collaborators

5 papers

cs.LG2026

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.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.LG2026

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.HC2026

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.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…