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Tourists’ perceptions of robots in passenger transport

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  • Webster, Craig
  • Ivanov, Stanislav

Abstract

In this article, the authors investigate the way that the public views automation technologies and their usage in tourist transportation based on data from a large-scale international survey. The authors explore the use of robots for the provision of information with regards to travel, the use of autonomous vehicles, and other robot-delivered transport-related tasks. The findings indicate that the perceived reliability, safety, and usefulness of the use of robots for transport play a major role in impacting perceptions of the appropriateness of using robots for different purposes. The findings also indicate that no demographic characteristics, apart from gender, seem to play any role in conditioning perceptions of the appropriateness of using robots in the field of transportation.

Suggested Citation

  • Webster, Craig & Ivanov, Stanislav, 2021. "Tourists’ perceptions of robots in passenger transport," Technology in Society, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21001950
    DOI: 10.1016/j.techsoc.2021.101720
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    References listed on IDEAS

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    1. Cohen, Scott A. & Hopkins, Debbie, 2019. "Autonomous vehicles and the future of urban tourism," Annals of Tourism Research, Elsevier, vol. 74(C), pages 33-42.
    2. Ivanov, Stanislav & Webster, Craig & Garenko, Aleksandra, 2018. "Young Russian adults' attitudes towards the potential use of robots in hotels," Technology in Society, Elsevier, vol. 55(C), pages 24-32.
    3. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    4. Sangseok You & Jeong-Hwan Kim & Sanghyun Lee & Vineet Kamat & Lionel Robert, 2018. "Enhancing Perceived Safety in Human–Robot Collaborative Construction Using Immersive Virtual Environments," Working Papers hal-02895952, HAL.
    5. You, Sangseok & Kim, Jeong-Hwan & Lee, SangHyun & Kamat, Vineet & Robert, Lionel, 2018. "Enhancing perceived safety in human–robot collaborative construction using immersive virtual environments," HEC Research Papers Series 1308, HEC Paris.
    6. Jannusch, Tim & Shannon, Darren & Völler, Michaele & Murphy, Finbarr & Mullins, Martin, 2021. "Cars and distraction: How to address the limits of Driver Monitoring Systems and improve safety benefits using evidence from German young drivers," Technology in Society, Elsevier, vol. 66(C).
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Lee, Yi-Ching & Momen, Ali & LaFreniere, Jennifer, 2021. "Attributions of social interactions: Driving among self-driving vs. conventional vehicles," Technology in Society, Elsevier, vol. 66(C).
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    Cited by:

    1. Penmetsa, Praveena & Okafor, Sunday & Adanu, Emmanuel & Hudnall, Matthew & Ramezani, Somayeh Bakhtiari & Holiday, Steven & Jones, Steven, 2023. "How is automated and self-driving vehicle technology presented in the news media?," Technology in Society, Elsevier, vol. 74(C).
    2. Wilk-Jakubowski, Grzegorz & Harabin, Radoslaw & Ivanov, Stanislav, 2022. "Robotics in crisis management: A review," Technology in Society, Elsevier, vol. 68(C).

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