SYSTEMS AND METHODS OF GUIDED INFORMATION INTAKE

    公开(公告)号:US20220189623A1

    公开(公告)日:2022-06-16

    申请号:US17550482

    申请日:2021-12-14

    IPC分类号: G16H40/63 G10L15/22 G10L15/18

    摘要: Systems and methods relating to collecting guided user data generating recommendations are disclosed, with particular reference to collecting user data related to the well-being of a user. Such systems and methods include obtaining well-being data associated with a user and determining that a triggering event has occurred based at least upon the well-being data collected. A user log may be generated by iteratively presenting a plurality of information prompts to the user. In generating the user log, the systems and methods may apply a conversational artificial intelligence model, receive user responses to prompts, and add data entries to the user log. A user action recommendation based upon the data entries may be generated and presented to the user.

    SYSTEMS AND METHODS FOR GENERATING USER-SPECIFIC WELL-BEING TASKS

    公开(公告)号:US20220188934A1

    公开(公告)日:2022-06-16

    申请号:US17550475

    申请日:2021-12-14

    IPC分类号: G06Q40/06 G16H40/63 G06Q50/00

    摘要: Systems and methods for generating user-specific well-being recommendations relating to user interaction with a well-being application are disclosed. User data is obtained via the well-being application and from additional data sources, and such user data is processed to determine user conditions that may serve as triggering events (e.g., major life events or changes in user well-being). When a triggering event occurs, well-being tasks are determined and personalized into a user-specific well-being recommendation to the user of the well-being application. In some embodiments, additional prompts may be used to obtain additional user data to further personalize the user-specific well-being recommendation, which may include monitors user responses to offers for additional information in the well-being application. User personalization may include determining a best time or manner of presenting the recommendation to the user to increase the likelihood of user performance of the recommended well-being tasks.