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SUMMARY:SociableSense: Exploring the Trade-offs of Adaptive Sampling and C
 omputation Offloading for Social Sensing - Kiran Rachuri (University of Ca
 mbridge)
DTSTART:20110908T150000Z
DTEND:20110908T160000Z
UID:TALK32096@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:The interactions and social relations among users in workplace
 s have been studied by many generations of social psychologists. There is 
 evidence that groups of users that interact more in workplaces are more pr
 oductive. However\, it is still hard for social scientists to capture fine
 -grained data about phenomena of this kind and to find the right means to 
 facilitate interaction. It is also difficult for users to keep track of th
 eir level of sociability with colleagues. While mobile phones offer a fant
 astic platform for harvesting long term and fine grained data\, they also 
 pose challenges: battery power is limited and needs to be traded-off for s
 ensor reading accuracy and data transmission\, while energy costs in proce
 ssing computationally intensive tasks are high.\n\nIn this paper\, we prop
 ose SociableSense\, a smart phones based platform that captures user behav
 ior in office environments\, while providing the users with a quantitative
  measure of their sociability and that of colleagues. We tackle the techni
 cal challenges of building such a tool: the system provides an adaptive sa
 mpling mechanism as well as models to decide whether to perform computatio
 n of tasks\, such as the execution of classification and inference algorit
 hms\, locally or remotely. We perform several micro-benchmark tests to fin
 e-tune and evaluate the performance of these mechanisms and we show that t
 he adaptive sampling and computation distribution schemes balance trade-of
 fs among accuracy\, energy\, latency\, and data traffic. Finally\, by mean
 s of a social psychological study with ten participants for two working we
 eks\, we demonstrate that SociableSense fosters interactions among the par
 ticipants and helps in enhancing their sociability.\n\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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