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Learning in Motion: Dynamic Interactions for Increased Trust in Human-Robot Interaction Games

机译:运动中学习:动态交互可增强人机交互游戏的信任度

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Embodiment of actions and tasks has typically been analyzed from the robot’s perspective where the robot’s embodiment helps develop and maintain trust. However, we ask a similar question looking at the interaction from the human perspective. Embodied cognition has been shown in the cognitive science literature to produce increased social empathy and cooperation. To understand how human embodiment can help develop and increase trust in human-robot interactions, we created conducted a study where participants were tasked with memorizing greek letters associated with dance motions with the help of a humanoid robot. Participants either performed the dance motion or utilized a touch screen during the interaction. The results showed that participants’ trust in the robot increased at a higher rate during human embodiment of motions as opposed to utilizing a touch screen device.
机译:通常从机器人的角度分析动作和任务的实施方式,在这种情况下,机器人的实施方式有助于发展和保持信任。但是,我们提出了一个类似的问题,即从人类的角度看待相互作用。认知科学文献中已显示出具体的认知产生了更多的社会同理心和合作。为了了解人类的表现力如何帮助发展和增加对人机交互的信任,我们进行了一项研究,其中参与者被要求借助人形机器人来记忆与舞蹈动作相关的希腊字母。参与者在互动过程中执行了跳舞动作或使用了触摸屏。结果表明,与使用触摸屏设备相比,在人类的人为运动中,参与者对机器人的信任度更高。

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