Capturing Voluntary, Involuntary, and Habitual Components of Driver Distraction in a Self-Reported Questionnaire

Marulanda, Susana; Chen, Huei-Yen Winnie; Donmez, Birsen

doi:10.17077/drivingassessment.1594

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…For several drivers this commenced very soon after obtaining their driving license. Marulanda and colleagues (2015) have argued that risky driving behavior can involve both intentional behavior based on controlled cognitive processing and habitual behavior based on autonomous processing. There is a link between the two, with habitual risky driving once being “intentional and goal-driven” (p. 352).…”

Section: Discussionmentioning

confidence: 99%

Pathways toward driver disqualification and implications for road safety policy and practice.

Sarma¹,

Cox²

2023

Psychology, Public Policy, and Law

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Road traffic collisions are preventable events. Those who engage in the most serious forms of road traffic offending are disproportionately responsible for serious injuries and fatalities on the road. Understanding the processes that are implicated in serious road traffic offending can highlight potentially fruitful fulcra for enhancing road safety. Semistructured interviews were conducted with 30 drivers who had been disqualified in the previous 5 years and had regained their driving licenses. Participants were recruited with the support of the national authority for road safety in Ireland (the Road Safety Authority) and self-selected to be interviewed following an extensive recruitment campaign. Transcripts were analyzed using Thematic Analysis. The processes leading to driver disqualification involve a range of interacting factors that include early life experiences, pro-offending cognitions, precipitating stressors and normalization processes. These processes can be usefully synthesized using social ecology models of behavior that focus on the interplay between different personal and contextual factors in determining behavior. Findings suggest that processes leading to disqualification vary widely, pointing to the need for road safety strategies that are sensitive to the complexity of serious road traffic offenses and interventions that have multiple aspects sensitive to the varying processes involved.

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Section: Discussionmentioning

confidence: 99%

Pathways toward driver disqualification and implications for road safety policy and practice.

Sarma¹,

Cox²

2023

Psychology, Public Policy, and Law

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“…In light of the past research, distracted driving could be either intentional and voluntary, which occurs when drivers divert their attention from the driving tasks, or involuntary due to a failure to ignore non-related stimuli that motivates drivers to become distracted [ 33 , 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity

Herrero

Febres

Boulagouas

et al. 2021

IJERPH

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Multitasking while driving negatively affects driving performance and threatens people’s lives every day. Moreover, technology-based distractions are among the top driving distractions that are proven to divert the driver’s attention away from the road and compromise their safety. This study employs recent data on road traffic accidents that occurred in Spain and uses a machine-learning algorithm to analyze, in the first place, the influence of technology-based distracted driving on drivers’ infractions considering the gender and age of the drivers and the zone and the type of vehicle. It assesses, in the second place, the impact of drivers’ infractions on the severity of traffic accidents. Findings show that (i) technology-based distractions are likely to increase the probability of committing aberrant infractions and speed infractions; (ii) technology-based distracted young drivers are more likely to speed and commit aberrant infractions; (iii) distracted motorcycles and squad riders are found more likely to speed; (iv) the probability of committing infractions by distracted drivers increases on streets and highways; and, finally, (v) drivers’ infractions lead to serious injuries.

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“…On one hand, drivers may intentionally engage with notifications (e.g., texting a response to an incoming message), a visual-manual task that is known to increase crash risk considerably when performed on a handheld phone (Fitch et al, 2013). On the other hand, with or without intending to engage with notifications, drivers may be involuntarily affected by the auditory, visual, and/or tactile alerts that accompany notifications (Marulanda, Chen, & Donmez, 2015;Regan, Hallett, & Gordon, 2011). The sudden onset of peripheral visual stimuli (without message content), for example, has been shown to attract visual attention and degrade accelerator release times in response to lead vehicle braking events (Hoekstra-Atwood, 2015;Hoekstra-Atwood, Chen, Giang, & Donmez, 2014).…”

Section: Introductionmentioning

confidence: 99%

Smartwatches vs. Smartphones

Giang

Chen

Donmez

2017

International Journal of Mobile Human Computer Interaction

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This work seeks to understand whether the unique features of a smartwatch, compared to a smartphone, mitigate or exacerbate driver distraction due to notifications, and to provide insights about drivers' perceptions of the risks associated with using smartwatches while driving. As smartwatches are gaining popularity among consumers, there is a need to understand how smartwatch use may influence driving performance. Previous driving research has examined voice calling on smartwatches, but not interactions with notifications, a key marketed feature. Engaging with notifications (e.g., reading and texting) on a handheld device is a known distraction associated with increased crash risks. Two driving simulator studies compared smartwatch to smartphone notifications. Experiment I asked participants to read aloud brief text notifications and Experiment II had participants manually select a response to arithmetic questions presented as notifications. Both experiments investigated the resulting glances to and physical interactions with the devices, as well as self-reported risk perception. Experiment II also investigated driving performance and self-reported knowledge/expectation about legislation surrounding the use of smart devices while driving. Experiment I found that participants were faster to visually engage with the notification on the smartwatch than the smartphone, took longer to finish reading aloud the notifications, and exhibited more glances longer than 1.6 s. Experiment II found that participants took longer to reply to notifications and had longer overall glance durations on the smartwatch than the smartphone, along with longer brake reaction times to lead vehicle braking events. Compared to the no device baseline, both devices increased lane position variability and resulted in higher self-reported perceived risk. Experiment II participants also considered that smartwatch use while driving deserves penalties equal to or less than smartphone use. The findings suggest that smartwatches may have road safety consequences. Given the common view among participants to associate smartwatch use with equal or less traffic penalties than smartphone use, there may be a disconnect between drivers' actual performance and their perceptions about smartwatch use while driving.

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Capturing Voluntary, Involuntary, and Habitual Components of Driver Distraction in a Self-Reported Questionnaire

Cited by 3 publications

References 20 publications

Pathways toward driver disqualification and implications for road safety policy and practice.

Pathways toward driver disqualification and implications for road safety policy and practice.

Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity

Smartwatches vs. Smartphones

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