跨学科探讨机器人时代信任的本质与建立机制
What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
- 融合社会学与人机交互研究，重新定义人对机器的信任
- 提出信任在人机互动中可被观察、测试与塑造的框架
- 适合关注人机关系、伦理设计的研究者与从业者
随着机器人逐步融入日常生活，信任问题日益凸显。什么是人对机器的信任？在人类与非人类代理共同参与的关系中，应如何理解信任？尽管人机交互（HRI）领域已将信任列为关键议题，但相关研究常呈碎片化状态。与此同时，长期关注信任的社会学研究却极少与机器人技术发展对话。本文主张建立更跨学科的视角，结合社会科学研究与社会机器人学成果，探讨信任如何被塑造、检验与显现。目标是推动不同学科间的对话，构建一个更扎实、更具适应性的框架，以理解不断演进的人机交互环境中的信任机制。
原文摘要 · Abstract (English)
As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should we think about trust in relationships that involve both humans and non-human agents? While the field of Human-Robot Interaction (HRI) has made trust a central topic, the concept is often approached in fragmented ways. At the same time, established work in sociology, where trust has long been a key theme, is rarely brought into conversation with developments in robotics. This article argues that we need a more interdisciplinary approach. By drawing on insights from both social sciences and social robotics, we explore how trust is shaped, tested and made visible. Our goal is to open up a dialogue between disciplines and help build a more grounded and adaptable framework for understanding trust in the evolving world of human-robot interaction.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。