Christina Boyce-Jacino, Ph.D.
Postdoctoral Fellow, Consortium of Universities of Washington Metropolitan Area
U.S. Army Research Institute for Behavioral and Social Sceinces
Department of Social and Decision Sciences, Carnegie Mellon University
Question asking, Decision making, Computation and Cognition, Data science, Complex Systems
Social interactions make complex demands on individual cognition. The goal of my research is to explore how the basic psychological processes underlying social interactions, such as theory of mind, information search, and memory retrieval, operate together to form social cognition.
My training in cognitive psychology and decision science provides the conceptual framework for these investigations. Meanwhile, my research methodologies combine traditional experimental work in both the laboratory and online, and data science approaches that leverage tools from machine learning and natural language processing (NLP) to see how laboratory phenomena scale up to real world contexts.
At present, the focus of my research is on question asking, a key domain of social cognition. This work combines classic psychological theory with semantic-modeling tools from NLP to investigate the relationship between questions and answers, the features of hard questions, and the semantics of good answers.