Bridging Technology and Policy Design: A Robot Policy Design Toolkit to Support Collaborations in Policymaking

Social Robot InteractionTechnology Ethics & Critical HCIParticipatory DesignDesign FictionGovernment Officials & Civil ServantsHCI ResearchersSociologists & Anthropologists

Paper Title

Bridging Technology and Policy Design: A Robot Policy Design Toolkit to Support Collaborations in Policymaking

Publication Info

  • Topic area: Intersection of design research and policymaking for robot regulation.
  • Keywords: Robot policy, speculative design, policymaking, human-computer interaction, forecasting, compromise, simplicity, regulation, design toolkit, interdisciplinary collaboration.

Background and Problem

  • Problem / challenge: Policymaking for emerging technologies like robots and AI often lags behind technological innovation due to the complexity of translating technical knowledge into actionable policies and fostering collaboration among diverse stakeholders.
  • Significance: Effective policy design is critical to ensure responsible integration of robots into society, addressing ethical, social, and regulatory challenges.
  • Motivation and related work: While prior work has explored speculative design and forecasting in policymaking, there is limited exploration of interactive design tools that incorporate multi-stakeholder collaboration for robot regulation. Existing toolkits often focus on specific design outcomes rather than the policies governing these outcomes.

Solution

  • Proposed approach: Robot Policy Design Toolkit (RPDT), a card-based speculative design tool to facilitate multi-stakeholder collaboration in robot policy design.
  • Novelty:
    1. Introduction of RPDT to support structured policy ideation for robot regulation.
    2. Insights from technologists’ policy preferences and compromises using the toolkit.
    3. Feedback from policy experts on the toolkit’s applicability and potential improvements.
  • Procedure and key techniques:
    • RPDT employs a four-stage process inspired by U.S. policymaking:
      1. Sorting laws into “Pass” or “Do Not Pass” categories across nine policy topics.
      2. Prioritizing “Top 3” and “Bottom 3” laws for further consideration.
      3. Building three policies by combining preferred and compromised laws.
      4. Ranking the policies alongside a “No Policy” option.
    • Design principles include forecasting (envisioning future policies), compromise (balancing conflicting priorities), and simplicity (making complex policy issues accessible).

Results

  • Concrete findings:
    • 83.7% of technologists agreed on the need for robot policies, citing concerns like malintent, ethical dilemmas, and human-centered design.
    • Technologists preferred more regulation for transparency (mean = 0.49, SD = 0.59) and technosolutionism (mean = 0.49, SD = 0.59), while favoring less regulation for emotional deception (mean = -0.81, SD = 0.45).
    • Policies incorporating more or medium regulation were ranked higher than “No Policy,” with Policy 1 and Policy 3 tied as the most preferred (76.2% each).
  • Advantage over baselines:
    • RPDT enables structured exploration of policy trade-offs, fostering interdisciplinary dialogue and capturing nuanced stakeholder preferences.
    • Unlike existing tools, it emphasizes policymaking processes rather than specific design outcomes.
  • Experiments / evaluation:
    • Study with 43 technologists (16 industry, 27 academia) using RPDT to explore policy preferences.
    • Feedback from six policy experts highlighted the toolkit’s potential for bridging disciplines and improving policy design.
  • Limitations and future work:
    • Current toolkit focuses on U.S.-centric policymaking; future iterations could adapt to global contexts.
    • Simplistic framing of laws may oversimplify nuanced policy issues; future versions could incorporate more complexity and stakeholder-specific customization.
    • Toolkit applicability to near-term policy development and other technologies like generative AI remains to be explored.

Summary

The Robot Policy Design Toolkit (RPDT) is a speculative design tool aimed at fostering collaboration between technologists, policymakers, and other stakeholders in robot policy design. It employs principles of forecasting, compromise, and simplicity to guide users through a structured, multi-stage process. Results from 43 technologists highlighted preferences for more regulation in areas like transparency and technosolutionism, while policy experts emphasized the toolkit’s potential for interdisciplinary collaboration and suggested improvements for greater nuance and real-world relevance. RPDT offers a promising approach to bridging design research and policymaking, with potential applications in broader technology governance contexts.

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https://hci.top/en/papers/chi/222092/2026

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DOI: https://doi.org/10.1145/3772318.3791100
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Source
CHI
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Year
2026
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Authors
6 authors
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Subtopics
Social Robot Interaction, Technology Ethics & Critical HCI, Participatory Design, Design Fiction
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Government Officials & Civil Servants, HCI Researchers, Sociologists & Anthropologists
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