quantified self revolution december 2013
TRANSCRIPT
Sleeping With TechnologyChristel De MaeyerDe 'Quantified Self' revolutie5 december 2013
Personal Informatics, a solution for behavior change in preventive healthcare?
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!
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
Connecting
AnythingAnyoneAnytime
Self-Tracking Apps
Eatery App Lift App Runkeeper App
Self-Tracking Devices
Self-Tracking Devices Dashboards
Behavior Design
• Persuasive technology – Behavior design
• Target audience is central – starting from habits-behavior
• Triggers – Hot and Cold • Simplicity• Three core motivators
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
3 Core Motivators each 2 facets
Fogg, 2008
Measuring Behavior and Behavioral Change
Fogg, 2010, Behavior Grid and Wizzard
Hot and Cold triggers
Put HOT triggers in the path of motivated people
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?
Measuring:
Calorie burningFood IntakeStepsPhysical ActivitySleep
Behavior change through technology or Persuasive Technology
Body Media armband as a measuring device
Sampling
Gender Age Culture Lifestyle
October - November
Phase I Fall
tracking
December - February
Phase II Silent Period
March-April
Phase III Spring
tracking
Mid-Long Period Research
Selfmonitoring process
Goal setting
Data interpretation
Coaching/feedback loop
Taxonomy of Self-Monitoring
Personal Coaching
Ananthanarayan, Siek, 2012Fogg, 2007
Adapted taxonomy
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
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’
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
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
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!
