Alexandria K. Vail is a Ph.D. student in Human-Computer Interaction. Her research interests include user modeling, affective computing, and multimodal behavior analysis, particularly within the context of healthcare and clinical decision support technologies. Her work recently received the Best Paper Award at the International Conference on User Modelling, Adaptation, and Personalization; this work has also been recognized with distinction at the International Conference on Intelligent Tutoring Systems and the International Conference on Educational Data Mining. Before joining CMU, she received the B.S. degree in Computer Science and the B.S. degree in Mathematics from North Carolina State University, with minor concentrations in Cognitive Science and Physics.