Video Game Help Session Controls for Restricting Harmful Inputs

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Solution Overview

Problem

Existing video game help methods, such as online forums and videos, are inefficient and can disrupt the gaming experience, while direct helper control can lead to negative consequences due to unpredictable helper actions.

Innovation Solution

Implementing a system that allows controlled help sessions with dynamic restrictions based on game state and helper behavior, using machine learning models to determine appropriate control inputs and prevent undesirable actions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If direct helper control is allowed during help sessions, then effective assistance can be provided, but negative consequences occur due to unpredictable helper actions

Engineering Contradiction:
Improveease of providing helpVSAvoidreliability of helper actions
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system applies different levels of control restriction to different game functions based on their potential harm. Sensitive functions like inventory management, settings, and character customization are restricted, while core gameplay functions remain accessible. This localized quality control allows helpers to provide effective assistance in safe areas while preventing harmful actions in sensitive areas.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system introduces an intermediary control layer between the helper's input commands and the game execution. This intermediary monitors and filters control inputs, blocking potentially harmful actions while allowing beneficial ones. The intermediary acts as a mediator that enables help provision while preventing negative consequences.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If control inputs are restricted during help sessions, then harmful actions are prevented, but the effectiveness of assistance is reduced

Engineering Contradiction:
Improvereliability of preventing harmful actionsVSAvoidproductivity of help sessions
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The control restriction system is dynamic rather than static. It adapts restrictions based on the current game state, the helper's credentials, and the specific context of the help session. The system can adjust the level of restriction in real-time, tightening constraints when risks are detected and loosening them when safe conditions exist, thereby maintaining both reliability and productivity.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes parameters of control input handling based on game state and helper characteristics. Different helpers may receive different levels of access, and restrictions are modified based on the current game situation. This parameter-based approach allows the system to maintain reliability by enforcing necessary restrictions while preserving productivity by allowing effective assistance where appropriate.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If comprehensive monitoring of helper actions is implemented, then harmful actions are detected, but system complexity increases

Engineering Contradiction:
Improvereliability of detecting harmful actionsVSAvoidcomplexity of control system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts and isolates the complex monitoring and decision-making logic into a separate module or service. Rather than embedding complex monitoring throughout the entire game system, the extraction principle places the intelligence in a dedicated component that interfaces between the helper input and game execution. This reduces the complexity burden on the main game system while maintaining comprehensive monitoring capabilities.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system replaces manual, rule-based control restriction with an intelligent system that uses machine learning models and automated decision-making. This substitution of mechanical/manual monitoring with smart automated systems reduces the need for complex manual configuration and monitoring while improving the reliability of harmful action detection through pattern recognition and predictive analytics.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20260042019A1Restricting video game help sessions
Publication Date: 2026.02.12 MICROSOFT TECHNOLOGY LICENSING LLC
  • US20260042019A1 patent drawing
  • US20260042019A1 patent drawing
  • US20260042019A1 patent drawing

AI summary

The disclosed concepts relate to managing help sessions in video games. A system or method receives control inputs from a helper during a help session in a video game. The system or method obtains a game state of the video game and determines whether to provide the control inputs to the video game based on the game state. In at least one instance, the system or method at least temporarily prevents the video game from receiving a particular control input.