A Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving

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dc.citation.firstpage1227en_US
dc.citation.issueNumber7en_US
dc.citation.journalTitleA Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Drivingen_US
dc.citation.lastpage1260en_US
dc.citation.volumeNumber64en_US
dc.contributor.authorWeaver, Bradley W.en_US
dc.contributor.authorDeLucia, Patricia R.en_US
dc.date.accessioned2022-11-07T22:34:29Zen_US
dc.date.available2022-11-07T22:34:29Zen_US
dc.date.issued2022en_US
dc.description.abstractObjective: The aim of this paper was to synthesize the experimental research on factors that affect takeover performance during conditionally automated driving. Background: For conditionally automated driving, the automated driving system (ADS) can handle the entire dynamic driving task but only for limited domains. When the system reaches a limit, the driver is responsible for taking over vehicle control, which may be affected by how much time they are provided to take over, what they were doing prior to the takeover, or the type of information provided to them during the takeover. Method: Out of 8446 articles identified by a systematic literature search, 48 articles containing 51 experiments were included in the meta-analysis. Coded independent variables were time budget, non-driving related task engagement and resource demands, and information support during the takeover. Coded dependent variables were takeover timing and quality measures. Results: Engaging in non-driving related tasks results in degraded takeover performance, particularly if it has overlapping resource demands with the driving task. Weak evidence suggests takeover performance is impaired with shorter time budgets. Current implementations of information support did not affect takeover performance. Conclusion: Future research and implementation should focus on providing the driver more time to take over while automation is active and should further explore information support. Application: The results of the current paper indicate the need for the development and deployment of vehicle-to-everything (V2X) services and driver monitoring.en_US
dc.identifier.citationWeaver, Bradley W. and DeLucia, Patricia R.. "A Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving." <i>A Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving,</i> 64, no. 7 (2022) Sage: 1227-1260. https://doi.org/10.1177/0018720820976476.en_US
dc.identifier.doihttps://doi.org/10.1177/0018720820976476en_US
dc.identifier.urihttps://hdl.handle.net/1911/113818en_US
dc.language.isoengen_US
dc.publisherSageen_US
dc.rightsThis is an author's post-print. The published article is copyrighted by the Human Factors and Ergonomics Societyen_US
dc.subject.keywordvehicle automationen_US
dc.subject.keywordautonomous drivingen_US
dc.subject.keyworddriver behavioren_US
dc.subject.keywordhuman–automation interactionen_US
dc.subject.keywordmeta-analysisen_US
dc.subject.keywordresearch synthesisen_US
dc.titleA Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Drivingen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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