设计共情伴侣：探索社交机器人中的个性、情感与信任
Designing Empathetic Companions: Exploring Personality, Emotion, and Trust in Social Robots
AI总结：
本研究提出基于个性模型的认知架构，通过用户实验验证情感生成器，揭示机器人个性特质对信任与愉悦性的影响。
摘要：
伴侣机器人应该如何表现？在本研究中，我们提出了一种基于定制个性模型的认知架构，以探究机器人个性对伴侣机器人感知的影响。借鉴现有文献，我们确定了共情、信任和愉悦性作为与社交机器人建立陪伴关系的关键因素。基于这些见解，我们实现了一个依赖个性且情感感知的生成器，认识到机器人情感在塑造这些因素中的关键作用。随后，我们进行了一项用户研究，涉及与表现出不同个性的情感机器人Navel进行的84次双人对话会话。结果来自多模态分析，包括问卷、开放式回答和行为观察。这种方法使我们能够验证所开发的情感生成器，并探索宜人性、外向性、尽责性和共情等个性特质之间的关系。此外，我们得出了关于这些特质如何影响关系信任、能力信任、愉悦性和社交性的稳健结论。
英文摘要：
How should a companion robot behave? In this research, we present a cognitive architecture based on a tailored personality model to investigate the impact of robotic personalities on the perception of companion robots. Drawing from existing literature, we identified empathy, trust, and enjoyability as key factors in building companionship with social robots. Based on these insights, we implemented a personality-dependent, emotion-aware generator, recognizing the crucial role of robot emotions in shaping these elements. We then conducted a user study involving 84 dyadic conversation sessions with the emotional robot Navel, which exhibited different personalities. Results were derived from a multimodal analysis, including questionnaires, open-ended responses, and behavioral observations. This approach allowed us to validate the developed emotion generator and explore the relationship between the personality traits of Agreeableness, Extraversion, Conscientiousness, and Empathy. Furthermore, we drew robust conclusions on how these traits influence relational trust, capability trust, enjoyability, and sociability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
