Abstract: One example provides a human-machine interface (HMI) to receive interaction inputs including user interaction content representing different user interaction modalities (UIMs). The HMI includes a plurality of machine learning (ML) models corresponding to different UIMs to process user interaction content representing the corresponding UIM to provide model outputs. An interface manager dynamically adjusts a selected set of UIMs and a selected set of ML models to enable the selected set of UIMs based on monitoring of at least the user interaction content of the plurality of interaction inputs, and implements a user interface including ML models of a currently selected set of ML models interconnected with one another with an interconnect structure to convert user interaction content corresponding to the currently selected set of UIMs to operational inputs based on the model outputs of the currently selected set of ML models.