RETRACTED ARTICLE: Eye tracking: empirical foundations for a minimal reporting guideline
K Holmqvist, SL Örbom, ITC Hooge… - Behavior research …, 2023 - Springer
In this paper, we present a review of how the various aspects of any study using an eye
tracker (such as the instrument, methodology, environment, participant, etc.) affect the quality …
tracker (such as the instrument, methodology, environment, participant, etc.) affect the quality …
A review of eye tracking for understanding and improving diagnostic interpretation
Inspecting digital imaging for primary diagnosis introduces perceptual and cognitive
demands for physicians tasked with interpreting visual medical information and arriving at …
demands for physicians tasked with interpreting visual medical information and arriving at …
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
Stress has been identified as one of major contributing factors in car crashes due to its
negative impact on driving performance. It is in urgent need that the stress levels of drivers …
negative impact on driving performance. It is in urgent need that the stress levels of drivers …
Improving visual behavior research in communication science: An overview, review, and reporting recommendations for using eye-tracking methods
Eye tracking offers researchers an opportunity to collect an objective assessment of visual
behavior. Visual behavior—referring broadly to metrics and measures of gaze positioning …
behavior. Visual behavior—referring broadly to metrics and measures of gaze positioning …
How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving
Z Lu, X Coster, J De Winter - Applied ergonomics, 2017 - Elsevier
Drivers of automated cars may occasionally need to take back manual control after a period
of inattentiveness. At present, it is unknown how long it takes to build up situation awareness …
of inattentiveness. At present, it is unknown how long it takes to build up situation awareness …
SUPREYES: SUPer Resolutin for EYES Using Implicit Neural Representation Learning
We introduce SUPREYES–a novel self-supervised method to increase the spatio-temporal
resolution of gaze data recorded using low (er)-resolution eye trackers. Despite continuing …
resolution of gaze data recorded using low (er)-resolution eye trackers. Despite continuing …
Perception, information processing and modeling: Critical stages for autonomous driving applications
D Gruyer, V Magnier, K Hamdi, L Claussmann… - Annual Reviews in …, 2017 - Elsevier
Over the last decades, the development of Advanced Driver Assistance Systems (ADAS) has
become a critical endeavor to attain different objectives: safety enhancement, mobility …
become a critical endeavor to attain different objectives: safety enhancement, mobility …
Driver emotion recognition with a hybrid attentional multimodal fusion framework
Negative emotions may induce dangerous driving behaviors leading to extremely serious
traffic accidents. Therefore, it is necessary to establish a system that can automatically …
traffic accidents. Therefore, it is necessary to establish a system that can automatically …
Multimodal driver distraction detection using dual-channel network of CNN and Transformer
Distracted driving has become one of the main contributors to traffic accidents. It is therefore
of great interest for intelligent vehicles to establish a distraction detection system that can …
of great interest for intelligent vehicles to establish a distraction detection system that can …
A driver gaze estimation method based on deep learning
Car crashes are among the top ten leading causes of death; they could mainly be attributed
to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that …
to distracted drivers. An advanced driver-assistance technique (ADAT) is a procedure that …