Investigation of the conditions for continuous information conveyance by two autonomous conversational agents
Takamichi Isowa, Kohei Ogawa, Satoshi Sato, Tomonori Kubota, Hiroshi Ishiguro

TL;DR
This paper explores how two autonomous agents can effectively convey information through conversation by incorporating subjective elements like preferences.
Contribution
The study introduces a framework for autonomous agents to convey information continuously using both objective and subjective data structures.
Findings
Conveying important information first improves continuous information exchange.
Using robots instead of text enhances the effectiveness of information conveyance.
Autonomous agents can generate natural and consistent subjective information similar to humans.
Abstract
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…
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Taxonomy
TopicsSpeech and dialogue systems · Social Robot Interaction and HRI · AI in Service Interactions
