Software for advanced HRV analysis Software for advanced HRV analysis
| Autor: | Fairclough, Stephen H, Venables, Louise, Green, Christopher D, Joel, S, Capability, Performance, Matthews, Gerald, Campbell, Sian E, Florida, Central, Niskanen, Juha-pekka, Tarvainen, Mika P, Ranta-aho, Perttu O, Karjalainen, Pasi A, Philosophy, Doctor O F, Psychology, Human Factors, Robert, G, Hockey, J, Sian, E, Taylor, Publisher, Teo, G., Reinerman-Jones, L., Szalma, J., Jentsch, F., Hudson, I., Hancock, P. A. |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Zdroj: | 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, Campbell, S E, Teo, G, Reinerman-Jones, L, Matthews, G, Szalma, J, Jentsch, F, Hudson, I & Hancock, P A 2017, Software for advanced HRV analysis Software for advanced HRV analysis . in Proceedings of the Human Factors and Ergonomics Society . Proceedings of the Human Factors and Ergonomics Society, vol. 2017-Octob, pp. 2042-2046 . https://doi.org/10.1177/1541931213601989 |
| DOI: | 10.1177/1541931213601989 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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