Unconscious anchoring in maternal imitation that helps find the correspondence of a caregiver's vowel categories
Unconscious anchoring in maternal imitation that helps find the correspondence of a caregiver's vowel categories
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无意识地锚定在母亲的模仿中，有助于找到护理者元音类别的对应关系
DOI：
10.1163/156855307782148596
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发表时间：
2007
影响因子：
2
通讯作者：
M. Asada
中科院分区：
文献类型：
--
作者：
K. Miura;Y. Yoshikawa;M. Asada
由于机器人和人类的身体结构不同，机器人如何表现出与人类相应的行为是一个棘手的问题。作为这种对应问题的一个简单案例，本文提出了一个机器人，它通过与照顾者的互动来学习发元音。受发展心理学发现的启发，我们关注母亲模仿的作用（即照顾者模仿机器人的声音），因为它可以发挥指导声音对应的作用。此外，我们假设它会导致无意识锚定，在这种锚定中，看护人模仿的声音是无意识地发出的，与他/她自己的一个元音密切相关，从而有助于使机器人的话语更像元音。我们提出了一种与模仿看护者一起学习元音的方法，假设机器人知道看护者所需的元音类别，并且粗略估计看护者可以生成的声音区域与机器人可以生成的区域之间的映射。通过对日本模仿看护人的实验，我们表明，即使机器人被赋予不同类型的映射功能，它也能比没有看护人的机器人成功地获得更多的类似元音的话语。
It is a formidable issue how robots can show behaviors to be considered as the corresponding human's ones since the body structure is different between robots and humans. As a simple case for such a correspondence problem, this paper presents a robot that learns to vocalize vowels through the interaction with its caregiver. Inspired by the findings of developmental psychology, we focus on the roles of maternal imitation (i.e., imitation of the robot voices by the caregiver) since it could play a role to instruct the correspondence of the sounds. Furthermore, we suppose that it causes unconscious anchoring in which the imitated voice by the caregiver is performed unconsciously, closely to one of his/her own vowels and hereby helps to make the robot's utterances to be more vowel-like. We propose a method for vowel learning with an imitative caregiver, under the assumptions that the robot knows the desired categories of the caregiver's vowels, and the rough estimate of mapping between the region of sounds that the caregiver can generate and the region that the robot can. Through experiments with a Japanese imitative caregiver, we show that a robot succeeds in acquiring more vowel-like utterances than a robot without such a caregiver, even when it is given different types of mapping functions.