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Drivers’ Age and Automated Vehicle Explanations

Author

Listed:
  • Qiaoning Zhang

    (School of Information, University of Michigan, Ann Arbor, MI 48109, USA)

  • Xi Jessie Yang

    (Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI 48109, USA)

  • Lionel P. Robert

    (School of Information, University of Michigan, Ann Arbor, MI 48109, USA)

Abstract

Automated vehicles (AV) have the potential to benefit our society. Providing explanations is one approach to facilitating AV trust by decreasing uncertainty about automated decision-making. However, it is not clear whether explanations are equally beneficial for drivers across age groups in terms of trust and anxiety. To examine this, we conducted a mixed-design experiment with 40 participants divided into three age groups (i.e., younger, middle-age, and older). Participants were presented with: (1) no explanation, or (2) explanation given before or (3) after the AV took action, or (4) explanation along with a request for permission to take action. Results highlight both commonalities and differences between age groups. These results have important implications in designing AV explanations and promoting trust.

Suggested Citation

  • Qiaoning Zhang & Xi Jessie Yang & Lionel P. Robert, 2021. "Drivers’ Age and Automated Vehicle Explanations," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1948-:d:497745
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    References listed on IDEAS

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    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
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    1. Xiaobei Jiang & Wenlin Yu & Wenjie Li & Jiawen Guo & Xizheng Chen & Hongwei Guo & Wuhong Wang & Tao Chen, 2021. "Factors Affecting the Acceptance and Willingness-to-Pay of End-Users: A Survey Analysis on Automated Vehicles," Sustainability, MDPI, vol. 13(23), pages 1-12, November.
    2. Zehua Li & Jiaran Niu & Zhenzhou Li & Yukun Chen & Yang Wang & Bin Jiang, 2022. "The Impact of Individual Differences on the Acceptance of Self-Driving Buses: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    3. Nemanja Jovanov & Đorđe Vranješ & Goran Jovanov & Goran Otić & Jovica Vasiljević & Željko Petrić & Stojan Aleksić, 2021. "Implementation of the E-Learning Model for Sustainability of Driver Rehabilitation Program," Sustainability, MDPI, vol. 13(20), pages 1-22, October.

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