| 2025 | CogSci | Visualizing Motion Traces Enhances Pursuit Detection in Dynamic Scenes. | Yishu Ji, Maria Kon, Andrew M. Lovett, Mark Livingston, Sangeet Khemlani, Yalong Yang, Cindy Xiong Bearfield |
| 2024 | CogSci | Measuring and Modeling Pursuit Detection in Dynamic Visual Scenes. | Maria Kon, Sangeet Khemlani, Andrew M. Lovett |
| 2021 | CogSci | Selection, Engagement, & Enhancement: A Framework for Modeling Visual Attention. | Andrew M. Lovett, Will Bridewell, Paul Bello |
| 2019 | CogSci | Attentional Capture: Modeling Automatic Mechanisms and Top-Down Control. | Andrew M. Lovett, Will Bridewell, Paul Bello |
| 2018 | CogSci | An Attention-Driven Computational Model of Human Causal Reasoning. | Paul Bello, Andrew M. Lovett, Gordon Briggs, Kevin O'Neill |
| 2017 | CogSci | Goal-Directed Deployment of Attention in a Computational Model: A Study in Multiple-Object Tracking. | Andrew M. Lovett, Will Bridewell, Paul Bello |
| 2015 | CogSci | Topological Relations between Objects Are Categorically Coded. | Andrew M. Lovett, Steven Franconeri |
| 2014 | CogSci | Modeling Spatial Abstraction during Mental Rotation. | Andrew M. Lovett, Holger Schultheis |
| 2013 | CogSci | Glushko Dissertation Prize Symposium. | Douglas Knox Bemis, Neil Cohn, George Kachergis, Andrew M. Lovett, Robert L. Goldstone |
| 2013 | CogSci | Modeling Spatial Ability in Mental Rotation and Paper-Folding. | Andrew M. Lovett, Kenneth D. Forbus |
| 2012 | CogSci | Modeling Multiple Strategies for Solving Geometric Analogy Problems. | Andrew M. Lovett, Kenneth D. Forbus |
| 2008 | AAAI | CogSketch. | Kenneth D. Forbus, Andrew M. Lovett, Kate Lockwood, Jon Wetzel, Camillia Matuk, Benjamin D. Jee, Jeffrey M. Usher |
| 2007 | IJCAI | Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition. | Andrew M. Lovett, Morteza Dehghani, Kenneth D. Forbus |