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SUMMARY:Title: Mobile Sensing at the Service of Mental Well-being: a Large
 -Scale Longitudinal Study - Sandra Servia (QMUL)
DTSTART:20170309T150000Z
DTEND:20170309T160000Z
UID:TALK70565@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:Measuring mental well-being with mobile sensing has been an in
 creasingly active research topic. Pervasiveness of smartphones combined wi
 th the convenience of mobile app distribution platforms (e.g.\, Google Pla
 y) provide a tremendous opportunity to reach out to millions of users. How
 ever\, the studies at the confluence of mental health and mobile sensing h
 ave been longitudinally limited\, controlled\, or confined to a small numb
 er of participants. In this talk I will report on what we believe is the l
 argest longitudinal in-the-wild study of mood through smartphones. I will 
 describe an Android app to collect participants' self-reported moods and s
 ystem triggered experience sampling data while passively measuring their p
 hysical activity\, sociability\, and mobility via their device's sensors. 
 I will report the results of a large-scale analysis of the data collected 
 for about three years from ~18\,000 users.\n\nThis is a rehearsal talk for
  WWW’17.\n\nBio: Sandra Servia is a Postdoctoral Research Assistant at Q
 ueen Mary University (QMUL)\, where she works on privacy-preserving  data 
 analytics as part of the Databox project. Before joining QMUL\, she held R
 esearch Associate positions in the Systems Research Group (SRG) of the Uni
 versity of Cambridge and at the HP Labs (Bristol). She completed her Ph.D.
  in Telematics Engineering at the University of Vigo (Spain) in 2015. From
  May to September 2013 she was a visiting research student in the SRG grou
 p of the University of Cambridge\, and from April to August 2014 an intern
  in the former Social Computing Group of the HP Labs (Palo Alto\, CA). Her
  current research interests lie in the intersection of privacy-preserving 
 data analytics\, mobile sensing and eHealth. 
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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