Isowa Takamichi, Ogawa Kohei, Sato Satoshi, Kubota Tomonori, Ishiguro Hiroshi
Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka, Japan.
Department of Information and Communication Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Front Robot AI. 2025 Apr 17;12:1417488. doi: 10.3389/frobt.2025.1417488. eCollection 2025.
In recent years, information conveyance through conversation using agents such as robots and avatars has gained attention. Among them, conversation by two agents has been shown to encourage effective information conveyance. Previous studies have also demonstrated that incorporating subjective information, such as emotions, into conversations enhances this effect. Therefore, a medium for information conveyance involving two autonomous agents and including subjective information is expected to be effective.
In this study, such a medium was implemented, and the conditions necessary for it to convey information continuously were investigated. Objective information was defined as the content of existing news, and subjective information was defined as the preference toward the news. A frame structure was used for organizing objective information, and a network structure was used for subjective information. A method was developed to autonomously obtain both types of information. This knowledge was then distributed to two agents, who exchanged it and attempted to understand each other through conversation.
Experiments were conducted to determine whether the subjective information obtained autonomously by the agents was as natural and consistent as that of humans. Further experiments examined the conditions for enabling continuous information conveyance using the medium.
The results indicated that conveying important information first and using robots rather than text were effective strategies for maintaining continuous information conveyance.
近年来，通过使用机器人和虚拟化身等代理进行对话来传递信息受到了关注。其中，两个代理之间的对话已被证明能促进有效的信息传递。先前的研究还表明，将诸如情感等主观信息融入对话会增强这种效果。因此，一种涉及两个自主代理且包含主观信息的信息传递媒介有望发挥作用。
在本研究中，实现了这样一种媒介，并研究了其持续传递信息所需的条件。客观信息被定义为现有新闻的内容，主观信息被定义为对新闻的偏好。使用框架结构来组织客观信息，使用网络结构来处理主观信息。开发了一种自主获取这两种信息的方法。然后将这些知识分发给两个代理，它们通过交流信息并尝试通过对话相互理解。
进行了实验以确定代理自主获取的主观信息是否与人类的主观信息一样自然和一致。进一步的实验研究了使用该媒介实现持续信息传递的条件。
结果表明，先传递重要信息并使用机器人而非文本是保持持续信息传递的有效策略。
