用信息论衡量人对环境的掌控力,补足传统导航评价短板
In Search of a Lost Metric: Human Empowerment as a Pillar of Socially Conscious Navigation
- 引入人类赋能度:量化人对未来状态的控制能力
- 仿真显示不同导航策略间赋能度差异显著(p<0.05)
- 适合关注人机协作社会性、伦理设计的研究者
在社交机器人导航中,传统指标如空间距离和行为自然性虽关注人类舒适度与社交规范,却难以反映代理在动态环境中的自主性与适应性。本文提出以信息论中的‘人类赋能度’作为补充指标,衡量人类影响自身未来状态并观察变化的能力。该指标揭示了机器人导航策略对人类赋能的间接影响。我们构建了一个将人类赋能度融入导航任务评估的框架。通过数值仿真,证明该指标不仅符合直观社交行为,且在不同机器人导航策略间表现出统计显著差异(p<0.05)。结果深化了对各类策略如何影响社会合规性的理解,凸显人类赋能度作为未来社交导航研究的互补性评价指标潜力。
原文摘要 · Abstract (English)
In social robot navigation, traditional metrics like proxemics and behavior naturalness emphasize human comfort and adherence to social norms but often fail to capture an agent's autonomy and adaptability in dynamic environments. This paper introduces human empowerment, an information-theoretic concept that measures a human's ability to influence their future states and observe those changes, as a complementary metric for evaluating social compliance. This metric reveals how robot navigation policies can indirectly impact human empowerment. We present a framework that integrates human empowerment into the evaluation of social performance in navigation tasks. Through numerical simulations, we demonstrate that human empowerment as a metric not only aligns with intuitive social behavior, but also shows statistically significant differences across various robot navigation policies. These results provide a deeper understanding of how different policies affect social compliance, highlighting the potential of human empowerment as a complementary metric for future research in social navigation.
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