1. 1. THEORY DRIVEN DESIGN STRATEGIES FORTECHNOLOGIES THAT SUPPORT BEHAVIORCHANGE IN EVERYDAY LIFE Presenter: Mahbubur Rahman Sunny Consolvo, et al. CHI 2009 1
2. 2. Introduction People want to be fit and healthy Physical inactivity and poor eating habits lead to serious health problems Technologies help people change their lifestyle to adopt healthy behaviors Pe rsuasive te chno lo g y 2
3. 3. Research Question Use concepts from behavioral and social psychological theories Shape an understanding of how to design technology to support behavior change While suppo rting fundam e ntalso cialne e ds . 3
4. 4. Research Goals Propose design strategies for persuasive technologies that specifically account for the individuals social world 4
5. 5. Behavior Change Theory Goal-Setting Theory How individual responds to different types of goals Goals should be challenging, but realistic It should be easy to monitor progress 5
6. 6. Behavior Change Theory Trans-Theoretical Model (TTM) Precontemplation no intention to change Contemplation seriously considering change Preparation intend to take action Action performed desired behaviors Maintenance consistently performed 6
7. 7. Design Strategies (Persuasive Technology) Abstract and Reflective Unobtrusive Public Aesthetic Positive Controllable Historical Comprehensive 7
8. 8. User Studies Validate design strategy by iterative studies 1.Survey 2.3-week field study 3.3-months field study Three study conditions: 1.Full system 2.No garden 3.No MSP 8
9. 9. Key Results Abstract & Reflective Wall paper of the phone is an abstraction of reflection. Thought about activities and commitment more than usual Unobtrusive and Public No user refrained from using it in public Participants sometimes took of MSP to avoid 9
10. 10. Key Results Aesthetic Garden display was motivating and attractive Receiving flowers and butterflies means goal achieved Positive Flowers are positive representation of activity Gentle reminder without punishment 10
11. 11. Key Results Controllable Essential that participants can actively control the data Correct mistakes of MSP Trending /Historical Trend over three months Comprehensive 1853 activities performed in 3-month study 35-40% of them automatically inferred by MSP 11
12. 12. Summary This work explores design strategies for persuasive technology Two specific contributions Proposed a set of design strategies for behavior change Implemented design strategies to motivate physical activity 12
13. 13. Critique of work Short term study to draw a conclusion about behavior change theory It does not show timelines therefore to reflect on triggers (for stress monitoring) might be difficult Controllable not everyone is trustable 13