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

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

Technology in Society, 2021, vol. 64, issue C

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.

Keywords: Driverless vehicles; Regression; Automation; Consumer perceptions (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x20312793

DOI: 10.1016/j.techsoc.2020.101476

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