Exploring the self-regulation of secondary task engagement in the context of partially automated driving: A pilot study

During partially automated driving (level 2 in SAE, 2014), an increase in drivers’ engagement in secondary tasks was observed even though drivers still need to monitor the road and take over in a timely manner in critical situations. In this situation, how drivers would strategically schedule secondary task processing according to the hazard monitoring demand remains unclear. This paper presents a pilot study applying a simple vigilance task to simulate the monitoring condition during a partially automated driving session. The authors gained insights on how drivers voluntarily schedule secondary task processing according to the current and anticipatory monitoring demand on a structured three-level manna. Results indicated that participants’ anticipation of a higher hazard event rate or a higher urgency level could promote more attention to monitoring the hazard. Furthermore, when the expectation of an upcoming hazard increased, participants allocated more attention to discharge the surveillance role. Finally, a descriptive test-engage-wait-exit model indicated that participants tended to disengage from the secondary task with the anticipation of a more urgent hazard but to continue the secondary task with frequent switching-back for a less urgent hazard.

• Record URL:
  • https://doi.org/10.1016/j.trf.2019.05.005
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S136984781830576X
• 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:
  • Lin, Rui
  • Liu, Na
  • Ma, Liang
  • Zhang, Tingru
  • Zhang, Wei
  • 0000-0002-8208-3342
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 147-160
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 64
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Attention; Level 2 driving automation; Multitasking; Pilot studies; Vigilance
• Uncontrolled Terms: Secondary tasks; Self-regulation
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 01707574
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 5 2019 2:20PM