人与机器人行动 (HR-ACT) 数据库:以人类和人形机器人为特色的沟通和非沟通动作视频
Tuǧçe Nur Pekçetin1,2, Gaye Aşkın3, Şeyda Evsen4
1Department of Cognitive Science, Graduate School of Informatics, Middle East Technical University, Çankaya/Ankara, Türkiye.
Behavior research methods
|January 12, 2026
概括
人与机器人行动 (HR-ACT) 数据库提供了人类和机器人行动的标准化视频. 该资源通过提供受控刺激和规范性数据,帮助研究人机交互和动作感知.
科学领域:
- 人与机器人的交互
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 行动感知 行动感知
背景情况:
- 标准化刺激对于人机交互 (HRI) 的可重复性研究至关重要.
- 现有的数据集可能缺乏匹配的人类和机器人的行动或全面的规范数据.
研究的目的:
- 介绍人机动作 (HR-ACT) 数据库,这是研究动作感知的新型资源.
- 为了提供由人类和人形机器人执行的匹配的沟通和非沟通行为.
- 从人类参与者那里收集有关这些行动的广泛规范数据.
主要方法:
- 创建80个标准化的行动实例 (40个代理:人类和Pepper机器人).
- 行动与方式,时间和重复相匹配.
- 从438名参与者收集规范性数据,包括识别,信任和沟通能力等级.
主要成果:
- HR-ACT数据库包含80个视频,显示了人类和机器人的行动相匹配.
- 提供了详细的规范数据,包括含义集群和H值.
- 刺激可以以多种格式 (视频,图像框架,qanim文件) 提供,以满足各种研究需求.
结论:
- HR-ACT数据库为HRI和认知科学研究提供了一个有价值的,公开可用的资源.
- 它促进了对人类和机器人代理的行动感知进行系统的调查.
- 包括原始动画文件支持实时实验实现与胡机器人.
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