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Research on the Influence of Automotive Instrumentation HMI Design on Driving Behavior

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Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14012))

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  • 3 Citations

Abstract

Instrument HMI is an interface directly related to driving behavior, and the interaction experience between humans and instrument HMI directly affects the safety and comfort of driving activities. Nowadays, there are various types of automotive instrumentation HMI designs with complex interface elements and numerous display data. Different design styles of HMI information display priorities will inevitably have an impact on the interaction experience of actual driving activities. This study aims to investigate the interface design factors affecting driving behavior in automotive instrumentation HMI, and design experiments based on these factors to explore the most suitable interface design guidelines for driver cognition. In this paper, a comparison experiment with controlled variables was used to randomly ask questions to the driver during the driving simulation, and the time required for the driver to answer the questions reflected the degree of influence of different HMI designs on driving behaviors. This is a quantitative analysis to investigate the impact of HMI on driving behavior. The final conclusions are provided for the two main components of HMI, namely, resident display information and temporary display information.

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Author information

Authors and Affiliations

  1. Nanjing University of Science and Technology, Nanjing, 210094, China

    Fanmin Meng, Zhixin Wu & Zihao Jia

Authors
  1. Fanmin Meng
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  2. Zhixin Wu
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  3. Zihao Jia
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Corresponding author

Correspondence to Fanmin Meng .

Editor information

Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Meng, F., Wu, Z., Jia, Z. (2023). Research on the Influence of Automotive Instrumentation HMI Design on Driving Behavior. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14012. Springer, Cham. https://doi.org/10.1007/978-3-031-35599-8_31

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  • DOI: https://doi.org/10.1007/978-3-031-35599-8_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35598-1

  • Online ISBN: 978-3-031-35599-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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