Autoethnographic Insights from Neurodivergent GAI "Power Users"

要旨

Generative AI (AI) has become ubiquitous in both daily and professional life, with emerging research demonstrating its potential as a tool for accessibility. Neurodivergent people, often left out by existing accessibility technologies, develop their own ways of navigating normative expectations. GAI offers new opportunities for access, but it is important to understand how neurodivergent “power users”—successful early adopters—engage with it and the challenges they face. Further, we must understand how marginalization and intersectional identities influence their interactions with GAI. Our autoethnography, enhanced by privacy-preserving GAI-based diaries and interviews, reveals the intricacies of using GAI to navigate normative environments and expectations. Our findings demonstrate how GAI can both support and complicate tasks like code-switching, emotional regulation, and accessing information. We show that GAI can help neurodivergent users to reclaim their agency in systems that diminish their autonomy and self-determination. However, challenges such as balancing authentic self-expression with societal conformity, alongside other risks, create barriers to realizing GAI's full potential for accessibility.

著者
Kate S. Glazko
University of Washington, Seattle, Washington, United States
JunHyeok Cha
University of Wisconsin - Madison, Madison, Wisconsin, United States
Aaleyah Lewis
University of Washington, Seattle, Washington, United States
Ben Kosa
University of Wisconsin - Madison, Madison, Wisconsin, United States
Brianna L. Wimer
University of Notre Dame, South Bend, Indiana, United States
Andrew Zheng
Independent Researcher, Fremont, California, United States
Roy Zheng
National Coalition of Independent Scholars, Battleboro, Vermont, United States
Jennifer Mankoff
University of Washington, Seattle, Washington, United States
DOI

10.1145/3706598.3713670

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713670

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Design for Different User Needs

G318+G319
7 件の発表
2025-04-30 18:00:00
2025-04-30 19:30:00
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