Research and Projects

Generating Photorealistic Facial Expressions in Dyadic Interactions

Abstract: We propose an approach for generating photorealistic facial expressions for multiple virtual identities in dyadic interactions. To this end, we study human-human interactions to model one individual’s facial expressions in the reaction of the other. We introduce a two level optimization of generative adversarial networks, where in the first stage generates one’s face shapes conditioned […]

A Generative Approach for Dynamically Varying Photorealistic Facial Expressions in Human-Agent Interactions

Abstract: This paper presents an approach for generating photorealistic video sequences of dynamically varying facial expressions in human-agent interactions. To this end, we study human-human interactions to model the relationship and influence of one individual’s facial expressions in the reaction of the other. We introduce a two level optimization of generative adversarial models, wherein the first […]

Delaying Access to a Problem-Skipping Option Increases Effortful Practice: Application of an A/B Test in Large-Scale Online Learning

Abstract: We report on an online double-blind randomized controlled field experiment (A/B test) in Math Garden, a computer adaptive practice system with over 150,000 active primary school children. The experiment was designed to eliminate an unforeseen opportunity to practice with minimal effort. Some children tend to skip problems that require deliberate effort, and only attempt problems […]

Network Psychometrics

Abstract: This chapter provides a general introduction of network modeling in psychometrics. The chapter starts with an introduction to the statistical model formulation of pairwise Markov random fields (PMRF), followed by an introduction of the PMRF suitable for binary data: the Ising model. The Ising model is a model used in ferromagnetism to explain phase […]

Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions.

Abstract: The Ising model was originally developed to model magnetisation of solids in statistical physics. As a network of binary variables with the probability of becoming ‘active’ depending only on direct neighbours, the Ising model appears appropriate for many other processes. For instance, it was recently applied in psychology to model co-occurrences of mental disorders. […]

Process Data in NAEP. Past, Present, and Future

Abstract: This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in this hierarchy […]

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