通过个性化情绪机器人研究人格如何影响人机信任与情感联结
Designing Empathetic Companions: Exploring Personality, Emotion, and Trust in Social Robots
- 设计情绪感知人格模型，让机器人根据性格特征动态调整行为
- 84组对话实验证实亲和性、外向性等人格特质显著提升信任感
- 适合关注人机关系、社交机器人设计的研究者与开发者
本研究探讨陪伴型机器人应如何表现。基于现有文献，我们识别出共情、信任与可玩性是建立人机陪伴关系的关键因素。据此构建了依赖人格、具备情绪感知能力的生成模型，并在84组双人对话实验中，使用具备不同人格特质的情绪机器人Navel进行验证。通过问卷、开放反馈与行为观察的多模态分析，我们验证了情绪生成器的有效性，并揭示了亲和性、外向性、尽责性与共情等人格特质对关系信任、能力信任、可玩性与社交性的显著影响。
原文摘要 · Abstract (English)
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.
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