Enacting into Reality: Using User Enactment to Explore the Future of Autonomous Vehicle Design

Self-driving vehicles have been heralded as a dramatic new advancement in personal mobility. This emerging technology, beyond potentially improving driving safety, also represents a redefined relationship between the human driver and the vehicle. As this artificial intelligence-based vehicular technology becomes more intelligent, conventional interaction design methodologies may be challenged in their ability to fully encompass this redefined relationship. This problem may be even more pronounced for specific populations like older adults (60+) whose perspectives, we argue, have been underexplored in the self-driving vehicle context. Within this report we describe an emerging methodology, user enactment, and explore its use as a generative design process in two studies focused on older adults. This work adds additional support to the contention that user enactment may be an effective methodological tool for researchers in exploring the relationship between humans and intelligent technologies.

• Record URL:
  • https://doi.org/10.1177/1071181320641373
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21695067
• Supplemental Notes:
  • © 2020 by Human Factors and Ergonomics Society.
• Authors:
  • Huff, Earl W
  • Zhang, Mengyuan
  • Brinkley, Julian
• Publication Date: 2020-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1561-1565
• Serial:
  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Volume: 64
  • Issue Number: 1
  • Publisher: Sage Publications, Incorporated
  • ISSN: 2169-5067
  • EISSN: 1071-1813
  • Serial URL: http://journals.sagepub.com/home/pro

Subject/Index Terms

• TRT Terms: Artificial intelligence; Autonomous vehicles; Human factors; Human machine systems; Vehicle design
• Subject Areas: Design; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01768727
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 29 2021 12:07PM