A systematic review of 100 empirical user studies synthesizes explainability research into five conceptual dimensions, a design classification, and six measurement categories.
Towards Better User Requirements: How to Involve Human Participants in XAI Research
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abstract
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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Human-Centered Explainability in Interactive Information Systems: A Survey
A systematic review of 100 empirical user studies synthesizes explainability research into five conceptual dimensions, a design classification, and six measurement categories.