activity
20232026
collaborators

6 papers

cs.LG2026

Early Prediction of Future Behavioral Strategy from Process Traces

Robert Kasumba, Dennis Barbour, Chien-Ju Ho

Adaptive systems often need to make task-specific decisions about people from limited evidence: a tutor may need to anticipate how a learner will approach a new problem, a game may…

cs.HC2026

pixelLOG: Logging of Online Gameplay for Cognitive Research

Zeyu Lu, Dennis L. Barbour

Traditional cognitive assessments often rely on isolated, output-focused measurements that may fail to capture the complexity of human cognition in naturalistic settings. We presen…

cs.LG2025

Bayesian Distributional Models of Executive Functioning

Robert Kasumba, Zeyu Lu, Dom CP Marticorena +9

This study uses controlled simulations with known ground-truth parameters to evaluate how Distributional Latent Variable Models (DLVM) and Bayesian Distributional Active LEarning (…

cs.LG2025

Multidimensional Bayesian Active Machine Learning of Working Memory Task Performance

Dom CP Marticorena, Chris Wissmann, Zeyu Lu +1

While adaptive experimental design has outgrown one-dimensional, staircase-based adaptations, most cognitive experiments still control a single factor and summarize performance wit…

cs.HC2025

Interactive Virtual Games: Winners for Deep Cognitive Assessment

Dom CP Marticorena, Zeyu Lu, Chris Wissmann +4

Studies of human cognition often rely on brief, highly controlled tasks that emphasize group-level effects but poorly capture the rich variability within and between individuals. A…

cs.AI2023

Distributional Latent Variable Models with an Application in Active Cognitive Testing

Robert Kasumba, Dom CP Marticorena, Anja Pahor +6

Cognitive modeling commonly relies on asking participants to complete a battery of varied tests in order to estimate attention, working memory, and other latent variables. In many…