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

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dc.citation.firstpage1227
dc.citation.issueNumber7
dc.citation.journalTitleA Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving
dc.citation.lastpage1260
dc.citation.volumeNumber64
dc.contributor.authorWeaver, Bradley W.
dc.contributor.authorDeLucia, Patricia R.
dc.date.accessioned2022-11-07T22:34:29Z
dc.date.available2022-11-07T22:34:29Z
dc.date.issued2022
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.
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.
dc.identifier.doihttps://doi.org/10.1177/0018720820976476
dc.identifier.urihttps://hdl.handle.net/1911/113818
dc.language.isoeng
dc.publisherSage
dc.rightsThis is an author's post-print. The published article is copyrighted by the Human Factors and Ergonomics Society
dc.subject.keywordvehicle automation
dc.subject.keywordautonomous driving
dc.subject.keyworddriver behavior
dc.subject.keywordhuman–automation interaction
dc.subject.keywordmeta-analysis
dc.subject.keywordresearch synthesis
dc.titleA Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
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