Impact of data review q selfsilivalley10132011

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  • Impact of data review q selfsilivalley10132011

    1. 1. The Impact of Data Review An Experiment in Mindful Eating Quantified Self SiliValley Meetup Oct 13, 2011Paul Whitmore Saspaulsas@xpcxpts.com
    2. 2. Lifelogging is NOT the crux of QSelfNot sociology-style correlationsRather, the goal is experimental interventionsCreate conditions that evoke the behavior you want to seeInitially, one key dependent variable focuses on “compliance withthe instruction”2
    3. 3. A “Copernican revolution” in my thinking about the QSelfCreate a script that intervenes to manipulate pre-existingpatterns of behavior Shift away from placing monitoring at the center Don’t simply track ambient behavior Move toward methods that deliver an instruction3
    4. 4. Mindful eatingInspired by Robin Barooahs Mindful Attending Exercise (QSelf Silivalley Meetup 8/11)Robin’s experiment went from WORN (Write once, read never) to WOWA (Write once, with attention) 4
    5. 5. If you snack it, track itIf you bite it, write itIf you nibble it, scribble itIf you eat it, tweet it+ It’s not a diet, it’s a live-it(Inspiring quotes from a Weight Watchers coach in the East Bay)
    6. 6. Using tech to control/direct attentionInitial Task: Photograph every food I eatFirst week (9/27) simply collect baseline data on howmany distinct occasions I eat (or drink anything otherthan water)
    7. 7. Using tech to control/direct attentionInitial Task: Photograph every food I eatFirst week (9/27) simply collect baseline data on howmany distinct occasions I eat (or drink anything otherthan water) Count photos per day (160, or 11.4/day) Note any lapses (5 in 15 days) Two exceptions: Shabbat every week & Yom Kippur this October
    8. 8. I’m not a Data NudistPotential aspects that might (optionally) be more public1- Food intake2- Weight gain or loss3- Commitments about what regime you’ll follow
    9. 9. Just a peak
    10. 10. Imagining before Eating Experiment published last Dec in Science showed:Thinking about eating 30 M&Msvs.Thinking of eating 3 M&MsThose who thought of 30 were more “habituated” andate less when given the option“Thought for Food: Imagined Consumption Reduces Actual Consumption”Carey K. Morewedge,1* Young Eun Huh,2 Joachim Vosgerau210 DECEMBER 2010 VOL 330 SCIENCE
    11. 11. Apps that Support Tracking Food Meal Snap Affiliated with DailyBurn Appears to use Mechanical Turk to guess Thin-Cam Affiliated with ThinSite Premium product sends 3X/week emails $ from Supplements, etc DietPicture (not released)
    12. 12. Extending FurtherAwareness as a wedge: Review last N things you ate. Test yourself on the time stamp of when you ate a randomly snapped photo
    13. 13. Platform for Further Behavior ShiftsUse this behavioral platform to splice in other activities E.g., practicing a language, doing a math problem, writing an expression of gratitude, whateverMonitor level of complianceModulate the demand if compliance drops
    14. 14. Decision Fatigue as your friend Roy Baumeister’s research shows that deliberating, making choices, and resisting temptation all lead to fatigueCan conceptualize yourself as two parties: Commander/controller is the “decider” at T 0 Executor/actor of script is the “follower” at T 0+NSet up a stream of decisions in your longterm self interestSend those instructions to your future selfObserve the success in implementing those ITERATE

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