Features of Explainability: How users understand counterfactual and causal explanations for categorical and continuous features in XAI G Warren, MT Keane, RMJ Byrne IJCAI-ECAI’22 Workshop: Cognitive Aspects of Knowledge Representation, 2022 | 34 | 2022 |
Young and restless, old and focused: Age-differences in mind-wandering frequency and phenomenology. CN Moran, DP McGovern, G Warren, RÓ Grálaigh, JPM Kenney, ... Psychology and aging 36 (2), 252, 2021 | 29 | 2021 |
Categorical and continuous features in counterfactual explanations of AI systems G Warren, RMJ Byrne, MT Keane Proceedings of the 28th International Conference on Intelligent User …, 2023 | 26 | 2023 |
Better counterfactuals, ones people can understand: psychologically-plausible case-based counterfactuals using categorical features for eXplainable AI (XAI) G Warren, B Smyth, MT Keane Case-Based Reasoning Research and Development: 30th International Conference …, 2022 | 21 | 2022 |
Explaining Multiple Instances Counterfactually: User Tests of Group-Counterfactuals for XAI G Warren, E Delaney, C Guéret, MT Keane International Conference on Case-Based Reasoning, 206-222, 2024 | 9* | 2024 |
Explanation in human thinking J Cassens, L Habenicht, J Blohm, R Wegener, J Korman, S Khemlani, ... Proceedings of the Annual Meeting of the Cognitive Science Society 43 (43), 2021 | 2 | 2021 |
Preferences for Simple Explanations in Diagnoses and Predictions G Warren, MT Keane, RMJ Byrne PsyArXiv, 2024 | | 2024 |
Counterfactual Explanations for eXplainable AI (XAI). G Warren ICCBR Doctoral Consortium, 34-39, 2022 | | 2022 |