Affect Interpretation from Dramatic Improvisation using Character and Contextual Profiles

Zhang, Li (2010) Affect Interpretation from Dramatic Improvisation using Character and Contextual Profiles. International Journal of Computational Linguistics Research, 1 (3). pp. 164-177. ISSN 0976-4178

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Abstract

Affect detection from open-ended text-based dialogue and contextual profiles is challenging but essential for the building of effective intelligent user interfaces. In this paper, we report updated developments of an affect detection model from text, including affect detection from two particular types of metaphorical affective expressions (food and cooking metaphors) and affect detection based on context. We use Markov chains and dynamic algorithm to simulate the improvisational mood of a particular character for contextual affect analysis and explore an alternative approach for emotional context modelling in a comparatively complex story context. The overall affect detection model has been embedded in an intelligent conversational AI agent interacting with human users under loose scenarios. Evaluation for the updated affect detection component is also provided. Our work contributes to the journal themes on human-agent interaction, affective computing and dialogue based systems.

Item Type: Article
Uncontrolled Keywords: affect interpretation, dramatic improvisation, character and contextual profiling
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Related URLs:
Depositing User: Ay Okpokam
Date Deposited: 23 Dec 2011 13:36
Last Modified: 10 Aug 2015 11:21
URI: http://nrl.northumbria.ac.uk/id/eprint/4430

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