Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms

Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Unders...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sun, Qian (Chayn) [verfasserIn] Xia, Jianhong (Cecilia) [verfasserIn] Li, Yongfu [verfasserIn] Foster, Jonathan [verfasserIn] Falkmer, Torbjörn [verfasserIn] Lee, Hoe [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Übergeordnetes Werk:	Enthalten in: Transportation research / F - Amsterdam [u.a.] : Elsevier Science, 1998, 58, Seite 11-18
Übergeordnetes Werk:	volume:58 ; pages:11-18

DOI / URN:	10.1016/j.trf.2018.05.025

Katalog-ID:	ELV000484350

Internformat


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245	1	0	\|a Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
264		1	\|c 2018
336			\|a nicht spezifiziert \|b zzz \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
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520			\|a Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel.
700	1		\|a Xia, Jianhong (Cecilia) \|e verfasserin \|4 aut
700	1		\|a Li, Yongfu \|e verfasserin \|4 aut
700	1		\|a Foster, Jonathan \|e verfasserin \|4 aut
700	1		\|a Falkmer, Torbjörn \|e verfasserin \|4 aut
700	1		\|a Lee, Hoe \|e verfasserin \|4 aut
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Indexfelder

author_variant	q c s qc qcs j c x jc jcx y l yl j f jf t f tf h l hl
matchkey_str	article:18735517:2018----::naknodrrvrmnueaitretoshivsamtroriainnudryn
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publishDate	2018
allfields	10.1016/j.trf.2018.05.025 doi (DE-627)ELV000484350 (ELSEVIER)S1369-8478(17)30450-3 DE-627 ger DE-627 rda eng 380 DE-600 Sun, Qian (Chayn) verfasserin aut Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel. Xia, Jianhong (Cecilia) verfasserin aut Li, Yongfu verfasserin aut Foster, Jonathan verfasserin aut Falkmer, Torbjörn verfasserin aut Lee, Hoe verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 58, Seite 11-18 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:58 pages:11-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 58 11-18
spelling	10.1016/j.trf.2018.05.025 doi (DE-627)ELV000484350 (ELSEVIER)S1369-8478(17)30450-3 DE-627 ger DE-627 rda eng 380 DE-600 Sun, Qian (Chayn) verfasserin aut Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel. Xia, Jianhong (Cecilia) verfasserin aut Li, Yongfu verfasserin aut Foster, Jonathan verfasserin aut Falkmer, Torbjörn verfasserin aut Lee, Hoe verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 58, Seite 11-18 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:58 pages:11-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 58 11-18
allfields_unstemmed	10.1016/j.trf.2018.05.025 doi (DE-627)ELV000484350 (ELSEVIER)S1369-8478(17)30450-3 DE-627 ger DE-627 rda eng 380 DE-600 Sun, Qian (Chayn) verfasserin aut Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel. Xia, Jianhong (Cecilia) verfasserin aut Li, Yongfu verfasserin aut Foster, Jonathan verfasserin aut Falkmer, Torbjörn verfasserin aut Lee, Hoe verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 58, Seite 11-18 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:58 pages:11-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 58 11-18
allfieldsGer	10.1016/j.trf.2018.05.025 doi (DE-627)ELV000484350 (ELSEVIER)S1369-8478(17)30450-3 DE-627 ger DE-627 rda eng 380 DE-600 Sun, Qian (Chayn) verfasserin aut Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel. Xia, Jianhong (Cecilia) verfasserin aut Li, Yongfu verfasserin aut Foster, Jonathan verfasserin aut Falkmer, Torbjörn verfasserin aut Lee, Hoe verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 58, Seite 11-18 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:58 pages:11-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 58 11-18
allfieldsSound	10.1016/j.trf.2018.05.025 doi (DE-627)ELV000484350 (ELSEVIER)S1369-8478(17)30450-3 DE-627 ger DE-627 rda eng 380 DE-600 Sun, Qian (Chayn) verfasserin aut Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel. Xia, Jianhong (Cecilia) verfasserin aut Li, Yongfu verfasserin aut Foster, Jonathan verfasserin aut Falkmer, Torbjörn verfasserin aut Lee, Hoe verfasserin aut Enthalten in Transportation research / F Amsterdam [u.a.] : Elsevier Science, 1998 58, Seite 11-18 Online-Ressource (DE-627)320599191 (DE-600)2019959-4 (DE-576)259485136 1873-5517 nnns volume:58 pages:11-18 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 58 11-18
language	English
source	Enthalten in Transportation research / F 58, Seite 11-18 volume:58 pages:11-18
sourceStr	Enthalten in Transportation research / F 58, Seite 11-18 volume:58 pages:11-18
format_phy_str_mv	Article
institution	findex.gbv.de
dewey-raw	380
isfreeaccess_bool	false
container_title	Transportation research / F
authorswithroles_txt_mv	Sun, Qian (Chayn) @@aut@@ Xia, Jianhong (Cecilia) @@aut@@ Li, Yongfu @@aut@@ Foster, Jonathan @@aut@@ Falkmer, Torbjörn @@aut@@ Lee, Hoe @@aut@@
publishDateDaySort_date	2018-01-01T00:00:00Z
hierarchy_top_id	320599191
dewey-sort	3380
id	ELV000484350
language_de	englisch
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author	Sun, Qian (Chayn)
spellingShingle	Sun, Qian (Chayn) ddc 380 Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
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topic_title	380 DE-600 Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
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title	Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
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title_full	Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
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author_browse	Sun, Qian (Chayn) Xia, Jianhong (Cecilia) Li, Yongfu Foster, Jonathan Falkmer, Torbjörn Lee, Hoe
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author-letter	Sun, Qian (Chayn)
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title_sort	unpacking older drivers’ maneuver at intersections: their visual-motor coordination and underlying neuropsychological mechanisms
title_auth	Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
abstract	Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel.
abstractGer	Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel.
abstract_unstemmed	Background: Negotiating intersections is one of the principal concerns for older drivers as it requires precision and efficiency in visual-motor coordination (VMC). The complex intersection manoeuvre places high demands on visual perception, attention, motor control and executive functioning. Understanding the relationship between VMC and cognitive abilities in older drivers is important, but yet to be systematically explored.Methods: We recorded 38 older adults’ driving manoeuvre at intersections using eye tracking and advanced surveying positioning technologies. VCM performance of the participants were indexed using multiple parameters of visual and motor behaviors with a Data Envelopment Analysis (DEA) model. Participants also performed a battery of cognitive tests of visual attention, spatial abilities, visual-motor speed and executive functions.Results: Significant correlations were identified between VMC performance and eight cognitive measurements: UFOV 2 and 3, Block Design, Benton’s JLO, D-KEFS TMT 1, 2, 3 and 4. Cognitive tests measuring selective attention, spatial ability and executive function were found to be the best predictors for VMC performance.Conclusions: Specific cognitive abilities in older drivers were associated with poorer VMC at intersections. VMC assessment can be used to identify risky older drivers and their problematic behaviors. In the future, tailored VMC evaluations and intervention programs may be developed to improve older drivers’ safety behind the wheel.
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title_short	Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms
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author2	Xia, Jianhong (Cecilia) Li, Yongfu Foster, Jonathan Falkmer, Torbjörn Lee, Hoe
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doi_str	10.1016/j.trf.2018.05.025
up_date	2024-07-06T18:07:47.809Z
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Unpacking older drivers’ maneuver at intersections: Their visual-motor coordination and underlying neuropsychological mechanisms

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