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

    Abstract: 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.

    CONTACT CENTER ASSISTANT
    48.
    发明申请

    公开(公告)号:US20250111172A1

    公开(公告)日:2025-04-03

    申请号:US18819440

    申请日:2024-08-29

    Abstract: A contact center assistant may assist representatives associated with a contact center during calls and/or other types of contacts with callers. The contact center assistant may include a generative artificial intelligence (AI) and/or machine learning (ML) model, such as a large language model, that dynamically generates natural language output proactively and/or in response to questions or statements made during contacts. Representatives may accordingly read the natural language output generated by the generative AI model during contacts with callers, and/or otherwise use the natural language output as guidance during contacts with callers.

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