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Towards Better User Requirements: How to Involve Human Participants in XAI Research

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arxiv 2212.03186 v1 pith:TR4MVZIT submitted 2022-12-06 cs.HC

Thu Nguyen , Jichen Zhu This is my paper · ORCID
classification cs.HC
keywords userrequirementsbetterhumanidentifiesresearchaddresscurrent
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Human-Center eXplainable AI (HCXAI) literature identifies the need to address user needs. This paper examines how existing XAI research involves human users in designing and developing XAI systems and identifies limitations in current practices, especially regarding how researchers identify user requirements. Finally, we propose several suggestions on how to derive better user requirements.

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  1. Human-Centered Explainability in Interactive Information Systems: A Survey

    cs.HC 2025-07 conditional novelty 4.0 of 10

    A systematic review of 100 empirical user studies synthesizes explainability research into five conceptual dimensions, a design classification, and six measurement categories.

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