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3rd international workshop on affective interaction in natural environments (AFFINE)

Published: 25 October 2010 Publication History

Abstract

The 3rd International Workshop on Affective Interaction in Natural Environments, AFFINE, follows a number of successful AFFINE workshops and events commencing in 2008.A key aim of AFFINE is the identification and investigation of significant open issues in real-time, affect-aware applications 'in the wild' and especially in embodied interaction, for example, with robots or virtual agents. AFFINE seeks to bring together researchers working on the real-time interpretation of user behaviour with those who are concerned with social robot and virtual agent interaction frameworks.

References

[1]
C. Breazeal. Role of expressive behaviour for robots that learn from people. Philosophical Transactions of the Royal Society B, 364:3527--3538, 2009.
[2]
R. W. Picard. Affective Computing. The MIT Press, September 1997.
[3]
Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1):39--58, January 2009.
[4]
T. Bickmore and R. W. Picard. Establishing and maintaining long-term human-computer relationships. ACM Transactions on Computer-Human Interaction, 12(2):293--327, June 2004.

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  1. 3rd international workshop on affective interaction in natural environments (AFFINE)

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      cover image ACM Conferences
      MM '10: Proceedings of the 18th ACM international conference on Multimedia
      October 2010
      1836 pages
      ISBN:9781605589336
      DOI:10.1145/1873951

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 25 October 2010

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      Author Tags

      1. affect
      2. naturalistic interaction
      3. social robots
      4. virtual agents

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      MM '10
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      MM '10: ACM Multimedia Conference
      October 25 - 29, 2010
      Firenze, Italy

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      Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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