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Dive into the research topics where Adrian Vulpe-Grigorasi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 3 Conference contribution
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Assessing Cognitive Load in Distraction and Task Switching: Implications for Developing Realistic Clinical XR Training
Vulpe-Grigorasi, A., Gollan, B. & Leung, V., 1 Mar 2025, (Accepted/In press) Advances in Computer Graphics - 41st Computer Graphics International Conference, CGI 2024, Proceedings. Magnenat-Thalmann, N., Kim, J., Sheng, B., Deng, Z., Thalmann, D. & Li, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 84-98 15 p. (Lecture Notes in Computer Science; vol. 15339 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Citation (Scopus) -
Attention performance classification based on eye tracking and machine learning
Vulpe-Grigorasi, A., Kren, Z., Slijepcevic, D., Schmied, R. & Leung, V., 2024, 2024 IEEE 17th International Scientific Conference on Informatics, INFORMATICS 2024 - Proceedings. Novitzka, V. & Szakal, A. (eds.). Institute of Electrical and Electronics Engineers (IEEE), p. 431-435 5 p. (2024 IEEE 17th International Scientific Conference on Informatics, INFORMATICS 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Link opens in a new tab Citations (Scopus) -
Cognitive load assessment based on VR eye-tracking and biosensors
Vulpe-Grigorasi, A., 3 Dec 2023, MUM '23: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia. Michahelles, F., Knierim, P. & Hakkila, J. (eds.). New York: ACM - Association for Computing Machinery, p. 589-591 3 p. (MUM: Mobile and Ubiquitous Multimedia).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)29 Downloads (Pure)