Social signal processing: Detecting small group interaction in leisure activity

Eyal Dim, Tsvi Kuflik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationIUI 2010 - Proceedings of the 14th ACM International Conference on Intelligent User Interfaces
Pages309-312
Number of pages4
DOIs
StatePublished - 2010
Event14th ACM International Conference on Intelligent User Interfaces, IUI 2010 - Hong Kong, China
Duration: 7 Feb 201010 Feb 2010

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference14th ACM International Conference on Intelligent User Interfaces, IUI 2010
Country/TerritoryChina
CityHong Kong
Period7/02/1010/02/10

Keywords

  • Group modeling
  • Interrupt management
  • Social signal processing
  • Ubiquitous computing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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