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Advancing Adaptive Decision-Making for Intelligent Cockpit Layouts: Exploring Preferred and Sensitive Joint Angles Across Multi-Type Vehicles

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Design, User Experience, and Usability (HCII 2024)

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Abstract

Understanding the driver's driving posture demand is a crucial prerequisite for achieving adaptive layout decision-making in intelligent cockpits, including preferred joint angles and sensitive joint angles (acceptable posture changes). However, differences in anthropometric characteristics across racial populations and the lack of field research limit the application of relevant conclusions to the Chinese driver. This study conducted a field test, inviting 90 participants (60 males) with typical body characteristics of Chinese drivers to perform real driving tasks in three occupant package layouts (Sedan, SUV, and MPV). The study utilized motion capture and post-image marking methods to obtain six major joint angles in the sagittal plane of the human body. A two-way mixed ANOVA was employed to assess the impact of gender and OPL factors on preferred and sensitive joint angles. The results indicated that, for the preferred driving posture, both gender and OPL factors had significant main effects on elbow, trunk, and thigh angle. Regarding sensitive joint angles, gender significantly affected elbow and shoulder angles, while OPL significantly affected elbow, shoulder, hip, thigh, and calf angles. This study extensively explored the driving posture preferences of Chinese drivers of different genders in various typical passenger vehicles, providing crucial guidance for future dynamic layout adaptive decisions in automotive intelligent cockpit.

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Acknowledgments

This study is supported by National Natural Science Foundation of China (Grant 52302497), Horizontal Research Program—Predictive Modeling of Driving Posture Comfort 357344(H20211680).

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Authors and Affiliations

  1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China

    Chengmou Li, Yang Yu, Yingzhang Wu, Jialin Liu, Wenbo Li & Gang Guo

  2. China Automotive Engineering Research Institute Co., Ltd., Chongqing, 400039, China

    Baiyu Chen

  3. Chongqing Changan Automobile Corporation Ltd., Chongqing, 401133, China

    Jiarui Chen

Authors
  1. Chengmou Li
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  2. Yang Yu
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  3. Baiyu Chen
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  4. Jiarui Chen
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  5. Yingzhang Wu
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  6. Jialin Liu
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  7. Wenbo Li
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  8. Gang Guo
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Corresponding author

Correspondence to Wenbo Li .

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Editors and Affiliations

  1. Principal, Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  2. World Usability Day and Bubble Mountain, Newton Center, MA, USA

    Elizabeth Rosenzweig

  3. Federal University of Pernambuco, Ananindeua, Pernambuco, Brazil

    Marcelo M. Soares

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Li, C. et al. (2024). Advancing Adaptive Decision-Making for Intelligent Cockpit Layouts: Exploring Preferred and Sensitive Joint Angles Across Multi-Type Vehicles. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2024. Lecture Notes in Computer Science, vol 14713. Springer, Cham. https://doi.org/10.1007/978-3-031-61353-1_13

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  • DOI: https://doi.org/10.1007/978-3-031-61353-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61352-4

  • Online ISBN: 978-3-031-61353-1

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