Title
Modeling multimodal expression of user's affective subjective experience
Abbreviated Journal Title
User Model. User-Adapt. Interact.
Keywords
affect; embodiment; emotion; interaction; perception; subjective; experience; FACIAL EXPRESSIONS; EMOTIONS; IMAGES; Computer Science, Cybernetics
Abstract
With the growing importance of information technology in our everyday life, new types of applications are appearing that require the understanding of information in a broad sense. Information that includes affective and subjective content plays a major role not only in an individual's cognitive processes but also in an individual's interaction with others. We identify three key points to be considered when developing systems that capture affective information: embodiment (experiencing physical reality), dynamics (mapping experience and emotional state with its label) and adaptive interaction (conveying emotive response, responding to a recognized emotional state). We present two computational systems that implement those principles: MOUE (Model Of User Emotions) is an emotion recognition system that recognizes the user's emotion from his/her facial expressions, and from it, adaptively builds semantic definitions of emotion concepts using the user's feedback; MIKE (Multimedia Interactive Environment for Kansei communication) is an interactive adaptive system that, along with the user, co-evolves a language for communicating over subjective impressions.
Journal Title
User Modeling and User-Adapted Interaction
Volume
12
Issue/Number
1
Publication Date
1-1-2002
Document Type
Article
Language
English
First Page
49
Last Page
84
WOS Identifier
ISSN
0924-1868
Recommended Citation
"Modeling multimodal expression of user's affective subjective experience" (2002). Faculty Bibliography 2000s. 3084.
https://stars.library.ucf.edu/facultybib2000/3084
Comments
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