Exploration of Affect Sensing from Speech and Metaphorical Text

Li Zhang

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Pages251 - 262
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event4th International Conference on e-Learning and Games - Banff, Canada
Duration: 9 Aug 200911 Sep 2009
Conference number: 4

Conference

Conference4th International Conference on e-Learning and Games
Abbreviated titleedutainment
CountryCanada
CityBanff
Period9/08/0911/09/09

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    Zhang, L. (2009). Exploration of Affect Sensing from Speech and Metaphorical Text. 251 - 262. Paper presented at 4th International Conference on e-Learning and Games, Banff, Canada. https://doi.org/10.1007/978-3-642-03364-3_31