An interaction model for affect monitoring

Authors:
Insu Song;Guido Governatori;Robert Colomb
Affiliations:
School of Information Technology & Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia;School of Information Technology & Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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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.