The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
Human-computer interaction (2nd ed.)
Human-computer interaction (2nd ed.)
Future interfaces: social and emotional
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Real or unreal?: an evaluation setting for emotional characters using unreal technology
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
Emotion recognition using facial expressions with active appearance models
HCI '08 Proceedings of the Third IASTED International Conference on Human Computer Interaction
Towards a psychographic user model from mobile phone usage
CHI '11 Extended Abstracts on Human Factors in Computing Systems
An event-response model inspired by emotional behaviors
BI'11 Proceedings of the 2011 international conference on Brain informatics
Influence of personality on satisfaction with mobile phone services
ACM Transactions on Computer-Human Interaction (TOCHI)
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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.