Moving Towards Epistemic Autonomy: A Paradigm Shift for Centering Participant Knowledge

Honorable Mention
Algorithmic Fairness & BiasInclusive DesignPolice & Emergency Service PersonnelSociologists & Anthropologists

Research Background and Issues

  • What problems or challenges did the authors identify?
    The authors point out that research practices in the field of Human-Computer Interaction (HCI) often inadvertently exacerbate the marginalization of certain communities. Specifically, transgender women frequently face testimonial injustice and hermeneutical injustice, including information censorship, knowledge deprivation, and misunderstanding or neglect of their identities and experiences within their communities.

  • Why is this issue important?
    The epistemic authority of marginalized groups such as transgender women is often stripped away, further intensifying their social isolation and mental health challenges, such as high suicide rates. Addressing these issues is not only a matter of social justice but also directly impacts the safety and accessibility of technology design and usage for marginalized groups.

  • Research Motivation and Related Work
    As one of the most human-centered branches of computer science, HCI has a responsibility not only to avoid perpetuating such injustices in research but also to actively provide solutions. Previous studies have laid the groundwork for participatory approaches, critical theory, and social justice issues in technology design, but further exploration is needed to empower marginalized groups in knowledge production.

Solutions

  • What methods or solutions did the authors propose?
    The authors propose the concept of "Epistemic Autonomy," defined as the ability of individuals to manage knowledge about themselves, and suggest adopting it as a new core paradigm in HCI research. To support this paradigm, the authors introduce two improved HCI methods: Scaffolded Autoethnography (SAE) and Member-Checked Asynchronous Remote Communities (ARCs).

  • What is innovative about this solution?

    1. The concept of "Epistemic Autonomy" fundamentally shifts the power dynamics between researchers and participants by empowering participants.
    2. The specific methods (SAE and ARCs) directly apply this paradigm, granting participants greater epistemic agency and a safe space for expression.
    3. The experiences of transgender women and other marginalized groups are placed at the center of research design, rather than treating them as mere subjects of study.
  • What are the implementation steps and key technologies used?

    1. Scaffolded Autoethnography (SAE):
      • Create "scaffolds": Establish research goals and provide participants with an accessible framework to facilitate autobiographical reflection.
      • Collect autobiographical materials: Participants document their personal experiences as research data.
      • Collaborative analysis: Researchers and participants jointly analyze the materials, using visible tools (e.g., shared documents and boards) to foster transparent discussions.
    2. Member-Checked Asynchronous Remote Communities (ARCs):
      • Create safe spaces: Design privacy settings, codes of conduct, and community-appropriate permission management.
      • Activities and member checking: Conduct iterative activities where researchers present preliminary analysis results to community members for feedback.
      • Post-analysis: Combine early feedback with subsequent analysis to generate research findings that ensure accuracy and community approval.

Research Outcomes

  • What specific outcomes were achieved?

    1. The concept of Epistemic Autonomy was proposed as a new standard for participant rights in HCI research, with its theoretical and practical applications clearly outlined.
    2. Operational workflows for Scaffolded Autoethnography and Member-Checked Asynchronous Remote Communities were defined, significantly enhancing participants' epistemic agency and expressive rights.
  • How does it compare to existing solutions?

    1. Unlike traditional participatory design, this approach grants participants greater control over knowledge production rather than merely allowing them to "participate."
    2. It emphasizes the authority and advocacy capabilities of transgender women, marginalized groups, and their communities.
    3. It provides clear solutions to mitigate the risks of unjust knowledge production in research.
  • What were the experimental or evaluation results?
    The paper provides detailed case studies (including personal experiences of transgender researchers and community managers) to demonstrate the urgency and applicability of the concept of Epistemic Autonomy. These practices and personal narratives validate the need for and potential of this concept.

  • Limitations and Future Directions

    1. The methods and models proposed in this study have yet to be widely validated, particularly in cross-community and cross-cultural contexts.
    2. The authors primarily focus on the experiences of transgender women, but the principles of Epistemic Autonomy should be extended through future research to other marginalized groups, such as Indigenous communities and individuals with disabilities.

Conclusion

This paper introduces a new paradigm for HCI research that empowers marginalized groups with greater epistemic agency, addressing issues of knowledge deprivation and social marginalization. Through case studies and improved research methods (Scaffolded Autoethnography and Member-Checked Asynchronous Remote Communities), the paper demonstrates how this paradigm can be applied in practice. Future work could further validate the universality of these methods and explore new ways to involve marginalized groups in research.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/188724/2025

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/10.1145/3706598.3714252
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2025
emoji_events
Award
Honorable Mention
group
Authors
3 authors
sell
Subtopics
Algorithmic Fairness & Bias, Inclusive Design
work
Professions
Police & Emergency Service Personnel, Sociologists & Anthropologists
article
Content Status
Full text indexed
hub
Related Papers
0 related papers