社会机器人不是 (仅仅) 关于机器,它是关于人:心理学在发展社会机器的作用
Emily S Cross1,2, Arvid Kappas3
11Social Brain Sciences Lab, Department for Humanities, Social and Political Sciences, ETH Zurich, Zurich, Switzerland;
Annual review of psychology
|November 6, 2025
概括
社交机器人需要更好的心理框架才能成功. 将心理学与机器人技术相结合,可以创造出更具社会智能的机器,并推进心理学科学.
科学领域:
- 机器人和人机交互的人机交互
- 社会心理学 社会心理学
- 人工智能的人工智能
背景情况:
- 社会机器人技术旨在创造体现的人工智能,用于医疗保健和教育等不同领域的人类互动.
- 目前的社交机器人往往由于社会动态的概念化不足和缺乏长期用户参与而失败.
- 现有的研究过度强调情感,忽视了关键的社会因素,如目标,角色,自我介绍和文化.
研究的目的:
- 突出社会机器人技术中社会维度的概念化和经验基础不足.
- 倡导心理理论,方法和数据更深入地整合到社会机器人开发中.
- 探索生成性AI如何影响人机交互及其在社会参与方面的挑战.
主要方法:
- 这项研究主要是理论性的,综合现有研究和识别差距.
- 它强调需要强大的心理框架来理解人类对社交机器人的反应.
- 它呼吁心理学和机器人之间进行对话.
主要成果:
- 社会机器人需要的不仅仅是情感能力;他们需要解决更广泛的社会结构.
- 生成型人工智能提供了新的机会,但尚未解决核心的社会参与挑战.
- 多学科的方法对于推进人工智能和心理理解至关重要.
结论:
- 更深入地整合心理学科学对于开发具有社会能力的机器人至关重要.
- 解决心理因素将改善机器人用户的参与度,并减少商业失败.
- 这种跨学科的合作可以显著推进社会机器人和心理学科学.
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