Eye Glance Behavior Associated with Cell-Phone Use

Bao, Shan; Flannagan, Carol A. C.; Xiong, Huimin; Sayer, James R.

doi:10.1177/1541931214581444

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Many researchers underline that mobile phones affect performance negatively. In fact, the visualmanual activities compromise the duration of the gaze on the area of interest, reducing it considerably [23,24]. For users, there are two important aspects during the driving action: their psychology, with the perception of the outside world; and their behaviour toward road users.…”

Section: Eye Tracking Applied To Road Safetymentioning

confidence: 99%

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

et al. 2023

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Cyclists are one of the main categories of road users particularly exposed to accident risk. The increasing use of this ecological means of transport requires a specific assessment of cyclist safety in terms of traffic flow and human factors. In this study, a particular visual tracking tool has been used to highlight not only the main critical points of the infrastructure, where a high level of distraction is recorded, but also the various interactions with different road users (pedestrians, vehicles, buses, wheelchairs, cyclists). To confirm the critical aspects of the infrastructure and the trend of workload, a similar circuit was reproduced in a bicycle simulator, which also allowed a meaningful comparison of cycling behaviour. The innovative component of this paper is a comparison between a real test, held in Stockholm, and a simulator where the same scenario has been represented, in order to highlight the objective differences in behaviour. The cycling performance was also evaluated both from an objective point of view, with the count of frames related to each category of visualization, and from a subjective one, through the questionnaires. The results show the crossing as a critical aspect because only 4/3% fixation is required for both simulated and real tests to confirm the significance of the comparison between the two experiments. The high attention rate, resulting from frame-by-frame analysis, also points to a clear difference in the perception of users, who feel with a low workload.

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Section: Eye Tracking Applied To Road Safetymentioning

confidence: 99%

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

et al. 2023

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“…To determine the impact of distraction on driving performance, eye glance behavior can examine the cause and extent of a drivers’ distraction. Past research has examined off-road glances (Bao et al, 2014; Gershon et al, 2019; Kircher & Ahlstrom, 2016; Klauer et al, 2014; Simons-Morton et al, 2014; Sodhi et al, 2002) to determine crash risk due to inattention. The odds of crash involvement increase when young drivers are dialing a cell phone, sending or receiving text messages, looking at roadside objects, eating, or conversing with passengers as compared to experienced drivers (Klauer et al, 2014; Neyens & Boyle, 2008).…”

Section: Introductionmentioning

confidence: 99%

Looking out or Looking Away?—Exploring the Impact of Driving With a Passenger on Young Drivers’ Eye Glance Behavior

2022

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Objective To explore how passenger presence and the degree of association between young driver and passenger influences young drivers’ eye glance behavior when they are subjected to distraction. Background Young drivers (18–20 years old) are at an elevated crash risk when subjected to distraction. They are likely to be distracted even further when they drive with passengers. However, the eye glance behavior of these drivers when driving with passengers has not been explored. Method Eye glance data of 34 young drivers between the ages of 18 and 20 years were collected. Participants drove with and without a passenger while subjected to three distracting tasks (visual-manual, cognitive, or visual-cognitive) and driving scenarios that required driver attention. Results Visual-cognitive as well as visual-manual states of distraction result in higher mean and standard deviation of glance duration, along with higher number of glances away from road. Passenger presence is found to negatively influence young drivers’ eye glance behavior. The degree of association between the young driver and the passenger may help reduce the deviation of eye glances towards the task-related objects. Conclusion In addition to distraction, passengers have a negative influence on the eye glance behavior of young drivers. However, a high degree of association between driver and passenger may mitigate the negative impact of distraction on the eye glance behavior of young drivers. Application (non-theoretical works) This research may aid in the design of interventions that improve young drivers’ eye glance behavior when they drive with their peers.

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A spectral power analysis of driving behavior changes during the transition from nondistraction to distraction

Wang

Bao

et al. 2017

Traffic Injury Prevention

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This study suggests that driver state detection needs to consider the behavior changes during the prestarting periods, instead of only focusing on periods with physical presence of distraction, such as cell phone use. Lateral control measures can be a better indicator of distraction detection than longitudinal controls. In addition, frequency domain analyses proved to be a more robust and consistent method in assessing driving performance compared to time domain analyses.

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Eye Glance Behavior Associated with Cell-Phone Use

Cited by 3 publications

References 7 publications

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

The Visual Behaviour of the Cyclist: Comparison between Simulated and Real Scenarios

Looking out or Looking Away?—Exploring the Impact of Driving With a Passenger on Young Drivers’ Eye Glance Behavior

A spectral power analysis of driving behavior changes during the transition from nondistraction to distraction

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