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5w viewpoints associative topic search for networked conversation support system

Authors:

Yusuke MuraokaAuthors Info & Claims

HRI '10: Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction

Pages 165 - 166

Published: 02 March 2010 Publication History

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Abstract

To build up spontaneous conversation, it is important to select topics without a feeling of strangeness. When someone notices others are not interested in a topic, he/she tries to find a new topic. Then, he/she thinks of viewpoints of the conversation and selects a topic associated with the current topic from the viewpoints. To automate viewpoint-based topic selection, we present 5W viewpoint associative topic search. The method estimates the weights of 5W viewpoints (who, what, where, when and why) from conversation, to use an appropriate similarity to search for the next topic.

References

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Cabinet Office of Japan, White book of Aged Society. Tokyo, Japan: Gyousei.co, 2007.

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J. Mizuno, K. Inui, and Y. Matsumoto, "Human-computer interaction system using web news," JSAI-SIG-SLUD-A803, pp. 1--6, 2009.

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E. Fujimoto, K. Takanashi, Y. Kono, and M. Kidode, "An analysis of topic changes in free conversation using conceptual relations," Proceedings of JSAI2004, 2G3-1, 2004.

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S. Shiramatsu, K. Komatani, T. Ogata, and H. G. Okuno, "Developing calculation method of contextual similarity for providing information related to conversational context," JSAI-SIG-SLUD-A701, pp. 57--62, 2008.

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Index Terms

5w viewpoints associative topic search for networked conversation support system
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
      1. Asynchronous editors

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Information & Contributors

Information

Published In

HRI '10: Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction

March 2010

400 pages

ISBN:9781424448937

General Chairs:
Pamela Hinds
Stanford University, USA
,
Hiroshi Ishiguro
Osaka University, Japan
,
Program Chairs:
Takayuki Kanda
ATR, Japan
,
Peter Kahn
University of Washington, USA

Publisher

IEEE Press

Publication History

Published: 02 March 2010

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HRI 10

Sponsor:

HRI 10: International Conference on Human Robot Interaction

March 2 - 5, 2010

Osaka, Japan

Acceptance Rates

HRI '10 Paper Acceptance Rate 26 of 124 submissions, 21%;

Overall Acceptance Rate 268 of 1,124 submissions, 24%

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