In this study, we propose an automatic diary generation system that uses
information from past joint experiences with the aim of increasing the
favorability for robots through shared experiences between humans and robots.
For the verbalization of the robot's memory, the system applies a large-scale
language model, which is a rapidly developing field. Since this model does not
have memories of experiences, it generates a diary by receiving information
from joint experiences. As an experiment, a robot and a human went for a walk
and generated a diary with interaction and dialogue history. The proposed diary
achieved high scores in comfort and performance in the evaluation of the
robot's impression. In the survey of diaries giving more favorable impressions,
diaries with information on joint experiences were selected higher than diaries
without such information, because diaries with information on joint experiences
showed more cooperation between the robot and the human and more intimacy from
the robot.Comment: 12 pages, 5 figures, IAS-1