Using explanations to provide transparency during trust-guided behavior adaptation1
Author:
Affiliation:
1. Knexus Research Corporation, Springfield, VA, USA. E-mail: michael.floyd@knexusresearch.com
2. Navy Center for Applied Research in AI, Naval Research Laboratory (Code 5514), Washington, DC, USA. E-mail: david.aha@nrl.navy.mil
Publisher
IOS Press
Subject
Artificial Intelligence
Reference26 articles.
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3. S. Brüninghaus and K.D. Ashley, Combining case-based and model-based reasoning for predicting the outcome of legal cases, in: Proceedings of the Fifth International Conference on Case-Based Reasoning, Trondheim, Norway, Springer, 2003, pp. 65–79.
4. J.Y.C. Chen, M.J. Barnes, A.R. Selkowitz, K. Stowers, S.G. Lakhmani and N. Kasdaglis, Human-autonomy teaming and agent transparency, in: Proceedings of the Twenty-First International Conference on Intelligent User Interfaces, Sonoma, USA, ACM, 2016, pp. 28–31.
5. P. Cunningham, D. Doyle and J. Loughrey, An evaluation of the usefulness of case-based explanation, in: Proceedings of the Fifth International Conference on Case-Based Reasoning, Trondheim, Norway, Springer, 2003, pp. 122–130.
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