Review of eye tracking metrics involved in emotional and cognitive processes

V Skaramagkas, G Giannakakis… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] COLET: A dataset for COgnitive workLoad estimation based on eye-tracking

E Ktistakis, V Skaramagkas, D Manousos… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective: The cognitive workload is an important component in
performance psychology, ergonomics, and human factors. Publicly available datasets are …

Comparing the impacts of various inputs (I+ 1 & I-1) on pre-intermediate EFL learners' reading comprehension and reading motivation: The case of Ahvazi learners

E Namaziandost, M Nasri, M Ziafar - Asian-Pacific Journal of Second and …, 2019 - Springer
Considering the vital role of comprehensible input, this study attempted to compare the
effects of input with various difficulty levels on Iranian EFL learners' reading comprehension …

Assessing user experience of text readability with eye tracking in virtual reality

T Kojic, M Vergari, S Möller, JN Voigt-Antons - International Conference on …, 2022 - Springer
Virtual Reality (VR) technology is mostly used in gaming, videos, engineering applications,
and training simulators. One thing which is shared among all of them is the necessity to …

Biometric identification through eye-movement patterns

A Bayat, M Pomplun - Advances in Human Factors in Simulation and …, 2018 - Springer
This paper describes how to identify unique individual readers using their eye-movement
patterns. A case study including forty participants was conducted in order to measure eye …

Texts with various levels of hardness, reading comprehension and reading motivation: I+ 1 versus i-1

E Namaziandost, FR Esfahani… - ELT Forum: Journal of …, 2019 - journal.unnes.ac.id
Considering the vital role of comprehensible input, this study attempted to compare the
effects of input with various difficulty levels on Iranian EFL learners’ reading …

Scene grammar in human and machine recognition of objects and scenes

A Bayat, H Do Koh, A Kumar Nand… - Proceedings of the …, 2018 - openaccess.thecvf.com
In this paper, we study the effects of violating the high level scene syntactic and semantic
rules on human eye-movement behavior and deep neural scene and object recognition …

La pupilometría y el eye tracking como herramientas del neuromarketing

CAS Olarte - Vivat Academia, 2021 - vivatacademia.net
Estudiar el comportamiento humano en el momento de la toma de decisiones económicas
es importante, debido a que las mismas están sesgadas por las emociones y los instintos …

Deep semi-supervised learning

Z Hailat, A Komarichev, XW Chen - 2018 24th international …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) attain state-of-the-art performance on various
classification tasks assuming a sufficiently large number of labeled training examples …

EYE-CAPTCHA: An enhanced CAPTCHA using eye movement

A Siripitakchai, S Phimoltares… - 2017 3rd IEEE …, 2017 - ieeexplore.ieee.org
CAPTCHA is a system used to distinguish between human and machine, typically as a
method to prevent spam and automatic data extraction from a bot or an attacker. As a result …