论文标题
实时连续不确定性注释（RCUA）用于空间导航研究
Real-time Continuous Uncertainty Annotation (RCUA) for Spatial Navigation Studies
论文作者
论文摘要
这项研究介绍了两种方法，用于在复杂的建筑物中连续测量人类导航期间的不确定性：一种使用操纵杆（RCUA），另一种在最近的导航活动（CUA）的视频上进行注释。为了评估两种方法的可用性，可靠性和有效性，我们对54名参与者进行了研究。我们评估了不同签名事件中措施的反应性。我们还通过将它们的结果与自我报告问卷进行比较，评估了两种度量的收敛有效性，并通过比较已知组之间的不确定值并将这些值与寻路性能相关联，从而评估了它们的歧视性和预测有效性。我们的发现表明，这两种方法在任务级别都是有效的，但是RCUA擅长捕获人类经验的细粒动力。这些连续的不确定性措施可以为人类经验的短暂本质提供宝贵的见解，并有助于确定复杂建筑物中寻路的“问题点”。
This study introduces two methods for continuously measuring uncertainty during human navigation in complex buildings: one using a joystick (RCUA), and the other with annotations on videos of recent navigation activity (CUA). To evaluate the usability, reliability, and validity of both approaches, we conducted a study with 54 participants. We assessed the measures' reactivity during different sign-seeing events. We also evaluated the convergent validity of both measures by comparing their outcomes with a self-report questionnaire, and assessed their discriminative and predictive validity by comparing uncertain values between known groups and correlating those values with wayfinding performance. Our findings suggest that both approaches were valid at the task level, but RCUA was better at capturing fine-grained dynamics of human experience. These continuous uncertainty measures can provide valuable insights into the fleeting nature of human experience and help identify "problem spots" for wayfinding in complex buildings.
