Take-over requests during highly automated driving: How should they be presented and under what conditions?

Even with highly automated driving, there will exist the occasional need for a human driver to resume control. The design of take-over requests (TOR) and the driving scenario upon their presentation are factors that can be expected to determine the effective resumption of vehicle control. The authors conducted a driving simulator study in the laboratory that examined how either an abstract or skeuomorphic TOR design influenced driving resumption, given different conditions of road curvature and time headway. The authors found that drivers react faster and more accurately when experiencing a skeuomorphic visualisation of a TOR prompt compared to an abstract interface, especially when there is less time headway. Moreover, participants reported subjective preferences for the skeuomorphic TOR design and considered them to be more intuitively comprehensible. Furthermore, more accurate TOR responses were found when TORs of lateral control were presented before longitudinal control. Based on these results, the authors formulated five conclusions relating to the design of take-over requests. These conclusions should be validated in more realistic settings. However, in the future, they could be the basis for more research developing design guidelines that could create safe and reliable communications between drivers and vehicles.

• Record URL:
  • https://doi.org/10.1016/j.trf.2019.08.023
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1369847817300104
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Brandenburg, Stefan
  • Chuang, Lewis
• Publication Date: 2019-10

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: pp 214-225
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 66
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Driver performance; Driver vehicle interfaces; Drivers; Geometric design; Guidelines; Level 3 driving automation; Level 4 driving automation; Manual control
• Subject Areas: Data and Information Technology; Design; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01719298
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 11 2019 4:52PM