Takeover quality prediction based on driver physiological state of different cognitive tasks in conditionally automated driving

J Zhu, Y Ma, Y Zhang, Y Zhang, C Lv - Advanced Engineering Informatics, 2023 - Elsevier
In conditionally automated driving, traffic safety problems would occur if the driver does not
properly take over the control authority when the request of automated system arises …

[HTML][HTML] Scan-based eye tracking measures are predictive of workload transition performance

SP Devlin, NL Brown, S Drollinger, C Sibley, J Alami… - Applied ergonomics, 2022 - Elsevier
Given there is no unifying theory or design guidance for workload transitions, this work
investigated how visual attention allocation patterns could inform both topics, by …

Drivers' Ability to Detect Traffic Signs on Curves with the Presence of Clutter in the Visual Field: A Systematic Review

T Yared - Transportation Research Record, 2024 - journals.sagepub.com
Road accidents are a leading cause of death worldwide. Driver performance and safety can
be compromised by various factors, including those related to driver behavior, the road and …

The effects of language barriers and time constraints on online learning performance: An eye-tracking study

AA Jónsdóttir, Z Kang, T Sun, S Mandal… - Human …, 2023 - journals.sagepub.com
Objective The goal of this study is to model the effect of language use and time pressure on
English as a first language (EFL) and English as a second language (ESL) students by …

Improving accuracy of gaze‐control tools: Design recommendations for optimum position, sizes, and spacing of interactive objects

Y Niu, H Zuo, X Yang, C Xue, N Peng… - Human Factors and …, 2021 - Wiley Online Library
To investigate a suitable design of interactive objects in the fixation‐triggered eye‐control
interface, this study conducted two ergonomic experiments based on the location of an …

[HTML][HTML] Entropy-based effect evaluation of delineators in tunnels on drivers' gaze behavior

X Han, Y Shao, S Yang, P Yu - Entropy, 2020 - mdpi.com
Driving safety in tunnels has always been an issue of great concern. Establishing
delineators to improve drivers' instantaneous cognition of the surrounding environment in …

[HTML][HTML] The static and dynamic analyses of drivers' gaze movement using vr driving simulator

J Chung, H Lee, H Moon, E Lee - Applied Sciences, 2022 - mdpi.com
Drivers collect information of road and traffic conditions through a visual search while driving
to avoid any potential hazards they perceive. Novice drivers with lack of driving experience …

Eye tracking data analytics in virtual reality training: Application in Deepwater Horizon oil drilling operation

Z Kang, J Jeon, S Salehi - Proceedings of the Human …, 2020 - journals.sagepub.com
Virtual reality (VR) enable us to train in a safe environment using computer-generated
simulations. One such simulated environment is the Deepwater Horizon operation, and VR …

A jensen-shannon divergence driven metric of visual scanning efficiency indicates performance of virtual driving

Z Lv, Q Xu, K Schoeffmann… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Visual scanning plays an important role in sampling visual information from the surrounding
environments for a lot of everyday sensorimotor tasks, such as driving. In this paper, we …

Eye movement based information system indicates human behavior in virtual driving

Z Peng, Q Xu, R Zhang, K Schoeffmann, S Parkinson - bioRxiv, 2022 - biorxiv.org
Humans modulate the behavior flexibly after timely receiving and processing information
from the environment. To better understand and measure human behavior in the driving …