Visualizing Eye-Tracking Dynamics for Predicting Human Error in Virtual Reality

Personalized neural networks; Cognitive failure; Cognitive load; Eye-tracking; Spatio-temporal representation; Data conversion; Virtual reality; Deep learning

Disciplines :

Computer science

Author, co-author :

GHAHREMANI, Tanaz ; University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Computer Science > Team Jean BOTEV

NIKNAM, Sahar ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Venedik, Berin; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

BOTEV, Jean ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

External co-authors :

Language :

English

Title :

Visualizing Eye-Tracking Dynamics for Predicting Human Error in Virtual Reality

Publication date :

2026

Event name :

ACM Conference on Human Factors in Computing Systems (CHI) 2026

Event organizer :

Association for computing machinery (ACM)

Event place :

Barcelona, Spain

Event date :

from 13 to 17 April 2026

Audience :

International

Main work title :

Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems

Publisher :

ACM

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 03 March 2026

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