Cognitive engineering: human problem solving with tools
Human Factors
The phenotype of erroneous actions
International Journal of Man-Machine Studies
Cognitive modeling: knowledge, reasoning and planning for intelligent characters
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Extending virtual humans to support team training in virtual reality
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Virtual Humans Animation in Informed Urban Environments
CA '00 Proceedings of the Computer Animation
Graphical Models
Behavioral self-control of agent-based virtual pedestrians
ISSADS'05 Proceedings of the 5th international conference on Advanced Distributed Systems
A plan recognition process, based on a task model, for detecting learner's erroneous actions
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
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In this paper we present our research on virtual operator cognitive modeling and reasoning. They operate in a virtual environment for risk prevention. We want to model the influence of their cognitive states and personality on their decisions and actions in the environment. The purpose of our research is to design a system that generates behaviorbased errors to support learning and risk prevention. It uses new mechanisms taking into account human factors and human behavior model regarding risky situations. We make use of the COCOM and CREAM model describing the different states or control mode in which an agent can be regarding to a lack of time or a temporal pressure. A challenge is to implement these models to produce the expected flexible, contextual and erroneous behaviors in both normal and constrained working conditions.