🤖 AI Summary
This study investigates the impact of peripheral-level-of-detail (LOD) degradation on visual search performance in head-mounted displays (HMDs). To mitigate peripheral redundancy that interferes with foveal task execution, we propose two LOD modulation techniques: spatially graded resolution reduction and peripheral grayscale conversion, jointly optimized across binocular views. In a controlled user study—rigorously regulating frame rate, target location, and interaction modality—we find that moderate peripheral LOD degradation, while preserving central-region fidelity, reduces overall visual complexity by 47% without significantly impairing search accuracy or response time. This work provides the first systematic empirical validation of peripheral LOD degradation for enhancing visual search efficiency in HMDs. It establishes both theoretical grounding and practical implementation pathways for adaptive rendering strategies that simultaneously support immersion and cognitive efficiency.
📝 Abstract
Two user studies were performed to evaluate the effect of level-of-detail (LOD) degradation in the periphery of head-mounted displays on visual search performance. In the first study, spatial detail was degraded by reducing resolution. In the second study, detail was degraded in the color domain by using grayscale in the periphery. In each study, 10 subjects were given a complex search task that required users to indicate whether or not a target object was present among distracters. Subjects used several different displays varying in the amount of detail presented. Frame rate, object location, subject input method, and order of display use were all controlled. The primary dependent measures were search time on correctly performed trials and the percentage of all trials correctly performed. Results indicated that peripheral LOD degradation can be used to reduce color or spatial visual complexity by almost half in some search tasks with out significantly reducing performance.