UEyes: Understanding Visual Saliency across User Interface Types
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
Show moreYear of publication
2023
Type of data
Authors
Department of Communications and Networking
Julia Kylmälä - Creator
Department of Information and Communications Engineering
Antti Oulasvirta 
Yue Jiang
Nokia Technologies Oy
Hamed Rezazadegan Tavakoli - Creator
University of Luxembourg
Luis Leiva - Creator
Paul R. B. Houssel - Creator
Zenodo - Publisher
Project
Other information
Fields of science
Computer and information sciences
Language
Open access
Open