1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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 (…
On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
Guanghui Yu, Robert Kasumba, Chien-Ju Ho +1
To enable effective human-AI collaboration, merely optimizing AI performance without considering human factors is insufficient. Recent research has shown that designing AI agents t…
Goal Recognition Design for General Behavioral Agents using Machine Learning
Robert Kasumba, Guanghui Yu, Chien-Ju Ho +2
Goal recognition design (GRD) aims to make limited modifications to decision-making environments to make it easier to infer the goals of agents acting within those environments. Al…
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…