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SUMMARY:Sensing and Visualizing Social Context from Physical Proximity - T
 om Nicolai  (University of Bremen)
DTSTART:20100624T150000Z
DTEND:20100624T160000Z
UID:TALK25048@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:The concept of ubiquitous computing\, as introduced by Marc We
 iser in the early 90s\, spurred research into various kinds of context-awa
 re systems and applications. There is a wide range of contextual parameter
 s\, including location\, time\, temperature\, devices and people in proxim
 ity\, which have been part of the initial ideas about context-aware comput
 ing. While locational context is already a well understood concept\, socia
 l context---based on the people around us---proves to be harder to grasp a
 nd to operationalize. In this talk\, I will explore the concept of social 
 context in ubiquitous computing. The focus lies on the measurement of soci
 al context in urban environments with the Bluetooth device discovery proto
 col\, and a number of methods to visualize personal behavior\, group behav
 ior\, and the behavior of groups in relation to places. These methods are 
 based on the concept of structural equivalence in social network analysis.
  I will present a number of visualizations to understand social context in
  relation to location and time---both on a long term and short term. My re
 search builds on a new dataset collected for this purpose\, which contains
  Bluetooth contact data from an egocentric perspective in a number of diff
 erent social settings\, some of which are complemented by data from statio
 nary Bluetooth scanners and Cell-ID measurements.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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