An eye-tracking dataset for visual attention modelling in a virtual museum context

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EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum

Y Zhou, T Feng, S Shuai, X Li, L Sun… - Frontiers of Information …, 2022 - Springer
Predicting visual attention facilitates an adaptive virtual museum environment and provides
a context-aware and interactive user experience. Explorations toward development of a …
被引用次数：11 相关文章 所有 6 个版本

Predicting user visual attention in virtual reality with a deep learning model

X Li, Y Shan, W Chen, Y Wu, P Hansen, S Perrault - Virtual Reality, 2021 - Springer
Recent studies show that user's visual attention during virtual reality museum navigation can
be effectively estimated with deep learning models. However, these models rely on large …
被引用次数：14 相关文章 所有 5 个版本

EDVAM: 用于虚拟博物馆视觉注意建模的三维眼动数据集

Z Yunzhan, F Tian, XLI Shihui SHUAI, SUN Lingyun… - Frontiers, 2022 - jzus.zju.edu.cn
视觉注意预测能帮助建立适应性虚拟博物馆环境, 提供上下文感知和交互式用户体验. 目前,
利用眼动数据探究视觉注意机制的研究仍限于二维场景. 研究者尚未能从时间和空间的角度出发 …
相关文章 所有 3 个版本

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum

Z Yunzhan, F Tian, XLI Shihui SHUAI, SUN Lingyun… - jzus.zju.edu.cn
Predicting visual attention facilitates an adaptive virtual museum environment and provides
a context-aware and interactive user experience. Explorations toward development of a …
相关文章 所有 2 个版本