Sony Interactive Entertainment Inc.

Katrine Chow

Steven Osman

Saket Kumar

Olga Rudi

Xavier Menendez-Pidal

Yuichiro Nakamura

Jennifer Sheldon

Miho Michigami

A method for verifying behavior associated with play of a game is described. The method includes receiving a characterization of a first player from a user account as being abusive and accessing a recording of the behavior of the first player stored for a pre-determined time period in response to receiving the characterization of the first player. The method further includes analyzing, by an artificial intelligence model, the behavior of the first player to determine whether the behavior is abusive. The operation of analyzing whether the behavior of the first player is abusive is performed to determine whether the characterization of the first player is accurate.

Systems and methods for verifying activity associated with a play of a game

Methods and systems are provided for generating a video stream for followers of an influencer during a session. The method includes capturing video images of an environment of the influencer, wherein the environment includes the influencer viewing an online content channel. The method includes detecting surface parameters in the environment and processing the surface parameters to identify three-dimensional features associated with the surface parameter. The method includes identifying a follower that is viewing the influencer. The method includes generating an overlay image for at least one of the surface parameters, the overlay image is configured for dynamic contouring to the identified three-dimensional features during the session. The overlay image is selected based on a profile of the follower so that the video stream received by the follower when viewing the influencer is customized based on the profile of the follower.

Influencer stream customization for follower viewers

Methods and systems for improving engagement metrics of a spectator include identifying a group of spectators watching game play of a video game and generating an aggregate group profile for the group. Engagement metrics for the group are analyzed to identify engagement level of the group toward the game play of the player. One or more suggestions are provided to adjust game play of the video game so as to improve engagement level of the group toward the game play of the video game.

Methods and systems for improving spectator engagement in a video game

Methods and systems are provided for recommending content channels for an influencer. The method includes identifying a session of the influencer. The session includes a current content channel being viewed by the influencer and made available for streaming to one or more followers of the influencer. The current content channel is one of a plurality of content channels made available for viewing by the influencer. The method includes accessing, during the session, content data from the plurality of content channels. The content data is associated with gameplay of one or more players engaged in gameplay. The method includes accessing profile data of the followers of the influencer. The profile data includes content preferences of said followers. The method includes predicting engagement metrics for said followers of the influencer in relation to said plurality of content channels. The engagement metrics are updated in substantial real time based on change occurring with the content data in plurality of content channels. The method includes generating an influencer interface for presenting said predicted engagement metrics. The engagement metrics are configured to provide indicators of when engagement metrics for the current content channel indicate a predicted decrease relative to a predicted increase when switching to a different content channel from among the plurality of content channels available during the session.

Influencer tools for stream curation based on follower information

A method is provided, including the following operations: analyzing gameplay data and spectator data from previous sessions of a video game, wherein the analyzing is configured to correlate a spectator preference to a gameplay condition of the video game; using the correlated spectator preference to generate an in-game recommendation for the gameplay condition; identifying the gameplay condition occurring in a current session of the video game; responsive to identifying the gameplay condition occurring in the current session, then presenting the in-game recommendations to a player of the current session of the video game.

Player feedback to increase spectatorship in a video game

A method for displaying a video game to spectators includes receiving votes from spectators to remove a player from a video game. The method also includes determining whether the number of votes received to remove the player from the video game meets a threshold level required to trigger removal of the player from the video game. If the number of votes received to remove the player from the video game meets the threshold level required to trigger removal of the player from the video game, the method includes generating a command configured to cause the player to be removed from the video game. The method also can include animating the removal of the player and providing visual cues to other players or spectators as to why the player was removed from the video game.

Spectators vote to bench players in a video game

Methods and systems for determining behavior of a player playing a video game includes assigning a behavioral value point for the player and for each game item in a gaming scenario of the video game. An action performed by the player and directed toward a specific game item is detected in the gaming scenario. Adjustment value points defined for the action and for the effect of the action on the different game items are identified. A change in the behavioral value points for the player and for each game item affected by the action of the player is dynamically computed by applying adjustment value points defined for the action and for the effect of the action to the corresponding behavioral value points assigned to the player and for each game item affected by the action. The change in the behavioral value points of the player and of each game item affected by the action are examined to establish if the player is exhibiting good behavior or bad behavior.

Growing community of inventors

San Mateo, CA, United States of America

Katrine Chow