UEyes

UEyes是一个大规模的眼动追踪数据集，由阿尔托大学创建，包含62名参与者在四种主要用户界面类型（网页、桌面UI、移动UI和海报）上的近20,000次眼动序列。数据集大小为1,980个UI截图，通过高保真实验室眼动追踪设备收集。创建过程涉及从多个现有数据集中提取和扩展图像，确保数据集的多样性和代表性。UEyes数据集主要用于研究不同UI类型对用户视觉注意力的影响，帮助设计师优化UI设计，提高用户体验。

UEyes is a large-scale eye-tracking dataset created by Aalto University, comprising nearly 20,000 eye-tracking sequences from 62 participants across four major user interface (UI) types: web pages, desktop UIs, mobile UIs, and posters. The dataset includes 1,980 UI screenshots collected using high-fidelity laboratory eye-tracking equipment. Its creation process involves extracting and expanding images from multiple existing datasets to ensure the dataset's diversity and representativeness. The UEyes dataset is primarily utilized to investigate the impact of different UI types on users' visual attention, assisting designers in optimizing UI designs and enhancing user experience.