INTELLIGENT REPORTING WITHIN ONLINE COMMUNITIES

    公开(公告)号:US20250071157A1

    公开(公告)日:2025-02-27

    申请号:US18238414

    申请日:2023-08-25

    Abstract: Systems and methods of intelligent reporting within online communities are provided. A current communication session associated with a plurality of user device may be monitored. The current communication session may include a stream of audio-visual content generated in real-time based on interactions between the user devices. A recording trigger may be detected within the current communication session. A recording of a portion of the stream of audio-visual content may be recorded in response to the detected trigger event. The recording may be analyzed to attribute one or more sub-portions within the recording to one or more of the user devices. At least one of the sub-portions attributed to an identified one of the user devices may be determined to meet a moderation event. A report regarding the identified user device may be generated that includes the at least one sub-portion that meets the moderation event.

    AUTOMATED VISUAL TRIGGER PROFILING AND DETECTION

    公开(公告)号:US20250056091A1

    公开(公告)日:2025-02-13

    申请号:US18926075

    申请日:2024-10-24

    Abstract: Systems and methods for automated visual trigger profiling and detection within virtual environments are provided. A visual trigger profile may be stored in memory that includes a set of visual trigger characteristics associated with a type of visual sensitivity. Buffered frames of an audiovisual stream that have not yet been displayed may be monitored to identify when a buffered frame includes a threshold level of the visual trigger characteristics associated with the visual sensitivity. A frame modification that decreases the level of the detected visual trigger characteristics associated with the visual sensitivity may be identified and applied to the identified frames. The modified frames may thereafter be presented during the audiovisual stream in place of the original (unmodified) identified frames.

    Artificial Intelligence (AI) Player Modeling and Training

    公开(公告)号:US20240165509A1

    公开(公告)日:2024-05-23

    申请号:US18493180

    申请日:2023-10-24

    CPC classification number: A63F13/40 G06N20/00

    Abstract: An artificial intelligence (AI) model generates a control input for a virtual player of a video game based on input state data. A video stream of the video game is generated based on the control input for the virtual player of the video game. The video stream is transmitted to a client device. Training feedback data is received from the client device and includes a time-dependent series of human-generated feedback elements correlated to the video stream. Each feedback element indicates that the control input for the virtual player of the video game, as generated by the AI model, is either a player-approved control input or a player-disapproved control input. AI model training includes reinforcing use of the player-approved control input for the virtual player in response to the input state data, and diminishing use of the player-disapproved control input for the virtual player in response to the input state data.

    REPORTING AND CROWD-SOURCED REVIEW WHETHER GAME ACTIVITY IS APPROPRIATE FOR USER

    公开(公告)号:US20240033643A1

    公开(公告)日:2024-02-01

    申请号:US17874119

    申请日:2022-07-26

    CPC classification number: A63F13/75 A63F13/79 A63F13/335

    Abstract: A method performed for evaluating activity in a video game, including: executing a multi-player session of a video game; during the multi-player session, receiving flag event data from a first player device, the flag event data indicating that a first player has flagged a gameplay incident occurring during the multi-player session as potentially inappropriate; responsive to receiving the flag event data, then sending a request to a plurality of second player devices, wherein responsive to said request each of the plurality of second player devices renders a voting interface to obtain voting input from each of a plurality of second players regarding whether the gameplay incident is inappropriate; receiving said voting input from the plurality of second player devices, and responsive to said voting input identifying a threshold amount of the plurality of second players considering the gameplay incident to be inappropriate, then administering a penalty for the gameplay incident.

    Systems and methods for predicting states by using a distributed game engine

    公开(公告)号:US11865450B2

    公开(公告)日:2024-01-09

    申请号:US17143454

    申请日:2021-01-07

    Inventor: Steven Osman

    CPC classification number: A63F13/577 A63F13/335 A63F13/58 G06N20/00

    Abstract: A method for reducing latency in execution of a game is described. The method includes receiving via a computer network a user input associated with the game and determining from the user input a current state of the game. While the current state of the game is being determined, the method includes predicting a next state of the game based on the user input and one or more predicted user inputs. The method further includes generating one or more predicted image frames from the next state, determining whether the one or more predicted user inputs are received via the computer network, and sending the one or more predicted image frames in response to receiving the one or more predicted user inputs to reduce the latency in execution of the game.

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