The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $714,227 Project Grant to the Rehabilitation Institute of Chicago to support research integrating human and machine learning for enabling co-adaptive body-machine interfaces. The goal of this three-year project beginning September 2021 and ending August 2024 is to characterize the human learning process in developing representations of interfaces and to develop machine learning rules for updating interface mappings based on monitoring human learning dynamics. Northwestern University will collaborate on objectives to model human learning as a dynamical system compared to empirical data and to create machine learning updates for interfaces capturing the dynamics of human learning. This project aims to establish a new family of low-cost, non-invasive interfaces applicable beyond assistive devices by understanding human-machine interactions through the lens of cooperative human-machine learning.
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