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2020 – today
- 2024
[i2]Jeremy E. Block, Donald R. Honeycutt, Brett Benda, Benjamin Rheault, Eric D. Ragan:
From Data Dump to Digestible Chunks: Automated Segmentation and Summarization of Provenance Logs for Communication. CoRR abs/2409.04616 (2024)- 2022
- [j2]Mahsan Nourani
, Chiradeep Roy, Donald R. Honeycutt, Eric D. Ragan, Vibhav Gogate:
DETOXER: A Visual Debugging Tool With Multiscope Explanations for Temporal Multilabel Classification. IEEE Computer Graphics and Applications 42(6): 37-46 (2022) - [j1]Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate:
On the Importance of User Backgrounds and Impressions: Lessons Learned from Interactive AI Applications. ACM Trans. Interact. Intell. Syst. 12(4): 28:1-28:29 (2022) - 2021
- [c3]Mahsan Nourani, Chiradeep Roy, Jeremy E. Block, Donald R. Honeycutt, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate:
Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems. IUI 2021: 340-350 - 2020
- [c2]Mahsan Nourani, Donald R. Honeycutt, Jeremy E. Block, Chiradeep Roy, Tahrima Rahman, Eric D. Ragan, Vibhav Gogate:
Investigating the Importance of First Impressions and Explainable AI with Interactive Video Analysis. CHI Extended Abstracts 2020: 1-8 - [c1]Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan:
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy. HCOMP 2020: 63-72 - [i1]Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan:
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy. CoRR abs/2008.12735 (2020)
Coauthor Index
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