在复杂世界中搜索：混合现实中的视觉搜索与空间规律记忆
Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality
AI总结：
本文研究了混合现实中的视觉搜索与空间规律记忆，发现次要任务不影响搜索性能但增加工作负荷，复杂环境阻碍搜索但不增加工作负荷，且参与者对重复空间配置有隐性记忆。
摘要：
视觉搜索是混合现实（MR）交互的核心组成部分，受MR应用环境复杂性的影响。本文研究了MR中普遍因素如何影响视觉搜索性能和空间规律记忆，包括物理环境复杂性、次要任务存在、虚拟内容深度和空间布局配置。与以往工作不同，我们发现次要听觉任务对视觉搜索性能没有显著主效应，但显著提高了所有条件下的感知工作负荷测量。复杂环境和不同虚拟元素深度显著阻碍了视觉搜索，但并未显著增加感知工作负荷测量。最后，参与者并未明确识别虚拟元素的重复空间配置，但在搜索重复空间配置时表现显著更好，表明对空间规律的隐性记忆。我们的工作为视觉搜索提供了新的见解，并突显了在不同应用环境下设计MR时的关键考虑因素。
英文摘要：
Visual search is a core component of mixed reality (MR) interactions, influenced by the complexities of MR application contexts. In this paper, we investigate how prevalent factors in MR influence visual search performance and spatial regularity memory -- including the physical environment complexity, secondary task presence, virtual content depth and spatial layout configurations. Contrary to prior work, we found that the secondary auditory task did not have a significant main effect on visual search performance, while significantly elevating higher perceived workload measures in all conditions. Complex environments and varied virtual elements depths significantly hinder visual search, but did not significantly increase perceived workload measures. Finally, participants did not explicitly recognize repeated spatial configurations of virtual elements, but performed significantly better when searching repeated spatial configurations, suggesting implicit memory of spatial regularities. Our work presents novel insights on visual search and highlights key considerations when designing MR for different application contexts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
