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Eye-Tracking Techniques and Its Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 1298

Special Issue Editors


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Guest Editor
Faculty of Operation and Economics of Transport and Communications, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Interests: logistics; logistics infrastructure; transportation planning; transport and logistics services; regulation; marketing human–computer interaction

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Guest Editor
Department of Communications, University of Zilina, 01026 Zilina, Slovakia
Interests: transportation planning; logistics; marketing; e-business; human–computer interaction; communication; IT infrastructure; network architecture
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, "Eye-Tracking Techniques and Its Applications", aims to highlight the recent advances, methodologies, and diverse applications of eye-tracking technology.

This Special Issue’s focus is to present breakthroughs in eye-tracking hardware and software and to discuss the development of more accurate and user-friendly eye-tracking systems; it also seeks to explore how eye-tracking can enhance user experience, product design, and interactive systems. Moreover, it aims to explore novel methods for data collection, analysis, and interpretation in eye-tracking studies, highlighting techniques to improve the accuracy and reliability of eye-tracking data. Furthermore, the application of eye-tracking technology spans a wide range of disciplines, including psychology, neuroscience, marketing, education, and human–computer interaction.

This Special Issue will publish high-quality, original research papers in the following overlapping fields:

  • Technical developments in eye-tracking hardware and software
  • Innovations in calibration and validation techniques in eye-tracking research
  • Novel algorithms and models for the interpretation of eye-tracking data
  • Applications of eye-tracking in cognitive psychology and neuroscience
  • Human–computer interaction and usability studies using eye-tracking
  • Marketing and consumer research applications using eye-tracking
  • Educational technology and learning analytics using eye-tracking
  • Integration of eye-tracking with virtual reality
  • Clinical and medical applications of eye-tracking
  • Ethical considerations of privacy, consent, and data security in eye-tracking research
  • Practical challenges and solutions for conducting eye-tracking studies in real-world settings.

Dr. Lucia Madleňáková
Prof. Dr. Radovan Madleňák
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • eye-tracking technology
  • hardware and software
  • calibration and validation techniques
  • data collection and analysis
  • cognitive psychology and neuroscience
  • human–computer interaction
  • marketing and consumer research

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Published Papers (1 paper)

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Research

32 pages, 28110 KiB  
Article
Assessing Construction Near-Miss Detection Proficiency for Workers Under Stressor Conditions Using Psychophysiological Measures: An Eye-Tracking Investigation
by Shashank Muley, Chao Wang, Fereydoun Aghazadeh and Srikanth Sagar Bangaru
Appl. Sci. 2025, 15(3), 1558; https://doi.org/10.3390/app15031558 - 4 Feb 2025
Viewed by 958
Abstract
Despite the introduction of preventive safety measures, such as near-miss reporting, to mitigate accidents and minimize fatalities, construction workers are constantly exposed to stressful situations that negatively affect their safety behavior and reporting efficiency. Occupational stress is induced by various factors, with mental [...] Read more.
Despite the introduction of preventive safety measures, such as near-miss reporting, to mitigate accidents and minimize fatalities, construction workers are constantly exposed to stressful situations that negatively affect their safety behavior and reporting efficiency. Occupational stress is induced by various factors, with mental stress and auditory stress being common workplace stressors that impact workers on the job site. While previous studies have demonstrated the effect of stressor conditions on workers’ hazard recognition and safety performance, research gaps persist regarding the direct impact of workplace stressors on workers’ stress levels and near-miss recognition performance. This study investigates workers’ near-miss recognition ability through an eye-tracking experiment conducted in a controlled environment under mental and auditory stress conditions. The findings from this study reveal that workplace stressors triggered by mental and auditory stress can adversely affect worker stress levels, safety behavior, and cognitive processing toward near-miss recognition. Visual attention towards near-miss scenarios was reduced by 26% for mental stress conditions and by 46% for auditory stress conditions compared to baseline. The results may potentially open avenues for developing wearable stress prediction and safety intervention models using bio-sensing technology and personalized safety training programs tailored to individuals with low identification abilities. Full article
(This article belongs to the Special Issue Eye-Tracking Techniques and Its Applications)
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