ATTENTION DETECTION
    2.
    发明公开
    ATTENTION DETECTION 审中-公开

    公开(公告)号:US20240164677A1

    公开(公告)日:2024-05-23

    申请号:US18283850

    申请日:2022-03-17

    Applicant: Apple Inc.

    CPC classification number: A61B5/168 A61B5/163

    Abstract: Various implementations disclosed herein include devices, systems, and methods that determine an attentive state of a user during presentation of content. For example, an example process may include obtaining physiological data associated with a gaze of a user during an experience, wherein the user experience is associated with a task, determining that the user has a first attentive state during the experience based on the physiological data, the first attentive state corresponding to a lack of attention by the user in the task during the experience, and providing a feedback mechanism during the experience based on determining that the user has the first attentive state during the experience.

    User feedback based on retention prediction

    公开(公告)号:US12210676B1

    公开(公告)日:2025-01-28

    申请号:US18243933

    申请日:2023-09-08

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein include devices, systems, and methods that assess physiological data of a user and a scene understanding of a physical environment to determine a retention state. For example, an example process may include obtaining physiological data in an environment during a first period of time. The process may further include identifying one or more of the objects in the environment based on determining a scene understanding of the environment. The process may further include determining, based on the physiological data and the scene understanding, features associated with interaction events for the one or more objects. The process may further include determining, based on the features, a retention state during the first period of time, the retention state associated with retention of a concept associated with an object of the one or more objects. The process may further include providing feedback based on identifying the retention state.

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