A computer readable recording medium storing a program that is executed by a processor. The program causes the processor to acquire touch position information on a touch panel, identify a first position based on the touch position information, if the touch position is in a first input region for receiving an input instruction in a first operation direction in a touch period during which continuous touching of the touch panel is carried out, and the touch position satisfies a first condition, identify a second position based on the touch position information, if the touch position is in a second input region for receiving an input of an instruction in a second operation direction in the touch period, and the touch position satisfies a second condition, and determine positions of the first input region and the second input region, based on the first position and the second position.

Systems and methods for enhanced training of machine learning systems based on automatically generated visually realistic gameplay. An example method includes obtaining electronic game data that includes rendered images and associated annotation information, the annotation information identifying features included in the rendered images to be learned, and the electronic game data being generated by a video game associated with a particular sport. Machine learning models are trained based on the obtained electronic game data, with training including causing the machine learning models to output annotation information based on associated input of a rendered image. Real-world gameplay data is obtained, with the real-world gameplay data being images of real-world gameplay of the particular sport. The obtained real-world gameplay data is analyzed based on the trained machine learning models. Analyzing includes extracting features from the real-world gameplay data using the machine learning models.

An aspect of the disclosure provides a method and an apparatus for a control interface in a virtual environment. For example, the method includes providing a graphical user interface (GUI) with a virtual environment picture of the virtual environment. The GUI includes a first graphical element and a second graphical element. The first graphical element is associated with a first control for a first virtual object and the second graphical element is associated with a second control for the first virtual object. The method further includes receiving a merge setting operation for the first graphical element and the second graphical element, and merging the first control and the second control into a third graphical element in response to the merge setting operation.

Provided is a method and an apparatus for targeting an object in a game. The method of targeting an object in a game includes: setting a center point of a first targeting area based on a first input from a user; displaying the first targeting area surrounded by a closed curve around the center point on a screen of a user terminal; displaying a list including at least one object located in the first targeting area on the screen; and moving the first targeting area based on a second input by the user received after the first input.

Systems and methods for facilitating virtual operation of a virtual vehicle within a virtual environment are disclosed. According to aspects, a computing device may access a data model indicative of real-life operation of a real-life vehicle by a real-life operator and, based on the data model, generate a set of virtual vehicle movements that are reflective of a performance of the real-life operation of the real-life vehicle by the real-life operator. The computing device may display, in a user interface, the virtual vehicle undertaking the set of virtual vehicle movements such that the real-life operator may review the virtual movements and potentially be motivated to improve his/her real-life vehicle operation.

A video game console, a video game system, and a computer-implemented method are described. Generally, a video game and video game assistance are adapted to a player. For example, a narrative of the video game is personalized to an experience level of the player. Similarly, assistance in interacting with a particular context of the video game is also personalized. The personalization learns from historical interactions of players with the video game and, optionally, other video games. In an example, a deep learning neural network is implemented to generate knowledge from the historical interactions. The personalization is set according to the knowledge.

The present disclosure describes techniques for training a model and improving game performance using the model. The disclosed techniques comprise obtaining a plurality of sets of game data from a plurality of terminal devices, the plurality of sets of game data being stored in a plurality of segment replay buffers; sampling the plurality of sets of game data based on a predetermined priority and obtaining a sampling result; inputting the sampling result into a loss function and training a model by using a calculation result of the loss function; and determining a quality (Q) value of each action performed by a virtual object in a game run on a terminal device among the plurality of terminal devices by using the model.

A timer period is set on the basis of a user input, and counting processing of counting a time is executed during the timer period. During the timer period, game processing including control of a virtual object is executed. A count image indicating a state of the counting and a game image by the game processing are outputted to a display unit. Here, during the game processing, the control of the virtual object is switched between manual control based on a user input and automatic control that is not based on the user input.

A timer period is set on the basis of a user input, and counting processing of counting a time is executed during the timer period. During the timer period, game processing including control of a virtual object is executed. A count image indicating a state of the counting and a game image by the game processing are outputted to a display unit. Here, during the game processing, the control of the virtual object is switched between manual control based on a user input and automatic control that is not based on the user input.

A character in a game world of a computer simulation is identified as moving toward a sky box in the simulation. The computer simulation does not permit simulation characters to enter the sky box. However, techniques are described for modifying an image or audio or both of the sky box responsive to identifying the character is moving toward the sky box.