Eye-tracking feature extraction for biometric machine learning

JZ Lim, J Mountstephens, J Teo - Frontiers in neurorobotics, 2022 - frontiersin.org
Context Eye tracking is a technology to measure and determine the eye movements and eye
positions of an individual. The eye data can be collected and recorded using an eye tracker …

Eyes on me: Investigating the role and influence of eye-tracking data on user modeling in virtual reality

D Jeong, M Jeong, U Yang, K Han - Plos one, 2022 - journals.plos.org
Research has shown that sensor data generated by a user during a VR experience is
closely related to the user's behavior or state, meaning that the VR user can be quantitatively …

Predicting Trending Elements on Web Pages Using Machine Learning

N Shekh Khalil, S Eraslan… - International Journal of …, 2023 - Taylor & Francis
Eye-tracking data can be used to understand how users interact with web pages.
Understanding the eye-movement sequences of multiple users is a challenging task …

The Application of Eye Tracking on User Experience in Virtual Reality

C Su, M Huang, J Zhang, R Yang - 2023 IEEE 2nd International …, 2023 - ieeexplore.ieee.org
The field of human-computer interaction in virtual reality (VR) has been extensively
researched in recent years. In addition to the traditional interaction with the head-mounted …

Evaluating The Usability of Massive Open Online Course User Interface Based on Eye-Tracker Data

H Herlina, KA Nugraha - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Massive Open Online Course (MOOC) is a learning platform widely used today, especially
since the Covid-19 pandemic. MOOC allows someone to gain knowledge from various …

Weighted voting-based effective free-viewing attention prediction on web image elements

S Vidyapu, VS Vedula… - Interacting with …, 2020 - academic.oup.com
Quantifying and predicting the user attention on web image elements finds applications in
synthesis and rendering of elements on webpages. However, the majority of the existing …