提出以互动为中心的机器人可信度框架，提升人机信任匹配度。
Toward an Interaction-Centered Approach to Robot Trustworthiness
- 构建基于互动的可信框架，强调人类感知与透明性双支柱。
- 通过准确理解人类行为和清晰传达意图，使机器人行为符合预期。
- 适合关注人机信任、安全交互的研究者与开发者。
随着机器人日益融入人类环境，提升具身机器人代理的可信度对实现有效且安全的人机交互（HRI）至关重要。为达成此目标，HRI应用需促进人类信任与机器人能力相匹配，避免错误信任或过度信任，以免引发安全风险和伦理问题。本文提出一种以互动为基础的框架，旨在通过人类与机器人之间的相互理解建立信任。重点强调两大支柱：人类意识（机器人准确解读人类行为的能力）与透明性（机器人清晰传达其意图与目标的能力）。通过整合这两者，机器人可表现出符合人类期望与需求的行为，同时让人类伙伴获得对其行为的理解与控制感。此外，本文还提出四个关键组件，用于弥合人类感知的信任与机器人真实能力之间的差距。
原文摘要 · Abstract (English)
As robots get more integrated into human environments, fostering trustworthiness in embodied robotic agents becomes paramount for an effective and safe human-robot interaction (HRI). To achieve that, HRI applications must promote human trust that aligns with robot skills and avoid misplaced trust or overtrust, which can pose safety risks and ethical concerns. To achieve that, HRI applications must promote human trust that aligns with robot skills and avoid misplaced trust or overtrust, which can pose safety risks and ethical concerns. In this position paper, we outline an interaction-based framework for building trust through mutual understanding between humans and robots. We emphasize two main pillars: human awareness and transparency, referring to the robot ability to interpret human actions accurately and to clearly communicate its intentions and goals, respectively. By integrating these two pillars, robots can behave in a manner that aligns with human expectations and needs while providing their human partners with both comprehension and control over their actions. We also introduce four components that we think are important for bridging the gap between a human-perceived sense of trust and a robot true capabilities.
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