Merat, N orcid.org/0000-0003-4140-9948, Jamson, AH, Lai, FCH et al. (1 more author) (2012) Highly Automated Driving, Secondary Task Performance, and Driver State. Human Factors, 54 (5). pp. 762-771. ISSN 0018-7208
Abstract
Objective: a driving simulator study compared the effect of changes in workload on performance in manual and highly automated driving. Changes in driver state were also observed by examining variations in blink patterns. Background: With the addition of a greater number of advanced driver assistance systems in vehicles, the driver’s role is likely to alter in the future from an operator in manual driving to a supervisor of highly automated cars. Understanding the implications of such advancements on drivers and road safety is important. Method: a total of 50 participants were recruited for this study and drove the simulator in both manual and highly automated mode. As well as comparing the effect of adjustments in driving-related workload on performance, the effect of a secondary Twenty Questions Task was also investigated. Results: in the absence of the secondary task, drivers’ response to critical incidents was similar in manual and highly automated driving conditions. The worst performance was observed when drivers were required to regain control of driving in the automated mode while distracted by the secondary task. Blink frequency patterns were more consistent for manual than automated driving but were generally suppressed during conditions of high workload. Conclusion: highly automated driving did not have a deleterious effect on driver performance, when attention was not diverted to the distracting secondary task. Application: as the number of systems implemented in cars increases, an understanding of the implications of such automation on drivers’ situation awareness, workload, and ability to remain engaged with the driving task is important.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2012, Human Factors and Ergonomics Society. This is an author produced version of a paper published in Human Factors. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | blink duration; blink frequency; vehicle automation; driver behavior |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2016 14:29 |
Last Modified: | 18 Jan 2018 17:42 |
Published Version: | http://dx.doi.org/10.1177/0018720812442087 |
Status: | Published |
Publisher: | SAGE Publications |
Identification Number: | 10.1177/0018720812442087 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:86236 |