cff-version: 1.2.0
abstract: "<p>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.</p>"
authors:
  - family-names: He
    given-names: Gaole
    orcid: "https://orcid.org/0000-0002-8152-4791"
  - family-names: Balayn
    given-names: Agathe
  - family-names: Buijsman
    given-names: Stefan
  - family-names: Yang
    given-names: Jie
    orcid: "https://orcid.org/0000-0002-0350-0313"
  - family-names: Gadiraju
    given-names: Ujwal
    orcid: "https://orcid.org/0000-0002-6189-6539"
title: "User Interaction Dataset for JAIR 2024 paper &#34;Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/19a75bf7-2825-4c22-96a2-e55eecac0fec.v1
license: CC BY 4.0
date-released: 2025-02-06