A63F13/79

CONTROL PROGRAM, CONTROL METHOD, AND COMPUTER
20180001196 · 2018-01-04 · ·

A control program causing a computer to execute a competition between two players, based on a correction value obtained by correcting a reference value of at least one player of the two players, the two players respectively belonging to two groups, to store a point which may be determined based on the reference value of at least the one player, in a storage unit in association with a group to which the winning player belongs, and to determine a result of the competition between groups, based on the summation of points which may be stored in the storage unit in association with each group. In a case where a predetermined action is performed on the predetermined game content of the group to which at least the one player belongs, control may be performed to change the correction value of the player and not to change the reference value.

MANAGING PARTICIPANTS IN AN ONLINE SESSION
20180013802 · 2018-01-11 ·

The present invention relates to an application that is configured to be operated in a multi-participant environment on a computer network. The application manages participants in an online session of a multi-user application so that if one of the participants exits the session, the session can continue without interruption. The application initiates an online session of the multi-user application, wherein the online session includes two or more participants comprised of network computers that are communicatively linked to a computer network. If the application detects that a first participant has disconnected from the online session, wherein the first participant is responsible for managing certain managerial functionality associated with the running of the multi-user application, then the application broadcasts a notification to existing participants of the online session over the communication network, thereby notifying the existing participants that the first participant has disconnected from the online session. The initiating application then re-assigns the functionality associated with the first participant to an existing participant of the online session. The participants can be communicating in a peer-to-peer arrangement or can be performing server duties in a client-server arrangement.

NFT framework for transferring and using digital assets between game platforms

Systems and methods are disclosed for determining that a first end-user entity has performed a task within a computer simulation for which a non-fungible token (NFT) is to be provided, where the NFT is associated with a digital asset. Responsive to the determination, the NFT is provided to the first end-user entity so that the digital asset may be used, via the NFT, across plural different computer simulations and/or across plural different computer simulation platforms. Ownership of the NFT may also be subsequently transferred to other end-user entities for their own use across different simulations and/or platforms.

NFT framework for transferring and using digital assets between game platforms

Systems and methods are disclosed for determining that a first end-user entity has performed a task within a computer simulation for which a non-fungible token (NFT) is to be provided, where the NFT is associated with a digital asset. Responsive to the determination, the NFT is provided to the first end-user entity so that the digital asset may be used, via the NFT, across plural different computer simulations and/or across plural different computer simulation platforms. Ownership of the NFT may also be subsequently transferred to other end-user entities for their own use across different simulations and/or platforms.

Cross-platform consumption of in-game objects

Computer implemented systems and methods for cross-platform consumption of in-game objects are provided herein. An exemplary method includes receiving by a data platform from at least one first device game object data discovered by a user while playing a video game associated with the data platform; attributing by the data platform a cross-platform identifier to the game object data; storing by the data platform metadata associated with the game object data to a database associated with the data platform, and receiving by the data platform from a second device associated with the data platform a request for access to the game object data and the metadata. The request may include the cross-platform identifier. The exemplary method further includes authenticating by the data platform the request based on the cross-platform identifier; and based on the authentication selectively providing by the data platform access to game object data and the metadata.

Systems and methods for fractional ownership of user-generated content within an online gaming platform
11707685 · 2023-07-25 · ·

Systems and methods for dispersing gains derived from ownership of user-generated content among users of a gaming platform are disclosed. Exemplary implementations may: execute an instance of a game and implement in-game actions in the instance of the game as requested by the users; assign ownership of a first item of user-generated content to a group of users; record the ownership of the first item of user-generated content by the group of users; determine a first quantity of gains that have been gained within the gaming platform through use of the first item of user-generated content; and disperse at least a portion of the first quantity of gains to individual ones of the group of users.

Systems and methods for fractional ownership of user-generated content within an online gaming platform
11707685 · 2023-07-25 · ·

Systems and methods for dispersing gains derived from ownership of user-generated content among users of a gaming platform are disclosed. Exemplary implementations may: execute an instance of a game and implement in-game actions in the instance of the game as requested by the users; assign ownership of a first item of user-generated content to a group of users; record the ownership of the first item of user-generated content by the group of users; determine a first quantity of gains that have been gained within the gaming platform through use of the first item of user-generated content; and disperse at least a portion of the first quantity of gains to individual ones of the group of users.

Graphical user interface and parametric equalizer in gaming systems

A system that incorporates the subject disclosure may include, for example, a gaming system that cooperates with a graphical user interface to enable user modification and enhancement of one or more audio streams associated with the gaming system. In embodiments, the audio streams may include a game audio stream, a chat audio stream of conversation among players of a video game, and a microphone audio stream of a player of the video game. Additional embodiments are disclosed.

Graphical user interface and parametric equalizer in gaming systems

A system that incorporates the subject disclosure may include, for example, a gaming system that cooperates with a graphical user interface to enable user modification and enhancement of one or more audio streams associated with the gaming system. In embodiments, the audio streams may include a game audio stream, a chat audio stream of conversation among players of a video game, and a microphone audio stream of a player of the video game. Additional embodiments are disclosed.

Message output apparatus, learning apparatus, message output method, learning method, and program

Provided are a message output apparatus, a learning apparatus, a message output method, a learning method, and a program that allow a user to feel as if communication is being performed. An input section inputs, to a learned machine learning model that has been learned using learning data that includes learning input data including a plurality of consecutive frames of learning images and teaching data including a message associated with the learning input data, target input data including at least a plurality of consecutive frames of target images. A message identification section identifies a message according to output produced when the target input data is input to the machine learning model. A message output section outputs the identified message.