As anthropomorphic agents (AI and robots) are increasingly used in society, empathy and trust between people and agents are becoming increasingly important. A better understanding of agents by people will help to improve the problems caused by the future use of agents in society. In the past, there has been a focus on the importance of self-disclosure and the relationship between agents and humans in their interactions. In this study, we focused on the attributes of self-disclosure and the relationship between agents and people. An experiment was conducted to investigate hypotheses on trust and empathy with agents through six attributes of self-disclosure (opinions and attitudes, hobbies, work, money, personality, and body) and through competitive and cooperative relationships before a robotic agent performs a joint task. The experiment consisted of two between-participant factors: six levels of self-disclosure attributes and two levels of relationship with the agent. The results showed that the two factors had no effect on trust in the agent, but there was statistical significance for the attribute of self-disclosure regarding a person's empathy toward the agent. In addition, statistical significance was found regarding the agent's ability to empathize with a person as perceived by the person only in the case where the type of relationship, competitive or cooperative, was presented. The results of this study could lead to an effective method for building relationships with agents, which are increasingly used in society.

翻译：随着拟人化智能体（人工智能与机器人）在社会中的日益普及，人与智能体之间的共情与信任变得愈发重要。人类对智能体的更好理解有助于改善未来智能体在社会应用中所引发的问题。以往研究关注自我表露的重要性及其在人机交互中的作用。本研究聚焦于自我表露的属性以及智能体与人类之间的关系。通过设计机器人智能体在执行联合任务前的六种自我表露属性（观点与态度、兴趣爱好、工作、金钱、个性、身体）以及竞争与合作两种关系类型，开展实验探究关于信任与共情的假设。实验采用双因素被试间设计：六种自我表露属性水平与两种智能体关系水平。结果显示，这两个因素对智能体信任度无显著影响，但自我表露属性对人类共情智能体的程度具有统计学显著性。此外，仅在呈现关系类型（竞争或合作）的条件下，人类感知到的智能体对人类共情能力存在统计学显著性。本研究结果可为构建与社会中日益普及的智能体的有效关系提供方法参考。