Analyzing Behaviorial Data for Refining Cognitive Models of Operator

Author

Georgeon, Olivier ; Mille, Alain ; Bellet, Thirry

Author_Institution

Lab. Ergonomie et Sci. Cognitives pour les Transports, l´´Institut Nat. de Recherche sur les Transports et leur Securite, Bron

fYear

0

fDate

0-0 0

Firstpage

588

Lastpage

592

Abstract

We present a methodology and a tool for analyzing the activity of an operator interacting with a complex technical device. The goal is of refining cognitive models of the operator by relating them to patterns of behavior in real situations. The activity is observed to he modeled as a trace having a graph structure. The trace is transformed according to metadata in order to become meaningful in the context of modeling theories. Our "trace based system" thus gathers both a representation of the activity and a representation of the analyst\´s expertise, for facilitating the discovery of knowledge in the field of cognitive psychology. The approach is illustrated by its application for car driver cognitive modeling

Keywords

behavioural sciences computing; data mining; meta data; psychology; activity representation; behavior patterns; behavioral data; cognitive models; cognitive psychology; graph structure; knowledge discovery; metadata; trace based system; Cognitive science; Context modeling; Data analysis; Databases; Environmental economics; Ergonomics; Expert systems; Production facilities; Psychology; Usability;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on

Conference_Location

Krakow

ISSN

1529-4188

Print_ISBN

0-7695-2641-1

Type

conf

DOI

10.1109/DEXA.2006.27

Filename

1698411