Title
Contextual affect sensing and metaphor interpretation
Abstract
Sensing social representations (e.g. relationships and common interests) of a conversation and recognizing affect and metaphor from context are challenging but essential for the building of an intelligent agent with emotion and social intelligence. In this paper, we report contextual affect detection based on emotion modeling of personal and social improvisational context. We also discuss cooking and sensory metaphor (including temperature, light, taste, and smell metaphors) interpretation. The overall affect sensing model has been embedded in an AI agent interacting with human users. The evaluation results indicated that the new development made the AI agent perform generally better in improvisational interaction.
Year
DOI
Venue
2012
10.1016/j.entcom.2011.12.002
Entertainment Computing
Keywords
Field
DocType
Contextual affect sensing,Metaphor interpretation,Drama improvisation and intelligent agents
Intelligent agent,Conversation,Improvisation,Cognitive science,Computer science,Social intelligence,Artificial intelligence,Multimedia,Metaphor
Journal
Volume
Issue
ISSN
3
3
1875-9521
Citations 
PageRank 
References 
0
0.34
15
Authors
2
Name
Order
Citations
PageRank
Li Zhang1789.26
M. Alamgir Hossain210716.52