While extensive research exists on autonomous cars for private use, there is a notable gap in understanding public opinions on autonomous trains. Understanding passengers’ views on a technology that might be available to them in the next decade could highly influence its success. This paper researches factors influencing potential passengers when deciding to ride fully autonomous trains and explores solutions to counteract negative perceptions. To complement the available research on this topic that has been conducted using quantitative methods, this paper describes a multi-method qualitative study combining focus groups and creative problem-solving sessions. Key findings include participants’ distrust in unfamiliar systems and hesitation about the absence of human staff onboard. Proposed ideas include the visible implementation of additional safety features available to the passengers, the adaptation of the train interior to make it more inviting, and the provision of information about the operation of the autonomous trains. This study uncovered different perspectives and concerns related to autonomous railway vehicles, along with solutions that can be implemented to increase passenger trust. However, it also emphasizes the complexity of the topic, illustrating the necessity for additional research.


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    Titel :

    Next Stop: Passenger Perspectives on Autonomous Trains


    Weitere Titelangaben:

    Lect.Notes Computer


    Beteiligte:
    Krömker, Heidi (Herausgeber:in) / Arzer, Andrea (Autor:in) / Beehler, Lauren (Autor:in) / Vredenborg, Marloes (Autor:in)

    Kongress:

    International Conference on Human-Computer Interaction ; 2024 ; Washington DC, USA June 29, 2024 - July 04, 2024



    Erscheinungsdatum :

    01.06.2024


    Format / Umfang :

    23 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Next Stop: Passenger Perspectives on Autonomous Trains

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