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A meta-analysis of simulator sickness as a function of simulator fidelity
Driving simulators are an increasingly important tool to develop vehicle functionalities and to study driver or passenger responses. A major hindrance to the use and validity of such studies is Simulator Sickness (SS). Several studies have suggested a positive relation between improvements in simula...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678991/ https://www.ncbi.nlm.nih.gov/pubmed/36260094 http://dx.doi.org/10.1007/s00221-022-06485-6 |
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author | de Winkel, Ksander N. Talsma, Tessa M. W. Happee, Riender |
author_facet | de Winkel, Ksander N. Talsma, Tessa M. W. Happee, Riender |
author_sort | de Winkel, Ksander N. |
collection | PubMed |
description | Driving simulators are an increasingly important tool to develop vehicle functionalities and to study driver or passenger responses. A major hindrance to the use and validity of such studies is Simulator Sickness (SS). Several studies have suggested a positive relation between improvements in simulator fidelity and the likelihood of sickness. We hypothesized that this relation only holds true for static (fixed-base) simulators, and that increased fidelity in fact reduces simulator sickness in dynamic (moving-base) simulators. We performed a meta-analysis investigating the relation between sickness and fidelity in static and dynamic systems. A literature search yielded a total of 41 simulator studies that varied aspects of mechanical and/or visual fidelity and assessed SS for the same driving conditions and the same or equivalent participant groups. Evaluation of a model synthesizing the findings of these studies indicates that SS decreases with visual fidelity, and suggests that this effect may be negated for static simulators. The results of the modeling efforts thereby provide some support for the hypothesis that increased fidelity can reduce SS in dynamic simulators. Based on the evaluation of the literature we also note particular shortcomings and gaps in available research. Finally, we make recommendations for specific experiments that may fill these gaps and allow definitive conclusions on the role of simulator fidelity in SS. |
format | Online Article Text |
id | pubmed-9678991 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96789912022-11-23 A meta-analysis of simulator sickness as a function of simulator fidelity de Winkel, Ksander N. Talsma, Tessa M. W. Happee, Riender Exp Brain Res Review Driving simulators are an increasingly important tool to develop vehicle functionalities and to study driver or passenger responses. A major hindrance to the use and validity of such studies is Simulator Sickness (SS). Several studies have suggested a positive relation between improvements in simulator fidelity and the likelihood of sickness. We hypothesized that this relation only holds true for static (fixed-base) simulators, and that increased fidelity in fact reduces simulator sickness in dynamic (moving-base) simulators. We performed a meta-analysis investigating the relation between sickness and fidelity in static and dynamic systems. A literature search yielded a total of 41 simulator studies that varied aspects of mechanical and/or visual fidelity and assessed SS for the same driving conditions and the same or equivalent participant groups. Evaluation of a model synthesizing the findings of these studies indicates that SS decreases with visual fidelity, and suggests that this effect may be negated for static simulators. The results of the modeling efforts thereby provide some support for the hypothesis that increased fidelity can reduce SS in dynamic simulators. Based on the evaluation of the literature we also note particular shortcomings and gaps in available research. Finally, we make recommendations for specific experiments that may fill these gaps and allow definitive conclusions on the role of simulator fidelity in SS. Springer Berlin Heidelberg 2022-10-19 2022 /pmc/articles/PMC9678991/ /pubmed/36260094 http://dx.doi.org/10.1007/s00221-022-06485-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review de Winkel, Ksander N. Talsma, Tessa M. W. Happee, Riender A meta-analysis of simulator sickness as a function of simulator fidelity |
title | A meta-analysis of simulator sickness as a function of simulator fidelity |
title_full | A meta-analysis of simulator sickness as a function of simulator fidelity |
title_fullStr | A meta-analysis of simulator sickness as a function of simulator fidelity |
title_full_unstemmed | A meta-analysis of simulator sickness as a function of simulator fidelity |
title_short | A meta-analysis of simulator sickness as a function of simulator fidelity |
title_sort | meta-analysis of simulator sickness as a function of simulator fidelity |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678991/ https://www.ncbi.nlm.nih.gov/pubmed/36260094 http://dx.doi.org/10.1007/s00221-022-06485-6 |
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