mobiles, data & behaviour@neal_lathiacomputer laboratory, university of cambridge

“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

“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

“...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)

interaction device

challenges

inference

using data collecting data

data challenges

learning from data

1: public transport

2: behaviour change

measure deliverbehaviouralintervention

infers

evaluate

measure deliverbehaviouralintervention

infers

evaluate

measure deliverbehaviouralintervention

infers

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