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
GameBots: a flexible test bed for multiagent team research
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
Communicating emotions in online chat using physiological sensors and animated text
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Virtual unreality: storytelling in virtual environments
Proceedings of the ACM symposium on Virtual reality software and technology
NEmESys: neural emotion eliciting system
CHI '05 Extended Abstracts on Human Factors in Computing Systems
An experimental setting to measure contextual perception of embodied conversational agents
Proceedings of the international conference on Advances in computer entertainment technology
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This paper sketches a setup to perform user experience tests on game characters which act emotionally based on their personality and situation. The test setting is primarily designed to benchmark Nemesys, a system designed to elicit emotions based on an artificial neural network that is able to learn six basic emotional states. Nemesys is based on models drawn from the state of the art in modeling emotions in the field of psychology and also includes the Five-Factor Model of Personality to represent different personalities.The test and application scenario employs the commercial 3D game engine from Unreal Tournament 2003, a stereoscopic projecting of the scene and biofeedback measurements of the affective state of the player.