Research output per year
Research output per year
Description
The dataset includes user mobility and eye gaze data of a VR navigation experiment. Participants were guided using two navigation method Arrow and Avatars both of which were driven by a deep-learning based recommendation engine.
Contact
To discuss the dataset, please use the following contacts:
Murtada Dohan- @MurtadaDohan - murtada.dohan@gmail.com
Dr Mu Mu- @DRMMU - mu.mu@northampton.ac.uk
Citing
If you use this dataset in a scientific publication, we would appreciate references to the following paper:
User attention and behaviour in virtual reality art encounter. (arxiv:2005.10161, https://doi.org/10.48550/arXiv.2005.10161)
Licence
This dataset is released under an MIT Licence (https://github.com/Murtada100/EyeVRDataset/blob/main/LICENSE).
Contact
To discuss the dataset, please use the following contacts:
Murtada Dohan- @MurtadaDohan - murtada.dohan@gmail.com
Dr Mu Mu- @DRMMU - mu.mu@northampton.ac.uk
Citing
If you use this dataset in a scientific publication, we would appreciate references to the following paper:
User attention and behaviour in virtual reality art encounter. (arxiv:2005.10161, https://doi.org/10.48550/arXiv.2005.10161)
Licence
This dataset is released under an MIT Licence (https://github.com/Murtada100/EyeVRDataset/blob/main/LICENSE).
| Date made available | 26 May 2022 |
|---|---|
| Publisher | GitHub |
| Date of data production | 23 Nov 2021 |
Research output
- 1 Article
-
User Attention and Behaviour in Virtual Reality Art Encounter
Mu, M., Dohan, M., Goodyear, A., Hill, G., Johns, C. & Mauthe, A., 4 Jul 2022, In: Multimedia Tools and Applications.Research output: Contribution to Journal › Article › peer-review
Open AccessFile