Artificial Intelligence (AI) and indoor sensing increasingly support decision-making in spatial environments. However, traditional visualization methods impose a substantial mental workload when viewers translate this digital information into real-world spaces, leading to inappropriate reliance on AI. Embedded visualizations in Augmented Reality (AR), by integrating information into physical environments, may reduce this workload and foster more appropriate reliance on AI. To assess this, we conducted an empirical study (N = 32) comparing an AR embedded visualization (X-ray) and 2D Minimap in AI-assisted, time-critical spatial target selection tasks. Surprisingly, evidence shows that the embedded visualization led to greater inappropriate reliance on AI, primarily as over-reliance, due to factors like perceptual challenges, visual proximity illusions, and highly realistic visual representations. Nonetheless, the embedded visualization demonstrated benefits in spatial mapping. We conclude by discussing empirical insights, design implications, and directions for future research on human-AI collaborative decision in AR.

翻译：人工智能与室内传感技术日益支持空间环境中的决策。然而，传统可视化方法要求使用者将数字信息转化为现实空间，这会带来巨大的认知负荷，导致对人工智能的依赖失当。增强现实中的嵌入式可视化通过将信息整合到物理环境中，可能降低这种认知负荷，并促进对人工智能更适度的依赖。为验证这一点，我们开展了一项实证研究（N = 32），在人工智能辅助的、时间紧迫的空间目标选择任务中，比较了增强现实嵌入式可视化（X射线）与二维小地图的效果。出人意料的是，证据表明嵌入式可视化反而导致了更多对人工智能的不当依赖（主要表现为过度依赖），这主要归因于感知挑战、视觉邻近性错觉以及高度逼真的视觉呈现等因素。尽管如此，嵌入式可视化在空间映射方面展现出优势。最后，我们讨论了实证发现、设计启示以及未来增强现实中人机协同决策的研究方向。