Profil

NIKNAM Sahar

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

ORCID
0000-0002-8021-1021
Main Referenced Co-authors
BOTEV, Jean  (4)
PICARD, Stéven  (3)
RONDINELLI, Valentina  (1)
Main Referenced Disciplines
Computer science (4)
Social & behavioral sciences, psychology: Multidisciplinary, general & others (3)

Publications (total 4)

The most downloaded
152 downloads
NIKNAM, S., & BOTEV, J. (2024). Predicting Cognitive Failures in Virtual Reality Using Pupillometry. In Proceedings of the 6th IEEE International Conference on Artificial Intelligence & Extended and Virtual Reality (AIxVR) (pp. 261-264). IEEE. doi:10.1109/AIxVR59861.2024.00043 https://hdl.handle.net/10993/60059

The most cited

1 citations (OpenAlex)

NIKNAM, S., & BOTEV, J. (2024). Predicting Cognitive Failures in Virtual Reality Using Pupillometry. In Proceedings of the 6th IEEE International Conference on Artificial Intelligence & Extended and Virtual Reality (AIxVR) (pp. 261-264). IEEE. doi:10.1109/AIxVR59861.2024.00043 https://hdl.handle.net/10993/60059

NIKNAM, S., PICARD, S., RONDINELLI, V., & BOTEV, J. (2024). Some Times Fly: The Effects of Engagement and Environmental Dynamics on Time Perception in Virtual Reality. In Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology (VRST). ACM. doi:10.1145/3641825.3687726
Peer reviewed

PICARD, S., BOTEV, J., & NIKNAM, S. (2024). Physiological Data, Fatigue, Task Performance, and Timing. Timing and Time Perception, 12 (3-4).
Peer Reviewed verified by ORBi

NIKNAM, S., & BOTEV, J. (2024). Predicting Cognitive Failures in Virtual Reality Using Pupillometry. In Proceedings of the 6th IEEE International Conference on Artificial Intelligence & Extended and Virtual Reality (AIxVR) (pp. 261-264). IEEE. doi:10.1109/AIxVR59861.2024.00043
Peer reviewed

PICARD, S., BOTEV, J., & NIKNAM, S. (2023). A Dynamic and Scriptable Environment and Framework for Stimulus-Based Cognitive Research in Virtual Reality. In Proceedings of the 22nd IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 387-392). IEEE. doi:10.1109/ISMAR-Adjunct60411.2023.00084
Peer reviewed

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