2. UBHave's
...aim is to investigate the power and
challenges of using mobile phones and
social networking for Digital Behaviour
Change Interventions (DBCIs), and to
contribute to creating a scientifc
foundation for digitally supported
behaviour change.
3. Digital Behaviour Change Interventions
...focus on delivering relevant
information via digital means (e.g., a
web site) in order to support intents to
change behaviour
5. “ Study fndings suggested that young, currently
healthy adults have some interest in apps that
attempt to support health-related behaviour
change [...] The ability to record and track
behaviour and goals and the ability to acquire
advice and information “on the go” were valued.
Context-sensing capabilities and social media
features tended to be considered unnecessary
and off-putting.”
“Opportunities and Challenges for Smartphone Applications in Supporting
Health Behavior Change: Qualitative Study” Dennison et. al
6. “...They predicted that context-triggered advice
and suggestions would produce
counterproductive effects by drawing attention
towards unhealthy but attractive behaviour
choices.”
“Opportunities and Challenges for Smartphone Applications in Supporting
Health Behavior Change: Qualitative Study” Dennison et. al
8. ● User Interface and interaction:
– Diaries
– Menus
– Information
– Questionnaires
– Feedback
● Sensor data collection
● Context triggering
Towards a framework...
Generic components for mobile apps:
9. {
“intervention_id”:”my_intervention”,
“questions”: [ … ]
“diary”: [ …]
“sensors”: [ …],
“trigger”:[
{“accelerometer”:”moving”, “survey”:”physical_activity”}
]
}
...that can be 'authored'
Using well-known mobile app design patterns
Native app's benefts, web apps' benefts:
10. ● Questionnaires
● Feedback
● Sensor data collection & management
– “Open Source Smartphone Libraries for
Computational Social Science” MCSS 2013.
Part of the path so far...
Mostly measurement. (experience sampling)
Building from a subset of the functionality:
12. ● How can we keep users engaged in a
seemingly repetitive task?
– Diversify and sample from the questions as a
“journey” of unlocking feedback
– User needs vs. research needs
● How can we effciently collect sensor data?
– First deployment took a naïve approach
– Current implementation focuses on CPU time
rather than sensor strategy
Design Challenges