Literature DB >> 24218908

The impact of eye movements and cognitive workload on lateral position variability in driving.

Joel M Cooper1, Nathan Medeiros-Ward, David L Strayer.   

Abstract

OBJECTIVE: The objective of this work was to understand the relationship between eye movements and cognitive workload in maintaining lane position while driving.
BACKGROUND: Recent findings in driving research have found that, paradoxically, increases in cognitive workload decrease lateral position variability. If people drive where they look and drivers look more centrally with increased cognitive workload, then one could explain the decreases in lateral position variability as a result of changes in lateral eye movements. In contrast, it is also possible that cognitive workload brings about these patterns regardless of changes in eye movements.
METHOD: We conducted three experiments involving a fixed-base driving simulator to independently manipulate eye movements and cognitive workload.
RESULTS: Results indicated that eye movements played a modest role in lateral position variability, whereas cognitive workload played a much more substantial role.
CONCLUSIONS: Increases in cognitive workload decrease lane position variability independently from eye movements. These findings are discussed in terms of hierarchical control theory. APPLICATIONS: These findings could potentially be used to identify periods of high cognitive workload during driving.

Entities:  

Mesh:

Year:  2013        PMID: 24218908     DOI: 10.1177/0018720813480177

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


  6 in total

1.  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

2.  Demonstrating Brain-Level Interactions Between Visuospatial Attentional Demands and Working Memory Load While Driving Using Functional Near-Infrared Spectroscopy.

Authors:  Jakob Scheunemann; Anirudh Unni; Klas Ihme; Meike Jipp; Jochem W Rieger
Journal:  Front Hum Neurosci       Date:  2019-01-23       Impact factor: 3.169

3.  A Novel Classification Method for a Driver's Cognitive Stress Level by Transferring Interbeat Intervals of the ECG Signal to Pictures.

Authors:  Jing Huang; Xiong Luo; Xiaoyan Peng
Journal:  Sensors (Basel)       Date:  2020-02-29       Impact factor: 3.576

4.  Predicting takeover response to silent automated vehicle failures.

Authors:  Callum Mole; Jami Pekkanen; William Sheppard; Tyron Louw; Richard Romano; Natasha Merat; Gustav Markkula; Richard Wilkie
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

Review 5.  Peripheral vision in real-world tasks: A systematic review.

Authors:  Christian Vater; Benjamin Wolfe; Ruth Rosenholtz
Journal:  Psychon Bull Rev       Date:  2022-05-17

6.  Effects of verbal tasks on driving simulator performance.

Authors:  Jonathan C Rann; Amit Almor
Journal:  Cogn Res Princ Implic       Date:  2022-02-04
  6 in total

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