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Cited by 394

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Cell-Phone–Induced Driver Distraction

Strayer, David L., Drews, Frank A.·2007·Current Directions in Psychological Science

Abstract

Our research examined the effects of hands-free cell-phone conversations on simulated driving. We found that even when participants looked directly at objects in the driving environment, they were less likely to create a durable memory of those objects if they were conversing on a cell phone. This pattern was obtained for objects of both high and low relevance, suggesting that very little semantic analysis of the objects occurs outside the restricted focus of attention. Moreover, in-vehicle conversations do not interfere with driving as much as cell-phone conversations do, because drivers are better able to synchronize the processing demands of driving with in-vehicle conversations than with cell-phone conversations. Together, these data support an inattention-blindness interpretation wherein the disruptive effects of cell-phone conversations on driving are due in large part to the diversion of attention from driving to the phone conversation.

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Crossref · 10.1111/j.1467-8721.2007.00489.x

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Metadata

Authors
Strayer, D. L., & Drews, F. A.
Venue
Current Directions in Psychological Science
Published
2007-06
Volume
16
Issue
3
Pages
128-131
ISSN
  • 0963-7214 (ISSN-L)
  • 1467-8721
OpenAlex
W2118166874
Cited by
394
References
1
FWCI
21.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cell-Phone–Induced Driver Distraction. https://app.cochat.ai/papers/10.1111/j.1467-8721.2007.00489.x
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Strayer, D. L., & Drews, F. A. (2007). Cell-Phone–Induced Driver Distraction. Current Directions in Psychological Science. https://doi.org/10.1111/j.1467-8721.2007.00489.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.