26th APS Annual Convention: Mark Your Calendar (San Francisco, CA, USA - May 22-25, 2014)

Presidential Cross-Cutting Theme Program

Mobile Sensing

Friday, May 23, 2014, 1:45 PM - 3:15 PM
Continental Ballroom 1-3

Psychological research and the technology industry mutually inform and influence each other, but rarely do these two worlds meet to engage in open dialogue. This cross-cutting theme program features scientists and industry leaders organized around three subthemes: behavioral genetics, mobile sensing, and social networks. We pose the following questions: How can scientists take advantage of rapid technological advances, and how can technology harness what social scientists know about human behavior?

This is part of the Presidential Theme Program: Science and Technology.

 

Andrew T. Campbell

StudentLife Project
Andrew T. Campbell
Dartmouth College
The StudentLife Project assesses the day-to-day and week-by-week impact of workload on stress, sleep, activity, mood, sociability, mental well-being, and academic performance in a single class of 48 students across a 10-week term at Dartmouth College using Android phones.


Rosalind W. Picard

Surprising New Insights from a Wristband
Rosalind W. Picard
Massachusetts Institute of Technology
Measurements of electrodermal activity, physical activity, and temperature from a wristband are leading to surprising new insights into emotional brain activity. This talk will highlight recent findings made from wearable sensors in natural environments, showing asymmetry related to anxiety, as well as patterns related to seizures and sleep memory consolidation.


Matthias R. Mehl

The Sounds of Social Life: Mobile Sensing with the (Human) EAR
Matthias R. Mehl
University of Arizona
This talk discusses the Electronically Activated Recorder or EAR as a mobile sensing application. It uses findings from recent EAR studies to highlight (1) how mobile sensing allows psychological scientists to pursue important questions that are otherwise difficult to answer and (2) how basic psychological research can psychometrically ground mobile sensing studies in computer science.


 

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