표민기
Understanding
My Data, Myself
Supporting Self-Reflection
with Ubicomp Technologies
Mingi Pyo
2011.12.08.UX Lab.
Ian Li, An...
Keyword
Personal Informatics Tools
Self-Reflection
fitbit
Pedometer
Dana
Female
Where she is active
or not
Issues
Know how to collect a lot of information
vs. Answer how to reflect on information
Number of steps Web history
Sleep...
Purpose
1. What kinds of questions do people ask about their data?
2. When do people ask these questions?
Ultimately,
to d...
Findings
1. What kinds of questions do people ask about their data?
2. When do people ask these questions?
6 Kinds of Ques...
Recruitment & Participants
Advertised on:
Craiglist, Study Recruitment site, Quantified Self Blog http://quantifiedself.co...
Types of data collected
Financial expenditures (3 participants)
Sleep (3)
Weight (2)
Blood glucose level (2)
Exercise (1)
...
Procedure
1-hour interviews in the lab or on Skype
Observed using their personal information tools
Asked how they reflecte...
Finding 1.
6 Kind of Questions
Status History
Goals Discrepancy
Context Factors
Finding 1-1
Status
What is my current status?
P7 looked at her fitbit pedometer several
times a day to check her physical ...
Finding 1-2
History
What happened in the past?
P5 looked at her spending history to check if
she was reducing her expendit...
Finding 1-3
Goal
What goals should I purse?
P9 tracked what she ate and her physical
activity level to find the cause of h...
Finding 1-4
Discrepancy
How does my behavior compare to my goals?
P11 compared her current food consumption
with the goal ...
Finding 1-5
Context
What other things happened during a particular point in time?
P3 who has diabetes measured her blood
s...
Finding 1-6
Factors
What influences my behavior over a long period of time?
P2 tracked many types of data over time to
con...
Finding 2.
2 Phases
Maintenance
Phase
Discovery
Phase
Finding 2-1
Maintenance Phase
1. Already know how different factors affect their behavior,
Just want to know what their cu...
Finding 2-1
Maintenance Phase
Most important kinds of questions
Status History
Goals Discrepancy
Context Factors
Finding 2-1
Maintenance Phase
Most important kinds of questions
Status History
Goals Discrepancy
Context Factors
Collectin...
Finding 2-2
Discovery Phase
1. Try to figure out What their goals are
2. Collect several types of data,
find out what fact...
Finding 2-2
Discovery Phase
Most important kinds of questions
Status History
Goals Discrepancy
Context Factors
Finding 2-2
Maintenance Phase
Most important kinds of questions
Status History
Goals Discrepancy
Context Factors
Help user...
Finding 2-3
Transitions between 2 Phases
Maintenance
Phase
Discovery
Phase
Finding 2-3
Maintenance -> Discovery
P7 who has recurrent insomnia
tracks her sleep using fitbit
Maintenance
When insomnia...
Finding 2-3
Discovery -> Maintenance
P6 initially tracked his blood sugar level,
food consumption, and mood
Discovery
Even...
Finding 2-3
Transition problems
P9 tracked multiple data to
figure out what causes her
leg cramps when sleeps
Discovery
Bu...
Lesson Learned
1. Supporting the maintenance phase
Alert the user when they are not
meeting their goal
Assist the user whe...
Lesson Learned
2. Supporting the discovery phase
Collect data anytime, anywhere, and often
Support different kinds of coll...
Lesson Learned
3. Supporting transition between phases
Identify which phase the user is in
Help users transition from Disc...
Understanding
My Data, Myself
What is my big picture?
What is my final goal?
Who am I?...
End of document
Appendix
Multiple types of data gathering
For example, P7, who collected the widest
variety of data, used Daytum and your....
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(발제) Understanding My Data, Myself Supporting Self-Reflection with Ubicomp Technologies +Proceeding of 13th international conference on Ubiquitous computing 2011 -Ian Li /표민기 x2011 winter

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(발제) Understanding My Data, Myself Supporting Self-Reflection with Ubicomp Technologies +Proceeding of 13th international conference on Ubiquitous computing 2011 -Ian Li /표민기 x2011 winter

  1. 1. 표민기
  2. 2. Understanding My Data, Myself Supporting Self-Reflection with Ubicomp Technologies Mingi Pyo 2011.12.08.UX Lab. Ian Li, Anind Dey, Jodi Forlizzi Carnegie Mellon Univ. Proceeding of 13th international conference on Ubiquitous computing (2011.09.17-21)
  3. 3. Keyword Personal Informatics Tools Self-Reflection fitbit Pedometer Dana Female Where she is active or not
  4. 4. Issues Know how to collect a lot of information vs. Answer how to reflect on information Number of steps Web history Sleep Quality Food consumption Blood level Expenditures Location Weight Electricity Usage Driving habits
  5. 5. Purpose 1. What kinds of questions do people ask about their data? 2. When do people ask these questions? Ultimately, to design personal information tools that effectively assist self-reflection
  6. 6. Findings 1. What kinds of questions do people ask about their data? 2. When do people ask these questions? 6 Kinds of Questions 2 Phases, and transition between phases
  7. 7. Recruitment & Participants Advertised on: Craiglist, Study Recruitment site, Quantified Self Blog http://quantifiedself.com 15 Participants (P1 - P15) 91 people expressed interest Participants who :currently using a personal information tools :used tool for more than a month
  8. 8. Types of data collected Financial expenditures (3 participants) Sleep (3) Weight (2) Blood glucose level (2) Exercise (1) Productivity (1), web history (1) Books read (1), general life events (1)
  9. 9. Procedure 1-hour interviews in the lab or on Skype Observed using their personal information tools Asked how they reflected on their data : what were they looking for? : what questions did they ask? : how did they answer their questions? : what problems did they encounter?
  10. 10. Finding 1. 6 Kind of Questions Status History Goals Discrepancy Context Factors
  11. 11. Finding 1-1 Status What is my current status? P7 looked at her fitbit pedometer several times a day to check her physical activity level
  12. 12. Finding 1-2 History What happened in the past? P5 looked at her spending history to check if she was reducing her expenditures
  13. 13. Finding 1-3 Goal What goals should I purse? P9 tracked what she ate and her physical activity level to find the cause of her leg cramps, so she can avoid certain foods or not do certain exercises
  14. 14. Finding 1-4 Discrepancy How does my behavior compare to my goals? P11 compared her current food consumption with the goal she had set for herself
  15. 15. Finding 1-5 Context What other things happened during a particular point in time? P3 who has diabetes measured her blood sugar level, and kept in mind the food she ate and her physical activity
  16. 16. Finding 1-6 Factors What influences my behavior over a long period of time? P2 tracked many types of data over time to control her weight: exercise,what she ate and total calories
  17. 17. Finding 2. 2 Phases Maintenance Phase Discovery Phase
  18. 18. Finding 2-1 Maintenance Phase 1. Already know how different factors affect their behavior, Just want to know what their current status is 2. Already identify their goals, Only concerned with whether to meet the goal
  19. 19. Finding 2-1 Maintenance Phase Most important kinds of questions Status History Goals Discrepancy Context Factors
  20. 20. Finding 2-1 Maintenance Phase Most important kinds of questions Status History Goals Discrepancy Context Factors Collecting data is easier because fewer types of data are collected Tools could provide Alerts and Suggestions
  21. 21. Finding 2-2 Discovery Phase 1. Try to figure out What their goals are 2. Collect several types of data, find out what factors affect their behavior
  22. 22. Finding 2-2 Discovery Phase Most important kinds of questions Status History Goals Discrepancy Context Factors
  23. 23. Finding 2-2 Maintenance Phase Most important kinds of questions Status History Goals Discrepancy Context Factors Help users collect data over a long period of time Help users select the goals that they should pursue
  24. 24. Finding 2-3 Transitions between 2 Phases Maintenance Phase Discovery Phase
  25. 25. Finding 2-3 Maintenance -> Discovery P7 who has recurrent insomnia tracks her sleep using fitbit Maintenance When insomnia returns, she records the factors that may be causing the problem Discovery
  26. 26. Finding 2-3 Discovery -> Maintenance P6 initially tracked his blood sugar level, food consumption, and mood Discovery Eventually, he transitioned into just collecting his blood sugar level because he felt like he had control of his diabetes Maintenance
  27. 27. Finding 2-3 Transition problems P9 tracked multiple data to figure out what causes her leg cramps when sleeps Discovery But she still doesn’t know the causes, so she continue to collect data about her sleep and possible causes ?
  28. 28. Lesson Learned 1. Supporting the maintenance phase Alert the user when they are not meeting their goal Assist the user when they don't meet their goal
  29. 29. Lesson Learned 2. Supporting the discovery phase Collect data anytime, anywhere, and often Support different kinds of collection tool Data should be presented together Reduce the upfront cost of data collection
  30. 30. Lesson Learned 3. Supporting transition between phases Identify which phase the user is in Help users transition from Discovery to Maintenance quickly Continuous data collection throughout the phase
  31. 31. Understanding My Data, Myself What is my big picture? What is my final goal? Who am I?... End of document
  32. 32. Appendix Multiple types of data gathering For example, P7, who collected the widest variety of data, used Daytum and your.flowingdata to track television shows and movies that she watched, restaurants she dined at, and places she visited. She recorded her eating habits with DailyBurn. Because of periods of insomnia, she used Fitbit to record her sleep patterns and physical activity levels. She also complemented her sleep tracking by taking notes about the quality of her sleep in YawnLog.

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