Game Strategy Guide Interface Using MLR Probability Scores

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Solution Overview

Problem

As game complexity increases, players face difficulties in achieving game goals due to lack of effective guidance on character abilities and attributes, leading to frustration and potential abandonment of the game.

Innovation Solution

A method and apparatus providing a game strategy guide interface with adjustable parameters, using a pretrained multiple linear regression (MLR) model to calculate a score indicating the probability of achieving game goals, allowing users to adjust character abilities and attributes to optimize chances of success.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a tutorial mode is provided to guide game players, then accessibility for new players is improved, but the guidance is insufficient for complex game goals and character optimization

Engineering Contradiction:

Improveaccessibility for new playersVSAvoidguidance completeness for complex goals

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system changes parameters by providing adjustable sliders for character attributes (strength, agility, intelligence, etc.) that allow players to modify character stats and immediately see the impact on quest completion probability. This enables players to optimize character builds for specific complex game goals while receiving quantitative feedback on success likelihood.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system implements feedback by calculating and displaying a probability score that indicates the likelihood of successful quest completion based on current character attributes. This feedback loop allows players to adjust their character parameters and observe how changes affect their success probability, providing guidance for optimizing character builds.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If game complexity increases to provide more diverse content, then game engagement is improved, but player frustration increases due to difficulty in achieving game goals

Engineering Contradiction:

Improvegame content diversityVSAvoiddifficulty in achieving game goals

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system performs preliminary action by pre-calculating the probability of quest completion based on character attributes before the player attempts the quest. This allows players to plan and optimize their character builds in advance, adjusting attributes to ensure sufficient success probability before engaging with complex game content.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces the traditional trial-and-error mechanical approach with a computational model that uses multiple linear regression to calculate success probability. This substitution provides players with quantitative guidance instead of relying on repeated failed attempts, reducing frustration while maintaining game complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If character abilities and attributes are made adjustable for optimization, then player control is improved, but the system complexity increases

Engineering Contradiction:

Improveplayer control over characterVSAvoidstrategy guide system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system introduces an intermediary computational layer that automatically calculates the relationship between character attributes and quest success probability using a pre-trained multiple linear regression model. This intermediary handles the complexity of analyzing multiple character parameters and their interactions, while presenting simplified probability scores and adjustment suggestions to players.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system achieves universality by using a single multiple linear regression model that can evaluate multiple different quest types and character attribute combinations simultaneously. The same computational framework handles various game goals (combat quests, exploration quests, crafting quests) by adjusting the underlying probability calculations without requiring separate complex systems for each quest type.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS11497993B2Method and apparatus for providing game strategy guide

Publication Date: 2022.11.15 NETMARBLE

AI summary

A method and apparatus for providing a game strategy guide is provided. The method includes calculating a score associated with an achievement of a game goal based on current state information of a game character of a user, providing a user terminal of the user with a game strategy guide interface including information associated with the calculated score, receiving change information of the current state information from the user terminal, recalculating the score based on the received change information, and transmitting information associated with the recalculated score to the user terminal.