{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T22:11:50Z","timestamp":1767046310006,"version":"3.38.0"},"reference-count":23,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2015,11,3]],"date-time":"2015-11-03T00:00:00Z","timestamp":1446508800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Hum Factors"],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:p> Strayer et al.\u2019s conclusion that their \u201ccognitive distraction scale\u201d for auditory-vocal tasks indicates \u201csignificant impairments to driving\u201d is not supported by their data. Additional analysis demonstrates that slower brake reaction times during auditory-vocal tasks were fully compensated for by longer following distances to the lead car. Naturalistic driving data demonstrate that cellular conversation decreases crash risk, the opposite of the article\u2019s assumption. Hence, the scale\u2019s internal and external validities for indicating driving impairment are highly questionable. <\/jats:p>","DOI":"10.1177\/0018720815585053","type":"journal-article","created":{"date-parts":[[2015,11,3]],"date-time":"2015-11-03T19:11:38Z","timestamp":1446577898000},"page":"1334-1338","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["Driver Compensation"],"prefix":"10.1177","volume":"57","author":[{"given":"Richard A.","family":"Young","sequence":"first","affiliation":[{"name":"Wayne State University, Detroit, Michigan"}]}],"member":"179","published-online":{"date-parts":[[2015,11,3]]},"reference":[{"key":"bibr1-0018720815585053","doi-asserted-by":"crossref","unstructured":"Ahlstrom C., Kircher K., Thorslund B., Adell E. (2015). Bicyclists\u2019 visual strategies when conducting self-paced vs. system-paced smartphone tasks in traffic. 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