Low-level predictors of team performance and success

Heather C. Lum, Valerie K. Sims, Eduardo Salas

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

Abstract

Low level cognitive measures were examined in the context of team performance and success. Specifically, eye tracking and vocal analysis were examined at the individual level to determine if this type of measurement could be used to predict team performance. The team consisted of 3 undergraduate participants who performed a simulated military planning task. The team had to work together to complete military objectives by rescuing refugees, and moving resources and military aids to different locations. Team performance and success were measured by number of objectives met and amount of time to design and execute the team plan. A stepwise linear regression analysis was run at both the team level and team variability for all operations. The results of the study suggest that low level measures such as eye movements and vocal analyses may be helpful in understanding computer mediated team processing.

Original languageEnglish (US)
Title of host publicationProceedings of the Human Factors and Ergonomics Society 55th Annual Meeting, HFES 2011
Pages1457-1461
Number of pages5
DOIs
StatePublished - Nov 28 2011
Event55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011 - Las Vegas, NV, United States
Duration: Sep 19 2011Sep 23 2011

Publication series

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

Other

Other55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011
CountryUnited States
CityLas Vegas, NV
Period9/19/119/23/11

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics

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  • Cite this

    Lum, H. C., Sims, V. K., & Salas, E. (2011). Low-level predictors of team performance and success. In Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting, HFES 2011 (pp. 1457-1461). (Proceedings of the Human Factors and Ergonomics Society). https://doi.org/10.1177/1071181311551303