Eye Tracking in the Age of AI: Explainability, Prediction, and Applications

Dear Colleagues,

Artificial intelligence is reshaping eye-tracking research by expanding its role from a measurement tool into a broader analytical and predictive framework for understanding human attention, cognition, and behavior. Recent advances in machine learning, computer vision, multimodal modeling, and wearable sensing have accelerated the use of AI-enhanced eye-tracking across a wide range of domains, including human–computer interaction, healthcare, immersive environments, education, driver monitoring, consumer neuroscience, and neuromarketing. At the same time, these developments raise important methodological questions concerning validity, interpretability, ecological relevance, reproducibility, and responsible use of behavioral data.

This Special Issue aims to bring together high-quality contributions that examine how AI-based eye-tracking technologies can be used to analyze, model, and predict human responses in both experimental and applied settings. We welcome original research, reviews, methodological papers, and interdisciplinary contributions addressing topics such as predictive gaze modeling, AI-supported analysis of eye-movement data, multimodal integration with EEG or other neurophysiological measures, visual attention and decision processes, user behavior in digital and physical environments, gaze-based interaction, and application-specific implementations in domains such as consumer research, medicine, education, XR/VR, and mobility.

We also encourage submissions that critically address the broader scientific implications of AI-enhanced eye tracking, including robustness, benchmarking, transparency, ethics, privacy, and the generalizability of predictive models across contexts and populations. By connecting methodological innovation with real-world applications, this Special Issue seeks to advance eye-tracking research as a key interface between computational intelligence and human behavior science.

Dr. Hedda Martina Šola
Prof. Dr. Jasenka Gajdoš Kljusurić
Guest Editors

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