Cross-Application Game Assistance via Machine Learning
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Solution Overview
Problem
Conventional technologies do not adequately improve gameplay convenience for users across different applications, especially since auto-play functions are limited to specific game applications and do not provide uniform assistance.
Innovation Solution
An information processing device equipped with a learning unit that utilizes machine learning to understand user actions across various applications, and an assistance unit that provides operation assistance processing to enhance user input, thereby improving gameplay accuracy and convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If auto-play function is implemented in specific game applications, then gameplay convenience is improved for those applications, but the solution cannot be applied across different applications and does not provide uniform assistance
Solution Approach 1:
The patent creates a universal operation assistance system that works across multiple applications by extracting common patterns from user operations. The learning unit captures operation sequences and their outcomes across different applications, and the assistance unit applies these learned patterns universally to provide guidance regardless of which application is being used, thus achieving cross-application compatibility while maintaining gameplay convenience
2Ease of operation
If conventional auto-play technology is used, then assistance is provided for specific applications, but it does not assist users in other applications lacking auto-play functions
Solution Approach 1:
The system establishes a universal operation assistance mechanism that transcends application boundaries. The learning unit collects operation data across multiple applications, identifies common patterns, and the assistance unit provides guidance applicable to any application, ensuring that operation assistance is not limited to specific applications with built-in auto-play functions
Solution Approach 2:
The patent introduces an intermediary operation assistance system that sits between the user and various applications. This intermediary layer learns from user operations across different applications and provides standardized assistance, acting as a mediator that enables operation support for applications that originally lacked such functionality
Data Source
AI summary
An information processing device (10) includes a learning unit (16b) that learns an action of a user on a game application (corresponding to an example of an “application”) by machine learning, and a gameplay assistance unit (16c) (corresponding to an example of an “assistance unit”) that executes, across one or more of the game applications, gameplay assistance processing (corresponding to an example of “operation assistance processing”) of assisting an input by the user on the game application by using a learning result of the learning unit (16b).