Adaptive Game Control Reconfiguration via ML Detection
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Solution Overview
Problem
Players often encounter frustration due to accidentally activating the wrong control in video games, especially when transitioning from one game to another with different control configurations, leading to cumbersome and time-consuming manual reconfiguration processes.
Innovation Solution
The implementation of a machine learning-based system that automatically detects when a user is likely to be using the wrong control and suggests a reconfiguration, using labelled training data to learn the correct control mappings and providing users with a simple option to accept or reject the suggested changes during gameplay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual reconfiguration process is used to change game controls, then users can customize controls according to their preferences, but the process is cumbersome and time consuming
Solution Approach 1:
The system automatically detects when a player is likely to activate the wrong control and performs reconfiguration without manual intervention. The processor monitors player actions, compares them with expected controls, and autonomously initiates reconfiguration when mismatches are detected, eliminating the need for players to manually navigate menus.
Solution Approach 2:
The system performs reconfiguration in advance by detecting control mismatches during gameplay and offering suggestions before the player encounters significant frustration. The system proactively identifies when reconfiguration would be beneficial and presents options to the player, rather than waiting for explicit manual reconfiguration requests.
2Adaptability or versatility
If manual reconfiguration process is used to change game controls, then users can customize controls according to their preferences, but the process involves pausing or delaying gameplay and navigating through menus
Solution Approach 1:
The system automatically detects when a player is likely to activate the wrong control and performs reconfiguration without manual intervention. The processor monitors player actions, compares them with expected controls, and autonomously initiates reconfiguration when mismatches are detected, eliminating the need for players to manually navigate menus.
Solution Approach 2:
The system provides feedback to players about detected control mismatches and suggests specific reconfigurations. A user interface presents the detected issues and proposed solutions to players, allowing them to review and accept or reject the suggestions, ensuring informed customization decisions.
3Stability of the object's composition
If fixed controls are used in video games, then control configuration is simple and consistent, but players may accidentally activate the wrong control when transitioning from one game to another
Solution Approach 1:
The system dynamically adjusts control configurations based on detected player behavior patterns. While maintaining stable default controls for normal operation, the system enables adaptive reconfiguration when mismatches are detected, allowing controls to evolve from fixed to flexible based on runtime observations of player actions.
Solution Approach 2:
The system provides feedback to players about detected control mismatches and suggests specific reconfigurations. A user interface presents the detected issues and proposed solutions to players, allowing them to review and accept or reject the suggestions, ensuring informed customization decisions.
Data Source
AI summary
A data processing apparatus comprising circuitry configured to: obtain video game data from a video game application indicating an in-game situation; obtain data indicating a predicted in-game action of a first user in response to the in-game situation, the data indicating the predicted in-game action of the first user being based on past video game data and past in-game actions of one or more second users; determine, based on a recorded input from the first user, whether or not the predicted in-game action is instructed by the first user; and based on the determination, perform a reconfiguration process for reconfiguring a required input for the first user for instructing the predicted in-game action.