Summer Hangouts: Lyle Ungar and Louis Hickman
Assessing Interpersonal Judgments using Explainable AI
RDDSX space outside the Collaborative Classroom
Van Pelt-Dietrich Library
We use deep learning models to predict ratings of the warmth, competence, and morality of people introducing themselves in short videos. By showing which multimodal features drive these predictions, we provide insight into first impression formation. Explaining such models and their predictions is important both for training workers and for evaluating computer-based assessments of candidates.
Learn More About Lyle Ungar, Professor of Computer & Information Science
Learn More About Louis Hickman, Industrial-Organizational Psychology at Virginia Tech
DDDI’s 2024 Summer Hangouts program offers students the opportunity to participate in informal, hands-on tutorials led by our team of DDDI postdoctoral research fellows. These tutorials are open to students from all backgrounds and skill levels and cover various data science methods and topics. Hangouts will be held twice a week on Tuesdays and Thursdays, from June 11th through June 25th. A pizza lunch will be provided.
Our Hangouts series this year will explore causal inference, machine learning, and generative AI for scientific discovery across fields. All are welcome!