Exploration of Affect Sensing from Speech and Metaphorical Text

Li Zhang

Research output: Contribution to conferencePaperpeer-review

14 Downloads (Pure)


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


Conference4th International Conference on e-Learning and Games
Abbreviated titleedutainment

Bibliographical note

Author can archive post-print (ie final draft post-refereeing).


Dive into the research topics of 'Exploration of Affect Sensing from Speech and Metaphorical Text'. Together they form a unique fingerprint.

Cite this