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Identifying the factors that predict a Consumer's willingness to ride in various types of driverless vehicles

Author

Listed:
  • Rice, Stephen
  • Winter, Scott R.
  • Mehta, Rian
  • Tamilselvan, Gajapriya
  • Anania, Emily C.
  • Milner, Mattie N.

Abstract

The current study provides data about the type of person who may be willing to ride in a driverless vehicle considering six different vehicle types. Participants from the United States were provided with hypothetical scenarios about riding in various driverless vehicles. Across two data collection sessions, they rated emotional responses to the scenarios, along with the willingness to ride. They also provided information about the familiarity, complexity, fun, and value of driverless vehicles. Regression analyses revealed seven of the 13 predictors were significant for at least one type of vehicle. Happiness and fear were significant for all vehicle types. The model fit between the two datasets was strong. These data provide a base for manufacturers attempting to match their vehicles with consumers.

Suggested Citation

  • Rice, Stephen & Winter, Scott R. & Mehta, Rian & Tamilselvan, Gajapriya & Anania, Emily C. & Milner, Mattie N., 2021. "Identifying the factors that predict a Consumer's willingness to ride in various types of driverless vehicles," Technology in Society, Elsevier, vol. 64(C).
  • Handle: RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20312793
    DOI: 10.1016/j.techsoc.2020.101476
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    References listed on IDEAS

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    1. Ian Savage, 1993. "Demographic Influences on Risk Perceptions," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 413-420, August.
    2. Christine R. Harris & Michael Jenkins & Dale Glaser, 2006. "Gender differences in risk assessment: Why do women take fewer risks than men?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 1, pages 48-63, July.
    3. repec:aph:ajpbhl:10.2105/ajph.2016.303628_6 is not listed on IDEAS
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    6. Fleetwood, J., 2017. "Public health, ethics, and autonomous vehicles," American Journal of Public Health, American Public Health Association, vol. 107(4), pages 532-537.
    7. Babin, Barry J. & Attaway, Jill S., 2000. "Atmospheric Affect as a Tool for Creating Value and Gaining Share of Customer," Journal of Business Research, Elsevier, vol. 49(2), pages 91-99, August.
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    Cited by:

    1. Schuster, Amy M. & Agrawal, Shubham & Britt, Noah & Sperry, Danielle & Van Fossen, Jenna A. & Wang, Sicheng & Mack, Elizabeth A. & Liberman, Jessica & Cotten, Shelia R., 2023. "Will automated vehicles solve the truck driver shortages? Perspectives from the trucking industry," Technology in Society, Elsevier, vol. 74(C).
    2. Hamburger, Yair Amichai & Sela, Yaron & Kaufman, Sharon & Wellingstein, Tamar & Stein, Noy & Sivan, Joel, 2022. "Personality and the autonomous vehicle: Overcoming psychological barriers to the driverless car," Technology in Society, Elsevier, vol. 69(C).

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