Estimating (human) cognitive states in a human-machine system: a fuzzy modeling approach

Author

Ntuen, Celestine A.

Author_Institution

North Carolina A&T State Univ., Greensboro, NC, USA

fYear

1998

fDate

22-25 Mar 1998

Firstpage

209

Lastpage

213

Abstract

A fuzzy model for evaluating and estimating the human operator states in a human machine system is proposed. The major parts of the model consist of subjective evaluation of the human `perception´ of task, the translation of the subjective data to fuzzy membership functions, and the application of an intuitive heuristic to determine the desired operator states. The model efficacy is demonstrated by experimenting with the human operator cognitive states in a pursuit tracking task

Keywords

cognitive systems; fuzzy set theory; human factors; interactive systems; man-machine systems; user modelling; fuzzy membership functions; fuzzy modeling approach; human cognitive state estimation; human machine system; human operator cognitive states; human operator states; human perception; intuitive heuristic; model efficacy; operator states; pursuit tracking task; subjective data; subjective evaluation; Automation; Computerized monitoring; Fuzzy systems; Humans; Inspection; Intelligent sensors; Man machine systems; Performance evaluation; Psychology; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Human Interaction with Complex Systems, 1998. Proceedings., Fourth Annual Symposium on

Conference_Location

Dayton, OH

Print_ISBN

0-8186-8341-4

Type

conf

DOI

10.1109/HUICS.1998.659989

Filename

659989