Affective computing
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
User Modeling and User-Adapted Interaction
Sensing and modeling human networks
Sensing and modeling human networks
GroupMedia: distributed multi-modal interfaces
Proceedings of the 6th international conference on Multimodal interfaces
Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
A First Approach to Activity Recognition using Topic Models
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
A First Approach to Activity Recognition using Topic Models
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Exploiting unconscious user signals in multimodal human-computer interaction
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
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Face-to-face communication conveys social context as well as words, and it is this social signaling that allows new information to be smoothly integrated into a shared, group-wide understanding. By building machines that understand social signaling and social context we can begin to make communication tools that keep remote users 'in the loop,' and can dramatically improve collective decision making.