Literature DB >> 17702223

Visual attention in driving: the effects of cognitive load and visual disruption.

Yi-Ching Lee1, John D Lee, Linda Ng Boyle.   

Abstract

OBJECTIVE: This study investigates the effect of cognitive load on guidance of visual attention.
BACKGROUND: Previous studies have shown that cognitive load can undermine driving performance, particularly drivers' ability to detect safety-critical events. Cognitive load combined with the loss of exogenous cues, which can occur when the driver briefly glances away from the roadway, may be particularly detrimental.
METHOD: In each of two experiments, twelve participants engaged in an auditory task while performing a change detection task. A change blindness paradigm was implemented to mask exogenous cues by periodically blanking the screen in a driving simulator while a change occurred. Performance measures included participants' sensitivity to vehicle changes and confidence in detecting them.
RESULTS: Cognitive load uniformly diminished participants' sensitivity and confidence, independent of safety relevance or lack of exogenous cues. Periodic blanking, which simulated glances away from the road-way, undermined change detection to a greater degree than did cognitive load; however, drivers' confidence in their ability to detect changes was diminished more by cognitive load than by periodic blanking.
CONCLUSION: Cognitive load and short glances away from the road are additive in their tendency to increase the likelihood of drivers missing safety-critical events. APPLICATION: This study demonstrates the need to consider the combined consequence of cognitive load and brief glances away from the road in the design of emerging in-vehicle devices and the need to provide drivers with better feedback regarding these consequences.

Entities:  

Mesh:

Year:  2007        PMID: 17702223     DOI: 10.1518/001872007X215791

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  9 in total

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Journal:  Cogn Process       Date:  2007-11-13

Review 2.  Adolescence, attention allocation, and driving safety.

Authors:  Daniel Romer; Yi-Ching Lee; Catherine C McDonald; Flaura K Winston
Journal:  J Adolesc Health       Date:  2014-05       Impact factor: 5.012

3.  Cross-modal warnings for orienting attention in older drivers with and without attention impairments.

Authors:  Monica N Lees; Joshua Cosman; John D Lee; Shaun P Vecera; Jeffrey D Dawson; Matthew Rizzo
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4.  Extended Visual Glances Away from the Roadway are Associated with ADHD- and Texting-Related Driving Performance Deficits in Adolescents.

Authors:  Kathleen M Kingery; Megan Narad; Annie A Garner; Tanya N Antonini; Leanne Tamm; Jeffery N Epstein
Journal:  J Abnorm Child Psychol       Date:  2015-08

5.  Digital haptics improve speed of visual search performance in a dual-task setting.

Authors:  Ruxandra I Tivadar; Rebecca C Arnold; Nora Turoman; Jean-François Knebel; Micah M Murray
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

6.  Distressed in the queue? Psychophysiological and behavioral evidence for two alternative car-following techniques.

Authors:  Antonio Lucas-Alba; Óscar M Melchor; Ana Hernando; Andrés Fernández-Martín; Mª Teresa Blanch-Micó; Andrés S Lombas
Journal:  Transp Res Part F Traffic Psychol Behav       Date:  2020-09-30

7.  Change blindness in simulated driving in individuals with homonymous visual field loss.

Authors:  Garrett Swan; Jing Xu; Vilte Baliutaviciute; Alex Bowers
Journal:  Cogn Res Princ Implic       Date:  2022-05-15

8.  Shared cognitive resources between memory and attention during sound-sequence encoding.

Authors:  Aurélie Bidet-Caulet; Anne Caclin; Salomé Blain; Francesca Talamini; Lesly Fornoni
Journal:  Atten Percept Psychophys       Date:  2022-02-01       Impact factor: 2.199

9.  Assessing Perceptual Load and Cognitive Load by Fixation-Related Information of Eye Movements.

Authors:  Jung-Chun Liu; Kuei-An Li; Su-Ling Yeh; Shao-Yi Chien
Journal:  Sensors (Basel)       Date:  2022-02-04       Impact factor: 3.576

  9 in total

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