Exploration of affect sensing from speech and metaphorical text

Zhang, Li (2009) Exploration of affect sensing from speech and metaphorical text. In: Learning by Playing. Game-based Education System Design and Development. Lecture Notes in Computer Science, 5670 . Springer, pp. 251-262. ISBN 978-3-642-03363-6

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Official URL: http://dx.doi.org/10.1007/978-3-642-03364-3_31

Abstract

We report new developments on affect detection from textual metaphorical affective expression and affect sensing from speech. The textual affect detection component has been embedded in an intelligent conversational AI agent interacting with human users under loose scenarios. The detected affective states from text also play an important role in producing emotional animation for users’ avatars. Evaluation of the affect detection from speech and text is provided. Our work contributes to the conference themes on engagement and emotion, virtual AI agents, narrative storytelling in education and evaluation of affective social interaction.

Item Type: Book Section
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Sarah Howells
Date Deposited: 22 Oct 2012 13:47
Last Modified: 23 Mar 2017 12:37
URI: http://nrl.northumbria.ac.uk/id/eprint/9864

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