Interaction Motivation Driven Virtual Human Emotion Modeling in Computer Engineering and Application

Nan Xiang; Li Li Yang

doi:10.4028/www.scientific.net/AMR.859.602

Paper Titles

Study on Information Technology with MADS — A New Data Clustering Algorithm Based on Ant Colony Optimization
p.572

Information Technology in an Improved Quantum Genetic Algorithm Based on Dynamic Adjustment of Quantum Rotation Angle
p.577

Design and Implementation of the Safety Monitoring System with Information Technology for Pork Product
p.582

Research on Information Technology with Detecting the Fraudulent Clicks Using Classification Method
p.586

Comparison Studies on Prediction Methods of Network Information System Survivability Situation
p.591

The Optimal Information Rates of the Graph Access Structures on Seven Participants
p.596

Interaction Motivation Driven Virtual Human Emotion Modeling in Computer Engineering and Application
p.602

Application of Information Technology for Government Role in Rural E-Commerce Development — From the Perspective of Basic Public Services
p.608

Influence of Web Application Technology on the Public Hospital Reform in China
p.613

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 859Interaction Motivation Driven Virtual Human...

Interaction Motivation Driven Virtual Human Emotion Modeling in Computer Engineering and Application

Abstract:

Affective computing had been widely used in computer engineering and applications fields. Emotion generation is an important research component in affective computing field and there were a lot of works had been put into generating lifelike emotion reaction and emotional behaviors [1-. OCC model is the most common used emotion model and can be integrated with other component to generate virtual humans emotion states. However

You might also be interested in these eBooks

Advanced Research on Civil Engineering, Materials Engineering and Applied Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 859)

Pages:

602-607

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.859.602

Citation:

Cite this paper

Online since:

December 2013

Authors:

Nan Xiang, Li Li Yang

Keywords:

Affective Computing, Emotion Generation, Interaction Motivation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] J. Gratch, and S. Marsella. A domain-independent framework for modeling emotion, Cognitive Systems Research, vol. 5, no. 4, pp.269-306, (2004).

DOI: 10.1016/j.cogsys.2004.02.002

Google Scholar

[2] A. Egges, S. Kshirsagar, and N. Magnenat‐Thalmann. Generic personality and emotion simulation for conversational agents, Computer Animation and Virtual Worlds, vol. 15, no. 1, pp.1-13, (2004).

DOI: 10.1002/cav.3

Google Scholar

[3] R. Marinier III, J. Laird, and R. Lewis. A computational unification of cognitive behavior and emotion, Cognitive Systems Research, vol. 10, no. 1, pp.48-69, (2009).

DOI: 10.1016/j.cogsys.2008.03.004

Google Scholar

[4] C. Becker-Asano, and I. Wachsmuth. Affective computing with primary and secondary emotions in a virtual human, Autonomous Agents and Multi-Agent Systems, vol. 20, no. 1, pp.32-49, (2009).

DOI: 10.1007/s10458-009-9094-9

Google Scholar

[5] K. Scherer. Appraisal considered as a process of multilevel sequential checking, Appraisal processes in emotion: Theory, methods, research, vol. 92, p.120, (2001).

Google Scholar

[6] R. Calvo, and S. D'Mello. Affect Detection: An Interdisciplinary Review of Models, Methods, and their Applications, IEEE Transactions on Affective Computing, vol. 1, no. 2, (2010).

Google Scholar

[7] A. Newell. Unified theories of cognition, Harvard Univ Pr, (1994).

Google Scholar

[8] H. Yang, Z. Pan, M. Zhang, et al. Modeling emotional action for social characters, The Knowledge Engineering Review, vol. 23, no. 4, pp.321-337, (2008).

DOI: 10.1017/s0269888908000027

Google Scholar

[9] M. El-Nasr, J. Yen, and T. Ioerger. Flame—fuzzy logic adaptive model of emotions, Autonomous Agents and Multi-Agent Systems, vol. 3, no. 3, pp.219-257, (2000).

DOI: 10.1023/a:1010030809960

Google Scholar

[10] C. Elliott. The Affective Reasoner: A process model of emotions in a multi-agent system, (1992).

Google Scholar

[11] K. LaBar, and R. Cabeza. Cognitive neuroscience of emotional memory, Nature Reviews Neuroscience, vol. 7, no. 1, pp.54-64, (2006).

DOI: 10.1038/nrn1825

Google Scholar

[12] J. Laird. Extending the Soar cognitive architecture, Proceeding of the 2008 conference on Artificial General Intelligence IOS Press, pp.224-235, (2008).

Google Scholar

[13] D. Mikami, K. Otsuka, and J. Yamato. Memory-based particle filter for face pose tracking robust under complex dynamics, IEEE Conference on Computer Vision and Pattern Recognition, (2009).

DOI: 10.1109/cvpr.2009.5206661

Google Scholar