Learning from and about others: Towards using imitation to bootstrap the social understanding of others by robots
Learning from and about others: Towards using imitation to bootstrap the social understanding of others by robots
复制标题
DOI：
10.1162/1064546053278955
复制
发表时间：
2005-12-01
期刊：
影响因子：
2.6
通讯作者：
Blumberg, B
中科院分区：
文献类型：
--
作者：
Breazeal, C;Buchsbaum, D;Blumberg, B
我们希望建造能够与人类进行丰富的社交互动的机器人，包括自然交流和合作。这项工作探索了如何将模仿作为一种社会学习和教学过程应用于构建社交智能机器人，并总结了我们在构建一个机器人方面的进展，该机器人能够通过与人类玩的简单模仿游戏，使用生物启发的机制来学习如何模仿面部表情。机器人有可能从这种模仿能力中推断出与其互动的人类的情感反应，然后使用这种情感评估来指导它随后的行为。我们的方法很大程度上受到人类婴儿学习与照顾者沟通的方式的影响，并从有意和动机的角度来理解他人的行为和表达行为。具体地说，我们的方法是以这样的假设为指导的，即婴儿和照顾者之间的模仿互动，从面部模仿开始，是发展适当的社会行为、预测他人行为以及最终将人理解为社会存在的重要踏脚石。
We want to build robots capable of rich social interactions with humans, including natural communication and cooperation. This work explores how imitation as a social learning and teaching process may be applied to building socially intelligent robots, and summarizes our progress toward building a robot capable of learning how to imitate facial expressions from simple imitative games played with a human, using biologically, inspired mechanisms. It is possible for the robot to bootstrap from this imitative ability to infer the affective reaction of the human with whom it interacts and then use this affective assessment to guide its subsequent behavior. Our approach is heavily influenced by the ways human infants learn to communicate with their caregivers and come to understand the actions and expressive behavior of others in intentional and motivational terms. Specifically, our approach is guided by the hypothesis that imitative interactions beween infant and caregiver, starting with facial mimicry, are a significant stepping-stone to developing appropriate social bchavior, to predicting others' actions, and ultimately to understanding people as social beings.