- 1. The Design and Evaluation of Behavior Change Technologies:
Research at the Intersection of Behavioral Science, HCI/CS, and
EngineeringEric Hekler Assistant Prof, Nutrition & Health
Promotion Arizona State University [email protected]
www.designinghealth.orgSeminar for CIDSE 11/1/2
2. Outline Who am I? Why Behavior Change Technologies? BCT
Development Model Projects mHealth Physical Activity Interventions
DIY Self-Experimentation Toolkit Online Support Group Other
BCT-related Projects at SNHP 3. Outline Who am I? Why Behavior
Change Technologies? BCT Development Model Projects mHealth
Physical Activity Interventions DIY Self-Experimentation Toolkit
Online Support Group Other BCT-related Projects at SNHP 4. Who we
areSoftware Programming and Development Core Lead Programmer 5.
Outline Who am I? Why Behavior Change Technologies? HCI/Behavioral
Science Combined Process Projects mHealth Physical Activity
Interventions DIY Self-Experimentation Toolkit Online Support Group
Other BCT-related Projects at SNHP 6. http://youtu.be/QPKKQnijnsM
Why care about BCTs?Flickr just.LucFlickr-meanMrmustard 7. Digital
technologies arePervasive Interconnected Powerful enough to tackle
the complexity?Flickr Stuck in Customs 8. Health is
complexIndividual characteristics Over the lifespan 9. We want
Behavior Change Technologies that are Evidence-based Cost-effective
Personalized Easy to disseminate Promote maintenance Fit into a
persons daily life Financially self-sustaining 10. Behaviora l
ScienceBehavior Change TechnologiesEngineeringHuman
ComputerInteractionHekler, Klasnja, Froehlich, & Buman, 2013,
SIGCHI; Hekler, Klasnja, Travers, & Hendriks, 2013 IEEE Pulse
11. Outline Who am I? Why Behavior Change Technologies? BCT
Development Model Projects mHealth Physical Activity Interventions
DIY Self-Experimentation Toolkit Online Support Group Other
BCT-related Projects at SNHP 12. Mind the Theoretical Gap:
Interpreting, Using, and Developing Behavioral Theory in HCI
ResearchEric HeklerPredrag KlasnjaJon FroehlichMatthew
BumanAssistant Prof, Nutrition & Health Promotion Arizona State
University [email protected] Prof, iSchool U. of Michigan
[email protected] Prof, CS U. of Maryland
[email protected] Prof, Nutrition & Health Promotion
Arizona State University [email protected] 13. GoalHCI/Design The
design and creation of useful and usable technologies and
interactions.Behavioral Science The systematic search for
generalizable truths about behavior to create effective
interventions.Hekler, Klasnja, Froehlich, & Buman, 2013,
SIGCHIflickr Amyn Kassam 14. The design, creation, and evaluation
of useful and usable technologies to effectively promote behavior
change for positive societal change.Flickr ecstaticistHekler,
Klasnja, Froehlich, & Buman, 2013, SIGCHI 15. Nine Questions
for BCT Development DEFINE THE PROBLEM 1) What behavior(s) are you
trying to change for whom? 2) What influences target behavior(s)
for this user group? 3) How can we change the target behavior(s)?
DESIGN THE TECHNOLOGY & USER EXPERIENCE 4) How can technology
support behavior change? 5) How should individual features work? 6)
How is technology used and experienced? DETERMINE IF IT WORKS 7)
How are features working to change the target behavior? Klasnja,
Hekler, Froehlich, & Buman, Manuscript Submitted for
Publication 16. Defining the Behavior 17. Designing Behavior Change
ClassSyllabus: 18. Class Projectswk6wk18Develop an SMS health
behavior Intervention.Use theory to make yourself healthier.Use
previous work, theory, and UX Design to iterate on a health
intervention.Family & FriendsSelfTargeted User GroupPre/Post
ComparisonBaseline Intervention Baseline StudyIterate at least 3
times Test with A vs. B experimentsMethodsFocuswk4Who?wk1Syllabus:
19. Outline Who am I? Why Behavior Change Technologies? BCT
Development Model Projects mHealth Physical Activity Interventions
DIY Self-Experimentation Toolkit Online Support Group Other
BCT-related Projects at SNHP 20. ProjectsIndividual
characteristicsOver the lifespan*** ****PI/ Co-PI 21. mHealth
Physical Activity Interventions 22. MILES Study Develop
theoretically meaningful smartphone apps for midlife & older
adults Physical activity & behaviorsedentary Passively assess
PA & SB Feedback for behavior changeAbby King 23. Activity
Monitor Validation N=15, Men & Women, Mean Age=55 12
laboratory-based activities 3-4 min each Hip- and pocket-worn
Android phones Compared to Actigraph & Zephyr BioharnessHekler
et al. Manuscript in Preparation 24. Validation ResultsHekler et
al. Manuscript in Preparation 25. Validation ResultsHekler et al.
Manuscript in Preparation 26. The smartphone apps
mTrackmSmilesmConnectCalorificHekler et al. 2011, Personal
Informatics Workshop at CHI Design paper King, Hekler, et al. 2013
PLoS One, King, Hekler, et al. Manuscript in Preparation 27.
Componentsstudy arms mConnec mTrack mSmiles t Calorific Push
component X X X X Pull component X X X X "Glance-able" display X X
X X Passive activity assessment X X X X Real-time feedback X X X X
Self-monitoring X X X X Help tab X X X X Goal-setting X X Feedback
about goals X X Problem-solving X X Reinforcement X X X Variable
reinforcement schedule X X Attachment X "Play" X "Jack pot" random
reinforcement X Hekler et al. 2011, Personal Informatics Workshop
at CHI Design paper Social norm comparison X King, Hekler, et al.
2013 PLoS One, King, Hekler, et al. Manuscript in Preparation 28.
MILES Study Design PrestudyBaseline Week1 Visit1Follow upFeedback
Week2Week8Visit2, check inVisit3 mTrack (Analytic
App)RandomizemSmiles (Affect App) mConnect (Social App) Diet
Tracker Control App)Assess:Assess:Activity Assessment,
ContinuousModerators Self-report Ecological Momentary Assessment,
Daily PA, Sed Beh Real-time use of phone featuresAcceptability
Self-report PA, Sed BehKing, Hekler, et al. 2013 PLoS One, King,
Hekler, et al. Manuscript in Preparation 29. min/week of activity
at study completionPhysical Activity - 8wk Results300 250 200
150Brisk walking (min/week)100 50MVPA (min/week)0 AnalyticSocial
Smartphone AppsAffect Paired t [60] = 5.3, p