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Digital Human Modelling Driver Posture Evaluation in Combination with Direct Vision Assessment
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Socio-TEchnicAl SysteMs Engineering (STEAM))ORCID iD: 0000-0002-0125-0832
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Socio-TEchnicAl SysteMs Engineering (STEAM))ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Socio-TEchnicAl SysteMs Engineering (STEAM))ORCID iD: 0000-0002-3129-7076
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.ORCID iD: 0000-0003-0746-9816
2026 (English)In: Advances in Digital Human Modeling III: Proceedings of the 10th International Digital Human Modeling Symposium, DHM 2026, July 1-3, 2026, Maribor, Slovenia / [ed] Gregor Harih; Vasja Plesec, Cham: Springer, 2026, p. 276-291Conference paper, Published paper (Refereed)
Abstract [en]

This study explores and demonstrates how driver posture prediction simulation can be combined with direct vision assessment in order to evaluate direct vision for drivers with diverse body size. A DHM tool is used to iteratively test seat and steering wheel configurations to find a comfortable posture for 58 different manikins, and then perform vision analysis of the external environment around the vehicle. The presented study should not be used as a basis for any vehicle design but should be seen as a demonstration of a proposed simulation process. The study indicates that when different simulation and assessment methods are combined a more comprehensive analysis of the driver ergonomics can be achieved during the vehicle design process. Even though the suggested approach is time consuming and will test a lot of non-acceptable configurations, it can give answers to what would happen if the size and position of the adjustment ranges would change.

Place, publisher, year, edition, pages
Cham: Springer, 2026. p. 276-291
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 2173
Keywords [en]
Driver posture prediction, Direct vision, Manikin family
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Socio-TEchnicAl SysteMs Engineering (STEAM)
Identifiers
URN: urn:nbn:se:his:diva-26963DOI: 10.1007/978-3-032-30159-8_24ISI: 001858252400024Scopus ID: 2-s2.0-105048240536ISBN: 978-3-032-30158-1 (print)ISBN: 978-3-032-30159-8 (electronic)OAI: oai:DiVA.org:his-26963DiVA, id: diva2:2092813
Conference
10th International Digital Human Modeling Symposium, DHM 2026, July 1-3, 2026, Maribor, Slovenia
Projects
Adjungering lektor Virtual Engineering IPS AB (AVEIPS) 
Funder
Knowledge Foundation
Note

© 2026 The Author(s), under exclusive license to Springer Nature Switzerland AG

This work has been made possible with support from the Knowledge Foundation in the AVEIPS project and by the participating organizations. This support is gratefully acknowledged.

Available from: 2026-08-17 Created: 2026-08-17 Last updated: 2026-09-21Bibliographically approved

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Brolin, ErikHögberg, DanIriondo Pascual, AitorPerez Luque, Estela

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CiteExportLink to record
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Citation style
  • apa
  • apa-cv
  • ieee
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  • vancouver
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Language
  • de-DE
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  • Other locale
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Output format
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