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Desirable Backrest Angles in Automated Cars

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HCI International 2021 - Late Breaking Posters (HCII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1498))

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Abstract

This study was conducted to explore the effects of NDRTs (nondriving related tasks) on driving posture. For references on seating postures, the seat back angle was the examined measure. The objective of this study was to conclude if certain NDRTs, like reading and eating, result in specific NDP (nondriving postures). Another aspect of this study was to compare NDPs by drivers doing the same NDRTs when a steering wheel and pedals were present to when there were none. This was done, as in future scenarios there will be no more need of steering wheels and pedals in HAD (highly automated driving) vehicles. Therefore, the seat angle of 30 participants doing ten NDRTs in a modular driving simulator were examined. All NDRTs were performed twice by the participants. Once with the steering wheel and pedals present and once without. The seat angles were collected and analysed using a 2-way factorial repeated measures ANOVA. Following that, a pairwise t-test was conducted to explore correlations between the NDRTs and the differences in having a steering wheel and pedals present or not. The results showed that the absence of a steering wheel and pedals did not have a significant impact on the seat angle. Whereas NDRTs showed a big influence on the seating angle, of which the NDRT “relaxing” resulted in the highest seat back angles and therefore had the strongest influence on the seat back angle within all tasks.

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Acknowledgements

This study was conducted in the context of the project INSAA funded by the Federal Ministry of Education and Research of the Federal Republic of Germany.

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Correspondence to Martin Fleischer .

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Fleischer, M., Wendel, N. (2021). Desirable Backrest Angles in Automated Cars. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1498. Springer, Cham. https://doi.org/10.1007/978-3-030-90176-9_67

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  • DOI: https://doi.org/10.1007/978-3-030-90176-9_67

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90175-2

  • Online ISBN: 978-3-030-90176-9

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