第一社会参照技能的发展:情感互动是调节机器人行为的一种方式

S. Boucenna, P. Gaussier, L. Hafemeister
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引用次数: 22

摘要

在本文中,我们研究了与社会伙伴的情感互动如何引导越来越复杂的行为,如社会参照。我们的想法是,社会参照和面部表情识别可以从涉及情绪刺激的简单感觉运动系统中产生。在不知道对方是代理的情况下,如果人类伴侣有一些“同理心”,或者至少与机器人头部“共鸣”(低水平的情感共鸣),机器人就能够学习一些复杂的任务。因此,我们主张社会参照可以从一个简单的感觉-运动系统中启动,而不是专门用于社会互动。
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Development of First Social Referencing Skills: Emotional Interaction as a Way to Regulate Robot Behavior
In this paper, we study how emotional interactions with a social partner can bootstrap increasingly complex behaviors such as social referencing. Our idea is that social referencing as well as facial expression recognition can emerge from a simple sensory-motor system involving emotional stimuli. Without knowing that the other is an agent, the robot is able to learn some complex tasks if the human partner has some “empathy” or at least “resonate” with the robot head (low level emotional resonance). Hence, we advocate the idea that social referencing can be bootstrapped from a simple sensory-motor system not dedicated to social interactions.
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来源期刊
IEEE Transactions on Autonomous Mental Development
IEEE Transactions on Autonomous Mental Development COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS
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