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Everyday Personal Informatics Daniel A. Epstein 1 Technology with tracking capability is increasingly ubiquitous 2 Technology with tracking capability is increasingly ubiquitous 16% of the US 31% worldwide Kantar WorldPanel, 2017


  1. Everyday Personal Informatics Daniel A. Epstein � 1

  2. Technology with tracking capability is increasingly ubiquitous � 2

  3. Technology with tracking capability is increasingly ubiquitous 16% of the US 31% worldwide Kantar WorldPanel, 2017 Pew Research Center Global Attitudes & Trends, 2016 � 3

  4. � 4

  5. � 5

  6. � 6

  7. 30% abandon after three months 97% abandon after one week Gartner Market Research, 2016 Helander, Kaipainen, Korhonen, Wansink. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring with Photography and Peer Feedback: Retrospective Cohort Study. J Med Internet Res, 2014 � 7

  8. People have a lot of frustrations with tracking tools � 8

  9. One frustration: People do not receive 
 enough support 
 from others online � 9

  10. Advice Support Celebration � 10

  11. � 11

  12. This kind of support isn’t common � 12

  13. “ So I was kind of bummed. I was disappointed in my friends… it’d be really awesome if you could, you know, support me or help me [be more active] when I post things. Nobody cared. ” This is common Lin, Mamykina, Lindtner, Delajoux, Strub. Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game. UbiComp 2006 Munson, Consolvo. Exploring Goal-Setting, Rewards, Self-Monitoring, and Sharing to Motivate Physical Activity. PervasiveHealth 2012 Liu, Dabbish, Kaufman. Supporting Social Interactions with Expressive Heart Rate Sharing Application. IMWUT 1, 3, 2017 � 13

  14. How can designs help people receive the feedback they want when sharing tracked data? � 14

  15. 47 papers from CHI, read and inductively CSCW, UbiComp, etc. coded 5,000 tweets with #RunKeeper Epstein , Jacobson, Bales, McDonald, Munson. From “nobody cares” to “way to go!”: A Design Framework for Social Sharing in Personal Informatics. CSCW 2015 � 15

  16. Most content was entirely system-generated 74% of tweets 65% of papers � 16

  17. Reactions align with post content Entirely system- generated tweets received fewer replies , (Z=-4.63, p<0.001, 95% CI 1.94-5.12) fewer favorites (Z=-5.25, p<0.001, 95% CI 0.51-1.11) � 17

  18. Explained importance Photos from the activity � 18

  19. “ First training run for my 10K! ” “ First run back …… from injury! ” “ ” Explained Photos importance � 19

  20. 97 participants Saw 5 tweets each � 20

  21. “I found this post interesting” When the post explained the importance of a run. F 1,366 =5.86, p<0.05 When the post included a picture. F 1,361 =8.25, p<0.01 “I would respond to this post” When the post explained the importance of a run. F 1,381 =20.18, p<0.0001 � 21

  22. The posting process promotes 
 system-generated content Runkeeper � 22

  23. � 23

  24. Posting � 24

  25. Posting Authoring � 25

  26. Yarn: a structured authoring experience � 26

  27. Yarn Runkeeper Prompts which promote describing importance Prominently suggest including photos � 27

  28. Advice Support Celebration � 28

  29. Visual templates to reflect sharing goal For advice For support To celebrate A question A hard time My journey � 29

  30. Yarn scaffolded more explanation, 
 more interesting visuals “ the prompts were good... having those fields where you could put what you were working on and what things you were actually encountering... it just focused me and allowed me to write a lot . ” (p2, diy) “ Yarn kind of motivated me to do different trails, since I’m taking photos and stuff it made me want to venture out to different areas . ” (p10, running) � 30

  31. Designs do not help people create the type of content 
 others want to respond to A structured process for authoring interesting content � 31

  32. Everyday Personal Informatics Daniel A. Epstein � 32

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