AIMC Topic: Eye-Tracking Technology
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Objective Evaluation of Gaze Location Patterns Using Eye Tracking During Cystoscopy and Artificial Intelligence-Assisted Lesion Detection.
Journal of endourology
Apr 16, 2024
The diagnostic accuracy of cystoscopy varies according to the knowledge and experience of the performing physician. In this study, we evaluated the difference in cystoscopic gaze location patterns between medical students and urologists and assessed...
Early identification of autism spectrum disorder based on machine learning with eye-tracking data.
Journal of affective disorders
Apr 12, 2024
BACKGROUND: Early identification of autism spectrum disorder (ASD) improves long-term outcomes, yet significant diagnostic delays persist.
Exploring Cognitive Dysfunction in Long COVID Patients: Eye Movement Abnormalities and Frontal-Subcortical Circuits Implications via Eye-Tracking and Machine Learning.
The American journal of medicine
Apr 5, 2024
BACKGROUND: Cognitive dysfunction is regarded as one of the most severe aftereffects following coronavirus disease 2019 (COVID-19). Eye movements, controlled by several brain areas, such as the dorsolateral prefrontal cortex and frontal-thalamic circ...
More Is Not Always Better: Impacts of AI-Generated Confidence and Explanations in Human-Automation Interaction.
Human factors
Mar 4, 2024
OBJECTIVE: The study aimed to enhance transparency in autonomous systems by automatically generating and visualizing confidence and explanations and assessing their impacts on performance, trust, preference, and eye-tracking behaviors in human-automa...
Shedding light on ai in radiology: A systematic review and taxonomy of eye gaze-driven interpretability in deep learning.
European journal of radiology
Feb 1, 2024
X-ray imaging plays a crucial role in diagnostic medicine. Yet, a significant portion of the global population lacks access to this essential technology due to a shortage of trained radiologists. Eye-tracking data and deep learning models can enhance...
A framework for generalizable neural networks for robust estimation of eyelids and pupils.
Behavior research methods
Nov 28, 2023
Deep neural networks (DNNs) have enabled recent advances in the accuracy and robustness of video-oculography. However, to make robust predictions, most DNN models require extensive and diverse training data, which is costly to collect and label. In t...
Exploring the potential of eye tracking on personalized learning and real-time feedback in modern education.
Progress in brain research
Oct 24, 2023
Eye tracking is one of the techniques used to investigate cognitive mechanisms involved in the school context, such as joint attention and visual perception. Eye tracker has portability, straightforward application, cost-effectiveness, and infant-fri...
Eye-Tracking in Physical Human-Robot Interaction: Mental Workload and Performance Prediction.
Human factors
Oct 4, 2023
BACKGROUND: In Physical Human-Robot Interaction (pHRI), the need to learn the robot's motor-control dynamics is associated with increased cognitive load. Eye-tracking metrics can help understand the dynamics of fluctuating mental workload over the co...
Deep learning models for webcam eye tracking in online experiments.
Behavior research methods
Aug 22, 2023
Eye tracking is prevalent in scientific and commercial applications. Recent computer vision and deep learning methods enable eye tracking with off-the-shelf webcams and reduce dependence on expensive, restrictive hardware. However, such deep learning...
Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes.
IEEE reviews in biomedical engineering
Jan 5, 2023
Eye behaviour provides valuable information revealing one's higher cognitive functions and state of affect. Although eye tracking is gaining ground in the research community, it is not yet a popular approach for the detection of emotional and cogniti...
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