Assessing human supervision strategies with qualitative reasoning techniques

Abstract:

In dynamic process supervision it is important to exhibit the different human operator behaviour patterns when performed a specified task. This paper presents a method based on a micro-world environment to, first, outline the concepts underlying the different human operator strategies, and second, encapsulate them in a library of artificial agents. These artificial agents are then used as indicators to which human operator behaviours can be compared to assess the reasoning strategy.

Año de publicación:

2002

Keywords:

• Human-machine interface
• Qualitative reasoning
• Supervisory control

Fuente:

scopus