抄録
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research, Category: Grant-in-Aid for Challenging Research (Exploratory), Fund Type: -, Overall Grant Amount: - (direct: 4900000, indirect: 1470000)
We proposed a construction method for the persuadee game agent for entertainment, which is to be persuaded by users to provide them with amusement.
We proposed a neural network model based on multi-task learning that selects an appropriate response from multiple response candidates according to the game situation and the dialogue context with the user. To achieve a natural persuasive dialogue, it should gradually change its attitude so that it can gradually respond to the user's persuasion. We also proposed a data-driven persuadee dialogue management method to achieve natural acceptance of persuasion.