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

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HCI in Mobility, Transport, and Automotive Systems (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14733))

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Abstract

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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The authors have no competing interests to declare that are relevant to the content of this article.

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Acknowledgments

This work has been partially funded by the European Commission in the program “HORIZON.4.2—Reforming and enhancing the European R&I System” under the topic “HORIZONWIDERA-2022-ERA-01–80—Living Lab for gender-responsive innovation” as part of the project “GILL—Gendered Innovation Living Labs”, grant agreement ID 101094812. The responsibility for all content supplied lies with the authors.

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Authors and Affiliations

  1. Fraunhofer IAO, Nobelstraße 12, 70569, Stuttgart, Germany

    Nina Hieber, Diana Fischer-Pressler & Janika Kutz

  2. Frankfurt University of Applied Sciences, Nibelungenplatz 1, 60318, Frankfurt Am Main, Germany

    Diana Fischer-Pressler

  3. University of Kaiserslautern- Landau, Erwin-Schrödinger-Straße 57, 67663, Kaiserslautern, Germany

    Janika Kutz

  4. Hochschule Heilbronn, Max-Planck-Street 39, 74081, Heilbronn, Germany

    Monika Pröbster & Nicola Marsden

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  1. Nina Hieber
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Correspondence to Nina Hieber .

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  1. Technische Universitat Ilmenau, Ilmenau, Germany

    Heidi Krömker

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Hieber, N., Fischer-Pressler, D., Pröbster, M., Kutz, J., Marsden, N. (2024). Beyond Acceptance Models: The Role of Social Perceptions in Autonomous Public Transportation Acceptance. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2024. Lecture Notes in Computer Science, vol 14733. Springer, Cham. https://doi.org/10.1007/978-3-031-60480-5_2

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  • DOI: https://doi.org/10.1007/978-3-031-60480-5_2

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