The future of public transportation is on the verge of a transformative leap due to advances in automation and artificial intelligence. However, for (semi-)autonomous electric buses (AEBs) to reach their full potential in public transport, widespread public adoption is crucial. While acceptance models like UTAUT and TAM emphasize rational factors, our study uncovers the overlooked societal perceptions shaping AEB acceptance. Leveraging the Stereotype Content Model (SCM), we reveal nuanced attitudes towards AEB users and non-users. Our findings suggest that societal perceptions, often driven by automatic processes, significantly influence acceptance beyond rational considerations. Bridging this gap between technological innovation and social acceptability is pivotal for fostering inclusive, sustainable urban transport infrastructures.


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    Titel :

    Beyond Acceptance Models: The Role of Social Perceptions in Autonomous Public Transportation Acceptance


    Weitere Titelangaben:

    Lect.Notes Computer


    Beteiligte:
    Krömker, Heidi (Herausgeber:in) / Hieber, Nina (Autor:in) / Fischer-Pressler, Diana (Autor:in) / Pröbster, Monika (Autor:in) / Kutz, Janika (Autor:in) / Marsden, Nicola (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 :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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