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Introspection, long upheld as a reliable route to self-knowledge, involves examining one's thoughts, emotions, and mental processes. It underpins many psychological practices, from mindfulness meditation to psychotherapy and self-help strategies. However, empirical evidence challenges the accuracy of introspection as a means of understanding oneself.Limitations of Introspective InsightSeminal work by Nisbett and Wilson demonstrated that individuals are frequently unaware of the true causes...
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Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy
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Autoethnographic Insights from Neurodivergent GAI "Power Users".

Kate Glazko1, JunHyeok Cha2, Aaleyah Lewis3

  • 1University of Washington, Seattle, Washington, USA.

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Generative AI (GAI) offers new accessibility avenues for neurodivergent individuals, aiding in navigating societal expectations. However, challenges remain in balancing authentic expression with conformity for full GAI potential.

Keywords:
Human-centered computing → Accessibility technologiesNatural language interfacesaccessibilityauto-ethnographygenerative artificial intelligenceintersectionalityneurodivergent peoplestigma

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Area of Science:

  • Human-Computer Interaction
  • Artificial Intelligence
  • Neurodiversity Studies

Background:

  • Generative AI (GAI) is increasingly integrated into daily life, with growing recognition of its accessibility potential.
  • Existing accessibility technologies often fail to meet the needs of neurodivergent individuals, who develop unique coping mechanisms.
  • Understanding how neurodivergent "power users" engage with GAI is crucial for maximizing its benefits.

Purpose of the Study:

  • To explore how neurodivergent individuals utilize GAI for navigating normative environments and expectations.
  • To identify the challenges and opportunities neurodivergent users face when interacting with GAI.
  • To examine the influence of marginalization and intersectional identities on GAI use among neurodivergent populations.

Main Methods:

  • Autoethnography was employed as the primary research method.
  • Privacy-preserving GAI-based diaries and interviews were used to gather data.
  • Qualitative analysis focused on user experiences and interactions with GAI.

Main Results:

  • GAI can assist neurodivergent users in tasks such as code-switching, emotional regulation, and information access.
  • GAI facilitates neurodivergent users in reclaiming agency within systems that may limit autonomy.
  • GAI use presents challenges, including balancing self-expression with societal norms and other potential risks.

Conclusions:

  • GAI holds significant potential as an accessibility tool for neurodivergent individuals.
  • Addressing challenges related to authentic expression and societal pressures is key to unlocking GAI's full accessibility potential.
  • Further research is needed to understand and mitigate barriers for equitable GAI adoption by neurodivergent communities.