检查场景复杂性在网络疾病中的作用
Mohammadamin Sanaei1,2, Stephen B Gilbert1,2, Arthur J Perron1
1VRAC, Iowa State University, Ames, Iowa, USA.
Ergonomics
|November 12, 2024
概括
场景复杂性没有显著影响虚拟现实 (VR) 网络疾病. 光流和熟悉性本身是VR疾病的不可靠预测因素,需要进一步研究组合效应.
科学领域:
- 虚拟现实 (VR) 和人机交互
- 感知心理学 感知心理学
- 人类因素工程 人类因素工程
背景情况:
- 网络病,一种运动病的形式,是VR广泛采用的重要障碍.
- 场景的复杂性,包括光流和熟悉度等因素,被假定会影响网络疾病.
- 了解这些因素对于设计舒适的VR体验至关重要.
研究的目的:
- 调查场景复杂性 (简单与复杂) 对VR环境中的网络疾病的影响.
- 检查光流和熟悉性在诱导网络疾病中的独立和潜在的交互作用.
主要方法:
- 一个实验对象之间的实验,44名参与者玩椅虚拟现实游戏.
- 参与者接触到一个简单的或复杂的VR场景.
- 依赖性措施包括网络疾病的严重程度和任务绩效.
主要成果:
- 在简单和复杂的VR场景之间没有观察到网络疾病的显著差异.
- 这表明,光流和熟悉性,如果单独考虑,可能不是网络疾病的可靠预测因素.
- 还收集了任务执行数据,但没有在摘要中详细说明.
结论:
- 网络疾病可能不仅仅是由个别的低级 (光流) 或高级 (熟悉性) 因素决定的.
- 各种感知和认知因素之间的相互作用可能会影响网络疾病的发展.
- 在评估新VR环境的网络疾病潜力时,VR设计师不应该仅仅依赖光流和熟悉度.
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