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20202026
most citedPlay MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier

5 citations · 6 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.AI2025

Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions

Courtney Ford, Mark T. Keane

Explainable AI (XAI) methods often struggle to generate clear, interpretable outputs for users without domain expertise. We introduce Feature-Guided Neighbor Selection (FGNS), a po…

cs.AI2022★ 1 cited

Explaining Classifications to Non Experts: An XAI User Study of Post Hoc Explanations for a Classifier When People Lack Expertise

Courtney Ford, Mark T Keane

Very few eXplainable AI (XAI) studies consider how users understanding of explanations might change depending on whether they know more or less about the to be explained domain (i.…