RETRACTED ARTICLE: Eye tracking: empirical foundations for a minimal reporting guideline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 …

Eye tracking algorithms, techniques, tools, and applications with an emphasis on machine learning and Internet of Things technologies

AF Klaib, NO Alsrehin, WY Melhem… - Expert Systems with …, 2021 - Elsevier
Eye tracking is the process of measuring where one is looking (point of gaze) or the motion
of an eye relative to the head. Researchers have developed different algorithms and …

A review of gaze entropy as a measure of visual scanning efficiency

B Shiferaw, L Downey, D Crewther - Neuroscience & Biobehavioral …, 2019 - Elsevier
While the concept of entropy has been applied to gaze analysis, it is unclear what aspects of
visual scanning it measures. In this review, we first outline gaze control as a complex system …

ScanDMM: A deep markov model of scanpath prediction for 360deg images

X Sui, Y Fang, H Zhu, S Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Scanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on
the human visual perception mechanism. Most existing scanpath prediction methods for …

English speech recognition based on deep learning with multiple features

Z Song - Computing, 2020 - Springer
Abstract English is one of the widely used languages, with the shrinking of the global village,
the smart home, the in-vehicle voice system and voice recognition software with English as …

Ehtask: Recognizing user tasks from eye and head movements in immersive virtual reality

Z Hu, A Bulling, S Li, G Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Understanding human visual attention in immersive virtual reality (VR) is crucial for many
important applications, including gaze prediction, gaze guidance, and gaze-contingent …

Do transformer models show similar attention patterns to task-specific human gaze?

O Eberle, S Brandl, J Pilot… - Proceedings of the 60th …, 2022 - aclanthology.org
Learned self-attention functions in state-of-the-art NLP models often correlate with human
attention. We investigate whether self-attention in large-scale pre-trained language models …

Teachers' professional vision in action

Y Huang, KF Miller, KS Cortina… - Zeitschrift für …, 2021 - econtent.hogrefe.com
In need of simultaneously tackling various tasks at a fast pace, teaching is a job that requires
skillful attention allocation. Selective visual attention forms the basis of teacher's …

Encodji: encoding gaze data into emoji space for an amusing scanpath classification approach

W Fuhl, E Bozkir, B Hosp, N Castner, D Geisler… - Proceedings of the 11th …, 2019 - dl.acm.org
To this day, a variety of information has been obtained from human eye movements, which
holds an imense potential to understand and classify cognitive processes and states-eg …

State-of-the-art in human scanpath prediction

M Kümmerer, M Bethge - arXiv preprint arXiv:2102.12239, 2021 - arxiv.org
The last years have seen a surge in models predicting the scanpaths of fixations made by
humans when viewing images. However, the field is lacking a principled comparison of …