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Author Zhang, Li
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF ♦ HTM / HTML
Language English
Subject Keyword Relationship interpretation ♦ Drama improvisation ♦ Contextual affect detection
Abstract Real-time contextual affect-detection from open-ended text-based dialogue is challenging but essential for the building of effective intelligent user interfaces. In our previous work, an affect-detection component was developed, which was embedded in an intelligent agent interacting with human-controlled characters under the improvisation of loose scenarios. The affect-detection module is capable of detecting 25 basic and complex emotions based on the analysis of pure individual turn-taking input without any contextual inference. In this article, we report developments on equipping the intelligent agent with the abilities of interpreting dynamic inter-relationships between improvisational human-controlled characters and performing contextual affect-sensing, based on the discussion topics, the improvisational “mood” that one has created, relationship interpretation between characters, and the most recent affect profiles of other characters. Evaluation results on the updated affect-detection component are also reported. Overall, the performances of the contextual affect-sensing and dynamic relationship interpretation are promising. The work contributes to the journal themes on affective computing, human-robots/agent interaction, and narrative-based interactive theatre.
Description Affiliation: Teesside University, UK (Zhang, Li)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-03-01
Publisher Place New York
Journal Computers in Entertainment (CIE) (CIE)
Volume Number 8
Issue Number 3
Page Count 16
Starting Page 1
Ending Page 16


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Source: ACM Digital Library