Evaluation of Impression of Humans by Ambiguous utterance of GMBot in TRPG.

Abstract

Table talk Roll Playing Game is a conversational social communication game in which participants with different 2 roles progress by conversation. The remarks made by Game Master, the host of TRPG, affect the fun of the game. The ambiguous speaking styles that GM frequently uses in the game can be expected to have the effect of prompting the participants to think and helping the game progress. In addition, since we believe that ambiguous speech assists deepening the relationship between humans and systems in a positive direction, this research investigates ambiguous speech in systems. As the first step, we develop a bot that plays a role of a game master in TRPG, and investigate and verify the way of speaking that gives a good impression to the user. We developed and used two types of GM bots, which are control conditions that use only affirmative forms, and GM bots, which are ambiguous conditions that use ambiguous endings such as “maybe” to imply. We asked experiment participant to use one of the GM Bot and evaluated it using the Impression evaluation scale in CMC. As a result of the evaluation, the values of "friendly type" and "feel a sense of trust" Gained Significantly higher in the ambiguous GM Bot. In addition, a GM utterance model was created, and comparative experiments were conducted using model adapted and unadapted TRPG playlogs. The subsequent research policy will be examined.