معرفی
Jozsef Arato is a Research Fellow at the Vienna Cognitive Science Hub, University of Vienna, where he has worked as a senior scientist for data science since 2019. His research spans multiple interdisciplinary domains within cognitive science, with particular expertise in computational modeling of eye-movement patterns and visual statistical learning.
His research interests focus on understanding the principles that guide learning and decision-making through computational modeling approaches. He investigates how eye-movement patterns can reveal learning processes, comparing gaze patterns across different observers. His work spans diverse application areas including art perception, environmental psychology, and animal communication systems.
His publication record from 2020-2024 shows a strong focus on eye-tracking methodologies applied to art perception, with significant contributions to understanding how gaze patterns relate to aesthetic experiences. His research also extends to environmental conservation psychology and comparative studies of vocal learning in birds, demonstrating remarkable interdisciplinary breadth.
Dr. Arato has been actively involved in academic service, having served as Program Chair of the Pattern Recognition in Neuroimaging Summer School in 2020. He organizes the CogData reading group and contributes to the academic community through collaborative research projects.
As an educator, he teaches Scientific Computing in Python (TEWA 1) for the Psychology master's program at the University of Vienna. Previously, he taught Cognitive Modelling at both the University of Vienna and Eötvös University in Budapest, demonstrating his commitment to training the next generation of cognitive scientists and data analysts.
