A proposed methodology for the theory-based prediction of mental workload with a cognitive architecture

Seongsik Jo, Rohae Myung, Daesub Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the early stage of system development, a prototype that is adequate for testing will be unavailable; then, it would be difficult to empirically predict mental workload through various measures. For this reason, task analytic methods based on task analysis probably have been the most popular for predicting mental workload though they are somewhat task-specific. A theory-based cognitive architecture could directly represent an operator's cognitive processes and make predictions for cognitive activity in general situations at the sub-second scale. In this study, a methodology to predict the mental workload with a cognitive architecture is proposed. In empirical results, subjective measures of the mental workload with NASA-TLX were well matched with model predictions. It is suggested that the proposed method could be generally applied to predict mental workload in an early design phase.

Original languageEnglish
Title of host publicationProceedings of the Human Factors and Ergonomics Society
Pages1941-1945
Number of pages5
Volume3
DOIs
Publication statusPublished - 2010 Dec 1
Event54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010 - San Francisco, CA, United States
Duration: 2010 Sep 272010 Oct 1

Other

Other54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
CountryUnited States
CitySan Francisco, CA
Period10/9/2710/10/1

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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    Jo, S., Myung, R., & Yoon, D. (2010). A proposed methodology for the theory-based prediction of mental workload with a cognitive architecture. In Proceedings of the Human Factors and Ergonomics Society (Vol. 3, pp. 1941-1945) https://doi.org/10.1518/107118110X12829370263403