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Affect Detection from Text-Based Virtual Improvisation and Emotional Gesture Recognition
Joint Authors
Source
Advances in Human-Computer Interaction
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
We have developed an intelligent agent to engage with users in virtual drama improvisation previously.
The intelligent agent was able to perform sentence-level affect detection from user inputs with strong emotional indicators.
However, we noticed that many inputs with weak or no affect indicators also contain emotional implication but were regarded as neutral expressions by the previous interpretation.
In this paper, we employ latent semantic analysis to perform topic theme detection and identify target audiences for such inputs.
We also discuss how such semantic interpretation of the dialog contexts is used to interpret affect more appropriately during virtual improvisation.
Also, in order to build a reliable affect analyser, it is important to detect and combine weak affect indicators from other channels such as body language.
Such emotional body language detection also provides a nonintrusive channel to detect users’ experience without interfering with the primary task.
Thus, we also make initial exploration on affect detection from several universally accepted emotional gestures.
American Psychological Association (APA)
Zhang, Li& Yap, Bryan. 2012. Affect Detection from Text-Based Virtual Improvisation and Emotional Gesture Recognition. Advances in Human-Computer Interaction،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-473370
Modern Language Association (MLA)
Zhang, Li& Yap, Bryan. Affect Detection from Text-Based Virtual Improvisation and Emotional Gesture Recognition. Advances in Human-Computer Interaction No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-473370
American Medical Association (AMA)
Zhang, Li& Yap, Bryan. Affect Detection from Text-Based Virtual Improvisation and Emotional Gesture Recognition. Advances in Human-Computer Interaction. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-473370
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473370