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Modeling the Interplay of Trust and Attention in HRI an Autonomous Vehicle Study

We study and model how trust and attention affect how humans interact with autonomous vehicles.

Harold wins faculty teaching award for the 3rd time!

Harold was awarded the faculty teaching award for the year 19/20!

Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning

Training robots that can interactively assist humans with private information

Yaqi wins the 2020 Research Achievement Award.

Yaqi Xie is awarded the Research Achievement Award for his NeurIPS 2019 paper on Embedding symbolic knowledge into deep networks.

Multi-Task Trust in Human-Robot Interaction

Human Trust in Robots across Task Contexts

Embedding Symbolic Knowledge into Deep Networks

Leveraging prior symbolic knowledge to improve the performance of deep models.

Applying Probabilistic Programming to Affective Computing

We propose a probabilistic programming approach to affective computing.