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Primary, secondary, subjective, and physiological measures were collected and integrated into a cognitive distraction scale.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>In-vehicle activities, such as listening to the radio or an audio book, were associated with a low level of cognitive workload; the conversation activities of talking to a passenger in the vehicle or conversing with a friend on a handheld or hands-free cell phone were associated with a moderate level of cognitive workload; and using a speech-to-text interfaced e-mail system involved a high level of cognitive workload.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The research established that there are significant impairments to driving that stem from the diversion of attention from the task of operating a motor vehicle and that the impairments to driving are directly related to the cognitive workload of these in-vehicle activities. Moreover, the adoption of voice-based systems in the vehicle may have unintended consequences that adversely affect traffic safety.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Application:<\/jats:title>\n                    <jats:p>These findings can be used to help inform scientifically based policies on driver distraction, particularly as they relate to cognitive distraction stemming from the diversion of attention to other concurrent activities in the vehicle.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0018720815575149","type":"journal-article","created":{"date-parts":[[2015,11,3]],"date-time":"2015-11-03T14:11:38Z","timestamp":1446559898000},"page":"1300-1324","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":198,"title":["Assessing Cognitive Distraction in the Automobile"],"prefix":"10.1177","volume":"57","author":[{"given":"David L.","family":"Strayer","sequence":"first","affiliation":[]},{"given":"Jonna","family":"Turrill","sequence":"additional","affiliation":[{"name":"University of Utah, Salt Lake City"}]},{"given":"Joel M.","family":"Cooper","sequence":"additional","affiliation":[{"name":"Precision Driving Research, Salt Lake City, Utah"}]},{"given":"James R.","family":"Coleman","sequence":"additional","affiliation":[{"name":"University of Utah, Salt Lake City"}]},{"given":"Nathan","family":"Medeiros-Ward","sequence":"additional","affiliation":[{"name":"University of Illinois, Urbana-Champaign"}]},{"given":"Francesco","family":"Biondi","sequence":"additional","affiliation":[{"name":"University of Padova, Padova, Italy"}]}],"member":"179","published-online":{"date-parts":[[2015,11,3]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1037\/e729342011-001"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2008.01.009"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720813480177"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/0956797613504966"},{"key":"e_1_3_3_6_1","doi-asserted-by":"crossref","unstructured":"Dingus T. 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