The effects of meaningful and meaningless explanations on trust and perceived system accuracy in intelligent systems M Nourani, S Kabir, S Mohseni, ED Ragan Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 110 | 2019 |
Anchoring bias affects mental model formation and user reliance in explainable AI systems M Nourani, C Roy, JE Block, DR Honeycutt, T Rahman, E Ragan, ... Proceedings of the 26th International Conference on Intelligent User …, 2021 | 101* | 2021 |
The role of domain expertise in user trust and the impact of first impressions with intelligent systems M Nourani, J King, E Ragan Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 …, 2020 | 99 | 2020 |
Soliciting human-in-the-loop user feedback for interactive machine learning reduces user trust and impressions of model accuracy D Honeycutt, M Nourani, E Ragan Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 …, 2020 | 76 | 2020 |
Investigating the importance of first impressions and explainable ai with interactive video analysis M Nourani, DR Honeycutt, JE Block, C Roy, T Rahman, ED Ragan, ... Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 36* | 2020 |
Explainable Activity Recognition in Videos: Lessons Learned C Roy, M Nourani, DR Honeycutt, JE Block, T Rahman, ED Ragan, ... Applied AI Letters, 2021 | 33 | 2021 |
Don't explain without verifying veracity: an evaluation of explainable ai with video activity recognition M Nourani, C Roy, T Rahman, ED Ragan, N Ruozzi, V Gogate arXiv preprint arXiv:2005.02335, 2020 | 23* | 2020 |
On the importance of user backgrounds and impressions: Lessons learned from interactive AI applications M Nourani, C Roy, JE Block, DR Honeycutt, T Rahman, ED Ragan, ... ACM Transactions on Interactive Intelligent Systems 12 (4), 1-29, 2022 | 13* | 2022 |
SplitStreams: A Visual Metaphor for Evolving Hierarchies F Bolte, M Nourani, ED Ragan, S Bruckner IEEE Transactions on Visualization and Computer Graphics (2020), 2020 | 9 | 2020 |
Understanding the Effects of Explanation Types and User Motivations on Recommender System Use Q Li, S Chu, N Rao, M Nourani Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 …, 2020 | 8 | 2020 |
DETOXER: A Visual Debugging Tool With Multiscope Explanations for Temporal Multilabel Classification M Nourani, C Roy, DR Honeycutt, ED Ragan, V Gogate IEEE Computer Graphics and Applications 42 (6), 37-46, 2022 | 5 | 2022 |
Romadoro: Leveraging Nudge Techniques to Encourage Break-Taking K Jurczyk, C You, M Nourani, M Gupta, L Anthony, B Lok Adjunct Proceedings of the 34th Annual ACM Symposium on User Interface …, 2021 | 3 | 2021 |
An Evaluation of View Rotation Techniques for Seated Navigation in Virtual Reality B Benda, SP Sargunam, M Nourani, ED Ragan IEEE Transactions on Visualization and Computer Graphics, 2023 | 2 | 2023 |
Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models C Roy, M Nourani, S Arya, M Shanbhag, T Rahman, ED Ragan, N Ruozzi, ... ACM Transactions on Interactive Intelligent Systems 13 (4), 1-32, 2023 | 1 | 2023 |
Shadows of the Past: The Effects of User's Differences and Past Experiences on Human-AI Partnership M Nourani University of Florida, 2023 | | 2023 |
Explainable Activity Recognition in Videos. C Roy, M Shanbhag, M Nourani, T Rahman, S Kabir, V Gogate, N Ruozzi, ... ExSS'19, IUI Workshops, 2019 | | 2019 |
Welcome from the Workshop Organizers TREX 2022 M Nourani, E Ragan, A Karduni, C Xiong, BD Pierson | | |
Welcome from the TREX 2021 Organizers M Nourani, E Wall, E Ragan, A Karduni, J Goodall, A Dasgupta, ... | | |
Explainable Activity Recognition in Videos using Dynamic Cutset Networks C Roy, M Nourani, M Shanbagh, S Kabir, T Rahman, ED Ragan, ... | | |