Exploitation in affect detection in open-ended improvisational text

Authors:
Li Zhang;John A. Barnden;Robert J. Hendley;Alan M. Wallington
Affiliations:
University of Birmingham, Birmingham, UK;University of Birmingham, Birmingham, UK;University of Birmingham, Birmingham, UK;University of Birmingham, Birmingham, UK
Venue:
SST '06 Proceedings of the Workshop on Sentiment and Subjectivity in Text
Year:
2006

Citing 3
Cited 4

Affective computing

Affective computing
CorMet: a computational, corpus-based conventional metaphor extraction system

Computational Linguistics
Interactive drama, art and artificial intelligence

Interactive drama, art and artificial intelligence

Lexical Affect Sensing: Are Affect Dictionaries Necessary to Analyze Affect?

ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
"I Know What You Feel": Analyzing the Role of Conjunctions in Automatic Sentiment Analysis

GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
E-Drama: Facilitating Online Role-play using an AI Actor and Emotionally Expressive Characters

International Journal of Artificial Intelligence in Education
Affect detection and an automated improvisational AI actor in E-drama

ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We report progress on adding affect-detection to a program for virtual dramatic improvisation, monitored by a human director. We have developed an affect-detection module to control an automated virtual actor and to contribute to the automation of directorial functions. The work also involves basic research into how affect is conveyed through metaphor. The project contributes to the application of sentiment and subjectivity analysis to the creation of emotionally believable synthetic agents for interactive narrative environments.