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Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode
As automated vehicles become more common, there is a need for precise measurement and definition of when and in what ways a driver can use a mobile phone in L2 autonomous driving mode, for how long it can be used, the complexity of the call content, and the accumulated mental workload. This study us...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546873/ https://www.ncbi.nlm.nih.gov/pubmed/36207431 http://dx.doi.org/10.1038/s41598-022-17419-1 |
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author | Zhao, Hongfei Ma, Jinfei Zhang, Yijing Chang, Ruosong |
author_facet | Zhao, Hongfei Ma, Jinfei Zhang, Yijing Chang, Ruosong |
author_sort | Zhao, Hongfei |
collection | PubMed |
description | As automated vehicles become more common, there is a need for precise measurement and definition of when and in what ways a driver can use a mobile phone in L2 autonomous driving mode, for how long it can be used, the complexity of the call content, and the accumulated mental workload. This study uses a 2 (driving mode) × 2 (call content complexity) × 6 (driving stage) three-factor mixed experimental design to investigate the effect of these factors on the driver's mental workload by measuring the driver's performance on Detection response tasks, pupil diameter, and EEG components in various brain regions in the alpha band. The results showed that drivers' mental workload levels converge between manual and automatic driving modes as the duration of driving increases, regardless of the level of complexity of the mobile phone conversation. This suggests that mobile phone conversations can also disrupt the driver's cognitive resource balance in L2 automatic driving mode, as it increases mental workload while also impairing the normal functioning of brain functions such as cognitive control, problem solving, and judgment, thereby compromising driving safety. |
format | Online Article Text |
id | pubmed-9546873 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95468732022-10-09 Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode Zhao, Hongfei Ma, Jinfei Zhang, Yijing Chang, Ruosong Sci Rep Article As automated vehicles become more common, there is a need for precise measurement and definition of when and in what ways a driver can use a mobile phone in L2 autonomous driving mode, for how long it can be used, the complexity of the call content, and the accumulated mental workload. This study uses a 2 (driving mode) × 2 (call content complexity) × 6 (driving stage) three-factor mixed experimental design to investigate the effect of these factors on the driver's mental workload by measuring the driver's performance on Detection response tasks, pupil diameter, and EEG components in various brain regions in the alpha band. The results showed that drivers' mental workload levels converge between manual and automatic driving modes as the duration of driving increases, regardless of the level of complexity of the mobile phone conversation. This suggests that mobile phone conversations can also disrupt the driver's cognitive resource balance in L2 automatic driving mode, as it increases mental workload while also impairing the normal functioning of brain functions such as cognitive control, problem solving, and judgment, thereby compromising driving safety. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546873/ /pubmed/36207431 http://dx.doi.org/10.1038/s41598-022-17419-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhao, Hongfei Ma, Jinfei Zhang, Yijing Chang, Ruosong Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode |
title | Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode |
title_full | Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode |
title_fullStr | Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode |
title_full_unstemmed | Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode |
title_short | Mental workload accumulation effect of mobile phone distraction in L2 autopilot mode |
title_sort | mental workload accumulation effect of mobile phone distraction in l2 autopilot mode |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546873/ https://www.ncbi.nlm.nih.gov/pubmed/36207431 http://dx.doi.org/10.1038/s41598-022-17419-1 |
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