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.

翻译：本研究提出一种自动日记生成系统，该系统利用过去共同经历的信息，旨在通过人与机器人之间的共享体验提升机器人好感度。为实现机器人记忆的语言化，系统应用了当前快速发展的领域——大规模语言模型。由于该模型不具备经历记忆，它通过接收共同经历的信息生成日记。实验中，机器人与人类共同散步，并以交互和对话历史为基础生成日记。在机器人印象评估中，所提出的日记在舒适度和表现力方面获得了高分。在关于产生更佳好感度的日记调查中，包含共同经历信息的日记被选中的几率高于不含此类信息的日记，这是因为包含共同经历信息的日记展现了更多人与机器人之间的合作以及机器人展现的更强烈亲密感。