Oscar Oviedo-Trespalacios1,2, Md Mazharul Haque1,2, Mark King1, Simon Washington1,2. 1. a Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Faculty of Health , Kelvin Grove , Queensland , Australia. 2. b Queensland University of Technology (QUT), Civil Engineering and Built Environment, Science and Engineering Faculty , Brisbane , Queensland , Australia.
Abstract
OBJECTIVE: The adaptive behavior of mobile phone-distracted drivers has been a topic of much discussion in the recent literature. Both simulator and naturalistic studies suggest 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 behavioral adaptation model to investigate the speed adaptation of mobile phone-distracted drivers. METHODS: The speed selection behavior of drivers was observed in 3 phone conditions including baseline (no conversation) and hands-free and handheld phone conversations in a high-fidelity driving simulator. Speed adaptation in each phone condition was modeled 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. RESULTS: Speed adaptation is similar between hands-free and handheld phone conditions, but the predictors of speed adaptation vary across the phone conditions. Though perceived workload of secondary task demand, self-efficacy, attitude toward safety, and driver demographics were significant predictors of speed adaptation in the handheld condition, drivers' familiarity with the hands-free interface, attitude toward 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. CONCLUSION: This research confirmed that behavioral adaptation models are suitable for explaining speed adaptation of mobile phone distracted drivers, and future research could be focused on further theoretical refinement.
OBJECTIVE: The adaptive behavior of mobile phone-distracted drivers has been a topic of much discussion in the recent literature. Both simulator and naturalistic studies suggest 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 behavioral adaptation model to investigate the speed adaptation of mobile phone-distracted drivers. METHODS: The speed selection behavior of drivers was observed in 3 phone conditions including baseline (no conversation) and hands-free and handheld phone conversations in a high-fidelity driving simulator. Speed adaptation in each phone condition was modeled 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. RESULTS: Speed adaptation is similar between hands-free and handheld phone conditions, but the predictors of speed adaptation vary across the phone conditions. Though perceived workload of secondary task demand, self-efficacy, attitude toward safety, and driver demographics were significant predictors of speed adaptation in the handheld condition, drivers' familiarity with the hands-free interface, attitude toward 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. CONCLUSION: This research confirmed that behavioral adaptation models are suitable for explaining speed adaptation of mobile phone distracted drivers, and future research could be focused on further theoretical refinement.
Keywords:
Mobile phone distraction; distraction; driving simulator; dual-task; speed selection; young drivers
Authors: Răzvan Gabriel Boboc; Gheorghe Daniel Voinea; Ioana-Diana Buzdugan; Csaba Antonya Journal: Int J Environ Res Public Health Date: 2022-08-24 Impact factor: 4.614
Authors: Jorge Tiago Bastos; Pedro Augusto B Dos Santos; Eduardo Cesar Amancio; Tatiana Maria C Gadda; José Aurélio Ramalho; Mark J King; Oscar Oviedo-Trespalacios Journal: Int J Environ Res Public Health Date: 2020-09-03 Impact factor: 3.390