Driving fatigue increases after the Spring transition to Daylight Saving Time in young male drivers: A pilot study

Orsini, Federico; Giusti, Gianluca; Zarantonello, Lisa; Costa, Rodolfo; Montagnese, Sara; Rossi, Riccardo

doi:10.1016/j.trf.2023.10.014

Cited by 5 publications

(1 citation statement)

References 69 publications

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“…The eye-tracking device is widely used to assess gaze behaviors in real-world driving [28][29][30]. Recent eye-tracking studies have identified the role of look-ahead fixation in road safety [31][32][33] and how the device can be employed to assess cognitive load [27,34] and driving fatigue [35]. After completing the task, we used Tobii Pro Lab Software (version 1.171) to analyze the drivers' eye movement during the task.…”

Section: Eye-tracking Systemmentioning

confidence: 99%

Decreased Visual Search Behavior in Elderly Drivers during the Early Phase of Reverse Parking, But an Increase during the Late Phase

Kim,

Kondo,

Noguchi

et al. 2023

Sensors

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The aim of this study was to assess the characteristics of visual search behavior in elderly drivers in reverse parking. Fourteen healthy elderly and fourteen expert drivers performed a perpendicular parking task. The parking process was divided into three consecutive phases (Forward, Reverse, and Straighten the wheel) and the visual search behavior was monitored using an eye tracker (Tobii Pro Glasses 2). In addition, driving-related tests and quality of life were evaluated in elderly drivers. As a result, elderly drivers had a shorter time of gaze at the vertex of the parking space both in direct vision and reflected in the driver-side mirror during the Forward and the Reverse phases. In contrast, they had increased gaze time in the passenger-side mirror in the Straighten the wheel phase. Multiple regression analysis revealed that quality of life could be predicted by the total gaze time in the Straighten the wheel phase (β = −0.45), driving attitude (β = 0.62), and driving performance (β = 0.58); the adjusted R2 value was 0.87. These observations could improve our understanding of the characteristics of visual search behavior in parking performance and how this behavior is related to quality of life in elderly drivers.

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