Effects of mobile phone use on driving performance in a multiresource workload scenario.

-back delayed digit recall task Multiple resource theory arrow secondary task human-centered design phone use scenarios resource dimension occupation

Journal

Traffic injury prevention
ISSN: 1538-957X
Titre abrégé: Traffic Inj Prev
Pays: England
ID NLM: 101144385

Informations de publication

Date de publication:
2019
Historique:
pubmed: 1 2 2019
medline: 4 6 2019
entrez: 1 2 2019
Statut: ppublish

Résumé

This study explores the influence of mobile phone secondary tasks on driving from the perspective of visual, auditory, cognitive, and psychomotor (VACP) multiple resource theory, and it is anticipated to benefit the human-centered design of mobile phone use while driving. The present study investigated 6 typical phone use scenarios while driving and analyzed the effects of phone use distractions on driving performance. Thirty-six participants were recruited to participate in this experiment. We abandoned traditional secondary tasks such as conversations or dialing, in which cognitive resources can become interference. Instead, we adopted an arrow secondary task and an n-back delayed digit recall task. The results show that all mobile phone use scenarios have a significant influence on driving performance, especially on lateral vehicle control. The visual plus psychomotor resource occupation scenario demonstrated the greatest deterioration of driving performance, and there was a significant deterioration of driving speed and steering wheel angle once the psychomotor resource was occupied. Phone use distraction leads to visual, cognitive, and/or motor resource functional limitations and thus causes lane violations and traffic accidents.

Identifiants

pubmed: 30702965
doi: 10.1080/15389588.2018.1527468
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

37-44

Auteurs

Jianwei Niu (J)

a Department of Logistic Engineering, School of Mechanical Engineering , University of Science and Technology Beijing , Beijing , China.

Xiai Wang (X)

a Department of Logistic Engineering, School of Mechanical Engineering , University of Science and Technology Beijing , Beijing , China.

Xingguo Liu (X)

a Department of Logistic Engineering, School of Mechanical Engineering , University of Science and Technology Beijing , Beijing , China.

Dan Wang (D)

a Department of Logistic Engineering, School of Mechanical Engineering , University of Science and Technology Beijing , Beijing , China.

Hua Qin (H)

b Department of Industrial Engineering, School of Mechanical-Electronic and Automobile Engineering, Beijing University of Civil Engineering and Architecture , Beijing , China.

Yunhong Zhang (Y)

c China National Institute of Standardization , Beijing , China.

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Classifications MeSH