Test Procedure for Evaluating the Human–Machine Interface of Vehicles with Automated Driving Systems

The human–machine interface (HMI) is a crucial part of every automated driving system (ADS). In the near future, it is likely that—depending on the operational design domain (ODD)—different levels of automation will be available within the same vehicle. The capabilities of a given automation level as well as the operator’s responsibilities must be communicated in an appropriate way. To date, however, there are no agreed-upon evaluation methods that can be used by human factors practitioners as well as researchers to test this. The authors developed an iterative test procedure that can be applied during the product development cycle of ADS. The test procedure is specifically designed to evaluate whether minimum requirements as proposed in NHTSA’s automated vehicle policy are met. The proposed evaluation protocol includes (a) a method to identify relevant use cases for testing on the basis of all theoretically possible steady states and mode transitions of a given ADS; (b) an expert-based heuristic assessment to evaluate whether the HMI complies with applicable norms, standards, and best practices; and (c) an empirical evaluation of ADS HMIs using a standardized design for user studies and performance metrics. Each can be used as a stand-alone method or in combination to generate objective, reliable, and valid evaluations of HMIs, focusing on whether they meet minimum requirements. However, the authors also emphasize that other evaluation aspects such as controllability, misuse, and acceptance are not within the scope of the evaluation protocol.

• Record URL:
  • https://doi.org/10.1080/15389588.2019.1603374
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/49192340
• Supplemental Notes:
  • © 2019 The Author(s). Published with license by Taylor & Francis Group, LLC. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Naujoks, Frederik
  • Hergeth, Sebastian
  • Wiedemann, Katharina
  • Schömig, Nadja
  • Forster, Yannick
  • Keinath, Andreas
• Conference:
  • 26th International Technical Conference on the Enhanced Safety of Vehicles (ESV): Technology: Enabling a Safer Tomorrow
  • Location: Eindhoven , Netherlands
  • Date: 2019-6-10 to 2019-6-13
• Publication Date: 2019-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp S146-S151
• Serial:
  • Traffic Injury Prevention
  • Volume: 20
  • Issue Number: sup1
  • Publisher: Taylor & Francis
  • ISSN: 1538-9588
  • Serial URL: http://www.tandf.co.uk/journals/titles/15389588.html

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driver vehicle interfaces; Driving automation levels; Human factors engineering; Intelligent vehicles; Performance measurement; Technology assessment
• Subject Areas: Highways; Research; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01717034
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 18 2019 9:16AM