Features of Explainability: How Users Understand Counterfactual and Causal Explanations for Categorical and Continuous Features in XAI

Published in IJCAI-ECAI '22 Workshop: Cognitive Aspects of Knowledge Representation, 2022

Recommended citation: Greta Warren, Ruth M. J. Byrne, and Mark T. Keane. 2022. Features of Explainability: How Users Understand Counterfactual and Causal Explanations for Categorical and Continuous Features in XAI. IJCAI-ECAI '22 Workshop: Cognitive Aspects of Knowledge Representation (CAKR'22), July 23–29, 2022, Vienna, Austria. https://ceur-ws.org/Vol-3251/paper1.pdf

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Recommended citation: Greta Warren, Ruth M. J. Byrne, and Mark T. Keane. 2022. Features of Explainability: How Users Understand Counterfactual and Causal Explanations for Categorical and Continuous Features in XAI. IJCAI-ECAI ‘22 Workshop: Cognitive Aspects of Knowledge Representation (CAKR’22), July 23–29, 2022, Vienna, Austria.