D-SAV360: 360°两声视频上的凝视扫描路径数据集
IEEE transactions on visualization and computer graphics
|October 2, 2023
概括
本研究介绍了D-SAV360,这是一个用于虚拟现实 (VR) 研究的新数据集. 它通过动态的360度视频和野心般的声音捕捉眼睛的运动,帮助研究视觉行为.
科学领域:
- 虚拟现实 (VR) 和人机交互 (HCI)
- 认知神经科学和视觉感知
- 数据集开发和机器学习
背景情况:
- 虚拟现实 (VR) 中的人类视觉行为对于优化VR潜力至关重要.
- 现有的凝视数据集缺乏多模式刺激,特别是定向的野心声音.
- 目前没有数据集可以捕获带有定向野心声音的动态内容的眼神视线轨迹 (扫描路径).
研究的目的:
- 介绍D-SAV360,一个用于研究VR多式联络的新型数据集.
- 为了实现对动态360度视频和雄心勃勃的音频所影响的视觉行为的全面研究.
- 提供一个资源,用于对VR中的注意力预测模型进行基准测试.
主要方法:
- 从87名参与者收集了4,609个头部和眼睛扫描路径.
- 利用360度视频与第一阶段的野心性音频刺激.
- 分析扫描路径数据以确定影响眼动统计数据的因素.
主要成果:
- 识别了视觉模式,内容类型和性别对眼动统计数据的重大影响.
- 证明了数据集对对照注意力预测模型的有用性.
- 强调了数据集对未来多样化研究应用的潜力.
结论:
- D-SAV360为多式联机VR研究提供了一个独特的资源.
- 该数据集有助于更深入地了解动态,沉浸式环境中的视觉注意力.
- 这项工作支持VR用户体验和注意力建模方面的进步.
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