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A Research Synthesis of Text Messaging and Driving Performance
Author(s) -
Jess K Caird,
Kate A. Johnston,
Chelsea R. Willness,
Mark Asbridge
Publication year - 2013
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1511
Subject(s) - workload , computer science , variety (cybernetics) , backtracking , control (management) , artificial intelligence , algorithm , operating system
To determine the effects of text messaging on driving performance, all available experimental studies that measured driving performance were identified through a variety of database searches and backtracking strategies, and analyzed using standard research synthesis methods. Fourteen studies with a total of 519 participants were coded and analyzed. Methodology, independent and dependent variables, and statistical analyses varied widely across studies, but conclusions were clear and convergent. Reaction time, crashes, longitudinal and lateral control, eye movements, hazard detection and subjective workload measures indicate significant decrements in driving performance while reading and typing text messages. The importance of the results for further policy development and methodological reporting is briefly introduced.

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