人类对机器人的认知和情感能力的偏好跨越不同的应用领域
Hilda Nääs1, Sam Thellman1, Tom Ziemke1
1Department of Computer and Information Science, Linköping University, Linköping, Sweden.
Frontiers in robotics and AI
|April 10, 2025
概括
人们更喜欢具有认知能力的机器人,而不是情绪化的机器人,但希望有同情心. 偏好因机器人应用而异,影响未来的人机交互设计.
科学领域:
- 人与机器人的交互
- 机器人 伦理学 机器人伦理学
- 认知科学 认知科学
背景情况:
- 设计机器人需要了解人类对其认知和情感能力的偏好.
- 将机器人融入社会需要与人类的价值观和期望保持一致.
研究的目的:
- 在不同应用领域研究人类对机器人的心理能力的偏好.
- 确定影响机器人设计中这些偏好因素.
主要方法:
- 一项对271名参与者进行的主体间研究.
- 在6个机器人领域 (医疗保健,国防,家庭,社会,教育,客户服务) 收集了12个心理能力的偏好定量和定性数据.
主要成果:
- 一般偏好与代理相关的 (认知) 能力,而不是与经验相关的 (情感) 能力.
- 在家用机器人中,对代理的偏好较弱;在社交机器人中,对经验的偏好较强.
- 渴望客观,逻辑机器人运行与同情心;性别和教育影响偏好.
结论:
- 人类对机器人能力的偏好是特定领域的,受性别和教育等因素的影响.
- 这些发现有助于设计能够更好地融入社会中的机器人.
- 转移的重点从机器人能力归因到人类偏好理解,以实现有效的HRI.
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