发表机构
College of Computing of the Georgia Institute of Technology（佐治亚理工学院计算学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究利用基于人类语音生成的虚拟智能体，探究个性在人机交互中的作用，发现外向型智能体更受欢迎，且用户感知更受智能体-话题同步性影响，为交互设计提供参考。
AI 中文摘要
用户信任在人机交互中至关重要，因为它能让用户在与智能体相处时感到自在。建立用户融洽关系的过程始于智能体的设计方式，从交互模态到环境设置，再到各种可定制的特征和特性。所有这些方面都可能影响用户能否与虚拟智能体进行有效交互并实现预期目的。在人际交互中，个性是一个关键特征。一个人的个性会强烈影响与其互动的人是否认为其值得信赖。本研究使用由具有已知个性特征的人类语音生成的虚拟智能体来评估用户感知。我们发现，外向型智能体更受用户喜爱，且用户-智能体同步性对用户对智能体的感知没有显著影响。此外，研究发现，无论智能体个性如何，用户自身的个性都会影响其对智能体的感知。我们的观察表明，用户感知可能更多地依赖于智能体-话题同步性，而非用户-智能体同步性，并为更广泛的社区提供了设计有效人机交互的参考。
英文摘要
User trust is paramount in human-agent interactions, as it allows users to feel comfortable being themselves around an agent. The process of building user rapport starts in how an agent was designed, from its modality to the setting, to any of the many features and characteristics that can be tailored. All these aspects can affect whether users will be able to properly interact with the virtual agent and achieve the intended purpose. One such feature that is critical in human-human interactions is personality. A person's personality can strongly influence whether those that interact with them perceive them as trustworthy. This study used virtual agents generated from human voices with known personality traits to evaluate user perceptions. We found that extraverted agents were deemed to be more likeable by users, and that there was no significant effect of user-agent synchrony on user perceptions of the agent. In addition, it was found that user personality, without regard for agent personality, affected user perceptions of the agents. Our observations suggest that user perceptions may depend more on agent-topic synchrony than user-agent synchrony, and contribute to the broader community with considerations for the design of effective human-agent interactions.
