Automated driving (AD) has the potential to change our mobility by giving us back the riding time for our free disposal. Since this aims at a broad base of customers, the people using such technology can strongly differ. Differences can comprise for instance prior AD experience, driving frequency, or physical impairments. In this paper, we investigate which effects these user characteristics have on the preferences regarding displayed surrounding traffic information. We do so by using a moving-base simulator study with 58 participants. We found that drivers with experience with automatic cruise control perceive information regarding surrounding traffic as significantly less important, while users with higher driving frequency or sight impair found them significantly more important. For theory this implicates that different user interfaces for different users are ideal and personalization can foster user experience.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Individual Traffic Information Preferences in User Interfaces for Automated Driving - A Driving Simulator Study


    Contributors:


    Publication date :

    2022-06-05


    Size :

    1669341 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Designing User Interfaces for Automated Driving: A Simulator Study on Individual Information Preferences

    Driesen-Micklitz, Tim / Fellmann, Michael / Rocker, Carsten | IEEE | 2024


    Driving Simulator Study: Eco-Driving Training System Based on Individual Characteristics

    Yao, Ying / Zhao, Xiaohua / Ma, Jianming et al. | Transportation Research Record | 2019


    Modular driving simulator and traffic simulation

    Espie, S. | British Library Conference Proceedings | 1997


    Exploring the Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study

    Haselberger, Johann / Bohle, Maximilian / Schick, Bernhard et al. | IEEE | 2025

    Free access

    Automotive steering system preferences evaluated using a driving simulator

    Rodriguez, J. / Freeman, P. T. / Wagner, J. et al. | Online Contents | 2016