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Towards Considerate Human-Robot Coexistence: A Dual-Space Framework of Robot Design and Human Perception in Healthcare

arXiv 2604.04374 ↗First posted 6 Apr 2026cs.RO cs.AI cs.HCcited by 0

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Abstract (arXiv)

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/

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 25 references that are in the map. First posted on arXiv 6 Apr 2026.

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5 of 25 references.

References · 5

  1. 2024Agent AI: Surveying the Horizons of Multimodal Interactioncited by 167
  2. 2024Generative Expressive Robot Behaviors using Large Language Modelscited by 22
  3. 2020Designing Human-Robot Coexistence Spacecited by 3
  4. 2025Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communicationcited by 2
  5. 2026Towards Considerate Embodied AI: Co-Designing Situated Multi-Site Healthcare Robots from Abstract Concepts to High-Fidelity Prototypescited by 2

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