Literature DB >> 15521695

Eye movements during intentional car following.

David Crundall1, Claire Shenton, Geoffrey Underwood.   

Abstract

Does intentional car following capture visual attention to the extent that driving may be impaired? We tested fifteen participants on a rudimentary driving simulator. Participants were either instructed to follow a vehicle ahead through a simulated version of London, or were given verbal instructions on where to turn during the route. The presence or absence of pedestrians, and the simulated time of the drive (day or night) were varied across the trials. Eye movements were recorded along with behavioural measures including give-way violations, give-way accidents, and kerb impacts. The results revealed that intentional car following reduced the spread of search and increased fixation durations, with a dramatic increase in the time spent processing the vehicle ahead (controlled for exposure). The effects were most pronounced during nighttime drives. During the car-following trials participants were also less aware of pedestrians, produced more give-way violations, and were involved in more give-way accidents. The results draw attention to the problems encountered during car following, and we relate this to the cognitive demands placed on drivers, especially police drivers who often engage in intentional car following and pursuits.

Entities:  

Mesh:

Year:  2004        PMID: 15521695     DOI: 10.1068/p5105

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  7 in total

1.  Age-dependent visual exploration during simulated day- and night driving on a motorway: a cross-sectional study.

Authors:  Prabitha Urwyler; Nicole Gruber; René M Müri; Michael Jäger; Rahel Bieri; Thomas Nyffeler; Urs P Mosimann; Tobias Nef
Journal:  BMC Geriatr       Date:  2015-02-28       Impact factor: 3.921

2.  Mobile Eye Tracking During Real-World Night Driving: A Selective Review of Findings and Recommendations for Future Research.

Authors:  Markus Grüner; Ulrich Ansorge
Journal:  J Eye Mov Res       Date:  2017-03-15       Impact factor: 0.957

3.  Dynamic scan paths investigations under manual and highly automated driving.

Authors:  Jordan Navarro; Otto Lappi; François Osiurak; Emma Hernout; Catherine Gabaude; Emanuelle Reynaud
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

4.  Eye tracking use in researching driver distraction: A scientometric and qualitative literature review approach.

Authors:  Tina Cvahte Ojstersek; Darja Topolsek
Journal:  J Eye Mov Res       Date:  2019-09-30       Impact factor: 0.957

5.  Utilization of Drivers' Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways.

Authors:  Hangtian Li; Songfang Xie; Feng Yang; Yang Lu; Shoulin Zhu
Journal:  Front Neurosci       Date:  2022-06-07       Impact factor: 5.152

Review 6.  Peripheral vision in real-world tasks: A systematic review.

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

7.  The neural basis of hazard perception differences between novice and experienced drivers - An fMRI study.

Authors:  Seifollah Gharib; Arash Zare-Sadeghi; Seyed Abolfazl Zakerian; Mohsen Reza Haidari
Journal:  EXCLI J       Date:  2020-05-04       Impact factor: 4.068

  7 in total

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