[1]
Honeycutt, D., Nourani, M. and Ragan, E. 2020. Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 8, 1 (Oct. 2020), 63-72. DOI:https://doi.org/10.1609/hcomp.v8i1.7464.