What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective

Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, the authors employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, they organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners.

• Record URL:
  https://doi.org/10.1016/j.techfore.2020.120319
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0040162520311458
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00401625
• Supplemental Notes:
  • © 2020 Ilja Nastjuk et al. Published by Elsevier Inc. Abstract reprinted with permission of Elsevier.
• Authors:
  • Nastjuk, Ilja
  • Herrenkind, Bernd
  • Marrone, Mauricio
  • Brendel, Alfred Benedikt
  • Kolbe, Lutz M
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 120319
• Serial:
  • Technological Forecasting and Social Change
  • Volume: 161
  • Issue Number: 0
  • Publisher: Elsevier Science Publishing Company, Incorporated
  • ISSN: 0040-1625
  • Serial URL: http://www.sciencedirect.com/science/journal/00401625

Subject/Index Terms

• TRT Terms: Acceptance; Autonomous vehicles; Driving
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01761691
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 30 2020 11:53AM