TY - DATA T1 - User Interaction Dataset for JAIR 2024 paper "Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?" PY - 2025/02/06 AU - Gaole He AU - Agathe Balayn AU - Stefan Buijsman AU - Jie Yang AU - Ujwal Gadiraju UR - DO - 10.4121/19a75bf7-2825-4c22-96a2-e55eecac0fec.v1 KW - Explainable AI KW - Common sense reasoning KW - Human Computer Interaction N2 -

This repo contains all code and data for the paper "Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?" We collected user decision making with AI assistants in a skin cancer detection scenario. Specifically, we provide concept-level explanations generated with post-hoc XAI methods and analogy-based explanations to elucidate the importance of concepts. User interfaces built upon flask is also provided.

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