Human Factors Affecting Decision in Virtual Operator Reasoning

摘要

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 behavior-based 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.