Occlusion as a measure for visual workload: an overview of TNO occlusion research in car driving
- PMID: 15145281
- DOI: 10.1016/j.apergo.2003.11.010
Occlusion as a measure for visual workload: an overview of TNO occlusion research in car driving
Abstract
A process-oriented approach by systematically studying driver performance, distraction, and workload is the way to go for assessing safety effects of new telematics applications in vehicles. These systems may strive for drivers' attention and possibly lead to distraction from the primary task. Visual occlusion techniques appear to be an effective means of studying drivers' visual information processing performance. Studies to illustrate this include identifying the minimum visual information drivers need for driving (asking for visual information) and the evaluation of driver support systems such as heading control and adaptive cruise control with respect to visual workload. In other applications the occlusion technique is used to exclude 'visual array' information from the optic flow field. The temporary exclusion of part of the visual field of view was applied in evaluating the effects of different types of driver's side rearview mirrors.
Similar articles
-
An on-road assessment of cognitive distraction: impacts on drivers' visual behavior and braking performance.Accid Anal Prev. 2007 Mar;39(2):372-9. doi: 10.1016/j.aap.2006.08.013. Epub 2006 Oct 19. Accid Anal Prev. 2007. PMID: 17054894 Clinical Trial.
-
Driver's visual attention as a function of driving experience and visibility. Using a driving simulator to explore drivers' eye movements in day, night and rain driving.Accid Anal Prev. 2010 May;42(3):827-34. doi: 10.1016/j.aap.2009.09.022. Accid Anal Prev. 2010. PMID: 20380909
-
Task interruptability and duration as measures of visual distraction.Appl Ergon. 2004 May;35(3):207-13. doi: 10.1016/j.apergo.2003.11.012. Appl Ergon. 2004. PMID: 15145283
-
Visual attention and the transition from novice to advanced driver.Ergonomics. 2007 Aug;50(8):1235-49. doi: 10.1080/00140130701318707. Ergonomics. 2007. PMID: 17558667 Review.
-
Human-factors engineering for smart transport: design support for car drivers and train traffic controllers.Appl Ergon. 2006 Jul;37(4):479-90. doi: 10.1016/j.apergo.2006.04.021. Appl Ergon. 2006. PMID: 16765905 Review.
Cited by
-
Human-like driving behaviour emerges from a risk-based driver model.Nat Commun. 2020 Sep 29;11(1):4850. doi: 10.1038/s41467-020-18353-4. Nat Commun. 2020. PMID: 32994407 Free PMC article.
-
The effect of an occlusion-induced delay on braking behavior in critical situations: A driving simulator study.Hum Factors. 2023 Nov;65(7):1336-1344. doi: 10.1177/00187208221101301. Epub 2022 May 27. Hum Factors. 2023. PMID: 35620977 Free PMC article.
-
Adaptive automation: automatically (dis)engaging automation during visually distracted driving.PeerJ Comput Sci. 2018 Oct 1;4:e166. doi: 10.7717/peerj-cs.166. eCollection 2018. PeerJ Comput Sci. 2018. PMID: 33816819 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical