在HRI中刻板印象的民族代表:来自国际年轻人的观点
Ronald Cumbal1, Agnes Axelsson1, Shivam Mehta1
1Speech, Music and Hearing (TMH), KTH Royal Institute of Technology, Stockholm, Sweden.
Frontiers in robotics and AI
|December 11, 2023
概括
人与机器人互动 (HRI) 中的国籍刻板印象影响了对机器人的能力和可喜感的看法,特别是通过口音. 然而,直接的互动减轻了这些偏见,在现实世界中显示出它们的弱效.
科学领域:
- 人与机器人的交互 (HRI)
- 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:
- 人们根据外表和言语形成了立即的期望.
- 这些刻板印象可以转移到具有人类特质的机器人.
- 国家刻板印象影响了对能力和喜欢度的看法.
研究的目的:
- 调查机器人感知中的基于国籍的偏见.
- 评估口音和外表对虚拟和物理社交机器人的影响.
- 为了确定是否在互动后仍然存在刻板印象.
主要方法:
- 在线调查评估虚拟机器人与各种口音和面部的感知.
- 与展示不同国籍代表性的社交机器人进行物理互动研究.
- 虚拟机器人交互研究以控制媒介效果.
主要成果:
- 在线调查中,口音显著影响了人们对竞争力和喜欢度的看法.
- 在物理和虚拟机器人互动后,偏见减少了.
- 刻板印象对齐显示了轻微的影响,群体成员对机器人的评价不同.
结论:
- 在直接接触后,国籍刻板印象对人机交互的影响很小.
- 互动的质量和经验超过了最初的偏见.
- 发现是特定于所研究的人口 (受过国际教育的年轻学生).
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