基于主从博弈的多方人机交互对话心理模型

针对现有的多方人机交互存在分寸感把握较差、机器人回复自主性不强的问题，该文依据心理语言学关于对话心理理论，提出一种基于主从博弈的多方人机交互对话心理模型。该模型模拟了人与人交流时交互多方的心理过程，考虑到多方交互中主导者与从属者的交流特征，采取单主多从的博弈模型加以形式化表示，并使机器人扮演从属者角色，对多方主从博弈过程中从属关系带来的收益进行考量，将这一考量结果作为机器人回复的重要决策依据。实验结果表明，扮演从属者角色的机器人在与多方进行交互时，能准确把握对话分寸，在合适的时机下进行回复，进一步提升机器人回复的合理性与自主性。

Multi-party Human-computer Interaction Dialogue Psychology Model Based on Stackelberg Game

Considering the problems of the existing in the process of multi-party human-computer interaction system, such as lack of propriety and low autonomy, a dialogue psychological model based on Stackelberg game is proposed in this paper. The multi-party human-computer interaction model is used to simulate the psychological game process in interpersonal communication. Taking into account the communication characteristics between the leader and the follower in the multi-party interaction, the game model of single leader and multiple followers is adopted to formalize it. The robot is played the role of the follower and considered the benefit brought by subordinate relationship in the multi-party Stackelberg game to make the effective decision-making strategy. The experimental result shows that the robot played the role of follower is polite and replied at the right time in communication with the multi-party, which improves further the rationality and autonomy in response for the robot.