Literature DB >> 24689258

Lane keeping under cognitive load: performance changes and mechanisms.

Jibo He, Jason S McCarley, Arthur F Kramer.   

Abstract

OBJECTIVE: A pair of simulated driving experiments studied the effects of cognitive load on drivers' lane-keeping performance.
BACKGROUND: Cognitive load while driving often reduces the variability of lane position. However, there is no agreement as to whether this effect should be interpreted as a performance loss, consistent with other effects of distraction on driving, or as an anomalous performance gain.
METHOD: Participants in a high-fidelity driving simulator performed a lane-keeping task in lateral wind,with instructions to keep a steady lane position. Under high load conditions, participants performed a concurrent working memory task with auditory stimuli. Cross-spectral analysis measured the relationship between wind force and steering inputs.
RESULTS: Cognitive load reduced the variability of lane position and increased the coupling between steering wheel position and crosswind strength.
CONCLUSION: Although cognitive load disrupts driver performance in a variety of ways, it produces a performance gain in lane keeping.This effect appears to reflect drivers' efforts to protect lateral control against the risk of distraction, at the apparent neglect of other elements of driving performance. APPLICATION: Results may inform educational efforts to help drivers understand the risks of distraction and the inadequacies of compensatory driving strategies.

Entities:  

Mesh:

Year:  2014        PMID: 24689258     DOI: 10.1177/0018720813485978

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


  6 in total

1.  Detecting and Quantifying Mind Wandering during Simulated Driving.

Authors:  Carryl L Baldwin; Daniel M Roberts; Daniela Barragan; John D Lee; Neil Lerner; James S Higgins
Journal:  Front Hum Neurosci       Date:  2017-08-08       Impact factor: 3.169

2.  Driver's Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China.

Authors:  Nengchao Lyu; Lian Xie; Chaozhong Wu; Qiang Fu; Chao Deng
Journal:  Int J Environ Res Public Health       Date:  2017-02-17       Impact factor: 3.390

3.  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

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

5.  Cerebral haemodynamics during simulated driving: Changes in workload are detectable with functional near infrared spectroscopy.

Authors:  Peter M Bloomfield; Hayden Green; Nicholas Gant
Journal:  PLoS One       Date:  2021-03-12       Impact factor: 3.240

6.  Mobile Phone Use "on the Road": A Self-Report Study on Young Drivers.

Authors:  Angelo Fraschetti; Pierluigi Cordellieri; Giulia Lausi; Emanuela Mari; Elena Paoli; Jessica Burrai; Alessandro Quaglieri; Michela Baldi; Alessandra Pizzo; Anna Maria Giannini
Journal:  Front Psychol       Date:  2021-08-16
  6 in total

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