Generating context-sensitive responses to object-related misconceptions
Artificial Intelligence
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
The role of emotion in believable agents
Communications of the ACM
The persona effect: affective impact of animated pedagogical agents
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Integrating pedagogical capabilities in a virtual environment agent
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Coherent gestures, locomotion, and speech in life-like pedagogical agents
IUI '98 Proceedings of the 3rd international conference on Intelligent user interfaces
Coping with temporal constraints in multimedia presentation planning
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A simulation-based tutor that reasons about multiple agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Dynamically sequencing an animated pedagogical agent
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Lifelike animated agents for knowledge-based learning environments can provide timely, customized advice to support leaners' problem-solving activities. By drawing on a rich repertoire of emotive behaviors to exhibit contextually appropriate facial expressions and emotive gestures, these agents could exploit the visual channel to more effectively communicate with learners. To address these issues, this paper proposes the emotive-kinesthetic behavior sequencing framework for dynamically sequencing lifelike pedagogical agents' full-body emotive expression. By exploiting a rich behavior space populated with emotive behaviors and structured by pedagogical speech act categories, a behavior sequencing engine operates in realtime to select and assemble contextually appropriate expressive behaviors. This framework has been implemented in a lifelike pedagogical agent, Cosmo, who exhibits full-body emotive behaviors in response to learners' problem-solving activities.