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Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy.

, , и . HCOMP, стр. 63-72. AAAI Press, (2020)

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Farid Nourani

Behzad Nourani

 

Другие публикации лиц с тем же именем

The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems., , , и . HCOMP, стр. 97-105. AAAI Press, (2019)Understanding the Effects of Explanation Types and User Motivations on Recommender System Use., , , и . HCOMP, стр. 83-91. AAAI Press, (2020)SplitStreams: A Visual Metaphor for Evolving Hierarchies., , , и . CoRR, (2020)Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy., , и . HCOMP, стр. 63-72. AAAI Press, (2020)The Role of Domain Expertise in User Trust and the Impact of First Impressions with Intelligent Systems., , и . HCOMP, стр. 112-121. AAAI Press, (2020)Explainable Activity Recognition in Videos., , , , , , , и . IUI Workshops, том 2327 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems., , , , , , и . IUI, стр. 340-350. ACM, (2021)Romadoro: Leveraging Nudge Techniques to Encourage Break-Taking., , , , , и . UIST (Adjunct Volume), стр. 66-69. ACM, (2021)Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis., , , , , , и . CHI Extended Abstracts, стр. 1-8. ACM, (2020)