TECHNIQUES FOR MANAGING TASKS FOR EFFICIENT WORKFLOW MANAGEMENT

    公开(公告)号:US20240104467A1

    公开(公告)日:2024-03-28

    申请号:US17934382

    申请日:2022-09-22

    CPC classification number: G06Q10/0633 G06Q10/063112 G06Q10/06316

    Abstract: Tasks associated with users can be managed for efficient workflow management. A task management component (TMC) can analyze, including performing artificial intelligence-based analysis on, task-related information relating to associated with a user(s), assessment information relating to assessing performance or expertise associated with a task, biometric information relating to health, diet, and activity associated with the user(s), and/or user(s) feedback information. Based on the analysis, TMC can adaptively adjust respective attributes associated with respective tasks, resulting in respective adjusted attributes associated with the respective tasks. Based on the respective adjusted attributes, TMC can determine task information and can present the task information to a device(s) associated with the user(s) to facilitate performance of the tasks. In response to detecting user fatigue or stress, TMC can adjust task attributes, including task completion due dates, to allow user recovery time, while still ensuring timely completion of tasks.

    Enhanced Emotive Engagement with Volumetric Content

    公开(公告)号:US20230057722A1

    公开(公告)日:2023-02-23

    申请号:US17408542

    申请日:2021-08-23

    Abstract: A volumetric content enhancement system (“the system”) can annotate at least a portion of a plurality of voxels from a volumetric video with contextual data. The system can determine at least one actionable position within the volumetric video. The system can create an annotated volumetric video that includes the volumetric video, an annotation with the contextual data, and the at least one actionable position. The system can provide the annotated volumetric video to a volumetric content playback system. The system can obtain viewer feedback associated with the viewer and can determine an emotional state of the viewer based, at least in part, upon the viewer feedback. The system can receive viewer position information that identifies a specific actionable position of the viewer. The system can generate manipulation instructions to instruct the volumetric content playback system to manipulate the annotated volumetric content to achieve a desired emotional state of the viewer.

    SYSTEMS AND METHODS FOR AUTOMATED INFORMATION RETRIEVAL

    公开(公告)号:US20200250239A1

    公开(公告)日:2020-08-06

    申请号:US16264205

    申请日:2019-01-31

    Abstract: An automated information retrieval system includes a processor coupled to a communications interface and a non-transitory memory. The processor is configured to read instructions from the non-transitory memory to cause the system to perform operations comprising receiving a term including a plurality of words and generating a plurality of word vectors corresponding to the plurality of words respectively. A plurality of term vectors associated with the term is generated using the plurality of word vectors based on a plurality of term vector rules respectively. A combination term vector associated with the term is generated by combining the plurality of term vectors. One or more search results from a database for the term are provided using the combination term vector.

    EVENT ATTRIBUTION BY EXPERIENCE AND CONTENT
    5.
    发明公开

    公开(公告)号:US20240112280A1

    公开(公告)日:2024-04-04

    申请号:US17937896

    申请日:2022-10-04

    CPC classification number: G06Q50/01 H04W12/64 H04W12/69

    Abstract: An architecture related to the creation of, and attribution to, experiences based on location, popularity, captured media, and/or objects. A method can comprise receiving social media data associated with a user associated with a user identity, generating an attributable identity token based on the social media data and a learning model, wherein the attributable identity token is associated with the user identity and is representative of location data and experience data, and wherein the learning model comprises a collection of rules, and disseminating, by the device, the attributable identity token to a group of user identities associated with a social media operator entity.

    SYSTEM FOR DETECTION AND ANALYSIS OF VIEWERSHIP ANOMALIES

    公开(公告)号:US20230028101A1

    公开(公告)日:2023-01-26

    申请号:US17960963

    申请日:2022-10-06

    Abstract: Aspects of the subject disclosure may include, for example, a method of receiving, by a processing system including a processor, viewership data for a plurality of viewers watching a program; identifying, by the processing system, an anomalous event from the viewership data, wherein the viewership data includes data points per viewer logged on a per second basis, and wherein the processing system identifies the anomalous event using a pattern recognition algorithm; analyzing, by the processing system, the viewership data to determine a reason for the anomalous event; and providing, by the processing system, a user interface that presents a comparison of the anomalous event versus a standard and indicia for the reason for the anomalous event. Other embodiments are disclosed.

    SYSTEM FOR NOSTALGIC CONTENT LINKS AND PLAYBACK

    公开(公告)号:US20220351248A1

    公开(公告)日:2022-11-03

    申请号:US17863193

    申请日:2022-07-12

    Abstract: Aspects of the subject disclosure may include, for example, a method that includes determining, by a processing system including a processor, that a viewer is viewing primary content for a first time; capturing, by the processing system, an emotive response of the viewer as the primary content is viewed during the first time; determining that the viewer is viewing the primary content at a subsequent time, wherein the subsequent time is later than the first time; detecting the emotive response of the viewer as the primary content is viewed during the subsequent time; retrieving external media responsive to detecting the emotive response; and displaying the external media. Other embodiments are disclosed.

Patent Agency Ranking