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Acceptance Of Artificial Intelligence In Cars: A Survey Approach

  • Co-Author: Prof. Jason Dana (Yale University)
  • Published as:Dana, J. & Strobel, C. (2021). Acceptance of Artificial Intelligence in Cars: A Survey Approach. In: Stephanidis C. et al. (eds) HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence. HCII 2021. Lecture Notes in Computer Science, vol 13095.
  • Keywords: Online Survey, MTurk, Own-Other Difference, Concerns
  • Download: Paper (working version)

Project Details

Self-driving vehicle technologies increasingly assume more responsibilities from human drivers. In this project we examine the acceptance of various automated systems utilized in partially and fully autonomous cars. Additionally, we investigates whether there is a disparity in acceptance levels between personal usage and the desired usage by others. Our survey revealed that the majority of participants expressed a high or very high level of acceptance towards partially automated systems. However, when it comes to full automation, the acceptance rate declines significantly. Furthermore, for approximately half of the systems, there is no substantial difference in acceptance between personal usage and the desired usage by others.