Human-Centered Explainable AI: From Algorithms to User Experiences

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Human-centered XAI should begin with user needs, test pitfalls, and evaluate experiences rather than selecting an explanation algorithm first.

Impact: Strengthen goal-specific explanation evaluation. Reject explainability as a context-free property.

Boundary: The paper is a survey chapter, not a deployment result. Next: which user goal and consequence should each explanation support?

Flags: preprint; selective coverage; no direct outcome test

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

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Recorded chart appearances

No appearance in the chart editions included in this snapshot. This is not evidence of absence from other editions.