GOAL-DRIVEN HUMAN-MACHINE INTERACTION ARCHITECTURE, AND SYSTEMS AND METHODS OF USE THEREOF

    公开(公告)号:US20240403772A1

    公开(公告)日:2024-12-05

    申请号:US18648242

    申请日:2024-04-26

    Abstract: A method includes assessing a semantic-based query for a user that includes user goals and assessing probability values and first goal probability values, both of which are associated with active digital actions. The method includes generating a decision engine to determine a user friction value and second goal probability values associated with the user goals using the first goal probability values and the probability values. Further, the method includes determining the user friction value and the second goal probability values using the first goal probability values and the probability values. Moreover, the method includes determining a plan of digital actions based on the user friction value, the second goal probability values, and the user goals. Furthermore, the method includes, in response to determining the user friction value exceeds a predetermined threshold, generating a query to adjust the active digital actions based on the semantic-based query for the user.

    DESIGNING AND OPTIMIZING ADAPTIVE SHORTCUTS FOR EXTENDED REALITY

    公开(公告)号:US20240144618A1

    公开(公告)日:2024-05-02

    申请号:US18497241

    申请日:2023-10-30

    CPC classification number: G06T19/006 G06F3/011 G06T2200/24

    Abstract: Disclosed herein is an extended reality system, and associated techniques, whereby personalized usage data of a user in one or more extended reality environments over a period of time can be collected and provided to a predictive model to determine optimal shortcut assignments for presentation to and subsequent use by the user. Determining the optimal shortcut assignments can involve estimating a plurality of interaction times for the user in the one or more extended reality environments, generating an optimized graphical user interface within the one or more extended reality environments with the optimal shortcut assignments reflected in the optimized graphical user interface, and rendering the optimized graphical user interface in the one or more extended reality environments to the user. The system may collect additional personalized usage data and periodically update the optimal shortcut assignments based on ongoing use of the system by the user.

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