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Social signal processing: detecting small group interaction in leisure activity

Published: 07 February 2010 Publication History

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.

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Kuflik T., Stock O., Zancanaro M., Sheidin J., Jbara S., Goren-Bar D., Soffer P.: Supporting Small Groups in the Museum by Context-Aware Communication Services. Proceedings of the 12th International Conference on Intelligent User Interfaces, Honolulu, Hawaii, USA, 305--308 (2007)
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McManus P.: Towards Understanding the Needs of Museum Visitors. In B. and G.D. Lord (eds.), Manual of Museum Planning (London: HMSO), 35--51 (1991).
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Cited By

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  • (2011)Multi-perspective context modelling to augment adaptation in simulated learning environmentsProceedings of the 19th international conference on User modeling, adaption, and personalization10.5555/2021855.2021897(405-408)Online publication date: 11-Jul-2011
  • (2011)Multi-perspective Context Modelling to Augment Adaptation in Simulated Learning EnvironmentsUser Modeling, Adaption and Personalization10.1007/978-3-642-22362-4_38(405-408)Online publication date: 2011

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cover image ACM Conferences
IUI '10: Proceedings of the 15th international conference on Intelligent user interfaces
February 2010
460 pages
ISBN:9781605585154
DOI:10.1145/1719970
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 07 February 2010

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Author Tags

  1. group modeling
  2. interrupt management
  3. social signal processing
  4. ubiquitous computing

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Cited By

View all
  • (2011)Multi-perspective context modelling to augment adaptation in simulated learning environmentsProceedings of the 19th international conference on User modeling, adaption, and personalization10.5555/2021855.2021897(405-408)Online publication date: 11-Jul-2011
  • (2011)Multi-perspective Context Modelling to Augment Adaptation in Simulated Learning EnvironmentsUser Modeling, Adaption and Personalization10.1007/978-3-642-22362-4_38(405-408)Online publication date: 2011

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