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Datasets

Description	Corresponding Publication(s)
Dataset: QoE and Task Performance Assessment of Mobile Robot Teleoperation via a VR-based Interface (download here) The findings presented in this dataset are based on a user study conducted at the University of Zagreb, Faculty of Electrical Engineering and Computing in 2025. This dataset includes participant demographics, prior experience with XR devices, subjective ratings of quality and user preferences, as well as objective task performance metrics and eye gaze behaviour data. The data is provided in an Excel spreadsheet format. A detailed description of the test methodology is given in the corresponding publication.	Mateo Paladin, Lea Brzica, Filip Matanović, Damir Kljajić, and Lea Skorin-Kapov. 2025. QoE and Task Performance Assessment of Mobile Robot Teleoperation via a VR-based Interface. In Proceedings of the 17th International Conference on Quality of Multimedia Experience (QoMEX). Institute of Electrical and Electronics Engineers (IEEE), Madrid, Spain. DOI: 10.1109/QoMEX65720.2025.11219937
Dataset: Analysis of User Experience and Task Performance in a Multi-User Cross-Reality Virtual Object Manipulation Task (download here) The findings presented in this dataset are based on a subjective study conducted at the University of Zagreb, Faculty of Electrical Engineering and Computing in November 2024. This dataset includes participant demographics, prior experience with XR devices, subjective ratings of quality and user preferences, as well as objective task performance metrics. The data is provided in an Excel spreadsheet format. A detailed description of the test methodology is given in the corresponding publication.	Lea Brzica, Filip Matanović, Sara Vlahović, Nina Pavlin Bernardić, and Lea Skorin-Kapov. 2025. Analysis of User Experience and Task Performance in a Multi-User Cross-Reality Virtual Object Manipulation Task. In Proceedings of the 17th International Workshop on IMmersive Mixed and Virtual Environment Systems (MMVE'25). Association for Computing Machinery, New York, NY, USA, 22–28. DOI: 10.1145/3712677.3720461

Description

Corresponding Publication(s)

Dataset: QoE and Task Performance Assessment of Mobile Robot Teleoperation via a VR-based Interface
(download here)
The findings presented in this dataset are based on a user study conducted at the University of Zagreb, Faculty of Electrical Engineering and Computing in 2025. This dataset includes participant demographics, prior experience with XR devices, subjective ratings of quality and user preferences, as well as objective task performance metrics and eye gaze behaviour data. The data is provided in an Excel spreadsheet format. A detailed description of the test methodology is given in the corresponding publication.

Mateo Paladin, Lea Brzica, Filip Matanović, Damir Kljajić, and Lea Skorin-Kapov. 2025. QoE and Task Performance Assessment of Mobile Robot Teleoperation via a VR-based Interface. In Proceedings of the 17th International Conference on Quality of Multimedia Experience (QoMEX). Institute of Electrical and Electronics Engineers (IEEE), Madrid, Spain.
DOI: 10.1109/QoMEX65720.2025.11219937

Dataset: Analysis of User Experience and Task Performance in a Multi-User Cross-Reality Virtual Object Manipulation Task
(download here)
The findings presented in this dataset are based on a subjective study conducted at the University of Zagreb, Faculty of Electrical Engineering and Computing in November 2024. This dataset includes participant demographics, prior experience with XR devices, subjective ratings of quality and user preferences, as well as objective task performance metrics. The data is provided in an Excel spreadsheet format. A detailed description of the test methodology is given in the corresponding publication.

Lea Brzica, Filip Matanović, Sara Vlahović, Nina Pavlin Bernardić, and Lea Skorin-Kapov. 2025. Analysis of User Experience and Task Performance in a Multi-User Cross-Reality Virtual Object Manipulation Task. In Proceedings of the 17th International Workshop on IMmersive Mixed and Virtual Environment Systems (MMVE'25). Association for Computing Machinery, New York, NY, USA, 22–28.
DOI: 10.1145/3712677.3720461