在空间计算中沉浸,注意力和协作:对使用Apple Vision Pro的工作性能进行研究
IEEE transactions on visualization and computer graphics
|March 7, 2025
概括
空间计算通过可调节的沉浸增强了焦点,但减少了社交存在. 个人表现更好,沉浸不会影响协作工作.
科学领域:
- 人与计算机的交互
- 认知心理学 认知心理学
- 虚拟现实 虚拟现实 虚拟现实
背景情况:
- 空间计算,利用像果Vision Pro这样的设备,为工作提供可调节的沉浸感.
- 之前的研究缺乏关于沉浸对个人和协作工作表现的影响的系统研究.
研究的目的:
- 研究空间计算中的不同沉浸水平如何影响选择性注意力,社交存在和任务执行.
- 确定沉浸对个人与协作工作和用户体验的影响.
主要方法:
- 实证研究涉及使用Apple Vision Pro的参与者,具有三个沉浸级别 (高,中,低).
- 任务包括个人和协作工作,测量选择性注意力,社交存在,深度感知和用户体验.
主要成果:
- 选择性注意力随着沉浸水平的提高而显著改善.
- 随着沉浸程度的增加,社交存在减少了.
- 个人任务表现通常比协作任务表现更好,但沉浸没有影响协作结果.
- 没有观察到对深度感知或用户体验的不良影响.
结论:
- 在空间计算中进行可调节的沉浸可以增强专注的个人工作,但可能会减少社交联系.
- 平衡沉浸和社交互动对于优化专业环境中的空间计算至关重要.
- 需要进一步的研究才能充分理解空间计算对未来工作环境的影响.
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