NYU-Poly CUSP Workshop, March 2013

1. mobiles, data & behaviour
@neal_lathia
computer laboratory, university of cambridge

2. “by 2025, when most of today’s
psychology undergraduates will be in
their mid-30s, more than 5 billion
people on our planet will be using
ultra-broadband, sensor-rich
smartphones far beyond the abilities
of today’s iPhones, Androids, and
Blackberries.”
Miller

3. “mobile devices and the mobile internet
represent an extremely challenging search
environment. Limited screen space,
restricted text-input and interactivity and
impatient users all conspire...”
Church & Smyth

4. “...data harvesting through mobile phones
still presents a variety of challenges […]
energy consumption is still very high for both
data transmission and resource-intensive
local computation...”
Rachuri et al. (2011)

5. challenges
interaction device
inference

6. data challenges
using data collecting
data
learning
from data

7. 1: public transport

12. 2: behaviour change

13. infers
behavioural
measure deliver
intervention
evaluate

14. infers
behavioural
measure deliver
intervention
evaluate

15. infers
behavioural
measure deliver
intervention
evaluate

18. 3: six open research challenges

19. 3:1 the energy 'race war'

20. 3:2 inference: making sense from sensors

21. 3:3 generalisability: a future for open tools?

22. 3:4 participation: compliance, engagement?

23. 3:5 reconciliating with privacy

24. 3:6 evaluating for change

25. mobiles, data & behaviour
@neal_lathia
computer laboratory, university of cambridge