Automated Control Unit for Gaming Interruptions
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Solution Overview
Problem
Game applications on information processing devices require complex user operations, leading to delays and interruptions, especially when performing tasks like taking screenshots or navigating multiple UIs, which hinder the gaming experience.
Innovation Solution
An information processing device and system that utilize learning data to determine optimal control processing based on the application's state and device state, enabling automatic execution of tasks such as screenshot capture, UI management, and function disabling, thereby reducing user intervention and improving gameplay continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If complex user operations are required for game applications, then functionality and control precision are improved, but operation time and user response delay increase
Solution Approach 1:
The system pre-loads and pre-processes control operations and UI elements before they are needed during gameplay. By anticipating user needs and preparing operations in advance, the system eliminates delays when users need to perform actions, thus resolving the contradiction between comprehensive functionality and rapid response time.
Solution Approach 2:
The system automatically manages UI elements, control operations, and game states without requiring continuous user intervention. The automated control unit performs operations autonomously based on learned patterns, reducing the complexity of user operations while maintaining precise control, thereby resolving the contradiction between ease of operation and operational precision.
2Productivity
If multiple UI operations and task interruptions are handled manually, then control precision is improved, but productivity and gameplay continuity deteriorate
Solution Approach 1:
The automated control unit independently manages UI operations, screenshot capture, and task switching without user intervention. The system serves itself by automatically handling interruptions and maintaining game state, thus improving productivity and gameplay continuity while reducing the operational burden on users.
Solution Approach 2:
The system maintains continuous game playback and control operations without interruption by automatically managing UI interactions and task transitions. The useful action of gameplay continues uninterrupted while the system handles necessary operations in the background, resolving the contradiction between productivity and ease of operation.
3Productivity
If learning data processing and automated control are implemented, then productivity and response time are improved, but device complexity increases
Solution Approach 1:
The system introduces an automated control unit as an intermediary between the user and the game application. This intermediary layer handles complex learning data processing and control operations, shielding the user from complexity while improving productivity. The intermediary manages the contradiction by absorbing the complexity burden and providing simplified interfaces.
Solution Approach 2:
The automated control unit performs multiple functions including learning data processing, UI management, screenshot capture, and game control within a single integrated system. By consolidating these functions into one multi-functional component, the system improves productivity without proportionally increasing overall device complexity, as the same component handles diverse tasks.
Data Source
AI summary
Provided are a device and a method for determining optimal control according to a processing state of an application being executed in an information processing device and a device state based on learning data and executing the determined processing. A control unit that controls the information processing device uses learning data to determine optimal control processing according to a processing state of an application being executed and a device state, and executes the determined processing. The learning data is learning data for each application, and the control unit determines optimal control by referring to the learning data of an application that is the same as or similar to the application being executed in the information processing device, and executes the determined optimal control processing. For example, screenshots and search processing are automatically executed.


