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2017 | OriginalPaper | Buchkapitel

Identifying the Factors Affecting Automotive Driving Posture and Their Perceived Importance for Seat and Steering Wheel Adjustment

verfasst von : Xuguang Wang, Jeanne Bulle

Erschienen in: Advances in Applied Digital Human Modeling and Simulation

Verlag: Springer International Publishing

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Abstract

The aim of the present study was to identify the factors affecting the driving posture and their order of importance for the postural prediction when using a digital human modelling tool. An experiment was carried out with 35 volunteers testing 5 different vehicles with a clutch pedal, covering a large range of European drivers and passenger vehicle types. The seat and steering wheel positions for each vehicle were first adjusted in a lab condition without riding. Then subjects were asked to drive the vehicle on road for about 5 min. Afterwards, they were asked to fill in a questionnaire in order to know the use of available vehicle interior adjustments and to identify the order of priority of the factors affecting the adjustment of vehicle interior dimensions. Results show that 47 out of 175 person-vehicle combinations (27 %) made at least one re-adjustment during the road driving session, suggesting the stationary lab condition could not fully represent road driving. For 55 of 175 volunteers-vehicle combinations (31.4 %), at least one adjustment was judged too restrictive. As expected, short volunteers complained more frequently than others did. The most important factor considered for adjusting the seat and steering wheel positions was the accessibility of the pedals for all participants. The second most important factor depended on stature group. For tall volunteers, the accessibility of the steering wheel was classified as the second most important, while it was the road visibility for short and average height volunteers. These observations could be helpful not only for identifying possible vehicle interior design issues but also for identifying task priority for driving posture prediction when using a DHM tool.

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Literatur
1.
Zurück zum Zitat Duffy, V.G.: Handbook of digital human modeling: research for applied ergonomics and human factors engineering. CRC Press, Taylor and Francis Group, Boca Raton, FL (2009)CrossRef Duffy, V.G.: Handbook of digital human modeling: research for applied ergonomics and human factors engineering. CRC Press, Taylor and Francis Group, Boca Raton, FL (2009)CrossRef
2.
Zurück zum Zitat Chaffin, D.B.: Improving digital human modeling for proactive ergonomics in design. Ergonomics 48(5), 478–491 (2005)CrossRef Chaffin, D.B.: Improving digital human modeling for proactive ergonomics in design. Ergonomics 48(5), 478–491 (2005)CrossRef
3.
Zurück zum Zitat Peng, J., Wang, X., Denninger, L.: An iterative tasks-priority optimization-based method for predicting driving posture. In: 2nd International Symposium on Digital Human Modelling, Ann Arbor, Michigan, USA, 11–14 June 2013 Peng, J., Wang, X., Denninger, L.: An iterative tasks-priority optimization-based method for predicting driving posture. In: 2nd International Symposium on Digital Human Modelling, Ann Arbor, Michigan, USA, 11–14 June 2013
4.
Zurück zum Zitat Bulle, J.: Experimental investigation on intra- and inter-individual variability in automotive driving postures for their prediction using a digital human model. Doctorat Thesis, Génie mécanique [physics.class-ph]. Université Claude Bernard—Lyon I (2013). https://tel.archives-ouvertes.fr/tel-00948391 Bulle, J.: Experimental investigation on intra- and inter-individual variability in automotive driving postures for their prediction using a digital human model. Doctorat Thesis, Génie mécanique [physics.class-ph]. Université Claude Bernard—Lyon I (2013). https://​tel.​archives-ouvertes.​fr/​tel-00948391
5.
Zurück zum Zitat Speyer, H.J., Pruett, C., Rothaug, H.: RAMSIS: a step-by-step instruction guide for working on evaluation tasks. Human Solutions GmbH, Kaiserslautern (2005) Speyer, H.J., Pruett, C., Rothaug, H.: RAMSIS: a step-by-step instruction guide for working on evaluation tasks. Human Solutions GmbH, Kaiserslautern (2005)
6.
Zurück zum Zitat Bulle, J., Caccia Dominioni, G., Wang, X., Compigne, S.: Comparing RAMSIS driving posture predictions with experimental observations for defining optimum task constraints. In: 2nd International Symposium on digital human modelling, Ann Arbor, Michigan, USA, 11–14 June 2013 Bulle, J., Caccia Dominioni, G., Wang, X., Compigne, S.: Comparing RAMSIS driving posture predictions with experimental observations for defining optimum task constraints. In: 2nd International Symposium on digital human modelling, Ann Arbor, Michigan, USA, 11–14 June 2013
7.
Zurück zum Zitat Reed, M.P., Manary, M.A., Flannagan, C.A.C., Schneider, L.W.: A statistical method for predicting automobile driving posture. Hum Factors: J. Hum. Factors Ergon. Soc. 44(4), 557–568 (2002)CrossRef Reed, M.P., Manary, M.A., Flannagan, C.A.C., Schneider, L.W.: A statistical method for predicting automobile driving posture. Hum Factors: J. Hum. Factors Ergon. Soc. 44(4), 557–568 (2002)CrossRef
Metadaten
Titel
Identifying the Factors Affecting Automotive Driving Posture and Their Perceived Importance for Seat and Steering Wheel Adjustment
verfasst von
Xuguang Wang
Jeanne Bulle
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-41627-4_4