An Interaction Model for Affect Monitoring

Song, Insu, Governatori, Guido and Colomb, Robert (2004). An Interaction Model for Affect Monitoring. In: Geoff Webb and Xinghuo Yu, Lecture Notes in Computer Science: AI 2004: Advances in Artificial Intelligence. The Seventeenth Australian Joint Conference on Artificial Intelligence, Cairns, (979-984). 4-6 December, 2004.

 
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Author(s) Song, Insu
Governatori, Guido
Colomb, Robert
Title of paper An Interaction Model for Affect Monitoring
Conference name The Seventeenth Australian Joint Conference on Artificial Intelligence
Conference location Cairns
Conference dates 4-6 December, 2004
Proceedings title Lecture Notes in Computer Science: AI 2004: Advances in Artificial Intelligence
Editor(s) Geoff Webb
Xinghuo Yu
Place published Berlin
Publisher Springer-Verlag
Publication date 2004
Volume number 3339
ISBN 3-540-24059-4
ISSN 0302-9743
Start page 979
End page 984
Total pages 6
Language eng
Abstract/Summary This paper investigates how we can precisely define what process designers are ought achieve for what they have promised and more importantly in a way that satisfies human users. Toward these goals, an interaction model for processes and an Affect Monitoring Framework (AMF) are proposed based on our analysis on speech act theory and cognitive-based emotion models. The Affect Monitoring Framework is to detect and predict negative affects on users and to resolve caused or predicted causes of negative affects automatically.
Subjects 280104 Computer-Human Interaction
E1
Keyword(s) agents
human computer interaction
Additional Notes Copyright (c) 2004 Springer. The original publication is available at www.springerlink.com
 
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