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The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems.

, , and . ICHI, page 160-169. IEEE Computer Society, (2015)

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Improving Intelligent Assistants for Desktop Activities., , and . Interaction Challenges for Intelligent Assistants, volume SS-07-04 of AAAI Technical Report, page 119-121. AAAI Press, (2007)Explainable AI: The New 42?, , , , , , , and . Machine Learning and Knowledge Extraction, page 295--303. Cham, Springer International Publishing, (2018)Analysis and representation of rhetorical construction of understanding in design teams' experiential learning.. University College London, UK, (2001)British Library, EThOS.End-User Feature Labeling via Locally Weighted Logistic Regression., , , , , , and . AAAI, page 1575-1578. AAAI Press, (2011)Workshop on Trust and Reliance in AI-Human Teams (TRAIT)., , , , , , and . CHI Extended Abstracts, page 116:1-116:6. ACM, (2022)From GenderMag to InclusiveMag: An Inclusive Design Meta-Method., , , , , and . VL/HCC, page 97-106. IEEE Computer Society, (2019)EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations., , , , and . CHI, page 314:1-314:27. ACM, (2024)An Explanatory Model Steering System for Collaboration between Domain Experts and AI, , and . Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 75–79. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)End-user feature labeling: a locally-weighted regression approach., , , , , , and . IUI, page 115-124. ACM, (2011)Design Methods for Artificial Intelligence Fairness and Transparency., , , , , , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)