分析响应联合注意力对用户对机器人的感知在人机交互中的影响
Jesús García-Martínez1, Juan José Gamboa-Montero1, José Carlos Castillo1
1Department of Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad, 30, 28911 Leganes, Spain.
Biomimetics (Basel, Switzerland)
|December 27, 2024
概括
将联合注意力系统集成到社交机器人中可以显著提高用户的感知,提高互动期间感知到的竞争力和温暖. 这项技术促进了更自然的人机交往.
科学领域:
- 人与机器人的交互
- 社会机器人社会机器人社会机器人
- 认知科学 认知科学
背景情况:
- 共同的注意力对人类沟通和关系至关重要.
- 在社交机器人中模仿类似人类的品质可以增加它们的接受度.
- 响应式的联合注意力系统是自然人机器人互动的关键.
研究的目的:
- 分析响应式联合注意力系统对用户对社交机器人的看法的影响.
- 为了评估系统的有效性在模拟的真实世界的交互场景与分心.
- 评估用户对机器人的能力和热情的看法.
主要方法:
- 设计了一个使用"赔与赔"游戏的互动场景.
- 使用了一个具有集成联合注意力系统的社交机器人.
- 用听觉和视觉分心来测试注意力捕捉和跟踪.
- 机器人社会属性尺度 (RoSAS) 在互动后进行了管理.
主要成果:
- 用户对机器人的能力的感知随着联合注意力系统的激活而显著改善.
- 当系统活跃时,用户对机器人温暖的感知也显示出显著的改善.
- 该系统在分散注意力的情况下,在捕捉和跟踪用户注意力方面表现出了有效性.
结论:
- 一个响应的联合注意力系统会积极影响用户对社交机器人的看法.
- 实施联合注意力可以提高机器人的认知能力和热情.
- 这项技术有助于更自然和可接受的人机交互.
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