Evaluating driver cognitive distraction by eye tracking: From simulator to driving

Son, Le Anh; Suzuki, Tatsuya; Aoki, Hirofumi

doi:10.1016/j.trip.2019.100087

Cited by 48 publications

(34 citation statements)

References 14 publications

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“…When driving on urban roads, the attention to the front is higher than that on the highway. In the real road driving environment, the visual attention of the driver bears more mental workload than the simulated environment [ 44 ]. A significant difference also exists between the results from the driving simulation and actual driving environment, and some researchers have also confirmed this view [ 18 , 21 , 45 ].…”

Section: Resultsmentioning

confidence: 99%

Drivers’ Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study

Ya-ping

et al. 2020

IJERPH

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In this study, an on-road driving experiment was designed to investigate the visual attention fixation and transition characteristics of drivers when they are under different cognitive workloads. First, visual attention was macroscopically analyzed through the entropy method. Second, the Markov glance one- and two-step transition probability matrices were constructed, which can study the visual transition characteristics under different conditions from a microscopic perspective. Results indicate that the fixation entropy value of male drivers is 23.08% higher than that of female drivers. Under the normal driving state, drivers’ fixation on in-vehicle systems is not continuous and usually shifts to the front and left areas quickly after such fixation. When under cognitive workload, drivers’ vision transition is concentrated only in the front and right areas. In mild cognitive workload, drivers’ sight trajectory is mainly focused on the distant front area. As the workload level increases, the transition trajectory shifts to the junction near the front and far sides. The current study finds that the difference between an on-road test and a driving simulation is that during the on-road driving process, drivers are twice as attentive to the front area than to the driving simulator. The research provides practical guidance for the improvement of traffic safety.

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Section: Resultsmentioning

confidence: 99%

Drivers’ Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study

Ya-ping

et al. 2020

IJERPH

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“…Increased cognitive load leads to lower accuracy of vision stabilization reflexes. In [38] authors used this phenomenon to evaluate the amount of cognitive load. Authors predict such vision stabilization reflexes as vestibulo-ocular reflex and optokinetic response.…”

Section: B Distraction Detectionmentioning

confidence: 99%

“…Also, estimate the drivers hand positions to detect when the driver is removing hands from steering wheel [60]. Authors propose to perform analysis of eye and gaze behavior [51] as well as [38] head movements [44], detect talking [47] and analyze emotions in the driver's voice [39], and to evaluate the driving style [47], [37].…”

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confidence: 99%

Driver Distraction Detection Methods: A Literature Review and Framework

et al. 2021

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“…As distraction is generally underreported in national databases and police reports, previous research attempted to determine its potential sources and prevalence using surveys [11][12][13] and experimental testing [14][15][16][17][18]. Although survey questionnaires can be used to identify potentially distracting activities that lead to traffic crashes, major concerns arise as to the reliability of self-reported data.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

et al. 2021

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Roundabouts are considered as one of the most efficient forms of intersection that substantially reduce the types of crashes that result in injury or loss of life. Nevertheless, they do not eliminate collision risks, especially when human error plays such a large role in traffic crashes. In this study, we used a driving simulator and an eye tracker to investigate drivers’ eye movements under cell phone-induced distraction. A total of 45 drivers participated in two experiments conducted under distracted and non-distracted conditions. The results indicated that, under distracting conditions, the drivers’ fixation duration decreased significantly on roundabouts, and pupil size increased significantly.

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Evaluating driver cognitive distraction by eye tracking: From simulator to driving

Cited by 48 publications

References 14 publications

Drivers’ Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study

Drivers’ Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study

Driver Distraction Detection Methods: A Literature Review and Framework

Analysis of Drivers’ Eye Movements on Roundabouts: A Driving Simulator Study

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