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，当观察者将数字信息转化为现实空间时，传统可视化方法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。为验证此假设，我们开展了一项实证研究（N = 32），在人工智能辅助的时效性空间目标选择任务中，对比了增强现实嵌入式可视化（X射线）与2D小地图的效果。令人意外的是，证据表明嵌入式可视化反而导致了对人工智能更严重的依赖失当（主要表现为过度依赖），这主要归因于感知挑战、视觉邻近性错觉及高度逼真的视觉表征等因素。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、设计启示以及增强现实中人机协同决策的未来研究方向。