Abstract
This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on an artificial neural network and is able to learn six basic emotional states. The elicitation of emotions is based on models drawn from the state of the art in modeling emotions in the field of psychology. Further the described framework includes the Five-Factor Model of Personality to represent different agent personalities. Nemesys (called after Nemesis, the Greek goddess of righteous anger) is designed to perform in various types of interfaces. The usage of Nemesys is presented with an application scenario employing a commercial 3D game-engine. Additionally a critical review of the current elicitation behavior of Nemesys is presented and discussed.
Original language | English |
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Title of host publication | CHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05 |
Pages | 1347-1350 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 1 Dec 2005 |
Externally published | Yes |
Event | 23rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2005 - Portland, United States Duration: 2 Apr 2005 → 7 Apr 2005 Conference number: 23 http://www.chi2005.org/ |
Conference
Conference | 23rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2005 |
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Abbreviated title | CHI 2005 |
Country/Territory | United States |
City | Portland |
Period | 2/04/05 → 7/04/05 |
Internet address |
Keywords
- Agent
- Believability
- Emotion
- Games
- Intelligent Interaction
- User Experience