Effect of Music Tempo on Long-Distance Driving: Which Tempo Is the Most Effective at Reducing Fatigue?
Identifieur interne : 000415 ( Main/Exploration ); précédent : 000414; suivant : 000416Effect of Music Tempo on Long-Distance Driving: Which Tempo Is the Most Effective at Reducing Fatigue?
Auteurs : Rui Li [République populaire de Chine] ; Yingjie V. Chen [États-Unis] ; Linghao Zhang [République populaire de Chine]Source :
- i-Perception [ 2041-6695 ]
Abstract
This study investigated how music tempo impacted drivers' fatigue and quality of attention in a long-distance monotonous highway environment. Sixteen drivers were enrolled in four sessions of real-road driving tests under the following four music conditions: no music, slow tempo, medium tempo and fast tempo. Specifically, the drivers' electroencephalogram parameters and eye movement parameters were recorded to measure their extent of fatigue and quality of attention, respectively. Of the three tempos, medium-tempo music is the best choice to reduce fatigue and maintain attention for a long-distance driving. Slow-tempo music can temporarily boost the quality of attention, but after a long period of driving, it significantly deteriorates the driver's levels of fatigue and attention. Fast-tempo music helps relieve driver fatigue but significantly deteriorates drivers' attention after an extended driving time. This study offered practical references for drivers regarding the use of music to avoid fatigue, maintain attention and improve their driving safety. Based on previous theories of music and driving, we have explored the underlying mechanism of how music tempo maintains the alertness of drivers.
DOI: 10.1177/2041669519861982
PubMed: 31360430
PubMed Central: PMC6636224
Affiliations:
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Chen</name><affiliation wicri:level="2"><nlm:affiliation>Department of Computer Graphics Technology, Purdue University, West Lafayette, IN, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Graphics Technology, Purdue University, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Zhang, Linghao" sort="Zhang, Linghao" uniqKey="Zhang L" first="Linghao" last="Zhang">Linghao Zhang</name><affiliation wicri:level="1"><nlm:affiliation>School of Design, Jiangnan University, Wuxi, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Design, Jiangnan University, Wuxi</wicri:regionArea><wicri:noRegion>Wuxi</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019 Jul-Aug</date><idno type="RBID">pubmed:31360430</idno><idno type="pmid">31360430</idno><idno type="doi">10.1177/2041669519861982</idno><idno type="pmc">PMC6636224</idno><idno type="wicri:Area/Main/Corpus">000460</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000460</idno><idno type="wicri:Area/Main/Curation">000460</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000460</idno><idno type="wicri:Area/Main/Exploration">000460</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Effect of Music Tempo on Long-Distance Driving: Which Tempo Is the Most Effective at Reducing Fatigue?</title><author><name sortKey="Li, Rui" sort="Li, Rui" uniqKey="Li R" first="Rui" last="Li">Rui Li</name><affiliation wicri:level="1"><nlm:affiliation>School of Design, Jiangnan University, Wuxi, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Design, Jiangnan University, Wuxi</wicri:regionArea><wicri:noRegion>Wuxi</wicri:noRegion></affiliation></author><author><name sortKey="Chen, Yingjie V" sort="Chen, Yingjie V" uniqKey="Chen Y" first="Yingjie V" last="Chen">Yingjie V. Chen</name><affiliation wicri:level="2"><nlm:affiliation>Department of Computer Graphics Technology, Purdue University, West Lafayette, IN, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Graphics Technology, Purdue University, West Lafayette, IN</wicri:regionArea><placeName><region type="state">Indiana</region></placeName></affiliation></author><author><name sortKey="Zhang, Linghao" sort="Zhang, Linghao" uniqKey="Zhang L" first="Linghao" last="Zhang">Linghao Zhang</name><affiliation wicri:level="1"><nlm:affiliation>School of Design, Jiangnan University, Wuxi, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Design, Jiangnan University, Wuxi</wicri:regionArea><wicri:noRegion>Wuxi</wicri:noRegion></affiliation></author></analytic><series><title level="j">i-Perception</title><idno type="ISSN">2041-6695</idno></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study investigated how music tempo impacted drivers' fatigue and quality of attention in a long-distance monotonous highway environment. Sixteen drivers were enrolled in four sessions of real-road driving tests under the following four music conditions: no music, slow tempo, medium tempo and fast tempo. Specifically, the drivers' electroencephalogram parameters and eye movement parameters were recorded to measure their extent of fatigue and quality of attention, respectively. Of the three tempos, medium-tempo music is the best choice to reduce fatigue and maintain attention for a long-distance driving. Slow-tempo music can temporarily boost the quality of attention, but after a long period of driving, it significantly deteriorates the driver's levels of fatigue and attention. Fast-tempo music helps relieve driver fatigue but significantly deteriorates drivers' attention after an extended driving time. This study offered practical references for drivers regarding the use of music to avoid fatigue, maintain attention and improve their driving safety. Based on previous theories of music and driving, we have explored the underlying mechanism of how music tempo maintains the alertness of drivers.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">31360430</PMID><DateRevised><Year>2020</Year><Month>09</Month><Day>30</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Print">2041-6695</ISSN><JournalIssue CitedMedium="Print"><Volume>10</Volume><Issue>4</Issue><PubDate><MedlineDate>2019 Jul-Aug</MedlineDate></PubDate></JournalIssue><Title>i-Perception</Title><ISOAbbreviation>Iperception</ISOAbbreviation></Journal><ArticleTitle>Effect of Music Tempo on Long-Distance Driving: Which Tempo Is the Most Effective at Reducing Fatigue?</ArticleTitle><Pagination><MedlinePgn>2041669519861982</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1177/2041669519861982</ELocationID><Abstract><AbstractText>This study investigated how music tempo impacted drivers' fatigue and quality of attention in a long-distance monotonous highway environment. Sixteen drivers were enrolled in four sessions of real-road driving tests under the following four music conditions: no music, slow tempo, medium tempo and fast tempo. Specifically, the drivers' electroencephalogram parameters and eye movement parameters were recorded to measure their extent of fatigue and quality of attention, respectively. Of the three tempos, medium-tempo music is the best choice to reduce fatigue and maintain attention for a long-distance driving. Slow-tempo music can temporarily boost the quality of attention, but after a long period of driving, it significantly deteriorates the driver's levels of fatigue and attention. Fast-tempo music helps relieve driver fatigue but significantly deteriorates drivers' attention after an extended driving time. This study offered practical references for drivers regarding the use of music to avoid fatigue, maintain attention and improve their driving safety. Based on previous theories of music and driving, we have explored the underlying mechanism of how music tempo maintains the alertness of drivers.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Rui</ForeName><Initials>R</Initials><Identifier Source="ORCID">https://orcid.org/0000-0002-5515-7449</Identifier><AffiliationInfo><Affiliation>School of Design, Jiangnan University, Wuxi, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Yingjie V</ForeName><Initials>YV</Initials><AffiliationInfo><Affiliation>Department of Computer Graphics Technology, Purdue University, West Lafayette, IN, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Linghao</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>School of Design, Jiangnan University, Wuxi, 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