论文标题
在人类代理团队中建模人类的时间不确定性
Modeling Human Temporal Uncertainty in Human-Agent Teams
论文作者
论文摘要
自动调度可能是促进机器人和人类队友之间高效，直观互动的非常有用的工具。但是，当前的Gapin自动安排是，尚不清楚如何最好地代表人类队友介绍的时机不确定性。本文试图通过设计一个在线人机协作包装游戏来解决这一差距，我们用来从众多人群中建立人类时机不确定性的模型。我们得出的结论是，重尾分布是人类时间不确定性的最佳模型，对数正态分布，可以达到我们实验数据的最佳拟合度。我们讨论了这些结果以及我们的协作在线游戏如何为未来的探索提供信息，以安排改善人类机器人的流利度。
Automated scheduling is potentially a very useful tool for facilitating efficient, intuitive interactions between a robot and a human teammate. However, a current gapin automated scheduling is that it is not well understood how to best represent the timing uncertainty that human teammates introduce. This paper attempts to address this gap by designing an online human-robot collaborative packaging game that we use to build a model of human timing uncertainty from a population of crowd-workers. We conclude that heavy-tailed distributions are the best models of human temporal uncertainty, with a Log-Normal distribution achieving the best fit to our experimental data. We discuss how these results along with our collaborative online game will inform and facilitate future explorations into scheduling for improved human-robot fluency.
