A constructive model for the development of joint attention
A constructive model for the development of joint attention
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DOI：
10.1080/09540090310001655101
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发表时间：
2003-12-01
影响因子：
5.3
通讯作者：
Asada, M
中科院分区：
文献类型：
--
作者：
Nagai, Y;Hosoda, K;Asada, M
本文提出了一个构造性模型，通过该模型，机器人基于其嵌入的视觉注意和自我评价学习机制，获得与人类护理人员的联合注意能力。前者是在机器人的视野中看一个突出的物体，后者是在视觉注意力成功时学习感觉运动协调。由于视觉注意力的成功并不总是与联合注意力的成功相对应，机器人具有用于联合注意力的不正确的学习数据以及正确的数据。然而，机器人在统计上被期望丢失作为异常值的不正确的数据，因为这样的数据在感觉运动协调中不具有任何相关性，而正确的数据具有相关性。因此，机器人获得联合注意力的能力，通过找到在感觉运动协调的相关性，即使多个对象被放置在随机位置的环境和人类护理人员不提供任何任务评估的机器人。实验结果表明，该模型使机器人再现了婴儿联合注意力的发展过程。因此，该模型可以作为解释婴儿联合注意能力发展的模型之一。
This paper presents a constructive model by which a robot acquires the ability of joint attention with a human caregiver based on its embedded mechanisms of visual attention and learning with self-evaluation. The former is to look at a salient object in the robot's view, and the latter is to learn sensorimotor co-ordination when visual attention has succeeded. Since the success of visual attention does not always correspond to the success of joint attention, the robot has incorrect learning data for joint attention as well as correct data. However, the robot is expected statistically to lose incorrect data as outliers since such data do not have any correlation in the sensorimotor co-ordination while correct data have a correlation. The robot consequently acquires the ability of joint attention by finding the correlation in the sensorimotor co-ordination even if multiple objects are placed at random positions in an environment and a human caregiver does not provide any task evaluation to the robot. The experimental results show that the proposed model makes the robot reproduce the developmental process of infants' joint attention. Therefore, the proposed model could be one of the models to explain how infants develop the ability of joint attention.