Modeling the workload-performance relationship

Daniel N. Cassenti, Troy D. Kelley, Richard A. Carlson

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

11 Scopus citations

Abstract

Human factors research is often focused on the mental workload that is required to perform a task or set of tasks with the goal of reducing workload to make systems easier to manage. The Improved Performance Research Integration Tool (IMPRINT) includes an algorithm to predict mental workload. The algorithm was developed using subject matter expert ratings of workload tasks. We aimed to enhance this capability by developing algorithms using data from four new studies investigating change in performance as demands on mental resources increase. The results indicate three task types of similar difficulty and one task type of much greater difficulty. We then map these to our hypothesized workload function. Finally, we propose a way forward in modeling performance as a function of workload in IMPRINT.

Original languageEnglish (US)
Title of host publication54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
Pages1684-1688
Number of pages5
DOIs
StatePublished - Dec 1 2010
Event54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010 - San Francisco, CA, United States
Duration: Sep 27 2010Oct 1 2010

Publication series

NameProceedings of the Human Factors and Ergonomics Society
Volume3
ISSN (Print)1071-1813

Other

Other54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010
CountryUnited States
CitySan Francisco, CA
Period9/27/1010/1/10

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics

Fingerprint Dive into the research topics of 'Modeling the workload-performance relationship'. Together they form a unique fingerprint.

  • Cite this

    Cassenti, D. N., Kelley, T. D., & Carlson, R. A. (2010). Modeling the workload-performance relationship. In 54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010 (pp. 1684-1688). (Proceedings of the Human Factors and Ergonomics Society; Vol. 3). https://doi.org/10.1518/107118110X12829370090045