人类对社交机器人动作的社会反应:人机交互中的运动意向

Ingar Brinck, Lejla Heco, Kajsa Sikström, Victoria Wandsleb, B. Johansson, C. Balkenius
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引用次数: 2

摘要

我们测试了对编码社会运动意图的运动动作的观察是否会引起人形机器人进行互补反应的自发加工。我们设计了机器人的手臂和上肢运动,以体现人类个体和社会运动意图的运动学特征,并设计了一个简单的任务,涉及机器人和人类依次将积木放在桌子上。我们的研究结果表明,人类的行为可以通过编码在机器人运动中的人类运动学来调节。在一些情况下,人类受试者在试图进行眼神交流和在任务中进行轮流行为时,会用类似的运动来展示社会运动意图。这提出了一种基于运动处理的HRI设计的新方法,该方法有望在生态上有效,廉价,自动,快速,有弹性,直观,计算简单。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Humans Perform Social Movements in Response to Social Robot Movements: Motor Intention in Human-Robot Interaction
We tested whether the observation of motor action encoding social motor intention would cause the spontaneous processing of a complementary response when performed by a humanoid robot. We designed the robot's arm and upper body movements to manifest the kinematic profiles of human individual and social motor intention and designed a simple task that involved robot and human placing blocks on a table sequentially. Our results show that the behavior of the human can be modulated by human kinematics as encoded in a robot's movement. In several cases human subjects reciprocated movement that displayed social motor intention with movements showing a similar kinematic profile while attempting to make eye contact and engaging in turn-taking behaviour during the task. This suggests a novel approach in the design of HRI based in motor processing that promises to be ecologically valid, cheap, automatic, fast, resilient, intuitive, and computationally simple.
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