quantified self revolution december 2013
TRANSCRIPT
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Sleeping With TechnologyChristel De MaeyerDe 'Quantified Self' revolutie5 december 2013
Personal Informatics, a solution for behavior change in preventive healthcare?
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Overview
• Personal Informatics?• Behavior Design?• Overview of tools I research• Research Question • How? Fogg’s MAT model and Behavior Grid• Theory in real world practise• Results
sleep efficiency 97% last night, feeling crispy!
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Personal Informatics
• A set of tools to map behavior• Aim to change behavior• Biggest market today lifestyle, wellbeing, health,
40.000 mobile health apps in 2012• 60% US is tracking exercise, diets, weight• 33 % tracks other aspects, sleep patterns, blood
pressure, blood sugar• 27 % Internet users track health data online• 9 % Signed up for text messaging health alerts
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Connecting
AnythingAnyoneAnytime
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Self-Tracking Apps
Eatery App Lift App Runkeeper App
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Self-Tracking Devices
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Self-Tracking Devices Dashboards
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Behavior Design
• Persuasive technology – Behavior design
• Target audience is central – starting from habits-behavior
• Triggers – Hot and Cold • Simplicity• Three core motivators
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Model for understanding persuasive side of devices and software application
Fogg, 2008
Simplicity factors depending on person and context to create more ability, the more ability the more motivation
- Time- Money- Braincycles- Physical effort- Social acceptance- Non-Routine
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3 Core Motivators each 2 facets
Fogg, 2008
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Measuring Behavior and Behavioral Change
Fogg, 2010, Behavior Grid and Wizzard
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Hot and Cold triggers
Put HOT triggers in the path of motivated people
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Is 24/7 self-monitoring creating enough awareness and persuasion to get a balanced lifestyle?
Will it bring a general wellbeing with self-monitored people?
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Measuring:
Calorie burningFood IntakeStepsPhysical ActivitySleep
Behavior change through technology or Persuasive Technology
Body Media armband as a measuring device
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Sampling
Gender Age Culture Lifestyle
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October - November
Phase I Fall
tracking
December - February
Phase II Silent Period
March-April
Phase III Spring
tracking
Mid-Long Period Research
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Selfmonitoring process
Goal setting
Data interpretation
Coaching/feedback loop
Taxonomy of Self-Monitoring
Personal Coaching
Ananthanarayan, Siek, 2012Fogg, 2007
Adapted taxonomy
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Findings
Phase III Spring 2013
3 core motivators- Sensation: pleasure, ‘new’, curiosity- Anticipation: hope, trigger to change
something- Social cohesion: being part of
something cool, group feeling
Phase I Fall 2012
3 core motivators turn into negative behavior with someparticipants:Sensation: ‘new’ & ‘curiosity’ goneAnticipation: confrontation with dataSocial cohesion: rejection, outside world reactions
Phase II Winter8 out of 10 experimentersstop self-tracking
device created dependencies:without device =Back to old routines, less awareness
Phase III 2 women dropped out – Data frustration- Problems with the deviceOne only tracked herself for 20 % ignorable dataMen more consistent focus on sleep and activityWomen focus on weight loss, more difficult to do
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Findings – Dot and Span Behavior
Ability factors/Context factors: (Money, Time, Brain Cycles, Physical Effort, None-Routine, Out of the Ordinary)Device:• Fall: feels comfortable, identifies with it, but
first signs of ‘Out of the ordinary’• Spring: doing good = ‘takes time’, less comfort
in long time wearing, outsiders remarks ‘Out of the ordinary’
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Behavior:• Fall: small changes, creating routines
instructed, brain cycles (cognitive investment) made
• Spring: due to stop, routine not established, lack of maintenance in habit forming and cognitive effort
Findings – Dot and Span Behavior
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Culture and season:• Culture: SF vibrant city, nature aspects,
attractive to be active (not representative for US!). BE city vs rural area, latter more attractive
• Season: SF weather is a trigger to go outside. BE seasonal effect, weather dependency high, less activity
Findings – Dot and Span Behavior
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Conclusion
• Facilitate (triggers and higher the ability, instead of motivate behavior change)
• Simplicity stimulates behavior change• What do we want people to do?• Help people what they already want to do
• It has to be very easy! (LarkLife – Body Media) • Zeo Bedside Model versus Zeo Mobile• Mainstream? Intuitive, discrete, second skin, less expensive,
seamless synchronizing process, data presentation, there needs to be a need!