An intelligent agent with affect sensing from metaphorical language and speech

Authors:
Li Zhang
Affiliations:
University of Teesside, UK
Venue:
Proceedings of the International Conference on Advances in Computer Enterntainment Technology
Year:
2009

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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 affective computing and ambient intelligence, human-robots interaction, multimodal interaction, narrative storytelling in education and evaluation of affective social interaction.