Human performance reliability: On-line assessment using fuzzy logic

Authors

William J. Kolarik, Oklahoma State UniversityFollow
Jeffrey C. Woldstad, University of Nebraska-LincolnFollow
Susan Lu, SUNY BinghamtonFollow
Huitian Lu, South Dakota State UniversityFollow

Date of this Version

2004

Comments

Published in IIE Transactions 36 (2004), pp. 457–467; doi: 10.1080/07408170490426161 Copyright © 2004 “IIE” Used by permission.

Abstract

This paper presents an on-line approach to monitoring human performance in terms of conditional reliability when one is performing a task. Unlike traditional human reliability analysis, this approach develops a dynamic model that is able to cope with constantly changing conditions that affect operator performance. A fuzzy knowledge-based assessment approach is developed in order to deal with uncertainty and subjectivity associated with human performance assessment. This technology includes three main parts/functions: (i) on-line performance monitoring; (ii) real-time performance forecasting; and (iii) performance reliability assessment. The technology is demonstrated in real-time and provides timely conditioned reliability information regarding task success/failure. In general, this technology offers human reliability assessment under highly dynamic circumstances.