Published June 6, 2023
| Version v1
Dataset
Open
UEyes: Understanding Visual Saliency across User Interface Types
Creators
- 1. Aalto University, Finland
- 2. University of Luxembourg, Luxembourg
- 3. Nokia Technologies, Finland
Description
UEyes is a large eye-tracking-based dataset including 62 participants and 1,980 UI screenshots, covering four major UI types: webpage, desktop UI, mobile UI, and poster.
Please cite the following paper:
UEyes: Understanding Visual Saliency across User Interface Types
https://dl.acm.org/doi/10.1145/3544548.3581096
Yue Jiang, Luis A. Leiva, Hamed Rezazadegan Tavakoli, Paul R. B. Houssel, Julia Kylmälä, and Antti Oulasvirta. 2023. UEyes: Understanding Visual Saliency across User Interface Types. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 285, 1–21. https://doi.org/10.1145/3544548.3581096
Files
UEyes_dataset.zip
Files
(12.9 GB)
| Name | Size | Download all |
|---|---|---|
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md5:c2d53e6af0a47e1f459416d6839ec2c1
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12.9 GB | Preview Download |
Additional details
References
- Yue Jiang, Luis A. Leiva, Hamed Rezazadegan Tavakoli, Paul R. B. Houssel, Julia Kylmälä, and Antti Oulasvirta. 2023. UEyes: Understanding Visual Saliency across User Interface Types. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 285, 1–21. https://doi.org/10.1145/3544548.3581096