SYSTEMS AND METHODS FOR BEHAVIOR-BASED CHARACTERIZATION OF AVATARS IN A COMPUTER-GENERATED ENVIRONMENT

    公开(公告)号:US20230014321A1

    公开(公告)日:2023-01-19

    申请号:US17377018

    申请日:2021-07-15

    Abstract: Systems and methods for a computer-based process that detects improper behavior of avatars in a computer-generated environment, and marks these avatars accordingly, so that other users may perceive marked avatars as bad actors. Systems of embodiments of the disclosure may monitor avatar speech, text, and actions. If the system detects behavior it deems undesirable, such as behavior against any laws or rules of the environment, abusive or obscene language, and the like, avatars committing or associated with this behavior are marked in some manner that is visually apparent to other users. In this manner, improperly-behaving avatars may be more easily recognized and avoided, thus improving the experience of other users.

    GAMING CONTENT RECOMMENDATION FOR A VIDEO GAME

    公开(公告)号:US20240009577A1

    公开(公告)日:2024-01-11

    申请号:US18371757

    申请日:2023-09-22

    CPC classification number: A63F13/798 A63F13/80 A63F13/85 A63F2300/558

    Abstract: Systems and methods for providing game content recommendation of a video game based on player's performance are disclosed. Prior to an actual video game play, a performance metric is calculated based on a stored player data and video settings of the game. The performance metric is evaluated to further calculate a performance metric of video game play session content indicative of aspects of actual video game play. A metrics data of each player in determined from the video game play session content. The player metrics data is analyzed relative to the stored player data and the video settings of the game to determine whether to recommend the video game play session content.

    Gaming content recommendation for a video game

    公开(公告)号:US11318391B2

    公开(公告)日:2022-05-03

    申请号:US16871586

    申请日:2020-05-11

    Abstract: Systems and methods for providing game content recommendation of a multiplayer online battle arena (MOBA) video game based on player's performance are disclosed. Prior to an actual MOBA video game play, a player data stored for each player of each team is analyzed to evaluate a video game session content. The player data is associated with the video game play session and stored settings for the MOBA video game. The player data includes attack metrics, defense metrics, and damage metrics to determine to evaluate the video game play session content. During the actual MOBA video game play, an in-game performance of each player of each team in the video game play session content is analyzed to recommend the video game plays session. Such analysis is based on game map of the video game play session and in game metrics determined from the video game play session.

    GAMING CONTENT RECOMMENDATION FOR A VIDEO GAME

    公开(公告)号:US20210346808A1

    公开(公告)日:2021-11-11

    申请号:US16871586

    申请日:2020-05-11

    Abstract: Systems and methods for providing game content recommendation of a multiplayer online battle arena (MOBA) video game based on player's performance are disclosed. Prior to an actual MOBA video game play, a player data stored for each player of each team is analyzed to evaluate a video game session content. The player data is associated with the video game play session and stored settings for the MOBA video game. The player data includes attack metrics, defense metrics, and damage metrics to determine to evaluate the video game play session content. During the actual MOBA video game play, an in-game performance of each player of each team in the video game play session content is analyzed to recommend the video game plays session. Such analysis is based on game map of the video game play session and in game metrics determined from the video game play session.

    GAMING CONTENT RECOMMENDATION FOR A VIDEO GAME

    公开(公告)号:US20210346807A1

    公开(公告)日:2021-11-11

    申请号:US16871582

    申请日:2020-05-11

    Abstract: Systems and methods for providing game content recommendation of a video game based on player's performance are disclosed. Prior to an actual video game play, a performance metric is calculated based on a stored player data and video settings of the game. The performance metric is evaluated to further calculate a performance metric of video game play session content indicative of aspects of actual video game play. A metrics data of each player in determined from the video game play session content. The player metrics data is analyzed relative to the stored player data and the video settings of the game to determine whether to recommend the video game play session content.

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