Determinants of take-over time from automated driving: A meta-analysis of 129 studies
•Meta-analysis was performed on 129 studies that measured take-over time (TOT).•Mean TOT was lower when the urgency of the take-over situation was higher.•Performing a non-driving task with a handheld device yielded substantially increased mean TOT.•Participants’ age did not show a clear association...
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Veröffentlicht in: | Transportation research. Part F, Traffic psychology and behaviour Traffic psychology and behaviour, 2019-07, Vol.64, p.285-307 |
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creator | Zhang, Bo de Winter, Joost Varotto, Silvia Happee, Riender Martens, Marieke |
description | •Meta-analysis was performed on 129 studies that measured take-over time (TOT).•Mean TOT was lower when the urgency of the take-over situation was higher.•Performing a non-driving task with a handheld device yielded substantially increased mean TOT.•Participants’ age did not show a clear association with mean TOT.
An important question in automated driving research is how quickly drivers take over control of the vehicle in response to a critical event or a take-over request. Although a large number of studies have been performed, results vary strongly. In this study, we investigated mean take-over times from 129 studies with SAE level 2 automation or higher. We used three complementary approaches: (1) a within-study analysis, in which differences in mean take-over time were assessed for pairs of experimental conditions, (2) a between-study analysis, in which correlations between experimental conditions and mean take-over times were assessed, and (3) a linear mixed-effects model combining between-study and within-study effects. The three methods showed that a shorter mean take-over time is associated with a higher urgency of the situation, not using a handheld device, not performing a visual non-driving task, having experienced another take-over scenario before in the experiment, and receiving an auditory or vibrotactile take-over request as compared to a visual-only or no take-over request. A consistent effect of age was not observed. We also found the mean and standard deviation of the take-over time were highly correlated, indicating that the mean is predictive of variability. Our findings point to directions for new research, in particular concerning the distinction between drivers’ ability and motivation to take over, and the roles of urgency and prior experience. |
doi_str_mv | 10.1016/j.trf.2019.04.020 |
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An important question in automated driving research is how quickly drivers take over control of the vehicle in response to a critical event or a take-over request. Although a large number of studies have been performed, results vary strongly. In this study, we investigated mean take-over times from 129 studies with SAE level 2 automation or higher. We used three complementary approaches: (1) a within-study analysis, in which differences in mean take-over time were assessed for pairs of experimental conditions, (2) a between-study analysis, in which correlations between experimental conditions and mean take-over times were assessed, and (3) a linear mixed-effects model combining between-study and within-study effects. The three methods showed that a shorter mean take-over time is associated with a higher urgency of the situation, not using a handheld device, not performing a visual non-driving task, having experienced another take-over scenario before in the experiment, and receiving an auditory or vibrotactile take-over request as compared to a visual-only or no take-over request. A consistent effect of age was not observed. We also found the mean and standard deviation of the take-over time were highly correlated, indicating that the mean is predictive of variability. Our findings point to directions for new research, in particular concerning the distinction between drivers’ ability and motivation to take over, and the roles of urgency and prior experience.</description><identifier>ISSN: 1369-8478</identifier><identifier>EISSN: 1873-5517</identifier><identifier>DOI: 10.1016/j.trf.2019.04.020</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Age factors ; AGVS ; Automated driving ; Automatic control ; Automobile driving ; Correlation analysis ; Drivers ; Literature review ; Meta-analysis ; Studies ; Take-over time ; Traffic accidents & safety ; Transition of control ; Visual tasks</subject><ispartof>Transportation research. Part F, Traffic psychology and behaviour, 2019-07, Vol.64, p.285-307</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jul 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-8ee77052cf5e63b22bb562ab4b7b0638db1d4c00894de6abddbccc3ca133a1ed3</citedby><cites>FETCH-LOGICAL-c396t-8ee77052cf5e63b22bb562ab4b7b0638db1d4c00894de6abddbccc3ca133a1ed3</cites><orcidid>0000-0001-6462-3088</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.trf.2019.04.020$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids></links><search><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>de Winter, Joost</creatorcontrib><creatorcontrib>Varotto, Silvia</creatorcontrib><creatorcontrib>Happee, Riender</creatorcontrib><creatorcontrib>Martens, Marieke</creatorcontrib><title>Determinants of take-over time from automated driving: A meta-analysis of 129 studies</title><title>Transportation research. Part F, Traffic psychology and behaviour</title><description>•Meta-analysis was performed on 129 studies that measured take-over time (TOT).•Mean TOT was lower when the urgency of the take-over situation was higher.•Performing a non-driving task with a handheld device yielded substantially increased mean TOT.•Participants’ age did not show a clear association with mean TOT.
An important question in automated driving research is how quickly drivers take over control of the vehicle in response to a critical event or a take-over request. Although a large number of studies have been performed, results vary strongly. In this study, we investigated mean take-over times from 129 studies with SAE level 2 automation or higher. We used three complementary approaches: (1) a within-study analysis, in which differences in mean take-over time were assessed for pairs of experimental conditions, (2) a between-study analysis, in which correlations between experimental conditions and mean take-over times were assessed, and (3) a linear mixed-effects model combining between-study and within-study effects. The three methods showed that a shorter mean take-over time is associated with a higher urgency of the situation, not using a handheld device, not performing a visual non-driving task, having experienced another take-over scenario before in the experiment, and receiving an auditory or vibrotactile take-over request as compared to a visual-only or no take-over request. A consistent effect of age was not observed. We also found the mean and standard deviation of the take-over time were highly correlated, indicating that the mean is predictive of variability. Our findings point to directions for new research, in particular concerning the distinction between drivers’ ability and motivation to take over, and the roles of urgency and prior experience.</description><subject>Age factors</subject><subject>AGVS</subject><subject>Automated driving</subject><subject>Automatic control</subject><subject>Automobile driving</subject><subject>Correlation analysis</subject><subject>Drivers</subject><subject>Literature review</subject><subject>Meta-analysis</subject><subject>Studies</subject><subject>Take-over time</subject><subject>Traffic accidents & safety</subject><subject>Transition of control</subject><subject>Visual tasks</subject><issn>1369-8478</issn><issn>1873-5517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqXwAewssU4Y23k4sKrKU6rEhq4tPybIpUmK7VTi70kpa1Yzi3uurg4h1wxyBqy63eQptDkH1uRQ5MDhhMyYrEVWlqw-nX5RNZksanlOLmLcAEDBWT0j6wdMGDrf6z5FOrQ06U_Mhj0GmnyHtA1DR_WYhk4ndNQFv_f9xx1d0A6TznSvt9_R_5KMNzSm0XmMl-Ss1duIV393TtZPj-_Ll2z19vy6XKwyK5oqZRKxrqHkti2xEoZzY8qKa1OY2kAlpDPMFRZANoXDShvnjLVWWM2E0AydmJObY-8uDF8jxqQ2wximTVFxLoXgspEwpdgxZcMQY8BW7YLvdPhWDNTBntqoyZ462FNQqMnexNwfGZzm7z0GFa3H3qLzAW1SbvD_0D_toXg8</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Zhang, Bo</creator><creator>de Winter, Joost</creator><creator>Varotto, Silvia</creator><creator>Happee, Riender</creator><creator>Martens, Marieke</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><orcidid>https://orcid.org/0000-0001-6462-3088</orcidid></search><sort><creationdate>20190701</creationdate><title>Determinants of take-over time from automated driving: A meta-analysis of 129 studies</title><author>Zhang, Bo ; de Winter, Joost ; Varotto, Silvia ; Happee, Riender ; Martens, Marieke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-8ee77052cf5e63b22bb562ab4b7b0638db1d4c00894de6abddbccc3ca133a1ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Age factors</topic><topic>AGVS</topic><topic>Automated driving</topic><topic>Automatic control</topic><topic>Automobile driving</topic><topic>Correlation analysis</topic><topic>Drivers</topic><topic>Literature review</topic><topic>Meta-analysis</topic><topic>Studies</topic><topic>Take-over time</topic><topic>Traffic accidents & safety</topic><topic>Transition of control</topic><topic>Visual tasks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>de Winter, Joost</creatorcontrib><creatorcontrib>Varotto, Silvia</creatorcontrib><creatorcontrib>Happee, Riender</creatorcontrib><creatorcontrib>Martens, Marieke</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research. Part F, Traffic psychology and behaviour</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Bo</au><au>de Winter, Joost</au><au>Varotto, Silvia</au><au>Happee, Riender</au><au>Martens, Marieke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of take-over time from automated driving: A meta-analysis of 129 studies</atitle><jtitle>Transportation research. Part F, Traffic psychology and behaviour</jtitle><date>2019-07-01</date><risdate>2019</risdate><volume>64</volume><spage>285</spage><epage>307</epage><pages>285-307</pages><issn>1369-8478</issn><eissn>1873-5517</eissn><abstract>•Meta-analysis was performed on 129 studies that measured take-over time (TOT).•Mean TOT was lower when the urgency of the take-over situation was higher.•Performing a non-driving task with a handheld device yielded substantially increased mean TOT.•Participants’ age did not show a clear association with mean TOT.
An important question in automated driving research is how quickly drivers take over control of the vehicle in response to a critical event or a take-over request. Although a large number of studies have been performed, results vary strongly. In this study, we investigated mean take-over times from 129 studies with SAE level 2 automation or higher. We used three complementary approaches: (1) a within-study analysis, in which differences in mean take-over time were assessed for pairs of experimental conditions, (2) a between-study analysis, in which correlations between experimental conditions and mean take-over times were assessed, and (3) a linear mixed-effects model combining between-study and within-study effects. The three methods showed that a shorter mean take-over time is associated with a higher urgency of the situation, not using a handheld device, not performing a visual non-driving task, having experienced another take-over scenario before in the experiment, and receiving an auditory or vibrotactile take-over request as compared to a visual-only or no take-over request. A consistent effect of age was not observed. We also found the mean and standard deviation of the take-over time were highly correlated, indicating that the mean is predictive of variability. Our findings point to directions for new research, in particular concerning the distinction between drivers’ ability and motivation to take over, and the roles of urgency and prior experience.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.trf.2019.04.020</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0001-6462-3088</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age factors AGVS Automated driving Automatic control Automobile driving Correlation analysis Drivers Literature review Meta-analysis Studies Take-over time Traffic accidents & safety Transition of control Visual tasks |
title | Determinants of take-over time from automated driving: A meta-analysis of 129 studies |
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