918c2a9d86f3383164c6df13571435545773d98c37/Soft_Stone_Original_Asset_20.png" data-mid="80243363" border="0"  src="https://freight.cargo.site/w/816/i/41f4a42aa1a0fdecec4648918c2a9d86f3383164c6df13571435545773d98c37/Soft_Stone_Original_Asset_20.png" /&#62;
&#60;img width="2280" height="1378" width_o="2280" height_o="1378" data-src="https://freight.cargo.site/t/original/i/9f2b8cd891d38f39f9ca22c156197722ca6e835495d2721c5a637da4ce811252/Asset_23_4x-8.png" data-mid="79838831" border="0"  src="https://freight.cargo.site/w/1000/i/9f2b8cd891d38f39f9ca22c156197722ca6e835495d2721c5a637da4ce811252/Asset_23_4x-8.png" /&#62;
Every two weeks Jake and Marie meet together at their therapists office to exchange data, empathize, and try to find movements of friction in their relationship through syncing the stones up. They make sure to exchange stones so they can physically feel the other person’s thoughts and feelings in attempt to generate empathy and a haptic understanding of each-other.
&#60;img width="1140" height="1088" width_o="1140" height_o="1088" data-src="https://freight.cargo.site/t/original/i/fdf48789b7660576a4ba8afe79c61791b8c75ef04a5c1c6dbeea895a9d0cb39f/Asset_24_4x-8.png" data-mid="77493692" border="0"  src="https://freight.cargo.site/w/1000/i/fdf48789b7660576a4ba8afe79c61791b8c75ef04a5c1c6dbeea895a9d0cb39f/Asset_24_4x-8.png" /&#62;They also visualize their stones next to each other and overlaid on top of each other through a shared account. This brings up moments of friction and and ease they can reflect on for help in the relationship.

&#60;img width="1520" height="1140" width_o="1520" height_o="1140" data-src="https://freight.cargo.site/t/original/i/f086a7ab77749736cadb495f0da952009b2ed98ad5f03bc20e0ec25501c6dc6d/Asset_27_4x-8.png" data-mid="79838892" border="0"  src="https://freight.cargo.site/w/1000/i/f086a7ab77749736cadb495f0da952009b2ed98ad5f03bc20e0ec25501c6dc6d/Asset_27_4x-8.png" /&#62;
After 6 months of therapy, Jake and Marie have developed a deeper understanding of each other and have gotten past their communication block, triggers, and problems. They will continue to use the stone for personal reflection and as a tool to help their relationship.

&#60;img width="428" height="320" width_o="428" height_o="320" data-src="https://freight.cargo.site/t/original/i/aea7c2a472a920e4d6e15cbb613e707ec7394d6710b947715afc8d0013e5a740/Soft_Stone_Original_Asset_23.png" data-mid="80243833" border="0"  src="https://freight.cargo.site/w/428/i/aea7c2a472a920e4d6e15cbb613e707ec7394d6710b947715afc8d0013e5a740/Soft_Stone_Original_Asset_23.png" /&#62;


	

	


	
	Wider Implication
&#60;img width="1815" height="2799" width_o="1815" height_o="2799" data-src="https://freight.cargo.site/t/original/i/3c0e2782fce0c71f138e84e1c4208c011429a271ea7f440648afb171fb194775/Soft_Stone_Original_Asset_24.png" data-mid="80244805" border="0" data-scale="51" src="https://freight.cargo.site/w/1000/i/3c0e2782fce0c71f138e84e1c4208c011429a271ea7f440648afb171fb194775/Soft_Stone_Original_Asset_24.png" /&#62;
The Soft Stone is a forward thinking design tool to help bridge communication barriers, monitor mental health status, provide a means to archive thoughts seamlessly and unobtrusively, and to use the advantage of IOT and digital systems for reflective thought. All of these capabilities are outlined in trend 1, 2, and 7 in the AIGA 2025 (AIGA, 2018).

The Soft Stone embodies data that is typically hard to conceptualize (transient, ephemeral, non physical thoughts and “feelings:” anxiety, stressors and so forth in a small, physical object that is representative of the natural, organic world. The physical, tactile, and hand held nature of this data bridges a gap between that which is stored in data farms, far away from our conceptual and visual understanding, to something that is capable of being held, owned: We are in a sense reclaiming our data (which are extensions of ourselves) by making it more physical and aligned with our organic nature (Lupton, 2017).



Oftentimes triggers (emotional/trauma) and communication barriers (language/cultural) close the door for any type of information transfer to happen right upfront. When reading about theories of human behavior in Seminar, one thing that stuck out to me is that both diversity of thought and ease of communication is necessary to bring about behavior change—the stone brings about this ease by eliminating the barriers inherent in some face to face interactions. It draws upon the power of real-time capturing of data in what can be an immediate and stream of conscious way (speaking) so the user can get the emotions out with reflective thought, so the user can take time (once emotions have minimized) to view their data in relation to another.The stone also generates empathy because it is physical and organic (the user can feel the topography of their mind as well as others whe exchanging stones). It also has a mood enhancing and magical qualities through its shape-shifting form and beautiful, ambient colors.
Sources




“Aggregation and Curation.” Designer 2025 trend. AIGA: 2018. www.aiga/org/designer-2025

“Bridging Digital and Physical Experiences.” Designer 2025 trend. AIGA: 2018. www.aiga/org/designer-2025

Culbertson, Heather. Schorr, and Allison M. Okamura. “Haptics: The Present and Future of Artificial

Touch Sensation.” Annual Review of Control, Robotics, and Autonomous Systems. Annual Reviews. 5 Feb. 2018, https://www.annualreviews.org/doi/pdf/10.1146/annurev-control-060117-105043.

Goulding, Thomas. “How Getting Rid of my Smartphone Revolutionised my Life.” Independent. 2 Sep. 2017, https:// www.independent.co.uk/news/long _reads/ smartphone-get-rid-social-media-change-life-online-capitalism-internet-detox-control-a7910066.html

Healy, Margaret. “Wearing Powerful Words and Objects: Healing Prosthetics.” Textual Practice, 30:7,1233-1251, 28 Nov. 2016 http://doi.org/10.1080/0950236X.2016.1229905.

Hollan, Jim, Stornetta, Scott. “Beyond Being There.” Computer Graphics and Cognitive Science Research Groups. New York, NY: ACM, 1992.

“Making Sense in the Data Economy.” Designer 2025 trend. AIGA: 2018. www.aiga/org/designer-2025

Peng, Sirou. “A Wearable Soft Robot with Variable Material Distribution.” Interactive Architecture Lab, 16 Sep. 2018 http:www.siroupeng.com

Rose, David. Enchanted Objects: Innovation, Design, and the Future of Technology. New York, NY: Scribner, 2014.

Skorina, Erik H, Luo, Ming, and Cagdas D. Onal. “A Soft Robotic Wearable Wrist Device for Kinesthetic
</description>
		
	</item>
		
		
	<item>
		<title>Conversational User Interface</title>
				
		<link>https://katiefrohbosedesign.com/Conversational-User-Interface</link>

		<pubDate>Fri, 14 Aug 2020 17:11:47 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/Conversational-User-Interface</guid>

		<description>Conversational User InterfaceSpring 2019

Self Help CUIVirtual AgentSpeculative Design
CUI

	SpeculationWhen thinking about Conversational User Interfaces, I went down this research rabbit hole of downloading “self help” apps with therapy bots. I had several conversations with a few of them and found, in the end, that I left without any deeper reflective insights of myself. So my question is this: How can a virtual agent provide an interesting experience that would allow the human interactor to reflect upon themselves, in an unusual and insightful way? What are some moments in our real life when these flashes of insight occur—When we find ourself thinking “huh? Am I really that self absorbed, difficult to communicate with, or particularly pleasant?” These moments when someone challenges your sense of self. It is healthy for the ego to be in check time and time again. Can a Virtual agent serve as an ego checker?I looked into therapy techniques that help reflect back to the client their sense of self—either to challenge it or to help build up an identity from zero. Some include having the client stand in front of a mirror while working through their perceptive issues. Other techniques take the form of mimicking or mirroring the clients behavior—the therapist will reflect back a particular posture or energy the client is giving to them, so they can in turn see themselves in the therapist. Other ways of gaining alternative perceptions of self could be to directly ask a trusted friend what they truly think of you, or in more in more emboldened circumstances, taking mind altering drugs.
Then I started thinking how AI bots fall short. They are trying to meet the human interactor as if they are human themselves and have the capacity for real empathy or a similar knowledge bank of lived experiences humans have. And, they just don’t. They do, however, have the ability to provide insight in a acutely detailed algorithmic way that humans do not. Which begs the question: 
What does it feel to be mirrored by an AI bot that generates a sense of self through a programmed, algorithmic language? Instead of a lived experience similar to humans, a bot can assess emotions, feelings, “essences” of a person through facial, tonal, and verbal “readings” based off of programmed ways to assess these emotions. If your mouth is curved in a particular direction, facing towards your chin, you might be a certain percentage of “sad.” If your eyes light up when you talk about your mother and your pupils dilate, your assessment will bridge towards a certain amount of “happiness.”

	&#60;img width="1024" height="768" width_o="1024" height_o="768" data-src="https://freight.cargo.site/t/original/i/34148dd072a09f1d88bef00da42a86945dadee8509b94184f7e1aadf8778c2e3/CUI_Still_keynote_presentation_images.001.jpeg" data-mid="79912236" border="0"  src="https://freight.cargo.site/w/1000/i/34148dd072a09f1d88bef00da42a86945dadee8509b94184f7e1aadf8778c2e3/CUI_Still_keynote_presentation_images.001.jpeg" /&#62;
&#60;img width="1024" height="768" width_o="1024" height_o="768" data-src="https://freight.cargo.site/t/original/i/25ea6b94dfd9a8c3c1d938e2230ff63b4755980b12cbdc5bc6ea5968d5b57fd4/CUI_Still_keynote_presentation_images.003.jpeg" data-mid="79912238" border="0"  src="https://freight.cargo.site/w/1000/i/25ea6b94dfd9a8c3c1d938e2230ff63b4755980b12cbdc5bc6ea5968d5b57fd4/CUI_Still_keynote_presentation_images.003.jpeg" /&#62;

	&#60;img width="4500" height="2011" width_o="4500" height_o="2011" data-src="https://freight.cargo.site/t/original/i/3051f2efc3bd0b2072685389886f4ab7b54e6adc8a92d580de9b991507836a39/CUI_Assets_3.png" data-mid="79912235" border="0"  src="https://freight.cargo.site/w/1000/i/3051f2efc3bd0b2072685389886f4ab7b54e6adc8a92d580de9b991507836a39/CUI_Assets_3.png" /&#62;

&#60;img width="1024" height="768" width_o="1024" height_o="768" data-src="https://freight.cargo.site/t/original/i/2159e8d7d7c7a0d9276b3cf5aba0d9e96c0adba0f34d2edf889ec0e7f014eb66/CUI_Still_keynote_presentation_images.002.jpeg" data-mid="79912237" border="0" alt="Diagram of States" data-caption="Diagram of States" src="https://freight.cargo.site/w/1000/i/2159e8d7d7c7a0d9276b3cf5aba0d9e96c0adba0f34d2edf889ec0e7f014eb66/CUI_Still_keynote_presentation_images.002.jpeg" /&#62;

Wider ImplicationWhen would this type of judgement be useful? Through intentional interactions where you speak freely and the bot “corrects” your behavior? Or is it on all the time in the background, and interrupts your routine with these same suggestions: “Smile! Straighten your posture! You look tired…” What happens when you collect these movements of reflection into one large catalogue. What kind of insights can you gain about yourself? Would you be personally offended by the bot or emotionally affected? Could it provide a call to action to truly change?
 


</description>
		
	</item>
		
		
	<item>
		<title>The BookBot</title>
				
		<link>https://katiefrohbosedesign.com/The-BookBot</link>

		<pubDate>Wed, 12 Aug 2020 05:04:46 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/The-BookBot</guid>

		<description>
The bookBot
	
&#60;img width="2869" height="2847" width_o="2869" height_o="2847" data-src="https://freight.cargo.site/t/original/i/357a449ed6b9c2d9b68bd8b55e430b8467c10f9df07f4d77168bc29794e73923/website_BB.jpg" data-mid="79685897" border="0"  src="https://freight.cargo.site/w/1000/i/357a449ed6b9c2d9b68bd8b55e430b8467c10f9df07f4d77168bc29794e73923/website_BB.jpg" /&#62;
	
Spring 2018
Ana-Digi-Logic
In our spring studio 2018 we explored media and materials under the rubric of user experience. We were asked to utilize two-, three-, and four-dimensional media following specific prompts and develop the outcomes toward an integrated combination of works in all dimensions to engage and inform participants in community oriented spaces of learning. The locus for the information design is Hunt Library, Robot Alley, specifically the bookBot.
Information Design
Typography


	

	
	
	
	Project Objective
Transform the lobby into an activated, experiential, transient space that gives form to student and faculty needs as well as its own needs: to showcase and to provide an experience for its core purpose: the bookBot.


	

	





&#60;img width="380" height="300" width_o="380" height_o="300" data-src="https://freight.cargo.site/t/original/i/b996d846d7e54bde361a44bba67dc2b3024a4b21be721715d4df7c545e67d25b/2nd_Semester_Work_BookBot_1_Page_05_copy.png" data-mid="79685990" border="0" alt="Location of the bookBot" data-caption="Location of the bookBot" src="https://freight.cargo.site/w/380/i/b996d846d7e54bde361a44bba67dc2b3024a4b21be721715d4df7c545e67d25b/2nd_Semester_Work_BookBot_1_Page_05_copy.png" /&#62;
&#60;img width="3024" height="4032" width_o="3024" height_o="4032" data-src="https://freight.cargo.site/t/original/i/f33a75dc3512ff6e6964a0e47f5e29ef89d054dd42d5d7a882d2bc4b66c6ca5c/IMG_0038.jpg" data-mid="80694374" border="0" alt="Digital Browsing in Robot Alley" data-caption="Digital Browsing in Robot Alley" src="https://freight.cargo.site/w/1000/i/f33a75dc3512ff6e6964a0e47f5e29ef89d054dd42d5d7a882d2bc4b66c6ca5c/IMG_0038.jpg" /&#62;


	Defining the Problem

The ground floor lobby, Robot Alley, home of the bookBot is a transient meeting space, a connective hub that serves as the first entry point for many visitors of Hunt Library.&#38;nbsp; The lobby serves as a starting point for visitor tours, a space to experience the Book Bot, a waiting area for students in between classes, and an information hub.&#38;nbsp; 
Though the use of monitors and touch screens are reflective of Hunt’s forward-thinking mission, their size, positioning, and interactive limitations do not make them the most effective means for conveying information given the particular architectural constraints of the lobby itself leading to poor visual communication strategies.


The goal of this invesitagation is to:&#38;nbsp;

Explain how the bookBot works and give it some awareness.
Explore what "The Library of the Future" means in comparison to traditional notions of what a library is: from traditional browsing stacks to automated book retrieval systems. 
Provide a "choose your own adventure" informative experience.
Disseminate large amounts of information through appropriate information touch points.





	ApproachWe understood our locations—in my case, bookBot by applying an expansive, iterative, and improvisational research through design methodology.
I began by exploring the space itself, Robot Alley, and translated its material and spatial attributes as a one minute video short (Re: Exploring Robot Alley).Observed and recorded existing modes of information design at the Museum of Life and Science in Raleigh, NC and used insights to inform the private, semi-public, and public experience of information (Re: Museum observation).Created a compelling argument in the form of a written project brief.Ideated early concepts through physical manipulation of typography in 3D,&#38;nbsp; workshops, and “I wish” + Armando critiques.&#38;nbsp;Explored type design, style, and hierarchy through digital mockups in photoshop, illustrator, and sketchUp.Created a user journey map informed by observational studies of Robot Alley.Articulated the final concept through high fi mockups in SketchUp and photoshop.Presented findings to the class.
Below is process work of initial ideas and sketches:

 
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/5087f205958251872e3e0a05bbe6734d36bfdbdc242907dea669d5569e62b7ef/Robot_Alley_Frohbose2.png" data-mid="79686019" border="0" alt="Project component draft" data-caption="Project component draft" src="https://freight.cargo.site/w/400/i/5087f205958251872e3e0a05bbe6734d36bfdbdc242907dea669d5569e62b7ef/Robot_Alley_Frohbose2.png" /&#62;
&#60;img width="1146" height="1332" width_o="1146" height_o="1332" data-src="https://freight.cargo.site/t/original/i/24780b19fce4abb7e6fae52021d4439cad23ae8c65d1f1fec38765c434cab6be/Map4x-100.jpg" data-mid="80313026" border="0" alt="Initial concept" data-caption="Initial concept" src="https://freight.cargo.site/w/1000/i/24780b19fce4abb7e6fae52021d4439cad23ae8c65d1f1fec38765c434cab6be/Map4x-100.jpg" /&#62;
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/ebd987ee2dc9b7e1d2053a5169d22df29ff5bb5540424d22650c6bf3fc314026/BookBotNewuse-12.jpg" data-mid="79686013" border="0" alt="Initial Designs" data-caption="Initial Designs" src="https://freight.cargo.site/w/400/i/ebd987ee2dc9b7e1d2053a5169d22df29ff5bb5540424d22650c6bf3fc314026/BookBotNewuse-12.jpg" /&#62;
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/ac63b45e6c7af56ce7ea2cd73cad80e7980d2fb3b67578193b4f9f5ca22bd6ec/Screen_Shot_2018-02-26_at_4_10_35_PM.png" data-mid="79686023" border="0" alt="Typographic explorations in space" data-caption="Typographic explorations in space" src="https://freight.cargo.site/w/400/i/ac63b45e6c7af56ce7ea2cd73cad80e7980d2fb3b67578193b4f9f5ca22bd6ec/Screen_Shot_2018-02-26_at_4_10_35_PM.png" /&#62;
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/66ea13db36088f4d4a8aa70ff75712c29a5ad4f3bc963f9ec7dfb5530c854ded/Robot_Frohbose_I_Wish_IV.png" data-mid="79686024" border="0" alt="Initial sketches" data-caption="Initial sketches" src="https://freight.cargo.site/w/400/i/66ea13db36088f4d4a8aa70ff75712c29a5ad4f3bc963f9ec7dfb5530c854ded/Robot_Frohbose_I_Wish_IV.png" /&#62;
&#60;img width="960" height="540" width_o="960" height_o="540" data-src="https://freight.cargo.site/t/original/i/53e4ac4911cf8974c7046febe40e64039bc73a24c4b37132f09f477c244860cc/Robot-Alley_Frohbose-1.png" data-mid="79686016" border="0" alt="Virtual Library Concept" data-caption="Virtual Library Concept" src="https://freight.cargo.site/w/960/i/53e4ac4911cf8974c7046febe40e64039bc73a24c4b37132f09f477c244860cc/Robot-Alley_Frohbose-1.png" /&#62;
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/8b425225c1be90fd8bbdbe95398c9b0e376bc87ce85d43ff3391ec13ea4e9bfe/Screen_Shot_2018-03-15_at_1_21_13_PM.png" data-mid="79686021" border="0" alt="Understanding space in Maya" data-caption="Understanding space in Maya" src="https://freight.cargo.site/w/400/i/8b425225c1be90fd8bbdbe95398c9b0e376bc87ce85d43ff3391ec13ea4e9bfe/Screen_Shot_2018-03-15_at_1_21_13_PM.png" /&#62;
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/b33903636b031d21687dc7e0793ebb8c0d84c612eae3fcc38ac1fb4f84979b9c/Screen_Shot_2018-04-25_at_10_42_59_PM.png" data-mid="79686025" border="0" alt="Mockups in SketchUp" data-caption="Mockups in SketchUp" src="https://freight.cargo.site/w/400/i/b33903636b031d21687dc7e0793ebb8c0d84c612eae3fcc38ac1fb4f84979b9c/Screen_Shot_2018-04-25_at_10_42_59_PM.png" /&#62;
&#60;img width="1980" height="1980" width_o="1980" height_o="1980" data-src="https://freight.cargo.site/t/original/i/0917ecb356fc12c295b4721163e27eff19927126d833cf3ceb49083c02d6b23f/bb_word.gif" data-mid="80313023" border="0" alt="Typographic Explorations" data-caption="Typographic Explorations" src="https://freight.cargo.site/w/1000/i/0917ecb356fc12c295b4721163e27eff19927126d833cf3ceb49083c02d6b23f/bb_word.gif" /&#62;


	
&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/af207753fa2c9a3468a8c52ba7dd10929c532535e81b3ede2e3b6586962282c2/Robot_Frohbose_Reflections.jpg" data-mid="79685987" border="0" alt="Museum observations" data-caption="Museum observations" src="https://freight.cargo.site/w/1000/i/af207753fa2c9a3468a8c52ba7dd10929c532535e81b3ede2e3b6586962282c2/Robot_Frohbose_Reflections.jpg" /&#62;




	

&#60;img width="1140" height="641" width_o="1140" height_o="641" data-src="https://freight.cargo.site/t/original/i/5a33649deb969df83df8308773feb5c51b09d3bb1c7d70615c8f6993014ccca1/2nd_Semester_Work_BookBot_1_Page_07.jpg" data-mid="79685991" border="0" alt="Information touchpoints" data-caption="Information touchpoints" src="https://freight.cargo.site/w/1000/i/5a33649deb969df83df8308773feb5c51b09d3bb1c7d70615c8f6993014ccca1/2nd_Semester_Work_BookBot_1_Page_07.jpg" /&#62;

&#60;img width="1520" height="422" width_o="1520" height_o="422" data-src="https://freight.cargo.site/t/original/i/e3c5bf46af29f5cf1de72655b829b72bce10360ec2e90d3056b763c5797c4d5e/2nd_Semester_Work_BookBot_1_Page_03.jpg" data-mid="80311919" border="0" alt="bookBot typography" data-caption="bookBot typography" src="https://freight.cargo.site/w/1000/i/e3c5bf46af29f5cf1de72655b829b72bce10360ec2e90d3056b763c5797c4d5e/2nd_Semester_Work_BookBot_1_Page_03.jpg" /&#62;
&#60;img width="400" height="400" width_o="400" height_o="400" data-src="https://freight.cargo.site/t/original/i/239f49936ec8cf87e4dd5d12f3141de3ea8717cfdfac0b66fb4354e4b5797363/BBwithfurniture.jpg" data-mid="79686012" border="0" alt="3D application of type" data-caption="3D application of type" src="https://freight.cargo.site/w/400/i/239f49936ec8cf87e4dd5d12f3141de3ea8717cfdfac0b66fb4354e4b5797363/BBwithfurniture.jpg" /&#62;
&#60;img width="2470" height="1318" width_o="2470" height_o="1318" data-src="https://freight.cargo.site/t/original/i/5fac4908e07bf5e90731382e78314abaab1133552126fdf2196440c90676ee10/BBWALL_2.jpg" data-mid="80694137" border="0" alt="Touchpoint #2: benches with digital screens for library access" data-caption="Touchpoint #2: benches with digital screens for library access" src="https://freight.cargo.site/w/1000/i/5fac4908e07bf5e90731382e78314abaab1133552126fdf2196440c90676ee10/BBWALL_2.jpg" /&#62;
&#60;img width="2470" height="1318" width_o="2470" height_o="1318" data-src="https://freight.cargo.site/t/original/i/4e9492b7becea2f270c7eb86554ebc71629153b628718799bf6a7d7bf22a2060/BB_Table_2.jpg" data-mid="80313022" border="0" alt="Touchpoint #2" data-caption="Touchpoint #2" src="https://freight.cargo.site/w/1000/i/4e9492b7becea2f270c7eb86554ebc71629153b628718799bf6a7d7bf22a2060/BB_Table_2.jpg" /&#62;



	Synthesis and Prototype

Final Concept Video
First time visitor of Hunt Library has heard about the bookBot and the majesty of Hunt's design. They enter via ground level entrance by Common Grounds cafe and the bookBot. The video shows their movement throughout the space. It pauses at various information touch points.
Information Touch Points&#38;nbsp;
Information Wall (public, analogue). 
Pamphlet and table touch screen (semi-public, digital, analogue).
 3x3 call cards (private, analogue):&#38;nbsp;Virtual Library—large scale touch screen (semi-public/public, digital).
Digital Browsing
Once the user walks through the space they come upon a digital touchscreen that allows them to "browse" through the books in the bot. If you notice, the sort of randomization from browsing does not come by subject matter, but rather by size. What kind of surprises would this bring about when searching for books?


	




	
	Wider ImplicationThe project of the bookBot brings to mind the future of digital/physical spaces in libraries. How can we create meaningful experiences without foregoeing the affordances of digital archiving and accessing information?
Does the bookBot storage logic (books organized according to size) provide the same serendipity of stack storage logic (books organized according to subject matter) when browsing?

Can we fit traditional notions of what a library means (one of tactile browsing) into this new library context (virtual, internet browsing-collaboration). Or should we embrace a new concept of what a library is all together? 



</description>
		
	</item>
		
		
	<item>
		<title>Moore v. Nash</title>
				
		<link>https://katiefrohbosedesign.com/Moore-v-Nash</link>

		<pubDate>Wed, 12 Aug 2020 16:18:11 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

		<guid isPermaLink="true">https://katiefrohbosedesign.com/Moore-v-Nash</guid>

		<description>
	
	

Moore v. Nash
	

	Fall 2019
Moore v. NashEthographic Observation
Fly on the Wall


	


	
	
	Purpose of the Study
To observe the flow and usage of two central squares in downtown Raleigh, North Carolina: Nash Square and Moore Square.


	

&#60;img width="2072" height="1426" width_o="2072" height_o="1426" data-src="https://freight.cargo.site/t/original/i/ae9823bd6e8d15576e3e652bdb133c7a97edf9e6f79c22f9d43271b190fc6726/Screen-Shot-2020-08-14-at-1.39.03-PM.png" data-mid="79913027" border="0" alt="Map of downtown Raleigh: the two squares" data-caption="Map of downtown Raleigh: the two squares" src="https://freight.cargo.site/w/1000/i/ae9823bd6e8d15576e3e652bdb133c7a97edf9e6f79c22f9d43271b190fc6726/Screen-Shot-2020-08-14-at-1.39.03-PM.png" /&#62;


	Why this location?
History, location, and design—Nash and Moore Square originated in 1792 and their designs have shifted in form, function, and purpose through the centuries. Most recently, Moore Square underwent a 13 million dollar renovation which has created a distinct visual and spatial contrast from its neighboring Nash Square whose last redesign was in 1940. Both of them are centrally located downtown two blocks from each other. The North and South sides of each square run adjacent to Martin (on the south end) and Hargett (on the north end) streets. In between the two squares are three blocks separated by Wilmington and Fayetteville Street. It takes between five to ten minutes to walk from square to square.Both squares are flanked on the west and east by one way streets, though Nash’s streets are considerably busier (Dawson and S. McDowell vs. Moore (S. Blount and S. Person). They are also located amidst businesses and restaurants downtown. Each consists of open green space, large oak trees, and park benches and function as open air meeting spaces for people downtown. Because of their proximity and differences in landscape and design, I wanted to spend a day observing patterns and usage of the squares.





	
&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/5d781567e8d968bd5aacdb948aebb4025c80f8b33a247b94a2d658a5a13c20ad/Moore_Square_Study_Synopsis_2.jpg" data-mid="79913128" border="0" alt="Design and Management Recommendations for Public Open Space" data-caption="Design and Management Recommendations for Public Open Space" src="https://freight.cargo.site/w/1000/i/5d781567e8d968bd5aacdb948aebb4025c80f8b33a247b94a2d658a5a13c20ad/Moore_Square_Study_Synopsis_2.jpg" /&#62;

	MethodsI began my study with preliminary research on how to define public space and what sorts of things to look for in ethnographic observation. I wanted to choose a time where there were no scheduled events to view the squares on more democratic terms. I specifically chose not to come during a weekday as Moore was scheduled an artisanal fair that weekend, which would have skewed my results.Initial Observations
Friday morning, I entered the location by sitting in the squares, casually, recording general observations and notes. I sketched out a map of each park, listed and counted the type of furniture and general amenities and infrastructural qualities. I then spent about 30-40 minutes in each place watching people, recording their behavior and walking patterns—searching for things to notice and focus on in the space. After I accumulated that data, I went into a coffee shop and mapped out a more legitimate observational sheet that could allow for efficiency recording ease.


	
&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/f6956d2c5ff932cf321c5b86fd1d60ac6ddebbacbd41ea543b430b972561b558/Moore-s-Square_1.jpg" data-mid="79913599" border="0" alt="Observation sheet" data-caption="Observation sheet" src="https://freight.cargo.site/w/1000/i/f6956d2c5ff932cf321c5b86fd1d60ac6ddebbacbd41ea543b430b972561b558/Moore-s-Square_1.jpg" /&#62;

&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/f5cf01df3bc6e349d4c28706ae7c5c4ecb290bdf397a2ad663cdbefa426229c0/moore_png.png" data-mid="79912858" border="0" alt="Movement sketches" data-caption="Movement sketches" src="https://freight.cargo.site/w/1000/i/f5cf01df3bc6e349d4c28706ae7c5c4ecb290bdf397a2ad663cdbefa426229c0/moore_png.png" /&#62;

	Detailed Observations
Once I had the sheets sketched out in my notebook, I went to Nash Square first, and observed for 30 minutes from 2:30 pm - 3:00 pm. I then walked to Moore Square and observed from 3:08 pm - 3:38 pm. I returned to each square later that evening and observed Moore from 6:30-7:00 pm and Nash from 7:10 - 7:40 pm. I spent a total of three and a half hours in the parks—the first hour and a half I made initial observations and refined my observation sheet; the last two hours I spent documenting observations.The following day I compiled and typed my data up in google sheets. I made four sheets: Moore Observation #1, Moore Observation #2, Nash Observation # 1, and Nash Observation #2. I redrew my maps so they were eligible and then I did some math.
FindingsI categorized my findings according to the three focus areas and divided them into day/night and Moore/Nash.
Who uses the parkHow they use the parkGeneral traffic flowsIn addition to these markings, I have detailed descriptions of each square’s environment as well as visual infrastructure: their design, layout, tree coverage, number and types of furniture, public services, and other amenities.
I analyzed each square separately as its own entity, compared each square with each other, and viewed them together cumulatively. In addition gathering quantitative data such as person counts and visual routes, I also had some qualitative data on the sheets such as sounds, smells, and conversations I overheard.

Environmental Conditions
During the day observations, it was 53 degrees, breezy, and partly cloudy. During the night it was 42 degrees, breezy and dark.



	
&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/50183b1589dd747adc77184ea0cb2b9c24127265ca04ea7608ddf9d41d33d0ae/Moore_Square_Study_Synopsis_4.jpg" data-mid="79912854" border="0" alt="Observation sheet" data-caption="Observation sheet" src="https://freight.cargo.site/w/1000/i/50183b1589dd747adc77184ea0cb2b9c24127265ca04ea7608ddf9d41d33d0ae/Moore_Square_Study_Synopsis_4.jpg" /&#62;

	Amenities + DescriptionsOut of the 115 visitors total that day, 69% visited Moore Square and 31% visited Nash Square. Out of the 80 park visitors during the day, 65% visited Moore Square and 35% visited Nash Square. Out of the 35 park visitors at night, 77% visited Moore Square and 23% visited Nash Square. More men than women frequented Moore and Nash Square that day by almost twice as much. Children only visited the parks during the day.
Moore Square reveals a 34% decline in visitors at night than during the day: 23% decrease in men, 14% decrease in women, and 100% decrease in children. There are more men than women during the day and night and no children visitors at night. Nash Square shows a similar decline in park visitors with a 55% decrease from day to night: 37% less men, 73% less women, and 100% less children. There are an equal number of men and women during the day and more men visitors at night with no children at night.Given the number of amenities Moore Square has over Nash, it is not surprising that more people frequented that Moore square. Moore has more options: tables, wifi, moving chairs and tables, more sitting space, bathrooms, and a restaurant. A visitor can comfortably spend more time in Moore Square. Nash Square is designed for shorter periods of use as it does not have amenities such as bathrooms, eateries, or wifi. During that day, it was particularly cold, so the exposed lawn was most likely appealing to visitors of Moore Square over Nash, which is covered in large Oak and Magnolia trees which create shade. The play toys, playground, exposed grassy mounds, and location near Marbles Kids Museum set Moore Square up to be a child-friendly park. I observed 11 total children, each unaccompanied by an adult. Some were elementary school age and some were middle school. The children were playing on the toys for the extent of my observation period (30 minutes), making it seem like they were using the square for idle time and recreation.I find it interesting that there were more men than women in each of the squares. Both squares are located downtown among businesses, and it appeared that many of the walkers were passing through the squares on a break, to get food, or to walk to their car. Though I did not include this in my documentation, I noticed more couples at night in Moore Square and more single individuals during the day. I also did not include a detailed demographic breakdown of skin color, but marked a much smaller percentage of people of color in both parks

	
&#60;img width="2550" height="2302" width_o="2550" height_o="2302" data-src="https://freight.cargo.site/t/original/i/4c040d383372dc201605df57cbc154dca4f13de6ce2339f9001c7901eabec515/Moore_Square_Study_Synopsis_7.jpg" data-mid="79912857" border="0"  src="https://freight.cargo.site/w/1000/i/4c040d383372dc201605df57cbc154dca4f13de6ce2339f9001c7901eabec515/Moore_Square_Study_Synopsis_7.jpg" /&#62;

&#60;img width="2549" height="2640" width_o="2549" height_o="2640" data-src="https://freight.cargo.site/t/original/i/06a1482e1933efcc332a6d24a956c79227590158dbf7e4820347ed423cb40ef6/Moore_Square_Study_Synopsis_6.jpg" data-mid="79912856" border="0" alt="Observation sheet" data-caption="Observation sheet" src="https://freight.cargo.site/w/1000/i/06a1482e1933efcc332a6d24a956c79227590158dbf7e4820347ed423cb40ef6/Moore_Square_Study_Synopsis_6.jpg" /&#62;

	Activities FindingsI recorded 89 total activities for both day and night, 56 of which were in Moore Square and 33 in Nash Square. The majority of activities in both squares were in the walking category as there were a total of 40 walkers during the day and 26 walkers at night. Sitting activities decreased from 15 during the day to 3 at night, and sports went from 5 to 0.
In terms of walking, I observed slower walking such as meandering and ambling during the day and faster walking at night. Nash Square in particular had 10 people meandering. Moore Square had a wider variety of walking styles with a relatively equal amount of fast, medium, slow, amblers, and walkers with pets. At night, most of the walking was strictly fast and medium pace with no ambling or meandering.During the day, there were more sitters in Moore Square than Nash with 10 on benches in comparison to Nash’s 3 people. This is most likely due to the amount of available sitting space in Moore Square, which has a built in bench that loops around the pathways, providing a lot of sitting room for visitors. Nash Square has individual stand alone benches which can seat two to three people. Because of its lack of tree’s, Moore Square has a lot of sunlight, making it a warmer location for prolonged sitting in comparison to Nash’s tree covered landscape which would have been ideal on that day when the high was 53 degrees. One person I observed was laying out on the grass with her laptop out. I imagine on a warmer day I would have seen more people doing work in Moore.
I was able to record more people at Nash Square over Moore Square for a few reasons: Nash has fewer things to do, so it was easier to visually track. Visitors can either walk the pathways, sit on the bench or tufts of grass, or pause in the central area with the statue. At Moores Square there is a restaurant and bathrooms, and a playground that was hidden from my frame of reference. The central part of the square are two open grassy mounds which provides a good visual distance, but due to its asymmetrical nature, a lot of sitting and playing infrastructure is built into the corners of the square, making visitor activity less visible.During the night and day in Nash Square, the heaviest foot traffic is along the diagonal that connects the corner of Dawson and Hargett to the corner of Martin and McDowell. There is some meandering and cutting across the grass but most people stay on the path. In Moore Square, there is a little more variety in footpaths, but similar to Nash Square, the map shows a predominant path which extends along the diagonal that connects Hargett to Person Street and Martin to Blount Street. Both of these paths show the function of a square to cut time for walkers as well as a more recreational use of meandering and running.

	
&#60;img width="1520" height="1140" width_o="1520" height_o="1140" data-src="https://freight.cargo.site/t/original/i/0490a5d1775ac747fa9f9542d643231083d6575c8ecac4d140562ac55159f967/map_Nash_moore.jpg" data-mid="79913729" border="0" alt="Final map and key" data-caption="Final map and key" src="https://freight.cargo.site/w/1000/i/0490a5d1775ac747fa9f9542d643231083d6575c8ecac4d140562ac55159f967/map_Nash_moore.jpg" /&#62;

	Main TakeawaysThough my observation was short and arguably not on the best day due to cold weather, I think it represents a snapshot of how the two squares are used downtown. Moore Square offers a lot more amenities and built infrastructure to allow for prolonged sitting, hanging out, working, eating, drinking, and playing. It is on the same block as Marbles Kids Museum which could attract children to the square as well as a music venue, and two well known restaurants bida Manda and Brewery Bhavana. I imagine when these restaurants fill up during the summer and go on a wait, visitors could frequent the square to get a drink, lounge, and pass the time by outside. There are many areas to be in Moore Square, each to serve a different function and purpose. There are also a lot of different seating areas: tables near the burger restaurant, movable tables and chairs alongside the park, and two large communal tables with 36 chairs total.The appeal of Nash Square is in its large Oak and Magnolia trees, meandering narrow pathways, and tufts of grass. The central part of the square is a statute (unlike Moore Square, which does not have a central part). Nash Square is close to restaurants as well which could contribute to its visitors. Though Nash Square is well let at night, the trees could make a walker feel somewhat unsafe in which they might choose to walk around the park. Moore Square has wider pathways without trees so a walker could feel more visible and safe. One of the major differences I noticed with the two squares are the types of seating options and the inclusion or absence of wifi, eateries, and public bathrooms. Moore Square has public wifi titled “Raleigh Park Wifi” whereas Nash Square does not. That alone would draw more visitors to Moore over Nash. Both squares function as sitting and meeting grounds as well as walkable block cut throughs.
What I would have done differentlyI recognize that the weather was a large factor in influencing the observational findings. If I had come a day prior where it was 70 degrees I am sure there would have been much more activity to record. In terms of who I tracked, I would have fleshed out my demographic section a little more and tracked skin color and age more astutely. I also would have tracked the amount of people walking around the perimeter of each square to have a comparison between those who walk around and those who enter the parks.
Given the large area I had to observe, I would have enlisted a helper (a person or technological aid) to cover more ground. It was impossible for me to truly see all activity or track all visitors alone making this data highly subjective and qualitative. I also would visit each park twice, the same day, same time, but different weeks to create a more stable time variable. Though I tried to view them back to back, I realize they were not viewed at the same time, so the comparison is slightly off. I also recognize that my initial interest in observing the squares resulted in an interest in Moore new design, so I went into the study with my own bias.

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		<title>SA:V</title>
				
		<link>https://katiefrohbosedesign.com/SA-V</link>

		<pubDate>Wed, 12 Aug 2020 15:45:41 +0000</pubDate>

		<dc:creator>katie.thesis</dc:creator>

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Application Design
	&#60;img width="2000" height="1500" width_o="2000" height_o="1500" data-src="https://freight.cargo.site/t/original/i/2d883719952bb2bf936af327f34210abccc2a845377fa83a5c490d1ede6df517/SA_V_in_ipad_7.gif" data-mid="79837148" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/2d883719952bb2bf936af327f34210abccc2a845377fa83a5c490d1ede6df517/SA_V_in_ipad_7.gif" /&#62;
	Fall 2018
Surface Area to Volume Ratio&#38;nbsp;
For this project, I prototyped a minimally interactive instructional resource on Surface-area-to-volume ratio for advanced high school students. I visualized SA:V through a basic shape (the cube) and with an object from real life (the cathedral). Through this colorful, interactive comparison, the student will be able to contextualize math with real life, making the concept easier to digest. The sequence of images are imagined within the context of an iPad, beginning with the home page and scrolling through the SA:V lesson.


	Research


&#60;img width="1066" height="582" width_o="1066" height_o="582" data-src="https://freight.cargo.site/t/original/i/1230756f71527ee482b8d5b4c0c0201984e60bacc595ca8db7c0b211a89636f5/Screen-Shot-2017-11-05-at-3.07.28-PM.png" data-mid="80697186" border="0"  src="https://freight.cargo.site/w/1000/i/1230756f71527ee482b8d5b4c0c0201984e60bacc595ca8db7c0b211a89636f5/Screen-Shot-2017-11-05-at-3.07.28-PM.png" /&#62;
&#60;img width="574" height="806" width_o="574" height_o="806" data-src="https://freight.cargo.site/t/original/i/894b4a66659520b9f1b96d5cfc035f8a0c4a9efdbacf252b96a3a2608a8485ea/Screen-Shot-2017-11-05-at-4.15.03-PM.png" data-mid="80697327" border="0"  src="https://freight.cargo.site/w/574/i/894b4a66659520b9f1b96d5cfc035f8a0c4a9efdbacf252b96a3a2608a8485ea/Screen-Shot-2017-11-05-at-4.15.03-PM.png" /&#62;
&#60;img width="1018" height="752" width_o="1018" height_o="752" data-src="https://freight.cargo.site/t/original/i/5b810adb98fdafeb1325306d73932e361b9d86a6462f43a821cf8b2edbac3ed7/Screen-Shot-2017-11-05-at-4.16.30-PM.png" data-mid="80697328" border="0"  src="https://freight.cargo.site/w/1000/i/5b810adb98fdafeb1325306d73932e361b9d86a6462f43a821cf8b2edbac3ed7/Screen-Shot-2017-11-05-at-4.16.30-PM.png" /&#62;
&#60;img width="1072" height="740" width_o="1072" height_o="740" data-src="https://freight.cargo.site/t/original/i/7804e19b8e1405e00c76da5b86558cc521d15371a21ddf9091fbdfbd3caeb014/Screen-Shot-2017-11-05-at-2.34.25-PM.png" data-mid="80697198" border="0"  src="https://freight.cargo.site/w/1000/i/7804e19b8e1405e00c76da5b86558cc521d15371a21ddf9091fbdfbd3caeb014/Screen-Shot-2017-11-05-at-2.34.25-PM.png" /&#62;
&#60;img width="834" height="782" width_o="834" height_o="782" data-src="https://freight.cargo.site/t/original/i/d167b5529633f2bf74570de019ae0dff84e4f709e0dfa56048fc921e52415258/Screen-Shot-2017-11-05-at-3.22.29-PM.png" data-mid="80697325" border="0"  src="https://freight.cargo.site/w/834/i/d167b5529633f2bf74570de019ae0dff84e4f709e0dfa56048fc921e52415258/Screen-Shot-2017-11-05-at-3.22.29-PM.png" /&#62;
&#60;img width="334" height="676" width_o="334" height_o="676" data-src="https://freight.cargo.site/t/original/i/91f88c86f7f82504d26f53a69577e2b85368fe704ffb7714e943ea3e84f3ce49/Screen-Shot-2017-11-05-at-4.31.36-PM.png" data-mid="80697329" border="0"  src="https://freight.cargo.site/w/334/i/91f88c86f7f82504d26f53a69577e2b85368fe704ffb7714e943ea3e84f3ce49/Screen-Shot-2017-11-05-at-4.31.36-PM.png" /&#62;
&#60;img width="898" height="818" width_o="898" height_o="818" data-src="https://freight.cargo.site/t/original/i/bfe2eb081ec0ddf9813ba801038913177ce3a920aa01def07b932ea27aac61f6/Screen-Shot-2017-11-05-at-3.16.09-PM.png" data-mid="80697324" border="0"  src="https://freight.cargo.site/w/898/i/bfe2eb081ec0ddf9813ba801038913177ce3a920aa01def07b932ea27aac61f6/Screen-Shot-2017-11-05-at-3.16.09-PM.png" /&#62;
&#60;img width="834" height="782" width_o="834" height_o="782" data-src="https://freight.cargo.site/t/original/i/d167b5529633f2bf74570de019ae0dff84e4f709e0dfa56048fc921e52415258/Screen-Shot-2017-11-05-at-3.22.29-PM.png" data-mid="80697325" border="0"  src="https://freight.cargo.site/w/834/i/d167b5529633f2bf74570de019ae0dff84e4f709e0dfa56048fc921e52415258/Screen-Shot-2017-11-05-at-3.22.29-PM.png" /&#62;
&#60;img width="409" height="429" width_o="409" height_o="429" data-src="https://freight.cargo.site/t/original/i/5305ddc1408eb195e3db0ea635c3533e07186f683db682c2dc95c1e637e37269/Screen-Shot-2017-11-05-at-4.43.44-PM.png" data-mid="80697330" border="0"  src="https://freight.cargo.site/w/409/i/5305ddc1408eb195e3db0ea635c3533e07186f683db682c2dc95c1e637e37269/Screen-Shot-2017-11-05-at-4.43.44-PM.png" /&#62;
&#60;img width="798" height="812" width_o="798" height_o="812" data-src="https://freight.cargo.site/t/original/i/32e51380298865e5d222b45ee4debaf26c8cb05f6f70900fb4a530782dd2e657/Screen-Shot-2017-11-05-at-3.22.12-PM.png" data-mid="80697191" border="0"  src="https://freight.cargo.site/w/798/i/32e51380298865e5d222b45ee4debaf26c8cb05f6f70900fb4a530782dd2e657/Screen-Shot-2017-11-05-at-3.22.12-PM.png" /&#62;


	
Response


&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/3afce9e1cccaa18a68c631b5ed52d761b27a772ffccccb10b9464c7b0350c56f/Katie_FinalWork_Page_22.jpg" data-mid="80697611" border="0"  src="https://freight.cargo.site/w/1000/i/3afce9e1cccaa18a68c631b5ed52d761b27a772ffccccb10b9464c7b0350c56f/Katie_FinalWork_Page_22.jpg" /&#62;
&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/63f761599e4dee14f1ff77a53944e40f1792c221195e5b746a8d86d8ffe6d1be/Katie_FinalWork_Page_23.jpg" data-mid="80697612" border="0"  src="https://freight.cargo.site/w/1000/i/63f761599e4dee14f1ff77a53944e40f1792c221195e5b746a8d86d8ffe6d1be/Katie_FinalWork_Page_23.jpg" /&#62;
&#60;img width="1024" height="768" width_o="1024" height_o="768" data-src="https://freight.cargo.site/t/original/i/e3fc7c91eb81f25694e3f1ab214cce805fb928e0b7a1f8085ac04cbf2846864f/Katie_FinalWork_Page_24.jpg" data-mid="80697613" border="0"  src="https://freight.cargo.site/w/1000/i/e3fc7c91eb81f25694e3f1ab214cce805fb928e0b7a1f8085ac04cbf2846864f/Katie_FinalWork_Page_24.jpg" /&#62;
&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/ce6e3ce7bff8b2458897284346cb8387a8498fc4a6c715d2e29b60b8d1e888e2/Katie_FinalWork_Page_26.jpg" data-mid="80697616" border="0"  src="https://freight.cargo.site/w/1000/i/ce6e3ce7bff8b2458897284346cb8387a8498fc4a6c715d2e29b60b8d1e888e2/Katie_FinalWork_Page_26.jpg" /&#62;
&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/afc3406d026f775cccb9daa62810602eadb152f44a2ea656a2471a4b5aebb58f/Katie_FinalWork_Page_25.jpg" data-mid="80697615" border="0"  src="https://freight.cargo.site/w/1000/i/afc3406d026f775cccb9daa62810602eadb152f44a2ea656a2471a4b5aebb58f/Katie_FinalWork_Page_25.jpg" /&#62;
&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/b5f08c5695db203a4c12bb5bf80397dfdeb7e5806b17995f8388124f8a29f5d0/Katie_FinalWork_Page_27.jpg" data-mid="80697614" border="0"  src="https://freight.cargo.site/w/1000/i/b5f08c5695db203a4c12bb5bf80397dfdeb7e5806b17995f8388124f8a29f5d0/Katie_FinalWork_Page_27.jpg" /&#62;
&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/a78bf79eeb37ab1b7e0517e329bcd660f0242ef4ada2dd587c0cef064fb8e1d3/Katie_FinalWork_Page_29.jpg" data-mid="80697618" border="0"  src="https://freight.cargo.site/w/1000/i/a78bf79eeb37ab1b7e0517e329bcd660f0242ef4ada2dd587c0cef064fb8e1d3/Katie_FinalWork_Page_29.jpg" /&#62;
&#60;img width="2845" height="2134" width_o="2845" height_o="2134" data-src="https://freight.cargo.site/t/original/i/692e56f467c9b8273c1f730283595b05a7d45310ac565e8edeabb30759e1cae4/Katie_FinalWork_Page_28.jpg" data-mid="80697617" border="0"  src="https://freight.cargo.site/w/1000/i/692e56f467c9b8273c1f730283595b05a7d45310ac565e8edeabb30759e1cae4/Katie_FinalWork_Page_28.jpg" /&#62;






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