提出人机共存的双向演化框架,揭示长期互动中人的角色转变。
Towards Considerate Human-Robot Coexistence: A Dual-Space Framework of Robot Design and Human Perception in Healthcare

- 构建人感知与机器人设计的双空间协同演化模型
- 发现四维感知维度影响长期共存效果
- 适合关注医疗机器人持续集成的跨学科研究者
机器人技术的快速发展正在重塑人机共存的内涵——从能力拓展、交互直观到深度融入实际工作流程。这种共存不仅涉及物理空间共享,更体现为组织嵌入性、时间演进性、社会情境性和开放不确定性。由于共存并非一次性事件,理解医疗机器人需超越初始接受度,考察利益相关者在持续互动中的感知演变。然而,以往研究多依赖单点态度快照,难以反映共存作为长期动态过程的本质。本研究通过为期14周的共同设计研究中对九名参与者进行深度追踪访谈,识别出人类感知空间的四个解释维度:分解程度、证据来源、推理范围和时间取向。我们进一步将人感知空间与机器人设计空间的关系概念化为一个相互演化的循环,在此过程中,人类需求、设计决策、情境解读与社会调解持续相互重构。基于此,我们提出‘有考虑的人机共存’理念,强调人类不仅是设计参与者,更是主动诠释与中介者,持续塑造机器人在部署各阶段的理解与整合方式。相关前期工作及补充材料(含访谈协议)详见 https://byc-sophie.github.io/considerate-human-robot-coexistence/
原文摘要 · Abstract (English)
The rapid advancement of robotics is reshaping what it means for humans and robots to coexist -- through expanded capabilities, more intuitive interactions, and deeper integration into real-world workflows. Beyond sharing physical space, this coexistence is increasingly characterized by organizational embeddedness, temporal evolution, social situatedness, and open-ended uncertainty. Because such coexistence extends beyond a single encounter, understanding healthcare robots requires looking beyond initial acceptance to how stakeholders' perceptions evolve through continued engagement. Yet, prior work has largely relied on single-point snapshots of attitudes and acceptance, offering limited insight into coexistence as a long-term, dynamic process. We address these gaps through in-depth follow-up interviews with nine participants from a 14-week co-design study on healthcare robots. We identify the human perception space, which includes four interpretive dimensions (i.e., degree of decomposition, source of evidence, scope of reasoning, and temporal orientation). We enrich the conceptual framework of human-robot coexistence by conceptualizing the mutual relationship between the human perception space and the robot design space as a co-evolving loop, in which human needs, design decisions, situated interpretations, and social mediation continuously reshape one another over time. Building on this, we propose considerate human-robot coexistence, arguing that humans act not only as design contributors but also as interpreters and mediators who actively shape how robots are understood and integrated across deployment stages. Our related prior work and supplementary materials, including the interview protocol, are available at https://byc-sophie.github.io/considerate-human-robot-coexistence/
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。