Bibliometric study and critical individual literature review of driving behavior analysis methods based on brain imaging from 1993 to 2022
Brain imaging methods have effectively revealed drivers' underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction. With research no longer limited to indirect inferences about external behavior, some resea...
Ausführliche Beschreibung
Autor*in: |
Yunjie Ju [verfasserIn] Feng Chen [verfasserIn] Xiaonan Li [verfasserIn] Dong Lin [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Übergeordnetes Werk: |
In: Journal of Traffic and Transportation Engineering (English ed. Online) - KeAi Communications Co., Ltd., 2015, 10(2023), 5, Seite 762-786 |
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Übergeordnetes Werk: |
volume:10 ; year:2023 ; number:5 ; pages:762-786 |
Links: |
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DOI / URN: |
10.1016/j.jtte.2023.07.004 |
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Katalog-ID: |
DOAJ096809612 |
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520 | |a Brain imaging methods have effectively revealed drivers' underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction. With research no longer limited to indirect inferences about external behavior, some researchers combine behavior and driver brain activity to understand the human factors in driving essentially. However, most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used. This paper aims to review and analyze the application of brain imaging methods in driving behavior research, including bibliometric analysis and an individual critical literature review. Regarding bibliometric analysis, this field's knowledge structure and development trend are described macroscopically, using data such as annual distribution of publications, country/region statistics and partnerships, publication sources, literature co-citation analysis, and keyword co-occurrence analysis. In a review of the individual critical literature, eight research themes were identified that examined driving behavior using brain imaging methods: substance consumption, fatigue or sleep deprivation, workload, distraction, aging brains, brain impairment and other diseases, automated/semi-automated environments, emotions influence and risk-taking, and general driving process. In addition, the study reports on six brain imaging methods and their advantages and disadvantages, involving electroencephalography (EEG), functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), positron emission tomography (PET), and transcranial magnetic stimulation (TMS). The contribution of this study is twofold. The first part relates to providing the researchers with a comprehensive understanding of the field's knowledge structure and development trends. The second part goes beyond reviewing and analyzing previous studies, and the discussion section points out the directions and challenges for future research. | ||
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10.1016/j.jtte.2023.07.004 doi (DE-627)DOAJ096809612 (DE-599)DOAJ28f9f430b4974b8e91c4841236c9245d DE-627 ger DE-627 rakwb eng TA1001-1280 Yunjie Ju verfasserin aut Bibliometric study and critical individual literature review of driving behavior analysis methods based on brain imaging from 1993 to 2022 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Brain imaging methods have effectively revealed drivers' underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction. With research no longer limited to indirect inferences about external behavior, some researchers combine behavior and driver brain activity to understand the human factors in driving essentially. However, most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used. This paper aims to review and analyze the application of brain imaging methods in driving behavior research, including bibliometric analysis and an individual critical literature review. Regarding bibliometric analysis, this field's knowledge structure and development trend are described macroscopically, using data such as annual distribution of publications, country/region statistics and partnerships, publication sources, literature co-citation analysis, and keyword co-occurrence analysis. In a review of the individual critical literature, eight research themes were identified that examined driving behavior using brain imaging methods: substance consumption, fatigue or sleep deprivation, workload, distraction, aging brains, brain impairment and other diseases, automated/semi-automated environments, emotions influence and risk-taking, and general driving process. In addition, the study reports on six brain imaging methods and their advantages and disadvantages, involving electroencephalography (EEG), functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), positron emission tomography (PET), and transcranial magnetic stimulation (TMS). The contribution of this study is twofold. The first part relates to providing the researchers with a comprehensive understanding of the field's knowledge structure and development trends. The second part goes beyond reviewing and analyzing previous studies, and the discussion section points out the directions and challenges for future research. Driving behavior analysis Brain imaging methods Bibliometric analysis Human factors Transportation engineering Feng Chen verfasserin aut Xiaonan Li verfasserin aut Dong Lin verfasserin aut In Journal of Traffic and Transportation Engineering (English ed. Online) KeAi Communications Co., Ltd., 2015 10(2023), 5, Seite 762-786 (DE-627)822098679 (DE-600)2817145-7 25890379 nnns volume:10 year:2023 number:5 pages:762-786 https://doi.org/10.1016/j.jtte.2023.07.004 kostenfrei https://doaj.org/article/28f9f430b4974b8e91c4841236c9245d kostenfrei http://www.sciencedirect.com/science/article/pii/S2095756423000995 kostenfrei https://doaj.org/toc/2095-7564 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 10 2023 5 762-786 |
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Bibliometric study and critical individual literature review of driving behavior analysis methods based on brain imaging from 1993 to 2022 |
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Brain imaging methods have effectively revealed drivers' underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction. With research no longer limited to indirect inferences about external behavior, some researchers combine behavior and driver brain activity to understand the human factors in driving essentially. However, most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used. This paper aims to review and analyze the application of brain imaging methods in driving behavior research, including bibliometric analysis and an individual critical literature review. Regarding bibliometric analysis, this field's knowledge structure and development trend are described macroscopically, using data such as annual distribution of publications, country/region statistics and partnerships, publication sources, literature co-citation analysis, and keyword co-occurrence analysis. In a review of the individual critical literature, eight research themes were identified that examined driving behavior using brain imaging methods: substance consumption, fatigue or sleep deprivation, workload, distraction, aging brains, brain impairment and other diseases, automated/semi-automated environments, emotions influence and risk-taking, and general driving process. In addition, the study reports on six brain imaging methods and their advantages and disadvantages, involving electroencephalography (EEG), functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), positron emission tomography (PET), and transcranial magnetic stimulation (TMS). The contribution of this study is twofold. The first part relates to providing the researchers with a comprehensive understanding of the field's knowledge structure and development trends. The second part goes beyond reviewing and analyzing previous studies, and the discussion section points out the directions and challenges for future research. |
abstractGer |
Brain imaging methods have effectively revealed drivers' underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction. With research no longer limited to indirect inferences about external behavior, some researchers combine behavior and driver brain activity to understand the human factors in driving essentially. However, most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used. This paper aims to review and analyze the application of brain imaging methods in driving behavior research, including bibliometric analysis and an individual critical literature review. Regarding bibliometric analysis, this field's knowledge structure and development trend are described macroscopically, using data such as annual distribution of publications, country/region statistics and partnerships, publication sources, literature co-citation analysis, and keyword co-occurrence analysis. In a review of the individual critical literature, eight research themes were identified that examined driving behavior using brain imaging methods: substance consumption, fatigue or sleep deprivation, workload, distraction, aging brains, brain impairment and other diseases, automated/semi-automated environments, emotions influence and risk-taking, and general driving process. In addition, the study reports on six brain imaging methods and their advantages and disadvantages, involving electroencephalography (EEG), functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), positron emission tomography (PET), and transcranial magnetic stimulation (TMS). The contribution of this study is twofold. The first part relates to providing the researchers with a comprehensive understanding of the field's knowledge structure and development trends. The second part goes beyond reviewing and analyzing previous studies, and the discussion section points out the directions and challenges for future research. |
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Brain imaging methods have effectively revealed drivers' underlying psychological and neural processes when they perform driving tasks and promote driving behavior research in a more scientific direction. With research no longer limited to indirect inferences about external behavior, some researchers combine behavior and driver brain activity to understand the human factors in driving essentially. However, most researchers in the field of driving behavior still have little understanding of how brain imaging methods are used. This paper aims to review and analyze the application of brain imaging methods in driving behavior research, including bibliometric analysis and an individual critical literature review. Regarding bibliometric analysis, this field's knowledge structure and development trend are described macroscopically, using data such as annual distribution of publications, country/region statistics and partnerships, publication sources, literature co-citation analysis, and keyword co-occurrence analysis. In a review of the individual critical literature, eight research themes were identified that examined driving behavior using brain imaging methods: substance consumption, fatigue or sleep deprivation, workload, distraction, aging brains, brain impairment and other diseases, automated/semi-automated environments, emotions influence and risk-taking, and general driving process. In addition, the study reports on six brain imaging methods and their advantages and disadvantages, involving electroencephalography (EEG), functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), positron emission tomography (PET), and transcranial magnetic stimulation (TMS). The contribution of this study is twofold. The first part relates to providing the researchers with a comprehensive understanding of the field's knowledge structure and development trends. The second part goes beyond reviewing and analyzing previous studies, and the discussion section points out the directions and challenges for future research. |
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In a review of the individual critical literature, eight research themes were identified that examined driving behavior using brain imaging methods: substance consumption, fatigue or sleep deprivation, workload, distraction, aging brains, brain impairment and other diseases, automated/semi-automated environments, emotions influence and risk-taking, and general driving process. In addition, the study reports on six brain imaging methods and their advantages and disadvantages, involving electroencephalography (EEG), functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS), magnetoencephalography (MEG), positron emission tomography (PET), and transcranial magnetic stimulation (TMS). The contribution of this study is twofold. The first part relates to providing the researchers with a comprehensive understanding of the field's knowledge structure and development trends. 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