"We happen to be different and different is not bad": Designing for Intersectional Fat-Positive Information-Seeking

Title of the Paper

“We happen to be different and different is not bad”: Designing for Intersectional Fat-Positive Information-Seeking

Paper Information

• Subject Area: Human-Computer Interaction (HCI), Social Movements, and Fat Rights
• Keywords: Fat liberation, anti-fatness, Human-Computer Interaction (HCI), interaction design, participatory design, intersectionality, social movements, digital information-seeking, social justice

Research Background and Problem

• Identified Problem: Fat individuals face biases against body image and social exclusion, often experiencing discrimination and mistreatment in areas such as healthcare, employment, and public spaces. Existing digital tools fail to effectively support fat individuals in finding inclusive services and resources.
• Significance: Anti-fat bias is a widely accepted form of discrimination, exacerbating the mental health and quality of life of fat individuals. Moreover, this bias intersects with other forms of social oppression (e.g., racism, sexism), creating deeper impacts on the intersectional identities of fat individuals.
• Research Motivation: Current digital information tools are inadequate in supporting fat individuals in accessing resources effectively. By designing technological solutions, it is possible to alleviate difficulties in information-seeking, promote social recognition, and reduce bias. This study aims to advance both practice and theory by exploring the needs of the fat liberation movement.

Solution

• Proposed Methods and Solutions:

  1. Employ participatory design methods in collaboration with fat liberation organizations to design a digital information platform that supports fat individuals in finding inclusive resources.
  2. Conduct online and offline design workshops to explore and define ideal design features.
  3. Combine "intersectionality theory" with the "dynamic diversity design" framework to propose the "Intersectional Dynamic Diversity Design" (Intersectional DDD) method.

• Innovations:

  • Introduced the "Intersectional Dynamic Diversity" design framework, which integrates the dynamic needs of multi-identity intersectionality, user agency in human-computer interaction, and community-driven digital tool design.
  • Embedded the concept of "radical fat positivity," emphasized by the fat liberation movement, into technological solutions to better support social justice from a technical perspective.

• Implementation Steps and Techniques:

  1. Participatory Design: Gather input from fat individuals through design workshops to understand their needs and ideas.
  2. Problem Identification: Summarize the shortcomings of existing digital interaction tools, such as overly fragmented information, lack of updates, and insufficient reflection of intersectional identity needs.
  3. Proposed Solution: Design a centralized information platform featuring fuzzy filtering functions, multi-layered qualitative evaluations, targeted search optimization, and community management features to ensure continuous content updates.

Research Outcomes

• Specific Outcomes:

  • Designed a system called "Plustopia," aimed at helping fat individuals find inclusive resources (e.g., healthcare services, restaurants, public spaces).
  • Defined the core values of Plustopia, including "radical fat positivity" and the "intersectionality framework," emphasizing that digital tools must adapt to the dynamic and diverse needs of users.

• Advantages:

  • Provided a design model centered on the needs of fat individuals, with design principles and practical tools rooted in user realities.
  • Challenged the traditional simplification of user identities in technology design, focusing instead on the dynamic changes and diversity of user needs.

• Experimental or Evaluation Results:

  • The participatory design process revealed strong user demand for both functional features (e.g., search filtering, community review, information updatability) and value-driven aspects (e.g., combating anti-fat bias, emphasizing intersectional identities).
  • Users proposed a fuzzy search filtering feature to allow reasonable trade-offs when resources are scarce or when accommodating multiple identity needs.

• Limitations and Future Directions:

  • Limitations: The participants were predominantly white women, and the lack of racial and gender diversity in the sample may limit the study's generalizability to other groups.
  • Future Directions: Expand the scope of the study to address the needs of fat individuals with more diverse racial and gender identities; further develop specific prototype designs and test their feasibility and effectiveness in real-world environments.

Conclusion

This study utilized participatory design methods in collaboration with fat liberation organizations to create a digital information platform addressing the pain points of fat individuals in information-seeking. By integrating theoretical frameworks, the authors proposed a new design dimension ("Intersectional Dynamic Diversity"). The research extends the boundaries of fat positivity in HCI while providing theoretical and practical support for more diverse designs catering to groups with intersectional identities.