This paper explores the perception and acceptance of autonomous vehicles (AVs) and the potential influence of different naming choices on public attitudes. Understanding how people perceive AVs becomes crucial in promoting their acceptance. This study examines three different naming options for AVs as “Autonomous,”“Self-Driving,” and “Driverless” vehicles, to investigate their impact on public perception. Key research questions include whether various names affect attitudes toward AVs, which demographic groups show more favorable or unfavorable responses to different naming choices, and individuals’ reactions concerning interest in riding in AVs, feeling safer with friends, sharing rides with strangers if information about them is provided, and perceived helpfulness of these vehicles for travel needs. This work employs binary probit models and an ordered probit model to tackle the research questions. In addition, a multivariate (quadrivariate) ordered probit model is formulated to address correlations between responses from the same respondents. Results show that the effect of wording indeed exists, mostly under the term “Self-Driving,” which was found to be the one preferred over “Driverless” and “Autonomous,” in that order. Age, gender, ethnicity, ridepooling experience, and walking or biking for work and non-work trips were found to be statistically significant as predictors for usage of AVs. Also, the results of the multivariate model reveal that certain estimates deviate from the individual models’ findings, thus corroborating the assumption that disregarding correlations between responses of the same individuals may lead to the risk of drawing inaccurate conclusions.
Volakakis et al. (Thu,) studied this question.