Literature DB >> 33385962

Evaluating driver eye glance behavior and secondary task engagement while using driving automation systems.

Alexandria M Noble1, Melissa Miles2, Miguel A Perez3, Feng Guo4, Sheila G Klauer5.   

Abstract

Partial driving automation systems are designed to assist drivers in some vehicle operation demands. However, modifications to the driving task that change the driver's role from that of an active participant to a passive supervisor could result in insufficient monitoring of the driving automation system and the surrounding environment. A reduced subset of driving data for 19 drivers from the Virginia Connected Corridors 50 Elite Naturalistic Driving Study was used to assess whether driver eye glance behavior and secondary task engagement were different when driver assistance systems were active compared to when they were available but inactive (n = 148). The results of this study demonstrate that drivers spent more time looking away from the road while driving automation systems were active and that drivers were more likely to be observed browsing on their cell phones while using driving automation systems. Current driving automation features require human monitoring of automation, yet the drivers of these automation-equipped vehicles are inclined to engage in secondary tasks and take longer and more frequent glances away from the roadway. It is possible that performance effects, such as omission errors or delayed reactions, may occur as a result of drivers' substandard monitoring of the driving scene.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Driver behavior; Driver distraction; Driving automation systems; Eye glance behavior; Naturalistic Driving Study; Secondary task

Mesh:

Year:  2020        PMID: 33385962     DOI: 10.1016/j.aap.2020.105959

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  The Effects of Dynamic Complexity on Drivers' Secondary Task Scanning Behavior under a Car-Following Scenario.

Authors:  Linhong Wang; Hongtao Li; Mengzhu Guo; Yixin Chen
Journal:  Int J Environ Res Public Health       Date:  2022-02-08       Impact factor: 3.390

2.  Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode.

Authors:  Hongfei Zhao; Jinfei Ma; Yijing Zhang; Ruosong Chang
Journal:  Sci Rep       Date:  2022-10-07       Impact factor: 4.996

  2 in total

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