Monitoring army drivers’ workload during off-road missions: An experimental controlled field study
•Army drivers performed real off-road training exercises of different complexity.•Exercises were performed with and without a secondary vocal task.•Drivers’ EEG power spectra and gaze dispersion changed over the exercises.•The EEG-based workload index was sensitive to task complexity.•Drivers’ gaze...
Gespeichert in:
Veröffentlicht in: | Safety science 2021-02, Vol.134, p.105092, Article 105092 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | 105092 |
container_title | Safety science |
container_volume | 134 |
creator | Diaz-Piedra, Carolina Rieiro, Hector Di Stasi, Leandro L. |
description | •Army drivers performed real off-road training exercises of different complexity.•Exercises were performed with and without a secondary vocal task.•Drivers’ EEG power spectra and gaze dispersion changed over the exercises.•The EEG-based workload index was sensitive to task complexity.•Drivers’ gaze entropy was sensitive to task complexity and dual tasking.
We studied the validity of electroencephalographic (EEG) and gaze indices to discriminate task load variations in professional Army drivers while performing real training exercises with a Light Multirole Vehicle in non-combat scenarios. Twenty-two non-commissioned officers from the Spanish Army carried out two sets of standardized driving exercises, with low and high maneuver complexity (off-road navigation vs. slalom on dirt road). They performed both exercises with and without a secondary auditory-vocal digit span forward task. Throughout the exercises, we simultaneously recorded drivers’ EEG and gaze activity. We also assessed perceived task load and performance. We found that drivers’ neural activation changed with exercise complexity. Particularly, the EEG signal ratio between Frontal-Theta and Parietal-Alpha power spectra, known as the EEG workload index, was higher during the most complex exercise. This index was not affected by dual tasking. Furthermore, the level of uncertainty of the gaze position, as measured by gaze entropy, increased during the most complex exercise. Dual tasking did increase drivers’ gaze dispersion, but only when performing the less complex exercise. Perceived task load was sensitive to maneuver complexity and dual tasking. Performance indices did not vary across exercises. Our results support that physiological monitoring in real training, even in extreme environments, is feasible and can give objective measurements of changes in task load over time in a minimally invasive fashion. |
doi_str_mv | 10.1016/j.ssci.2020.105092 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2503933551</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0925753520304896</els_id><sourcerecordid>2503933551</sourcerecordid><originalsourceid>FETCH-LOGICAL-c328t-6b58f0b258ef64e4d097bce74cc2e4771c511d89659bfe3074afa5e17218290b3</originalsourceid><addsrcrecordid>eNp9kE1OwzAQhS0EEqVwAVaWWKf4J44TxKaq-JOK2MDaSuwxckjjYidAd1yD63ESEsKa1Whm3pt5-hA6pWRBCc3O60WM2i0YYeNAkILtoRnNZZFQkrJ9NBsmIpGCi0N0FGNNCKE8ozNk7n3rOh9c-4zLsNlhE9wbhPj9-YXffXhpfGmw6X_33tokjP3Gxeh8Gy_wssXwsYXgNtB2ZYO1b7vgmwYMtg4ag2PXm90xOrBlE-Hkr87R0_XV4-o2WT_c3K2W60RzlndJVonckoqJHGyWQmpIISsNMtWaQSol1YJSkxeZKCoLnMi0tKUAKhnNWUEqPkdn091t8K89xE7Vvg_t8FIxQXjBuRB0ULFJpYOPMYBV2yF_GXaKEjXSVLUaaaqRpppoDqbLyQRD_jcHQQ0KaDUYF0B3ynj3n_0HGb9_4A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2503933551</pqid></control><display><type>article</type><title>Monitoring army drivers’ workload during off-road missions: An experimental controlled field study</title><source>Elsevier ScienceDirect Journals</source><creator>Diaz-Piedra, Carolina ; Rieiro, Hector ; Di Stasi, Leandro L.</creator><creatorcontrib>Diaz-Piedra, Carolina ; Rieiro, Hector ; Di Stasi, Leandro L.</creatorcontrib><description>•Army drivers performed real off-road training exercises of different complexity.•Exercises were performed with and without a secondary vocal task.•Drivers’ EEG power spectra and gaze dispersion changed over the exercises.•The EEG-based workload index was sensitive to task complexity.•Drivers’ gaze entropy was sensitive to task complexity and dual tasking.
We studied the validity of electroencephalographic (EEG) and gaze indices to discriminate task load variations in professional Army drivers while performing real training exercises with a Light Multirole Vehicle in non-combat scenarios. Twenty-two non-commissioned officers from the Spanish Army carried out two sets of standardized driving exercises, with low and high maneuver complexity (off-road navigation vs. slalom on dirt road). They performed both exercises with and without a secondary auditory-vocal digit span forward task. Throughout the exercises, we simultaneously recorded drivers’ EEG and gaze activity. We also assessed perceived task load and performance. We found that drivers’ neural activation changed with exercise complexity. Particularly, the EEG signal ratio between Frontal-Theta and Parietal-Alpha power spectra, known as the EEG workload index, was higher during the most complex exercise. This index was not affected by dual tasking. Furthermore, the level of uncertainty of the gaze position, as measured by gaze entropy, increased during the most complex exercise. Dual tasking did increase drivers’ gaze dispersion, but only when performing the less complex exercise. Perceived task load was sensitive to maneuver complexity and dual tasking. Performance indices did not vary across exercises. Our results support that physiological monitoring in real training, even in extreme environments, is feasible and can give objective measurements of changes in task load over time in a minimally invasive fashion.</description><identifier>ISSN: 0925-7535</identifier><identifier>EISSN: 1879-1042</identifier><identifier>DOI: 10.1016/j.ssci.2020.105092</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Army ; Brain activity ; Combat vehicles ; Complexity ; Digit span ; EEG ; Electroencephalography ; Entropy ; Exercise ; Exercise physiology ; Extreme environments ; Eye tracking ; High-mobility multipurpose wheeled vehicle ; Load fluctuation ; Monitoring ; Performance indices ; Position measurement ; Power spectra ; Roads ; Studies ; Tank ; Taskload ; Training ; Unpaved roads ; Workload ; Workloads</subject><ispartof>Safety science, 2021-02, Vol.134, p.105092, Article 105092</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Feb 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-6b58f0b258ef64e4d097bce74cc2e4771c511d89659bfe3074afa5e17218290b3</citedby><cites>FETCH-LOGICAL-c328t-6b58f0b258ef64e4d097bce74cc2e4771c511d89659bfe3074afa5e17218290b3</cites><orcidid>0000-0002-4312-9432</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0925753520304896$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Diaz-Piedra, Carolina</creatorcontrib><creatorcontrib>Rieiro, Hector</creatorcontrib><creatorcontrib>Di Stasi, Leandro L.</creatorcontrib><title>Monitoring army drivers’ workload during off-road missions: An experimental controlled field study</title><title>Safety science</title><description>•Army drivers performed real off-road training exercises of different complexity.•Exercises were performed with and without a secondary vocal task.•Drivers’ EEG power spectra and gaze dispersion changed over the exercises.•The EEG-based workload index was sensitive to task complexity.•Drivers’ gaze entropy was sensitive to task complexity and dual tasking.
We studied the validity of electroencephalographic (EEG) and gaze indices to discriminate task load variations in professional Army drivers while performing real training exercises with a Light Multirole Vehicle in non-combat scenarios. Twenty-two non-commissioned officers from the Spanish Army carried out two sets of standardized driving exercises, with low and high maneuver complexity (off-road navigation vs. slalom on dirt road). They performed both exercises with and without a secondary auditory-vocal digit span forward task. Throughout the exercises, we simultaneously recorded drivers’ EEG and gaze activity. We also assessed perceived task load and performance. We found that drivers’ neural activation changed with exercise complexity. Particularly, the EEG signal ratio between Frontal-Theta and Parietal-Alpha power spectra, known as the EEG workload index, was higher during the most complex exercise. This index was not affected by dual tasking. Furthermore, the level of uncertainty of the gaze position, as measured by gaze entropy, increased during the most complex exercise. Dual tasking did increase drivers’ gaze dispersion, but only when performing the less complex exercise. Perceived task load was sensitive to maneuver complexity and dual tasking. Performance indices did not vary across exercises. Our results support that physiological monitoring in real training, even in extreme environments, is feasible and can give objective measurements of changes in task load over time in a minimally invasive fashion.</description><subject>Army</subject><subject>Brain activity</subject><subject>Combat vehicles</subject><subject>Complexity</subject><subject>Digit span</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Entropy</subject><subject>Exercise</subject><subject>Exercise physiology</subject><subject>Extreme environments</subject><subject>Eye tracking</subject><subject>High-mobility multipurpose wheeled vehicle</subject><subject>Load fluctuation</subject><subject>Monitoring</subject><subject>Performance indices</subject><subject>Position measurement</subject><subject>Power spectra</subject><subject>Roads</subject><subject>Studies</subject><subject>Tank</subject><subject>Taskload</subject><subject>Training</subject><subject>Unpaved roads</subject><subject>Workload</subject><subject>Workloads</subject><issn>0925-7535</issn><issn>1879-1042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1OwzAQhS0EEqVwAVaWWKf4J44TxKaq-JOK2MDaSuwxckjjYidAd1yD63ESEsKa1Whm3pt5-hA6pWRBCc3O60WM2i0YYeNAkILtoRnNZZFQkrJ9NBsmIpGCi0N0FGNNCKE8ozNk7n3rOh9c-4zLsNlhE9wbhPj9-YXffXhpfGmw6X_33tokjP3Gxeh8Gy_wssXwsYXgNtB2ZYO1b7vgmwYMtg4ag2PXm90xOrBlE-Hkr87R0_XV4-o2WT_c3K2W60RzlndJVonckoqJHGyWQmpIISsNMtWaQSol1YJSkxeZKCoLnMi0tKUAKhnNWUEqPkdn091t8K89xE7Vvg_t8FIxQXjBuRB0ULFJpYOPMYBV2yF_GXaKEjXSVLUaaaqRpppoDqbLyQRD_jcHQQ0KaDUYF0B3ynj3n_0HGb9_4A</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Diaz-Piedra, Carolina</creator><creator>Rieiro, Hector</creator><creator>Di Stasi, Leandro L.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><orcidid>https://orcid.org/0000-0002-4312-9432</orcidid></search><sort><creationdate>202102</creationdate><title>Monitoring army drivers’ workload during off-road missions: An experimental controlled field study</title><author>Diaz-Piedra, Carolina ; Rieiro, Hector ; Di Stasi, Leandro L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-6b58f0b258ef64e4d097bce74cc2e4771c511d89659bfe3074afa5e17218290b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Army</topic><topic>Brain activity</topic><topic>Combat vehicles</topic><topic>Complexity</topic><topic>Digit span</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Entropy</topic><topic>Exercise</topic><topic>Exercise physiology</topic><topic>Extreme environments</topic><topic>Eye tracking</topic><topic>High-mobility multipurpose wheeled vehicle</topic><topic>Load fluctuation</topic><topic>Monitoring</topic><topic>Performance indices</topic><topic>Position measurement</topic><topic>Power spectra</topic><topic>Roads</topic><topic>Studies</topic><topic>Tank</topic><topic>Taskload</topic><topic>Training</topic><topic>Unpaved roads</topic><topic>Workload</topic><topic>Workloads</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Diaz-Piedra, Carolina</creatorcontrib><creatorcontrib>Rieiro, Hector</creatorcontrib><creatorcontrib>Di Stasi, Leandro L.</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Safety science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Diaz-Piedra, Carolina</au><au>Rieiro, Hector</au><au>Di Stasi, Leandro L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monitoring army drivers’ workload during off-road missions: An experimental controlled field study</atitle><jtitle>Safety science</jtitle><date>2021-02</date><risdate>2021</risdate><volume>134</volume><spage>105092</spage><pages>105092-</pages><artnum>105092</artnum><issn>0925-7535</issn><eissn>1879-1042</eissn><abstract>•Army drivers performed real off-road training exercises of different complexity.•Exercises were performed with and without a secondary vocal task.•Drivers’ EEG power spectra and gaze dispersion changed over the exercises.•The EEG-based workload index was sensitive to task complexity.•Drivers’ gaze entropy was sensitive to task complexity and dual tasking.
We studied the validity of electroencephalographic (EEG) and gaze indices to discriminate task load variations in professional Army drivers while performing real training exercises with a Light Multirole Vehicle in non-combat scenarios. Twenty-two non-commissioned officers from the Spanish Army carried out two sets of standardized driving exercises, with low and high maneuver complexity (off-road navigation vs. slalom on dirt road). They performed both exercises with and without a secondary auditory-vocal digit span forward task. Throughout the exercises, we simultaneously recorded drivers’ EEG and gaze activity. We also assessed perceived task load and performance. We found that drivers’ neural activation changed with exercise complexity. Particularly, the EEG signal ratio between Frontal-Theta and Parietal-Alpha power spectra, known as the EEG workload index, was higher during the most complex exercise. This index was not affected by dual tasking. Furthermore, the level of uncertainty of the gaze position, as measured by gaze entropy, increased during the most complex exercise. Dual tasking did increase drivers’ gaze dispersion, but only when performing the less complex exercise. Perceived task load was sensitive to maneuver complexity and dual tasking. Performance indices did not vary across exercises. Our results support that physiological monitoring in real training, even in extreme environments, is feasible and can give objective measurements of changes in task load over time in a minimally invasive fashion.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ssci.2020.105092</doi><orcidid>https://orcid.org/0000-0002-4312-9432</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0925-7535 |
ispartof | Safety science, 2021-02, Vol.134, p.105092, Article 105092 |
issn | 0925-7535 1879-1042 |
language | eng |
recordid | cdi_proquest_journals_2503933551 |
source | Elsevier ScienceDirect Journals |
subjects | Army Brain activity Combat vehicles Complexity Digit span EEG Electroencephalography Entropy Exercise Exercise physiology Extreme environments Eye tracking High-mobility multipurpose wheeled vehicle Load fluctuation Monitoring Performance indices Position measurement Power spectra Roads Studies Tank Taskload Training Unpaved roads Workload Workloads |
title | Monitoring army drivers’ workload during off-road missions: An experimental controlled field study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T07%3A45%3A49IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Monitoring%20army%20drivers%E2%80%99%20workload%20during%20off-road%20missions:%20An%20experimental%20controlled%20field%20study&rft.jtitle=Safety%20science&rft.au=Diaz-Piedra,%20Carolina&rft.date=2021-02&rft.volume=134&rft.spage=105092&rft.pages=105092-&rft.artnum=105092&rft.issn=0925-7535&rft.eissn=1879-1042&rft_id=info:doi/10.1016/j.ssci.2020.105092&rft_dat=%3Cproquest_cross%3E2503933551%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2503933551&rft_id=info:pmid/&rft_els_id=S0925753520304896&rfr_iscdi=true |