Dynamic Game Challenge Generation via Player Profile Segmentation
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Solution Overview
Problem
Conventional game systems rely on static quests that are manually created and lack personalization, leading to repetitive and unengaging experiences for players, as they do not adapt to individual player behaviors or progress.
Innovation Solution
A method and system for generating tailored game challenges by identifying and selecting game objects based on player profile data, calculating selection factors, and adjusting difficulty levels to create unique and dynamic quests that align with player interests and abilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static quests are manually created and assigned according to predefined sequences, then game content can be controlled and structured, but player engagement decreases due to repetition and lack of personalization
Solution Approach 1:
The patent transforms static quests into dynamic, adaptive challenges that automatically adjust based on player behavior. The system continuously monitors player actions and modifies quest parameters in real-time, making the game content responsive to individual player patterns rather than following fixed sequences.
Solution Approach 2:
The system enables quests to self-generate and self-adjust based on player data without requiring manual intervention. The automated quest generation engine uses player profile information to create personalized challenges, eliminating the need for developers to manually craft numerous static quests for different player types.
2Productivity
If static quests are assigned to all players uniformly, then development effort is reduced, but player engagement decreases due to lack of individualization
Solution Approach 1:
The patent applies local quality by tailoring quest characteristics to specific player segments. Instead of uniform quest assignment, the system analyzes individual player behaviors and assigns quests with properties matched to each player's preferences, skill level, and play style, creating locally optimized experiences.
Solution Approach 2:
The system dynamically changes quest parameters such as difficulty level, object selection, and challenge type based on player profile data. This allows the same base quest template to generate varied personalized experiences by adjusting parameters according to individual player characteristics.
3Manufacturing precision
If manual quest creation is used, then quest quality can be controlled, but time consumption increases for creating and maintaining quest content
Solution Approach 1:
The patent uses quest templates as reusable copies that can be automatically instantiated and customized. Instead of creating unique quests from scratch for each player, the system maintains a library of template quests that are copied and adapted based on player data, significantly reducing creation time while maintaining quality through standardized design patterns.
Solution Approach 2:
The system performs preliminary action by pre-defining quest templates with various parameters and configurations. These templates are prepared in advance with quality control built-in, allowing rapid generation of personalized quests without manual creation for each instance, thus reducing time consumption while preserving quality standards.
Data Source
AI summary
A system, computer-readable storage medium storing at least one program, and a computer-implemented method for generating game features are presented. For example, a first user may be segmented to a user segment based on a property of a game profile of the first user. The property of the game profile may match a threshold of the user segment. The user segment may then be assigned a difficulty level. The difficulty level may be usable to set a configuration value for the feature of the game. The feature of the game is then surfaced to the first user and the configuration value for the feature of the game may be updated with the difficulty level assigned to the user segment.