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Found 3 papers, 2 papers with code
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals
The EUCA study findings, the identified explanation forms and goals for technical specification, and the EUCA study dataset support the design and evaluation of end-user-centered XAI techniques for accessible, safe, and accountable AI.
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
The boundaries of existing explainable artificial intelligence (XAI) algorithms are confined to problems grounded in technical users' demand for explainability.
EUCA: the End-User-Centered Explainable AI Framework
The ability to explain decisions to end-users is a necessity to deploy AI as critical decision support.
Decision Making
Explainable artificial intelligence
Human-Computer Interaction
