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.
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We study and model how trust and attention affect how humans interact with autonomous vehicles.
Harold was awarded the faculty teaching award for the year 19/20!
Training robots that can interactively assist humans with private information
Yaqi Xie is awarded the Research Achievement Award for his NeurIPS 2019 paper on Embedding symbolic knowledge into deep networks.
Human Trust in Robots across Task Contexts
Leveraging prior symbolic knowledge to improve the performance of deep models.
We propose a probabilistic programming approach to affective computing.