Fluid Interface Concept for Automated Driving

The biggest challenge for a human-machine interface in highly automated vehicles is to provide enough information to the potentially unaware human operator to induce an appropriate response avoiding cognitive overload. Current interface design struggles to provide timely and relevant information tailored for future driver’s needs. Therefore, a new human-centered approach is required to connect drivers, vehicles and infrastructures and account for non-driving related activities in the forthcoming automated vehicles. A viable solution derives from a holistic approach that merges technological tools with human factors knowledge, to enable the understanding and resolution of potential usability, trust and acceptance issues. In this paper, the human factors challenges introduced by automated driving provide the starting point for the conceptualization of a new Fluid interface. The requirements for the new concept are derived from a systematic analysis of the necessary interactions among driver, vehicle and environment. Therefore, the characteristics, components and functions of the interface are described at a theoretical level and compared to alternative solutions.

• Record URL:
  https://doi.org/10.1007/978-3-030-50523-3
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030505226
• Supplemental Notes:
  • © Springer Nature Switzerland AG 2020.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Pretto, Paolo
  • Mörtl, Peter
  • Neuhuber, Norah
• Conference:
  • 22nd HCI International Conference (HCII 2020)
  • Location: Copenhagen , Denmark
  • Date: 2020-7-19 to 2020-7-24
• Publication Date: 2020-7

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 114-130
• Monograph Title: HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design: Second International Conference, MobiTAS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I
• Serial:
  • Lecture Notes in Computer Science
  • Volume: 12212
  • Publisher: Springer Cham
  • ISSN: 0302-9743
  • Serial URL: https://www.springer.com/series/558

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driver vehicle interfaces; Human factors engineering; System design
• Subject Areas: Data and Information Technology; Design; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01884479
• Record Type: Publication
• ISBN: 9783030505226
• Files: TRIS
• Created Date: Jun 2 2023 12:14PM