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Driving mental workload and performance of ageing drivers

The World Health Organization stated that the global ageing population is increasing rapidly as well as the case of road accidents involving ageing drivers. This study presents the driving mental workload and performance model of ageing drivers in the context of real-time road driving. Twenty paid p...

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Main Authors: Abd Rahman, Nurul Izzah, Md Dawal, Siti Zawiah, Yusoff, Nukman
Format: Article
Published: Elsevier Sci Ltd 2020
Subjects:
BF Psychology
Online Access:http://eprints.um.edu.my/36900/
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spelling my.um.eprints.369002023-11-14T03:11:01Z http://eprints.um.edu.my/36900/ Driving mental workload and performance of ageing drivers Abd Rahman, Nurul Izzah Md Dawal, Siti Zawiah Yusoff, Nukman BF Psychology The World Health Organization stated that the global ageing population is increasing rapidly as well as the case of road accidents involving ageing drivers. This study presents the driving mental workload and performance model of ageing drivers in the context of real-time road driving. Twenty paid participants (ten males) with a mean age of 57.8 years old (SD = 2.7) and mean driving experience of 29.6 years (SD = 8.5) took part in driving experiments with three complexity levels of situation: simple situation (SS), moderately complex situation (MCS), and very complex situation (VCS). The subjective ratings using NASA Task Load Index (NASA-TLX), physiological measure using electroencephalogram, number of traffic violations (NTVs), speed variability, and reaction time of peripheral detection task were measured. The driving experiments reveal the following: (1) The subjective workload ratings on mean physical demand score were the highest. (2) The electroencephalogram results show that situation complexity had significant effects on theta relative power and alpha relative power of two channel locations (3) The highest mean NTV5 was in VCS. (4) The mean speed variability in the MCS was significantly lower than that of in the SS and VCS. (5) The maximum reaction time was recorded in VCS while the minimum reaction time was recorded in the MCS. The overall driving performance score regression models were developed based on the strong correlation and linear relationship between mental workload and driving performance elements. The models may benefit as a reference for designers, manufacturers, developers, and policymakers in designing better driving environment for ageing drivers by integrating safety and transportation, thus, optimizing and sustaining the driving performance of ageing drivers. (C) 2020 Elsevier Ltd. All rights reserved. Elsevier Sci Ltd 2020-02 Article PeerReviewed Abd Rahman, Nurul Izzah and Md Dawal, Siti Zawiah and Yusoff, Nukman (2020) Driving mental workload and performance of ageing drivers. Transportation Research Part F-Traffic Psychology and Behaviour, 69. pp. 265-285. ISSN 1369-8478, DOI https://doi.org/10.1016/j.trf.2020.01.019 <https://doi.org/10.1016/j.trf.2020.01.019>. 10.1016/j.trf.2020.01.019
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic BF Psychology
spellingShingle BF Psychology
Abd Rahman, Nurul Izzah
Md Dawal, Siti Zawiah
Yusoff, Nukman
Driving mental workload and performance of ageing drivers
description The World Health Organization stated that the global ageing population is increasing rapidly as well as the case of road accidents involving ageing drivers. This study presents the driving mental workload and performance model of ageing drivers in the context of real-time road driving. Twenty paid participants (ten males) with a mean age of 57.8 years old (SD = 2.7) and mean driving experience of 29.6 years (SD = 8.5) took part in driving experiments with three complexity levels of situation: simple situation (SS), moderately complex situation (MCS), and very complex situation (VCS). The subjective ratings using NASA Task Load Index (NASA-TLX), physiological measure using electroencephalogram, number of traffic violations (NTVs), speed variability, and reaction time of peripheral detection task were measured. The driving experiments reveal the following: (1) The subjective workload ratings on mean physical demand score were the highest. (2) The electroencephalogram results show that situation complexity had significant effects on theta relative power and alpha relative power of two channel locations (3) The highest mean NTV5 was in VCS. (4) The mean speed variability in the MCS was significantly lower than that of in the SS and VCS. (5) The maximum reaction time was recorded in VCS while the minimum reaction time was recorded in the MCS. The overall driving performance score regression models were developed based on the strong correlation and linear relationship between mental workload and driving performance elements. The models may benefit as a reference for designers, manufacturers, developers, and policymakers in designing better driving environment for ageing drivers by integrating safety and transportation, thus, optimizing and sustaining the driving performance of ageing drivers. (C) 2020 Elsevier Ltd. All rights reserved.
format Article
author Abd Rahman, Nurul Izzah
Md Dawal, Siti Zawiah
Yusoff, Nukman
author_facet Abd Rahman, Nurul Izzah
Md Dawal, Siti Zawiah
Yusoff, Nukman
author_sort Abd Rahman, Nurul Izzah
title Driving mental workload and performance of ageing drivers
title_short Driving mental workload and performance of ageing drivers
title_full Driving mental workload and performance of ageing drivers
title_fullStr Driving mental workload and performance of ageing drivers
title_full_unstemmed Driving mental workload and performance of ageing drivers
title_sort driving mental workload and performance of ageing drivers
publisher Elsevier Sci Ltd
publishDate 2020
url http://eprints.um.edu.my/36900/
_version_ 1783876659282182144
score 13.211869

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