Systems and methods for monitoring gameplay for stopping points and applying a setting preference at a next predicted timing point. The monitored gameplay may be based on object data received from an object server. The supervising control server may predict one or more starting and/or stopping timing points in stopping periods within a gameplay session. The predicting of the one or more starting and/or stopping timing points may be based on a comparison of the gameplay data to historical gameplay data. Then, a setting preference set by a supervisory account may be applied to a next predicted timing point.

This application provides a virtual object dynamic change method performed by a computer device. The method includes: obtaining a target region displayed by a virtual scene on a current interface; determining an environmental element associated with the target region, and an operation to a virtual object displayed in the target region; determining a dynamic change parameter of the virtual object according to the environmental element and the operation; updating the virtual object in the target region according to the dynamic change parameter, to obtain a updated virtual object; and causing a display of the updated virtual object on the current interface.

A method implemented by a processor of a computing device, comprising: receiving an image from a camera; using a machine vision process to recognize the at least one real-world object in the image; displaying on a screen an augmented reality (AR) scene containing the at least one real-world object and a virtual agent; receiving user input; deriving a simplified user intent from the user input; and in response to the user input, animating the virtual agent within the AR scene, the animating being dependent on the simplified user intent. Deriving a simplified user intent from the user input may include converting the user input into a user phrase, determining at least one semantic element in the user phrase, and converting the at least one semantic element into the simplified user intent.

A method for gaming assistance. Information relating to game plays of player for a gaming application is received at a back-end server. A current game context of a first game play of a first player is determined from the information. Historical expert game contexts of expert game plays of experts that have played the gaming application are determined from the information. An assistance query related to the first game play is received. The current game context of the first player is compared to the historical expert game contexts to determine at least one expert having a corresponding historical expert game context that matches the first game context. A first expert is assigned to the first player for obtaining assistance. A communication session is generated between a device of the first expert and a device of the first player to enable the first expert to render assistance to the first player.

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. The System Tuner calculates a player skill level for a player. The System Tuner modifies at least one attribute of a second game level based on the player skill level prior to game play of the player in the second game level. The System Tuner detects game play of the player in the second game level. The System Tuner identifies a difference between a current rate of progression of the player and a reference rate of progression. The System Tuner triggers the modified attribute of the second game according to an extent of the difference between the current rate of progression and the reference rate of progression.

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a System Tuner for customizing a player's experience. The System Tuner calculates a player skill level for a player. The System Tuner modifies at least one attribute of a second game level based on the player skill level prior to game play of the player in the second game level. The System Tuner detects game play of the player in the second game level. The System Tuner identifies a difference between a current rate of progression of the player and a reference rate of progression. The System Tuner triggers the modified attribute of the second game according to an extent of the difference between the current rate of progression and the reference rate of progression.

A biofeedback headset for providing input to and receiving output from an information handling system may include a controller to send and receive audio signals to and from the information handling system and send biofeedback signals to the information handling system; one or more speakers mounted to a wearable head band to provide audio output from the information handling system to a user; and a mouthpiece operatively coupled to the wearable headband including: a microphone to receive audio input from the user; a pressure sensor to detect a breathing rate and amplitude of the user and, with the controller, provide breathing rate and amplitude biofeedback signals to the information handling system; and a gas sensor to detect a composition of air at the mouthpiece as the user respirates and, with the controller, provide air composition biofeedback signals to the information handling system.

A method for assisting game play. The method includes monitoring game play of the user playing a gaming application, wherein the user has a defined task to accomplish, wherein the task is associated with a task type. The method includes determining a task type proficiency rule for the task type based on results of a plurality of players taking on a plurality of tasks having the task type. The method includes determining a player proficiency score for accomplishing the task based on the task type proficiency rule. The method includes determining a user predictive rate of success in accomplishing the task based on the player proficiency score, the task type proficiency rule, and the task. The method includes determining a recommendation for the user based on the user predictive rate of success.

A method for assisting game play. The method includes monitoring game play of the user playing a gaming application, wherein the user has a defined task to accomplish, wherein the task is associated with a task type. The method includes determining a task type proficiency rule for the task type based on results of a plurality of players taking on a plurality of tasks having the task type. The method includes determining a player proficiency score for accomplishing the task based on the task type proficiency rule. The method includes determining a user predictive rate of success in accomplishing the task based on the player proficiency score, the task type proficiency rule, and the task. The method includes determining a recommendation for the user based on the user predictive rate of success.

A method for gaming. The method includes assigning a default game play profile to a user, wherein the default game play profile includes a default game play style that simulates human game play, and wherein the default game play profile is configured to control game play for the user based on the default game play style. The method includes monitoring a plurality of game plays of the user playing a plurality of gaming applications. The method includes generating a user game play profile of the user by adjusting the default game play style based on the plurality of game plays, wherein the user game play profile includes a user game play style customized to the user. The method includes controlling an instance of a first gaming application based on the user game play style of the user game play profile.