학술논문

Modeling Fault Diagnosis in a Dynamic Process Control Task Using a Multivariate Lens Model
Document Type
Article
Source
Proceedings of the Human Factors and Ergonomics Society Annual Meeting; October 2001, Vol. 45 Issue: 4 p414-418, 5p
Subject
Language
ISSN
10711813; 21695067
Abstract
In this research, we modeled fault identification performance in a dynamic process control task using a multivariate Lens Model. This research demonstrates how multivariate Lens Model can be applied to capture dynamic aspects and policies of individuals when they are making judgments over multiple criteria - in this case, multiple categories of faults. Results and modeling analysis to date indicate that such a model may be applicable to such decisions, and sensitive to differences in performance under certain conditions.

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