Communities of practice: performance and evolution
Computational & Mathematical Organization Theory
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sensing and Modeling Human Networks using the Sociometer
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
MIThril 2003: Applications and Architecture
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Sensing and modeling human networks
Sensing and modeling human networks
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The Human Dynamics research group is developing methods to automatically map the flow of information within groups and communities using audio collected from wearable sensors such as mobile phones or PDAs. Computational models of group interaction dynamics are then derived from this data, allowing us to answer questions such as: Who influences whom? How much? How can we modify group interactions to promote better information diffusion? The goal is real-time learning and modification of information flow within organisations; we describe initial results and discuss concerns about user privacy.