Robots play an increasingly important role in modern daily life. Robots come in a variety of shapes and functions, including robots that assist people in their daily lives, such as cleaning robots, robots that provide service in restaurants, and robots that bring happiness to people like friends. These different robots evoke different emotions in people. For example, a robot that can build a friend-like relationship with a person can give people pleasure and a sense of security, and a robot with a human-like appearance can be evaluated positively. It is thought that not only appearance, but also internal collectivity that has the same characteristics as humans and background images can affect the evaluation of a robot. Therefore, the purpose of this study is to examine how these factors affect the evaluation of a robot.
Specifically, two types of background images, flowers and ornamental plants, were presented, and a 2 x 3 x 2 mixed design of 12 groups with three types of robot images (degree of anthropomorphism: low, medium, high) and different languages (Japanese and the artificial language Ruri) was used to examine what differences arise in the evaluation of the robot and in-group identity using a three-way analysis of variance.