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dc.contributor.authorHarris, D
dc.contributor.authorWilson, M
dc.contributor.authorVine, S
dc.date.accessioned2020-01-03T13:01:08Z
dc.date.issued2019-12-21
dc.description.abstractBackground: Virtual reality (VR) simulation offers significant potential for human factors training as it provides a novel approach which enables training in environments that are otherwise dangerous, impractical or expensive to simulate. While VR training has been adopted in many environments, such as heavy industry, surgery and aviation, there remains an inadequate understanding of how virtual simulations impact cognitive factors. One such factor, which needs careful consideration during the design of VR simulations, is the degree of mental or cognitive load experienced during training. Objective: This study aimed to validate a newly developed measure of workload, based on existing instruments (e.g. the NASA-TLX), but tailored to the specific demands placed on users of simulated environments. Method: While participants completed a VR puzzle game, a series of experimental manipulations of workload were used to assess the sensitivity of the new instrument. Results: The manipulations affected the questionnaire subscales (mental demands; physical demands; temporal demands; frustration; task complexity; situational stress; distraction; perceptual strain; task control; presence) as predicted in all cases (ps<.05), except for presence, which displayed little relationship with other aspects of task load. Conclusions: The scale was also found to have good convergent validity with an alternate index of task load. The findings support the sensitivity of the new instrument for assessing task load in virtual reality. Application: Overall, this study contributes to the understanding of mental workload in simulated environments and provides a practical tool for use in both future research and applications in the field.en_GB
dc.description.sponsorshipRoyal Academy of Engineering (RAE)en_GB
dc.identifier.citationPublished online 21 December 2019en_GB
dc.identifier.doi10.1007/s10055-019-00422-9
dc.identifier.grantnumberICRF1819/2/32en_GB
dc.identifier.urihttp://hdl.handle.net/10871/40222
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.rights© The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/en_GB
dc.subjectworkloaden_GB
dc.subjectcognitive loaden_GB
dc.subjectlearningen_GB
dc.subjectvirtual realityen_GB
dc.subjecttrainingen_GB
dc.titleDevelopment and validation of a simulation workload measure: the simulation task load index (SIM-TLX)en_GB
dc.typeArticleen_GB
dc.date.available2020-01-03T13:01:08Z
dc.identifier.issn1359-4338
dc.descriptionThis is the final version. Available on open access from Springer Verlag via the DOI in this recorden_GB
dc.identifier.eissn1434-9957
dc.identifier.journalVirtual Realityen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dcterms.dateAccepted2019-12-10
exeter.funder::Royal Academy of Engineering (RAE)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-12-10
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-01-03T12:57:17Z
refterms.versionFCDAM
refterms.dateFOA2020-01-29T14:26:08Z
refterms.panelCen_GB


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© The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/