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What drives people crazy about self-driving cars and what they think others should do: A survey approach

  • Co-Author: Prof. Jason Dana (Yale University)
  • Keywords: Online Survey, MTurk, Own-Other Difference, Concerns

Project Details

Self-driving-vehicle technologies take over more and more tasks from human drivers. This explorative study analyzes the acceptance of different automated systems used in partly and fully autonomous cars as well as whether there is a difference between the level of acceptance for someone's own use or the desired usage by others. The survey reports answers from 199 respondents to an online questionnaire run on Amazon Mechanical Turk (MTurk). The majority of respondents express a high or very high acceptance rate for partly automated systems, however, when it comes to full automation the acceptance rate drops significantly. Moreover, the acceptance rate for roughly half of the systems does not differ significantly for own usage and the desired usage by others.

"The questions examine several key topics related to autonomous and self-driving vehicles such as longitudinal control, lateral control, perception and object analysis, vehicle-to-vehicle communication, cloud learning, and actuation. Results show that people do not like to use almost autonomous systems, but they prefer others to use them."

Presented at: 12th IMPRS Uncertainty Topics Workshop