Should Robots Chicken? How Anthropomorphism and Perceived Autonomy Influence Trajectories in a Game-Theoretic Problem
Should Robots Chicken? How Anthropomorphism and Perceived Autonomy Influence Trajectories in a Game-Theoretic Problem
复制标题
机器人应该吃鸡吗？
DOI：
--
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Iolanda Leite
中科院分区：
文献类型：
--
作者：
Ilaria Torre;Alexis Linard;Anders Steen;Jana Tumova;Iolanda Leite
两个人在相撞的过程中走向对方是人与人互动的日常问题。尽管不同的环境和个人因素可能会危及成功的人类轨迹，但人们通常都擅长避免彼此相撞。然而，目前还不清楚当人类与机器人相撞时，同样的策略是否适用，也不清楚哪些与机器人相关的因素会影响人类是否转向的决定。在这项工作中，我们展示了一项在线研究的结果，参与者走向一个在拟人化和感知自主性方面不同的虚拟机器人，并必须决定是转弯还是继续直行。这项实验的灵感来自于一个关于鸡的博弈论游戏。我们发现，当人们认为机器人被另一名参与者遥控时，他们会做出更多的转弯动作。当他们转向时，他们也会转向更接近拟人化程度较高的机器人，而远离拟人化分数较低的机器人，这表明对机械外观机器人的意图有更高的不确定性。这些结果将在社会意识机器人导航的背景下进行讨论，并将被用于设计考虑与机器人相关的差异的机器人轨迹的新算法。
Two people walking towards each other in a colliding course is an everyday problem of human-human interaction. In spite of the different environmental and individual factors that might jeopardise successful human trajectories, people are generally skilled at avoiding crashing into each other. However, it is not clear if the same strategies will apply when a human is in a colliding course with a robot, nor which (if any) robot-related factors will influence the human’s decision to swerve or not. In this work, we present the results of an online study where participants walked towards a virtual robot that differed in terms of anthropomorphism and perceived autonomy, and had to decide whether to swerve, or continue straight. The experiment was inspired by the game-theoretic game of chicken. We found that people performed more swerving actions when they believed the robot to be teleoperated by another participant. When they swerved, they also swerved closer to the robot with high levels of human-likeness, and farther away from the robot with low anthropomorphism score, suggesting a higher uncertainty about the mechanical-looking robot’s intentions. These results are discussed in the context of socially-aware robot navigation, and will be used to design novel algorithms for robot trajectories that take robot-related differences into account.