Eagan, James R.

How Cognitive Biases Affect XAI-assisted Decision-making: A Systematic Review

Bertrand, A., Belloum, R., Eagan, J. R., & Maxwell, W. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 129

On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations

Bertrand, A., Viard, T., Belloum, R., Eagan, J. R., & Maxwell, W. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 71

Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach

Beaudouin, V., Bloch, I., Bounie, D., Clémençon, S., d'Alché-Buc, F., Eagan, J., Maxwell, W., Mozharovskyi, P., & Parekh, J. (2020) · SSRN Electronic Journal

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 61

Reflecting on the invisible: understanding end-user perceptions of ubiquitous computing

Poole, E. S., Le Dantec, C. A., Eagan, J. R., & Edwards, W. K. (2008) · Proceedings of the 10th international conference on Ubiquitous computing

Innovative Human-Technology InteractionInformation Systems Theories and Implementation

Cited by 35

Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach

Beaudouin, V., Bloch, I., Bounie, D., Clémençon, S., d'Alché-Buc, F., Eagan, J., Maxwell, W., Mozharovskyi, P., & Parekh, J. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10