Challenge Generation System for Video Game Engagement
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Solution Overview
Problem
Videogames face a challenge in maintaining user engagement as players may complete single-player modes and find multiplayer experiences repetitive, leading to a need for new activities without significant developer input, which is costly.
Innovation Solution
A system and method for generating random challenges using player telemetry data to identify rare player behaviors, allowing for the creation of achievable yet novel challenges that extend gameplay without additional developer input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers produce more single or multiplayer content, then user engagement is improved, but production cost increases
Solution Approach 1:
The system enables users to generate their own challenges by recording and analyzing their gameplay telemetry data. The challenge generation process is automated through machine learning algorithms that identify rare player behaviors and convert them into challenges, eliminating the need for developer intervention in content creation while maintaining high user engagement
Solution Approach 2:
The system dynamically adjusts challenge parameters based on analyzed telemetry data from multiple players. By identifying rare behavior patterns and modifying challenge conditions accordingly, the system generates varied challenges automatically, providing continuous engagement without requiring developers to create new content manually
2Quantity of substance
If paid-for content is provided, then production cost is recovered, but user acceptance decreases
Solution Approach 1:
Users automatically generate challenges from their own gameplay data without needing to purchase additional content. The system leverages existing telemetry data to create unlimited challenges, providing continuous free content that maintains user acceptance while eliminating the need for paid expansions
3Adaptability or versatility
If random challenges are generated, then content variety is improved, but achievability may be compromised
Solution Approach 1:
The system uses feedback from multiple players' telemetry data to validate and adjust generated challenges. By analyzing whether rare behaviors actually lead to success in the game, the system ensures that generated challenges are both varied and achievable, maintaining reliability while providing content variety
Solution Approach 2:
The system performs preliminary analysis of telemetry data to identify behaviors that have historically led to success before generating challenges. This pre-validation ensures that generated challenges are based on proven successful strategies, guaranteeing achievability while maintaining variety through the rarity of the identified behaviors
Data Source
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AI summary
A method of challenge generation comprises the steps of collecting gameplay telemetry data comprising values for one or more game parameters, from a plurality of users, selecting an in-game scenario for which telemetry data has been collected, for one or more selected game parameters, identify a value that does not prevent success in the in-game scenario, and generate a user challenge to succeed in the in-game scenario whilst generating a respective value for the one or more selected game parameters, the or each respective value having a respective selected relationship to the identified values of the one or more selected game parameters.