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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