Since lack of variety of personalities may cause unnatural communication with robots, we propose C^2AT^2 HUB where robots are characterized through long-term interaction. This method defines robot affect as “emotion” and “interpersonal affect” and characterizes robots gradually by adjusting tendency of affect based on history of user actions to robots.