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An interaction model for affect monitoring

Song, Insu and Governatori, Guido and Colomb, Robert (2004) An interaction model for affect monitoring. In: AI 2004 : Advances in Artificial Intelligence. Lecture Notes in Computer Science, 3339/2 . Springer Berlin / Heidelberg, pp. 979-984. ISBN 978-3-540-24059-4

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Official URL: http://dx.doi.org/10.1007/b104336

Abstract

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.

Item Type:Book Section
Additional Information:17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, December 4-6, 2004. Proceedings
Uncontrolled Keywords:knowledge based systems, affect monitoring framework (AMF), interaction model
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:9803
Deposited By: Ms Zalinda Shuratman
Deposited On:25 Mar 2010 03:53
Last Modified:02 Jun 2010 02:03

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