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Personal Tracking as
Lived Informatics
John Rooksby, Mattias Rost, Alistair Morrison, Matthew Chalmers
University of Glasgow
Personal Tracking
• Physical Devices
• Fitbit, Nike Fuelband, Jawbone Up, pedometers
• Mobile phone apps
• Runkeeper, MyFitnessPal
Quantified Self & Personal
Informatics
• Quantified Self - Optimization
• PI: Finance, communication,
photography, travel, etc
• Li et al:
• Preparation, collection, integration,
reflection, action
• “choose what they are going to do with
the newfound understanding of
themselves”
Activity Tracking Research
• Research focused on researcher-supplied
technology – not on technology people use
• Do people change behaviour because they use
technology, or do they use technology because they
want to change?
Method
• 22 Unstructured Interviews +
follow-up interviews
• 10-90 minutes
Participants
• 12M, 10F, 20s (11), 30s (8), 40s (3)
• UK, America, Europe, China, India
• Students, Admins, Finance, Nurse, Unemployed
• Able bodied, 7 runners, 2 training for marathons, 1
cross-country race, serious cyclist, 6 regular sports
players, 8 no exercise but walking, 7 obese, 1 weight-
loss surgery
• Most concerned about weight, all but two on a diet
Activities
• Walking
• Physical exercise (running, cycling, swimming)
• Food and Drink
• Weight and size
• Sleep
• Nothing “pretty watch”
What to track with what
• Selective Tracking
• Switching between Trackers
Styles of tracking
• Directive Tracking
• Documentary Tracking
• Diagnostic Tracking
• Collecting Rewards
• Fetished Tracking
Interweaving Trackers
• More than one tracker at once, including crossover
functionality
• Often one tracker per activity
• Not to rationally organize their data
Using Data
• Some care about accuracy, others don’t mind
• Some shake their pedometers, some would not
Temporality of Data
• Mainly short term. (Should I go for a run?)
• Compare to previous measurement
• Some accrue long-term data, but rarely look at it
Social Tracking
• All said they did not share to social networks (but
did among friends)
• Used as a co-present activity
• Symbol of shared outlook (concerned colleagues)
Lived Informatics
• Tracking is an emotional endeavour (c.f. Li et al.)
• Tracking is about where you are heading in life –
not where you have been
• Not doing data analysis about their bodies – but
doing something deeply emotional and often
passionately focused on a future
Thanks
• http://www.softwarepopulations.com/
• @johnrooksby, @rrostt, @MorrisonAJ
• http://rost.me
Personal Tracking as Lived Informatics
John Rooksby, Mattias Rost, Alistair Morrison, Matthew Chalmers
Design implications?
• People are not rational data scientists -> look at app
use
• Social Tracking -> consider co-presence rather than
social media sharing
• Support interweaving besides integration
• Evaluate more than improvements in activity ->
consider emotionality, hope, and fun
• Attend to the physicality

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Lived informatics

  • 1. Personal Tracking as Lived Informatics John Rooksby, Mattias Rost, Alistair Morrison, Matthew Chalmers University of Glasgow
  • 2. Personal Tracking • Physical Devices • Fitbit, Nike Fuelband, Jawbone Up, pedometers • Mobile phone apps • Runkeeper, MyFitnessPal
  • 3. Quantified Self & Personal Informatics • Quantified Self - Optimization • PI: Finance, communication, photography, travel, etc • Li et al: • Preparation, collection, integration, reflection, action • “choose what they are going to do with the newfound understanding of themselves”
  • 4. Activity Tracking Research • Research focused on researcher-supplied technology – not on technology people use • Do people change behaviour because they use technology, or do they use technology because they want to change?
  • 5. Method • 22 Unstructured Interviews + follow-up interviews • 10-90 minutes
  • 6. Participants • 12M, 10F, 20s (11), 30s (8), 40s (3) • UK, America, Europe, China, India • Students, Admins, Finance, Nurse, Unemployed • Able bodied, 7 runners, 2 training for marathons, 1 cross-country race, serious cyclist, 6 regular sports players, 8 no exercise but walking, 7 obese, 1 weight- loss surgery • Most concerned about weight, all but two on a diet
  • 7.
  • 8. Activities • Walking • Physical exercise (running, cycling, swimming) • Food and Drink • Weight and size • Sleep • Nothing “pretty watch”
  • 9. What to track with what • Selective Tracking • Switching between Trackers
  • 10. Styles of tracking • Directive Tracking • Documentary Tracking • Diagnostic Tracking • Collecting Rewards • Fetished Tracking
  • 11. Interweaving Trackers • More than one tracker at once, including crossover functionality • Often one tracker per activity • Not to rationally organize their data
  • 12. Using Data • Some care about accuracy, others don’t mind • Some shake their pedometers, some would not
  • 13. Temporality of Data • Mainly short term. (Should I go for a run?) • Compare to previous measurement • Some accrue long-term data, but rarely look at it
  • 14. Social Tracking • All said they did not share to social networks (but did among friends) • Used as a co-present activity • Symbol of shared outlook (concerned colleagues)
  • 15. Lived Informatics • Tracking is an emotional endeavour (c.f. Li et al.) • Tracking is about where you are heading in life – not where you have been • Not doing data analysis about their bodies – but doing something deeply emotional and often passionately focused on a future
  • 16. Thanks • http://www.softwarepopulations.com/ • @johnrooksby, @rrostt, @MorrisonAJ • http://rost.me Personal Tracking as Lived Informatics John Rooksby, Mattias Rost, Alistair Morrison, Matthew Chalmers
  • 17.
  • 18. Design implications? • People are not rational data scientists -> look at app use • Social Tracking -> consider co-presence rather than social media sharing • Support interweaving besides integration • Evaluate more than improvements in activity -> consider emotionality, hope, and fun • Attend to the physicality