Analyzing behavioral data for refining cognitive models of operator

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 be modeled as a trace having a graph structure. The trace is transformed according to a "use model" in order to become meaningful in the context of modeling theories. Our "Trace Based System" thus gathers both a representation of the activity and 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.
Document type :
Conference papers
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01536643
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Monday, June 12, 2017 - 10:26:33 AM
Last modification on : Tuesday, February 26, 2019 - 3:46:42 PM
Document(s) archivé(s) le : Thursday, September 14, 2017 - 12:27:56 PM

File

Liris-2375.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01536643, version 1

Citation

Olivier L. Georgeon, Alain Mille, Thierry Bellet. Analyzing behavioral data for refining cognitive models of operator. IEEE Computer Society. Philosophies and Methodologies for Knowledge Discovery, Seventeenth International Workshop on Database and Expert Systems Applications, Sep 2006, Krakow, Poland. pp.588-592, 2006, Proceedings - Seventeenth International Conference on Database and Expert Systems Applications (DEXA 2006). 〈hal-01536643〉

Share

Metrics

Record views

222

Files downloads

38