Disclosed are a gaming method and system using skill succession in a sport game. The gaming method may include performing a promotion scenario in which at least one trainer character participates when a promotion mode for a player character is activated in a sports game, configuring a skill set in the at least one trainer character to be handed over to the player character based on an establishment of a relationship between the player character and the at least one trainer character according to the progress of the promotion scenario, and processing the use of the succeeded skill by the player character in a process of performing a sports game instance in which the player character participates.

According to an aspect of this specification, there is described a computer implemented method comprising: receiving input data, the input data comprising data relating to a user of a computer game; generating, based on the input data, one or more candidate challenges for the computer game; determining, using a machine-learned model, whether each of the one or more of the candidate challenges satisfies a threshold condition, wherein the threshold condition is based on a target challenge difficultly; in response to a positive determination, outputting the one or more candidate challenges that satisfy the threshold condition for use in the computer game by the user.

In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: if historical biometric data associated with a user is available is not available, collect the historical biometric data; if the historical biometric data is available, retrieve the historical biometric data; execute an application; display at least a portion of a graphic; determine that a gaze of the user includes the at least the portion of the graphic; determine a stress index threshold associated with the user; determine a stress index associated with the user, accounting for the at least the portion of the graphic exceeding the brightness threshold; determine that the stress index has reached or exceeded the stress index threshold; provide a notification indicating that the first stress index has reached or exceeded the stress index threshold; and reduce one or more stress inducing attributes associated with the application.

A processor is capable of assessing plural driving assessment items with mutually different details on the basis of driving operations of a vehicle. A game is displayed at a display part of an operation terminal by execution of a game application. The processor assigns modification factors generated in accordance with assessment results of the driving assessment items to a character in the game.

A seat system includes a seat including a sensor configured to acquire information for detection of a motion of an occupant seated on a seat body, a terminal device configured to acquire the information from the sensor, and a server capable of communicating with the terminal device. The terminal device executes a game using the sensor based on the information, and acquires an execution result corresponding to the occupant for a game played by the occupant. The server generates integrated data by integrating execution results of the game acquired from another terminal device, and computes a reference value for execution results of the game based on the integrated data. The terminal device or the server assigns a difficulty level of the game for the terminal device based on the execution result corresponding to the occupant and the reference value. The terminal device reflects the difficulty level on the game.

A game management system generates a multidimensional parametric player model representative of player behavior by one or more players in a computer game. The parametric player model populated is used in the identification of groups or clusters of players, and/or in at least partly automated configuration of custom game content for behavior consistent with the parametric player model. A single parametric player model is defines a single set of parametric values corresponding to multiple predefined gameplay parameters, and can be used to model the behavior of a single respective player or to model the behavior of multiple players (e.g., based on cumulative historical gameplay data for the relevant players), providing a representative player model for those players. The player model is ingested by a content generator configured to generate game content customized to the behavior represented by the player model.

This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated. The healed training example comprises: (i) the state of the instance of the video game environment, and (ii) healed scored action data indicative that the action performed by the video game entity was suboptimal. The machine-learning model is updated based on the healed training example.

A game includes player characters in a virtual space. The game is progressed in accordance with game progress information, which is useable for generating a game screen. The game screen is configured to be displayed on a display device. An instruction for registering a player character, which is manipulated in the game by a first player, is received, and the player character of the first player is registered as a copy non-player character. The copy non-player character is configured to be manipulated in the game by a second player. The game progress information is updated, and data of the player character of the first player is updated in accordance with a manipulation of the copy non-player character by the second player during a period in which the first player is in an off-line state.

A system, computer-readable storage medium storing at least one program, and a computer-implemented method for generating game configurations are presented. For example, a system may receive a game configuration request message from a client device being operated by a player playing a virtual game. The game configuration request message may be sent, for example, in response to the player initiating a new game of the virtual game. The system may then select a game configuration based at least in part on historical performance data associated with the selected game configuration. The historical performance data may accumulate performance data from a group of players that previously played the virtual game using the selected game configuration. The system then communicates the selected game configuration to the client device. The player may play the virtual game using the selected game configuration as the initial game configuration for the virtual game.

Using voice recognition, a user can interact with a companion application to control a video game from a mobile device. Advantageously, the user can interact with the companion application when the video game is unavailable because, for example, of the user's location. Moreover, machine learning may be used to facilitate generating voice responses to user utterances that are predicted to improve or maintain a user's level of engagement with the companion application, or its corresponding video game.