This publication describes methods for learning a user’s intent, when the user interacts with multiple computing devices, based on detected spatial gestures. The methods may utilize a machine-learned model with a reinforcement-learning framework trained to classify spatial gestures, user state information, and/or device state information detected during a device-to-device interaction, generate predictions relating to the intent of the user, and utilize the predictions to facilitate the device-to-device interaction.
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Xu, Mingguang; Shi, Kai; and Zhang, Ning, "Methods for Learning a User’s Intent Based on Spatial Gestures", Technical Disclosure Commons, (December 27, 2021)