Video Game Content Customization for Player Time Constraints
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Solution Overview
Problem
Players are hesitant to invest time in video games due to time constraints, leading to incomplete gameplay or disengagement, and there is a need for systems that customize the gaming experience based on player-specific usability constraints and interests.
Innovation Solution
A method and system for generating a video game tailored to a player-defined time period, selecting and editing content units and gear items based on predefined criteria to fit within the specified time, and providing options for completing content units within the allocated time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a full video game experience is provided, then player engagement and completeness are improved, but time required increases substantially
Solution Approach 1:
The patent segments the full video game into discrete content units (levels, missions, scenes) that can be individually selected and played. This allows the game to be divided into manageable portions that fit within player-defined time constraints while maintaining gameplay completeness for the selected segments.
Solution Approach 2:
The system dynamically generates customized game versions by selecting and arranging content units based on player preferences, skill level, and available time. The game structure is not fixed but adapts in real-time to create an optimized gameplay experience that maximizes engagement within the allocated time period.
2Reliability
If video game content is customized to player interests, then player engagement is improved, but system complexity increases
Solution Approach 1:
The system employs automated algorithms and AI to analyze player data, preferences, and performance metrics, then autonomously selects and configures appropriate content units. This self-service approach to customization reduces the need for complex manual configuration while maintaining high engagement through personalized content selection.
Solution Approach 2:
The system continuously monitors player performance, preferences, and engagement metrics, using this feedback to dynamically adjust content selection and difficulty levels. This feedback loop enables the system to optimize customization automatically, improving engagement while managing complexity through data-driven decisions rather than complex rule-based systems.
3Productivity
If content units are selected and edited to fit time constraints, then time efficiency is improved, but gameplay quality may deteriorate
Solution Approach 1:
The system changes key parameters of content units including difficulty level, length, and complexity to optimize them for the available time period. By adjusting these parameters, the system maintains gameplay quality within shortened time frames, ensuring that condensed content remains engaging and appropriately challenging rather than simply truncated.
Solution Approach 2:
The system performs preliminary selection and optimization of content units before the player begins gameplay, pre-configuring the game to fit time constraints while maintaining quality. This advance preparation ensures that the customized game version is ready to deliver high-quality gameplay experience within the allocated time without requiring compromises during actual play.
Data Source
AI summary
Systems and methods for customizing a video game to a player defined time period include content units of the video game that are selected based on at least one of multiple pre-defined criteria. Content units are then edited to fit into the player defined time period. Game gear required for playing the selected content units is determined. The edited content units and the selected game gear are provided to the player to play within the player defined time period.