Journal article
Physiological measurement of anxiety to evaluate performance in simulation training
Cognition, Technology & Work, Vol.16(2), pp.203-210
2014
Abstract
The ability to control emotion is a skill which contributes to performance in the same way as cognitive and technical skills do to the successful completion of high stress operations. The interdependence between emotion, problem-solving and decision-making makes a negative emotion such as anxiety of interest in evaluating trainee performance in simulations which replicate stressful work conditions. Self-report measures of anxiety require trainees to interrupt the simulation experience to either complete psychological scales or make verbal reports of state anxiety. An uninterrupted, continuous measure of anxiety is, therefore, preferable for simulation environments. During this study, the anxiety levels of trainee pilots were tracked via electromyography, eye movements and pupillometry while undertaking required tasks in a flight simulation. Fixation duration and saccade rate corresponded reliably to pilot self-reports of anxiety, while pupil size and saccade amplitude did not show a strong comparison to changes in affective state. Large increases in muscle activation where recorded when higher anxiety was reported. The results suggest that a combination of physiological measures could provide a robust, continuous indicator of anxiety level. The implications of the current study on further development of physiological measures to support tracking anxiety as a tool for simulation training assessment are discussed.
Details
- Title
- Physiological measurement of anxiety to evaluate performance in simulation training
- Authors
- Jennifer Tichon (Author) - University of QueenslandGuy Wallis (Author) - University of QueenslandTimothy Mavin (Author) - Griffith UniversityStephan Riek (Author) - University of Queensland
- Publication details
- Cognition, Technology & Work, Vol.16(2), pp.203-210
- Publisher
- Springer UK
- DOI
- 10.1007/s10111-013-0257-8
- ISSN
- 1435-5566
- Organisation Unit
- Graduate Research School; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99472605602621
- Output Type
- Journal article
Metrics
14 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Engineering, Industrial
- Ergonomics
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites