Social signal processing: detecting small group interaction in leisure activity

Authors:
Eyal Dim;Tsvi Kuflik
Affiliations:
The University of Haifa, Haifa, Israel;The University of Haifa, Haifa, Israel
Venue:
Proceedings of the 15th international conference on Intelligent user interfaces
Year:
2010

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Abstract

Social Signal Processing of small groups enables detection of their social context. Monitoring of the social context may be based on position proximity (as a pre-condition for conversation), and on voice communication (an evidence for interaction). Understanding of the social context of a group may allow a system to intervene at the right moment and to suggest relevant services/information. This, in turn, may enhance the group members' experience during leisure activity. This study focuses on assessing the possibility of automatic detection of intra group interaction in a museum environment. It presents analysis and tools that intend to set the foundation for computer aided group interaction during leisure activities.