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Traditionally, workload is measured using physiological sensors that require often intrusive and expensive equipment. Another approach may be to use vehicle telemetry data as a performance measure for workload. In this paper, the authors present the Warwick-JLR Driver Monitoring Dataset (DMD) and analyse it to investigate the feasibility of using vehicle telemetry data for determining the driver workload. They perform a statistical analysis of subjective ratings, physiological data, and vehicle telemetry data collected during a track study. A data mining methodology is then presented to build predictive models using this data, for the driver workload monitoring problem.<\/jats:p>","DOI":"10.4018\/ijmhci.2017070104","type":"journal-article","created":{"date-parts":[[2017,5,3]],"date-time":"2017-05-03T16:24:23Z","timestamp":1493828663000},"page":"54-72","source":"Crossref","is-referenced-by-count":0,"title":["Investigating the Feasibility of Vehicle Telemetry Data as a Means of Predicting Driver Workload"],"prefix":"10.4018","volume":"9","author":[{"given":"Phillip","family":"Taylor","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Warwick, Coventry, UK"}]},{"given":"Nathan","family":"Griffiths","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Warwick, Coventry, UK"}]},{"given":"Abhir","family":"Bhalerao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Warwick, Coventry, UK"}]},{"given":"Zhou","family":"Xu","sequence":"additional","affiliation":[{"name":"Jaguar and Land Rover Research, Coventry, UK"}]},{"given":"Adam","family":"Gelencser","sequence":"additional","affiliation":[{"name":"Jaguar and Land Rover Research, Coventry, UK"}]},{"given":"Thomas","family":"Popham","sequence":"additional","affiliation":[{"name":"Jaguar and Land Rover Research, Coventry, UK"}]}],"member":"2432","reference":[{"key":"ijmhci.2017070104-0","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6309-2"},{"key":"ijmhci.2017070104-1","first-page":"1","article-title":"Temporal data mining: An overview","author":"C.Antunes","year":"2001","journal-title":"KDD workshop on temporal data mining"},{"key":"ijmhci.2017070104-2","unstructured":"Cain, B. 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