Ubiquitous and Social Computing for
Positive Behaviour Change
UBHave's
...aim is to investigate the power and
challenges of using mobile phones and
social networking for Digital Behavi...
Digital Behaviour Change Interventions
...focus on delivering `information' via
digital means (e.g., a web site) in order
...
Accelerometer
Microphone
Camera
GPS
Compass
Gyroscope
Wi-Fi
Bluetooth
Proximity
NFC
Light
“...each of these transactions leaves
digital traces that can be compiled into
comprehensive pictures of both
individual a...
Monitor
Learn
Deliver
Mobile
Intervention
“Smartphones for Large-Scale Behaviour Change
Interventions”. IEEE Pervasive 201...
“...sampling to capture data from the
sensors of the phone cannot be
performed continuously, as this will
drain the batter...
“Study fndings suggested that young, currently
healthy adults have some interest in apps that
attempt to support health-re...
Monitor
Learn
Deliver
Mobile
Intervention
Design
Towards a framework...
Mobile Web App
Native Mobile App
Reconfgurable
Interfaces
Dynamic Content
Sensing
Notifcations
{
“intervention_id”:”my_intervention”,
“questions”: [ … ]
“diary”: [ …]
“sensors”: [ …],
“trigger”:[
{“accelerometer”:”mov...
● Questionnaires
● Feedback
● Sensor data collection & management
Part of the path so far...
Mostly measurement. (experien...
Emotion Sense
● Battery-friendly sensor data collection
● Triggering notifcations
● Data storage & transmission
“Reinventing the Wheel”
...
● Pull Sensors
– Accelerometer, Location, Microphone
– Wi-Fi, Bluetooth, Camera
– Active apps, SMS/Call Log Content
● Push...
Open Source Android Smartphone
Libraries
http://emotionsense.org
https://github.com/nlathia/SensorManager
https://github.c...
● How can we keep users engaged in a
seemingly repetitive task?
– Diversify and sample from the questions as a
“journey” o...
Sensor & Emotion Data
Valence vs. Sociability
Self-Report:
r = 0.0581
Valence vs. SMS Events:
r = 0.2154
“Can I run an ESM study
like Emotion Sense?”
Generalise sensor-
enhanced experience
sampling tool. Currently in
alpha test...
Smartphone Libraries:
Sensing, Triggers, Data
Management
Emotion Sense
Easy M
Sensing
Apps &
ESM
Research
towards ubhave's...
The Ubhave Framework
The Ubhave Framework
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The Ubhave Framework

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Talk (part 1/3) given at #ubhave13 conference, 25 September 2013

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Transcript of "The Ubhave Framework"

  1. 1. Ubiquitous and Social Computing for Positive Behaviour Change
  2. 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. 3. Digital Behaviour Change Interventions ...focus on delivering `information' via digital means (e.g., a web site) in order to support intents to change behaviour
  4. 4. Accelerometer Microphone Camera GPS Compass Gyroscope Wi-Fi Bluetooth Proximity NFC Light
  5. 5. “...each of these transactions leaves digital traces that can be compiled into comprehensive pictures of both individual and group behaviour... “Computational Social Science” Lazer et. al
  6. 6. Monitor Learn Deliver Mobile Intervention “Smartphones for Large-Scale Behaviour Change Interventions”. IEEE Pervasive 2013.
  7. 7. “...sampling to capture data from the sensors of the phone cannot be performed continuously, as this will drain the battery rapidly. However, conservative sampling leads to the loss of valuable behavioural data...” K. Rachuri
  8. 8. “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
  9. 9. Monitor Learn Deliver Mobile Intervention Design
  10. 10. Towards a framework... Mobile Web App Native Mobile App Reconfgurable Interfaces Dynamic Content Sensing Notifcations
  11. 11. { “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:
  12. 12. ● Questionnaires ● Feedback ● Sensor data collection & management Part of the path so far... Mostly measurement. (experience sampling) Building from a subset of the functionality:
  13. 13. Emotion Sense
  14. 14. ● Battery-friendly sensor data collection ● Triggering notifcations ● Data storage & transmission “Reinventing the Wheel” All smartphone-based research needs to begin by engineering solutions for:
  15. 15. ● Pull Sensors – Accelerometer, Location, Microphone – Wi-Fi, Bluetooth, Camera – Active apps, SMS/Call Log Content ● Push Sensors – Battery, Connection State – Proximity, Screen – Phone Calls/SMS Events Everything as a 'Sensor'
  16. 16. Open Source Android Smartphone Libraries http://emotionsense.org https://github.com/nlathia/SensorManager https://github.com/nlathia/TriggerManager https://github.com/nlathia/SensorDataManager
  17. 17. ● 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
  18. 18. Sensor & Emotion Data Valence vs. Sociability Self-Report: r = 0.0581 Valence vs. SMS Events: r = 0.2154
  19. 19. “Can I run an ESM study like Emotion Sense?” Generalise sensor- enhanced experience sampling tool. Currently in alpha testing.
  20. 20. Smartphone Libraries: Sensing, Triggers, Data Management Emotion Sense Easy M Sensing Apps & ESM Research towards ubhave's intervention framework Research
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