On-line driver workload estimation. Effects of road situation and age on secondary task measures
In order to develop a driver-car interface that adapts the presentation of messages generated by in-vehicle information systems to driver workload, two experiments investigated potential determinants of driver visual and mental workload as indicated by performance on two secondary tasks. Experiment...
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Veröffentlicht in: | Ergonomics 2000-02, Vol.43 (2), p.187-209 |
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description | In order to develop a driver-car interface that adapts the presentation of messages generated by in-vehicle information systems to driver workload, two experiments investigated potential determinants of driver visual and mental workload as indicated by performance on two secondary tasks. Experiment 1 suggested that road situation is a major determinant of visual and mental workload of the driver and that the processing resources of older drivers are somewhat more limited than those of younger and middle-aged drivers. Familiarity with the area of driving (when guided) and time of day (associated with traffic density) showed no secondary task effects. Experiment 2 showed that the categorization of road situations, proposed in Experiment 1, could underlie adaptation of visually loading messages to the workload incurred by driving. This was not found with respect to mentally loading messages. |
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Effects of road situation and age on secondary task measures</title><title>Ergonomics</title><addtitle>Ergonomics</addtitle><description>In order to develop a driver-car interface that adapts the presentation of messages generated by in-vehicle information systems to driver workload, two experiments investigated potential determinants of driver visual and mental workload as indicated by performance on two secondary tasks. Experiment 1 suggested that road situation is a major determinant of visual and mental workload of the driver and that the processing resources of older drivers are somewhat more limited than those of younger and middle-aged drivers. Familiarity with the area of driving (when guided) and time of day (associated with traffic density) showed no secondary task effects. Experiment 2 showed that the categorization of road situations, proposed in Experiment 1, could underlie adaptation of visually loading messages to the workload incurred by driving. This was not found with respect to mentally loading messages.</description><subject>Adaptive Interfaces</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Applied physiology</subject><subject>Automobile drivers</subject><subject>Automobile Driving</subject><subject>Biological and medical sciences</subject><subject>Driver Workload</subject><subject>Elderly</subject><subject>Ergonomics. Work place. Occupational physiology</subject><subject>Estimation</subject><subject>Female</subject><subject>Human physiology applied to population studies and life conditions. Human ecophysiology</subject><subject>Humans</subject><subject>Interfaces</subject><subject>Male</subject><subject>Man-Machine Systems</subject><subject>Medical sciences</subject><subject>Mental Processes</subject><subject>Middle Aged</subject><subject>Navigation systems</subject><subject>Older people</subject><subject>Secondary Tasks</subject><subject>Space life sciences</subject><subject>Task Performance and Analysis</subject><subject>Workload</subject><issn>0014-0139</issn><issn>1366-5847</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>K30</sourceid><recordid>eNqFkc1LHTEUxUOx1NfXrruToMXdaDKZfLkTsVUQ3Nh1mslHGZ1JNMm0ff998_peqTwQF-Hmcn7ncrkHgE8YnWAk0ClCuEOY1CI6SsUbsMCEsYaKju-BxVptqiz3wfuc72tLsGzfgX2MGKeIigX4fhuacQgO2jT8dAn-iulhjNpCl8sw6TLEcAIvvXemZBg9TGstD2X-K0EdLNQ_HKzf7EwMVqcVLDo_wMnpPCeXP4C3Xo_ZfdzWJfj25fLu4qq5uf16fXF-05iOd6XxnnCjGRMGUec8Mb0RTPResr5j1vaSdGtQctsS7kUvmSSEImus4KbvLVmC483cxxSf5rq9moZs3Djq4OKcFUcSY8rbCh7ugPdxTqHuplokJCakviU4egnC9XIS14OjSp1uKJNizsl59Zjq0dJKYaTW-aidfKrjYDt37idnn_GbQCrweQvobPTokw5myP-5VjJCZcXONtgQfEyTrrGNVhW9GmP65yEvL0FfNe94VPldyB_VH7re</recordid><startdate>20000201</startdate><enddate>20000201</enddate><creator>Verwey, Willem B.</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><general>Taylor and Francis</general><general>Taylor & Francis LLC</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ICWRT</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TS</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>20000201</creationdate><title>On-line driver workload estimation. Effects of road situation and age on secondary task measures</title><author>Verwey, Willem B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-ff37ca668c05eef3cbc868bf96b46ddb934c47497d237f8b9693350dcd87cbbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Adaptive Interfaces</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Applied physiology</topic><topic>Automobile drivers</topic><topic>Automobile Driving</topic><topic>Biological and medical sciences</topic><topic>Driver Workload</topic><topic>Elderly</topic><topic>Ergonomics. Work place. Occupational physiology</topic><topic>Estimation</topic><topic>Female</topic><topic>Human physiology applied to population studies and life conditions. 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Academic</collection><jtitle>Ergonomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Verwey, Willem B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On-line driver workload estimation. Effects of road situation and age on secondary task measures</atitle><jtitle>Ergonomics</jtitle><addtitle>Ergonomics</addtitle><date>2000-02-01</date><risdate>2000</risdate><volume>43</volume><issue>2</issue><spage>187</spage><epage>209</epage><pages>187-209</pages><issn>0014-0139</issn><eissn>1366-5847</eissn><coden>ERGOAX</coden><abstract>In order to develop a driver-car interface that adapts the presentation of messages generated by in-vehicle information systems to driver workload, two experiments investigated potential determinants of driver visual and mental workload as indicated by performance on two secondary tasks. Experiment 1 suggested that road situation is a major determinant of visual and mental workload of the driver and that the processing resources of older drivers are somewhat more limited than those of younger and middle-aged drivers. Familiarity with the area of driving (when guided) and time of day (associated with traffic density) showed no secondary task effects. Experiment 2 showed that the categorization of road situations, proposed in Experiment 1, could underlie adaptation of visually loading messages to the workload incurred by driving. This was not found with respect to mentally loading messages.</abstract><cop>London</cop><cop>Washington, DC</cop><pub>Taylor & Francis Group</pub><pmid>10675058</pmid><doi>10.1080/001401300184558</doi><tpages>23</tpages></addata></record> |
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subjects | Adaptive Interfaces Adult Age Factors Aged Applied physiology Automobile drivers Automobile Driving Biological and medical sciences Driver Workload Elderly Ergonomics. Work place. Occupational physiology Estimation Female Human physiology applied to population studies and life conditions. Human ecophysiology Humans Interfaces Male Man-Machine Systems Medical sciences Mental Processes Middle Aged Navigation systems Older people Secondary Tasks Space life sciences Task Performance and Analysis Workload |
title | On-line driver workload estimation. Effects of road situation and age on secondary task measures |
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