Searching Through Complex Worlds: Visual Search and Spatial Regularity Memory in Mixed Reality

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Authors: Lefan Lai, Tinghui Li, Zhanna Sarsenbayeva, Brandon Victor Syiem
Cited by: 1
References: 147

Abstract

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.

Fields of Study & Subjects

Augmented Reality Applications Interactive and Immersive Displays Spatial Cognition and Navigation

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–28
Publication date
13 April 2026