Software for advanced HRV analysis Software for advanced HRV analysis

Stephen H Fairclough, Louise Venables, Christopher D Green, S Joel, Performance Capability, Gerald Matthews, Sian E Campbell, Central Florida, Juha-pekka Niskanen, Mika P Tarvainen, Perttu O Ranta-aho, Pasi A Karjalainen, Doctor O F Philosophy, Human Factors Psychology, G Robert, J Hockey, E Sian, Publisher Taylor, Gerald Matthews, Sian E CampbellG. Teo, L. Reinerman-Jones, Gerald Matthews, J. Szalma, F. Jentsch, I. Hudson, P. A. Hancock

    Research output: Chapter in Book/Report/Published conference proceedingChapter

    Abstract

    The study of performance, workload, and stress have become a mainstay in the field of Human Factors. These constructs are multi-faceted and are assessed by a variety of measures. In seeking to enhance performance by managing mental workload and stress, it is important for measures to be anchored to meaningful criteria. Workload and stress must be considered with respect to the performance measures that address the most central objectives. While workload and stress research has progressed over the years and includes research across different levels and domains, there has been less effort to link measures to specific performance outcomes. The present study examined four performance metrics from the same task in terms of the workload and stress measures that are most closely associated with, and predictive of them. Results indicated that different sets of workload and stress measures predicted different performance measures, suggesting that measures should also be selected based on the performance criteria of interest.
    Original languageEnglish
    Title of host publicationProceedings of the Human Factors and Ergonomics Society
    Pages2042-2046
    Number of pages5
    DOIs
    Publication statusPublished - 20 Oct 2017

    Publication series

    NameProceedings of the Human Factors and Ergonomics Society
    Volume2017-Octob

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  • Cite this

    Fairclough, S. H., Venables, L., Green, C. D., Joel, S., Capability, P., Matthews, G., Campbell, S. E., Florida, C., Niskanen, J., Tarvainen, M. P., Ranta-aho, P. O., Karjalainen, P. A., Philosophy, D. O. F., Psychology, H. F., Robert, G., Hockey, J., Sian, E., Taylor, P., Matthews, G., ... Hancock, P. A. (2017). Software for advanced HRV analysis Software for advanced HRV analysis. In Proceedings of the Human Factors and Ergonomics Society (pp. 2042-2046). (Proceedings of the Human Factors and Ergonomics Society; Vol. 2017-Octob). https://doi.org/10.1177/1541931213601989