preference attribute of experimental subject. In experiment, we experimented two case

6.1. Subjectl

The system recognized coordinates of user's face and user's finger in the show window. The system recognized whether the right is pointed or the left is pointed or the center is pointed by the difference of coordinates. By doing so, the system recognized the product user pointed. When the user sent personal attribute information from smart phone with keeping to point the product, the system inferred. Information of product that is suitable for  personal  attribute information and information of product user  pointed was sent with mail. When URL of information of the product that user is interested  in is clicked,  the image of the clothes is displayed

five stages by the question whether liked a recommended product or not. The reason is that the testee was a woman, and there  was  nothing that matched to the body attribute in the data base we prepared. We think that the data base enhances and this evaluation improves. The utility of this system was shown from the result of the average of the   evaluation.

Fig. 10. Evaluation; This shows result of questionnaire. We had the testee evaluate the system by five stages.

Fig. 9. Image of experiment; This shows Image of experiment. There are image of pointing, image of tracking, image of show window, image of Subjectl and image of Subject2.

6.2. Subject2

In this experiment, we made the data base as  man's tailor. Therefore product  that  body  attribute information was woman was noting in the data base of the shop. Because we think the recommendation of the product not suitable for the body attribute even if the preference attribute is suitable is meaningless in this system, one sentence that “I am sorry there is no product’s suitable for customer's body attribute in our shop”   and   information   of   product   user   pointed is

In this text, we had the networked robot share personal attribute information, took a new concept “ambient intelligence” to the system, implemented the support robot system for the store, experimented on this system. At the end we showed the utility of the system.

摘要本文展示了服务机器人系统，它提供考虑用户个人属性的信息。在本研究中，我们关注两个属性：“偏好属性信息和主体属性信息”，我们定义“偏好属性信息”是关于在日常生活中获得的喜好的信息，例如喜欢的颜色;“主体属性信息”基于人的身体特征例如性别，我们称之为“个人属性信息”。服务机器人系统在商店中基于新概念“环境智能”实现。联网机器人共享个人属性信息本文显示了一个实验，通过在服装店中使用“偏好属性信息和主体属性信息”来提供关于衣服的信息。最后，作者讨论了系统的效用并总结了我们的服务机器人系统。

1.介绍

与IT相关的产品已经开发，这些产品已经具有高性能。但是，功能安装了这么多，人们不能使用所有的功能。所以，系统和机器人来提供适合个人的功能。这些是主要给用户的想法，并且系统和机器人提供适合于用户的功能。诸如“人中心型系统”的各种系统在网络上联合在一起，迅速传播“泛在网络”。论文网

在这项研究中，我们匹配了人们在社会中获得的“偏好属性信息”和基于人的身体特征的“身体属性信息”。我们将它们定义为“个人属性信息”而且，我们让机器人共享它，并提出了为人们提供支持的系统。