@article{ref1,
title="Self-regulation of driving speed among distracted drivers: an application of driver behavioural adaptation theory",
journal="Traffic injury prevention",
year="2017",
author="Oviedo-Trespalacios, Oscar and Haque, Md Mazharul and King, Mark and Washington, Simon",
volume="18",
number="6",
pages="599-605",
abstract="OBJECTIVE: The adaptive behaviour of mobile phone distracted drivers has been a topic of much discussion in the recent literature. Both simulator and naturalistic studies suggests that distracted drivers generally select lower driving speeds; however, speed adaptation is not observed among all drivers, and the mechanisms of speed selection are not well understood. The aim of this research was to apply a driver behavioural adaptation model to investigate the speed adaptation of mobile phone distracted drivers. <br><br>METHODS: The speed selection behaviour of drivers was observed in three phone conditions including baseline (no conversation), hands-free and handheld phone conversations in a high-fidelity driving simulator. Speed adaptation in each phone condition was modelled as a function of secondary task demand and self-reported personal/psychological characteristics with a system of seemingly unrelated equations (SURE) accounting for potential correlations due to repeated measures experiment design. <br><br>RESULTS: Speed adaptation is similar between hands-free and handheld phone conditions, but the predictors of speed adaptation vary across the phone conditions. While perceived workload of secondary task demand, self-efficacy, attitude towards safety, and driver demographics were significant predictors of speed adaptation in the handheld condition, drivers' familiarity with the hands-free interface, attitude towards safety, and sensation seeking were significant predictors in the hands-free condition. Drivers who reported more positive safety attitudes selected lower driving speeds while using phones. <br><br>CONCLUSION: This research confirmed that behavioural adaptation models are suitable for explaining speed adaptation of mobile phone distracted drivers, and future research could be focused on further theoretical refinement.<p /> <p>Language: en</p>",
language="en",
issn="1538-9588",
doi="10.1080/15389588.2017.1278628",
url="http://dx.doi.org/10.1080/15389588.2017.1278628"
}