人类对社会机器人欺骗行为的看法:一个探索性分析
Andres Rosero1, Elizabeth Dula1,2, Harris Kelly1
1Applied Psychology and Autonomous Systems Lab, Department of Psychology, College of Humanities and Social Sciences, George Mason University, Fairfax, VA, United States.
Frontiers in robotics and AI
|September 20, 2024
概括
人们根据机器人欺骗的类型来不同地感知和评估机器人欺骗. 隐藏状态欺骗被视为最具欺骗性和最不受欢迎的,通常归因于设计师而不是机器人本身.
科学领域:
- 人与机器人的交互
- 人工智能伦理学
- 社会机器人社会机器人社会机器人
背景情况:
- 机器人越来越多地融入社会环境,需要遵守人类的社会规范.
- 机器人违反规范和欺骗在人机交互中提出了伦理挑战.
研究的目的:
- 研究人类如何感知和评估不同类型的机器人欺骗.
- 分析人类对外部状态,隐藏状态和机器人表面状态欺骗行为的反应.
主要方法:
- 498名参与者阅读了描述不同机器人欺骗类型的三个小题之一.
- 定量和定性措施评估了对欺骗性,批准,理由和其他代理人的参与的看法.
主要成果:
- 隐藏国家欺骗被评为最具欺骗性和最不受欢迎的.
- 外部国家和表面国家欺骗被认为是相似的,但只有外部国家欺骗被普遍认可.
- 参与者经常将隐藏状态欺骗归因于外部代理人,而不是机器人.
结论:
- 人类区分不同类型的机器人欺骗,在欺骗性和认可方面对它们的评估不同.
- 欺骗的感知,特别是隐藏状态欺骗,可能涉及将代理权归因于机器人设计师而不是机器人本身.
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