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Profile

Dr. Ngoc Nguyen is currently an Assistant Professor of Computer Science in the Department of Computer Science at the University of Dayton. Before joining UD, Dr. Nguyen was a visiting faculty lecturer at the Miner School of Computer and Information Sciences, University of Massachusetts, Lowell. Prior to that, she spent three years as a postdoctoral researcher at the Dynamic Decision Making Lab at Carnegie Mellon University. Dr. Nguyen received her Ph.D. in Computer Science for research on supporting group decision-making processes with recommendation techniques from the Free University of Bozen-Bolzano, Italy.

Research interests

• Recommender Systems
• Modeling of Human Choice Behavior
• Artificial Intelligence
• Human-AI Interaction
• Machine Learning

Research overview

Dr. Nguyen’s research is centered around understanding how people learn to make decisions under uncertainty and how to design artificial intelligence systems that facilitate human decision-making processes as well as are useful for humans to collaborate with when making joint decisions. Her research seeks to leverage approaches from the interdisciplinary intersection of cognitive science, social psychology, and computer science to model and predict human behavior, improve machine learning models, as well as identify design principles for developing intelligent systems that interact with humans.

Professional activities

Workshop co-organizer: AAAI 2021 Fall Symposium on Computational Theory of Mind for Human-Machine Teams; ENTER 2017 e-Tourism Workshop on Decision Making in Tourism, Rome, Italy

Program committee: ACM Conference on Recommender Systems; ACM Conference on User Modelling, Adaptation and Personalization; ACM The Web Conference

Journal reviewer: ACM Transactions on Intelligent Systems and Technology (TIST); ACM Transactions on Information Systems (TOIS); Journal of Intelligent Information Systems; User Modeling and User-Adapted Interaction; Personal and Ubiquitous Computing; Frontiers in Computer Science; Topics in Cognitive Science

Selected publications

A full list of publications is available online.

Nguyen, T.N., Gonzalez, C (2023). Minimap: An interactive dynamic decision making game for search and rescue missions. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02149-7

Nguyen, T. N., Phan, D. N., & Gonzalez, C. (2022). SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory. Behavior Research Methods, 1-24

Zhao, M., Eadeh, F., Nguyen, T. N., Gupta, P., Gonzalez, C., Admoni, H., and Woolley, A. W. (2022). Teaching Agents to Understand Teamwork: Evaluating and Predicting Collective Intelligence as a Latent Variable via Hidden Markov Model. Computers in Human Behavior, 139, 107524

Nguyen, T. N., & Gonzalez, C. (2021). Theory of Mind from Observation in Cognitive Models and Humans. Topics in Cognitive Science

Nguyen, T. N., & Gonzalez, C. (2020). Cognitive Machine Theory of Mind. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020). 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020), July 29-Aug. 1, Virtual meeting. (pp. 2560-2566)

Nguyen, T. N., Ricci, F., Delic, A., & Bridge, D. (2019). Conflict resolution in group decision making: insights from a simulation study. User Modeling and User-Adapted Interaction, 29(5), 895-941

Nguyen, T. N., & Ricci, F. (2018). A chat-based group recommender system for tourism. Information Technology & Tourism, 18(1-4), 5-28

Nguyen, T. N., & Ricci, F. (2018). Situation-dependent combination of long-term and session-based preferences in group recommendations: an experimental analysis. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing (pp. 1366-1373)

Nguyen, T. N., & Ricci, F. (2017). Dynamic elicitation of user preferences in a chat-based group recommender system. In Proceedings of the 32nd Symposium on Applied Computing (pp. 1685-1692)

Nguyen, T. N., & Ricci, F. (2017). Combining long-term and discussion-generated preferences in group recommendations. In Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization (UMAP 2017) (pp. 377-378)

Delic, A., Neidhardt, J., Nguyen, T. N., Ricci, F., Rook, L., Werthner, H., & Zanker, M. (2016). Observing group decision making processes. In Proceedings of the 10th ACM conference on recommender systems (pp. 147-150)