mobiles, data & behaviour@neal_lathiacomputer laboratory, university of cambridge
“by 2025, when most of today’spsychology undergraduates will be intheir mid-30s, more than 5 billionpeople on our planet w...
“mobile devices and the mobile internetrepresent an extremely challenging searchenvironment. Limited screen space,restrict...
“...data harvesting through mobile phonesstill presents a variety of challenges […]energy consumption is still very high f...
challengesinteraction                device               inference
data challengesusing data                     collecting                                 data                 learning    ...
1: public transport
2: behaviour change
infers          behaviouralmeasure                  deliver          intervention          evaluate
infers          behaviouralmeasure                  deliver          intervention          evaluate
infers          behaviouralmeasure                  deliver          intervention          evaluate
3: six open research challenges
3:1 the energy race war
3:2 inference: making sense from sensors
3:3 generalisability: a future for open tools?
3:4 participation: compliance, engagement?
3:5 reconciliating with privacy
3:6 evaluating for change
mobiles, data & behaviour@neal_lathiacomputer laboratory, university of cambridge
Mobile Sensors in the City
Mobile Sensors in the City
Mobile Sensors in the City
Mobile Sensors in the City
Mobile Sensors in the City
Mobile Sensors in the City
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Mobile Sensors in the City

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NYU-Poly CUSP Workshop, March 2013

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Mobile Sensors in the City

  1. 1. mobiles, data & behaviour@neal_lathiacomputer laboratory, university of cambridge
  2. 2. “by 2025, when most of today’spsychology undergraduates will be intheir mid-30s, more than 5 billionpeople on our planet will be usingultra-broadband, sensor-richsmartphones far beyond the abilitiesof today’s iPhones, Androids, andBlackberries.” Miller
  3. 3. “mobile devices and the mobile internetrepresent an extremely challenging searchenvironment. Limited screen space,restricted text-input and interactivity andimpatient users all conspire...” Church & Smyth
  4. 4. “...data harvesting through mobile phonesstill presents a variety of challenges […]energy consumption is still very high for bothdata transmission and resource-intensivelocal computation...” Rachuri et al. (2011)
  5. 5. challengesinteraction device inference
  6. 6. data challengesusing data collecting data learning from data
  7. 7. 1: public transport
  8. 8. 2: behaviour change
  9. 9. infers behaviouralmeasure deliver intervention evaluate
  10. 10. infers behaviouralmeasure deliver intervention evaluate
  11. 11. infers behaviouralmeasure deliver intervention evaluate
  12. 12. 3: six open research challenges
  13. 13. 3:1 the energy race war
  14. 14. 3:2 inference: making sense from sensors
  15. 15. 3:3 generalisability: a future for open tools?
  16. 16. 3:4 participation: compliance, engagement?
  17. 17. 3:5 reconciliating with privacy
  18. 18. 3:6 evaluating for change
  19. 19. mobiles, data & behaviour@neal_lathiacomputer laboratory, university of cambridge

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