The goal of this award is to develop theories, methods, and tools to understand the mechanisms of neuromotor adaptation in human-robot physical interaction. Human power-assisting systems, e.g., powered lifting devices that aid human operators in manipulating heavy or bulky loads, require physical contact between the operator and machine, creating a coupled dynamic system. This coupled […]
Divya Srivastava Presents at 5th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2021)
FEB 10, 2021 — 3rd-year CEC graduate student, Divya Srivastava, presents her work, “Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains” virtually at the 5th International Conference on Human Computer Interaction Theory and Applications (HUCAPP 2021). The work is coauthored by Spencer Frazier (GT’s Human-Centered AI Lab), Dr. […]