Dear Colleagues,

We would like to inform you that the Special Issue “Latest Research on Eye Tracking Applications” in Applied Sciences (IF: 2.7, ISSN 2076-3417) is now open to receive submissions. This Special Issue belongs to the section “Computing and Artificial Intelligence”.

Special Issue Information:

Eye tracking constitutes a powerful technology which can be used for the examination of visual behavior and strategy during the observation of different types of (audio)visual stimuli presented either on a digital monitor, in the physical (real world) space, as well as in a virtual/augmented reality environment. At the same time, eye tracking has the potential to enhance the human–computer interaction experience by providing the ability to manipulate modern digital devices with human eyes. Nowadays, considering the huge amount of eye tracking applications available in various and different scientific/research and professional domains, gaze data collection, analysis, visualization, and modeling face several challenges. Such challenges mainly include the manipulation of big gaze data, the performance of remote (through the internet) experimentation, the semantic extraction of valuable knowledge from collected gaze data, gaze data synchronization during combined implementation with other experimental techniques, and real-time and/or post-experimental data collection using low-cost solutions (including webcams).

This Special Issue aims to collect high-quality original research papers, review studies, and short communications in any field connected to eye tracking research and technology. There is no restriction on the length of the submitted manuscripts. New techniques, methods, procedures, experimental frameworks, and applications related to eye tracking technology and analysis are welcome. Moreover, authors are encouraged to share innovative and open source software (e.g., a toolbox) for gaze data recording, processing, analysis, and/or visualization, as well as open access and well-documented eye tracking datasets acquired over diverse or original types of visual stimuli or conditions.

More specifically, potential topics include, but are not limited to, the following:

• Research on eye tracking hardware development

• Low-cost eye tracking solutions

• Event detection algorithms in eye tracking data

• Gaze data analysis and visualization software

• Eye tracking in laboratory, real world, and web environment

• Human–computer interaction applications

• Gaze datasets

• Eye tracking studies and applications in different research domains

We welcome comprehensive and systematic literature reviews on any of the aforementioned topics.

Keywords: eye tracking; eye movements; eye movement events detection; gaze data analysis; gaze data modeling;gaze data visualization; eye tracking hardware; eye tracking datasets; eye tracking data toolboxes; gaze interaction; webcam eye tracking; low-cost eye tracking

Deadline for manuscript submissions: 6 December 2024

For more information about the submission process and the article processing charges, please visit the website of the Special Issue:

https://www.mdpi.com/journal/applsci/special_issues/99E2K700SK

Please do not hesitate to contact us in order to express your interest and/or if you have any questions.

We look forward to your contributions.

Kind regards,
Dr. Vassilios Krassanakis (Department of Surveying and Geoinformatics Engineering, School of Engineering, University of West Attica, Greece)
Dr. Erwan David (Computer Science Laboratory (LIUM), Le Mans University, Le Mans, France)
Dr. Olivier Le Meur (InterDigital R&D, Rennes, France)
Guest Editors

Dr. Vassilios Krassanakis | Assistant Professor
University of West Attica | Department of Surveying and Geoinformatics Engineering Egaleo Park Campus, Ag. Spyridonos Str., 12243 Egaleo (Athens), Greece  Building: K10 | Office: K10.101 | Email: krasvas@uniwa.gr | Tel.: (+30) 210 538 7345
Webpages:  [UNIWA]: https://geo.uniwa.gr/en/profile/krassanakis-vassilios/  [Personal]: https://sites.google.com/site/vassilioskrassanakis   [GitHub]: https://github.com/krasvas [Google Scholar]: https://scholar.google.gr/citations?user=62pBQHwAAAAJ&hl=el&oi=ao  [Scopus]: https://www.scopus.com/authid/detail.uri?authorId=56094634800 [Web of Science]: https://www.webofscience.com/wos/author/record/2292078  [Semantic Scholar]: https://www.semanticscholar.org/author/Vassilios-Krassanakis/3163032   [ResearchGate]: https://www.researchgate.net/profile/Vassilios-Krassanakis [ORCID]: https://orcid.org/0000-0002-3030-4203