Abstract: Devices, systems, and methods that facilitate learning a language in an extended reality (XR) environment. This may involve identifying objects or activities in the environment, identifying a context associated with the user or the environment, and providing language teaching content based on the objects, activities, or contexts. In one example, the language teaching content provides individual words, phrases, or sentences corresponding to the objects, activities, or contexts. In another example, the language teaching content requests user interaction (e.g., via quiz questions or educational games) corresponding to the objects, activities, or contexts. Context may be used to determine whether or how to provide the language teaching content. For example, based on a user's current course of language study (e.g., this week's vocabulary list), corresponding object or activities may be identified in the environment for use in providing the language teaching content.

Abstract: Various implementations disclosed herein include devices, systems, and methods that determine that a user is interested in audio content by determining that a movement (e.g., a user's head bob) has a time-based relationship with detected audio content (e.g., the beat of music playing in the background). Some implementations involve obtaining first sensor data and second sensor data corresponding to a physical environment, the first sensor data corresponding to audio in the physical environment and the second sensor data corresponding to a body movement in the physical environment. A time-based relationship between one or more elements of the audio and one or more aspects of the body movement is identified based on the first sensor data and the second sensor data. An interest in content of the audio is identified based on identifying the time-based relationship. Various actions may be performed proactively based on identifying the interest in the content.