METHOD AND SYSTEM FOR PROVIDING A GRAPHICAL USER INTERFACE USING MACHINE LEARNING AND MOVEMENT OF THE USER OR USER DEVICE

The present method and system are for providing a graphical user interface using machine learning and movement of the user or user device. In an example, the method and system comprise, training a context analyzer machine learning model with training motion data for a training activity context, the context analyzer for predicting a predicted activity context from new motion data; training a response analyzer machine learning model with training usage data and training user responses for the training activity context for a user interface, the response analyzer for predicting the predicted user response from the predicted activity context and new usage data; predicting the predicted user response from motion data and usage data using both the context analyzer and the response analyzer; and determining a preferred variation for the user interface using a predetermined performance metric and the predicted user response.