评估人类对安卓机器人面部表情的感知,基于指令风格的变化
Ayaka Fujii1, Carlos Toshinori Ishi1,2, Kurima Sakai1,2
1Guardian Robot Project, RIKEN, Kyoto, Japan.
Frontiers in robotics and AI
|January 1, 2026
概括
抽象的指令增强了人类对机器人的表现力和代理权的看法. 参与者发现,当给予抽象命令时,安卓机器人尼古拉更合适,在情感上更具表现力,这表明了改善的人机交互.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与机器人的交互
- 人工智能的人工智能
背景情况:
- 人与机器人的互动需要机器人表达适合环境的情感表达.
- 现有的研究往往忽视了基本情绪之外的细微的情绪表达.
- 现实世界的应用需要能够表现出复杂和多样化的情感表现的机器人.
研究的目的:
- 用63种面部表情来扩展安卓机器人尼古拉的表达能力.
- 调查抽象与明确指令对感知机器人代理和表现力的影响.
- 分析机器人的表情和用户个性特征如何影响人类的感知.
主要方法:
- 在安卓机器人尼古拉上实现了63种面部表情,包括复杂的情绪,身体状况和强度变化.
- 收集了来自Expo 2025的600多名参与者的交互数据,他们描述了所需的机器人面部表情.
- 利用一个大型语言模型来推断情绪和相应的面部表情.
- 管理问卷以评估参与者对机器人的适当性和情感表达力的看法.
主要成果:
- 与会者认为,与明确的指示相比,当给予抽象的指示时,尼古拉的行为更合适,更具情感表现.
- 发现抽象指令可以增强机器人的感知机构.
- 机器人的印象因所表达的特定表情和参与者的个性特征而异.
结论:
- 适应性面部表情,结合抽象的指令风格,显著塑造人类对社交机器人的看法.
- 抽象的指令可以培养机器人更大的代理意识,改善人机交互.
- 这项研究通过细微的情感表达和交互设计,提供了对设计更社会智能和更有吸引力的机器人的见解.
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