Gaming System Preference Capture for Personalized Game Settings
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Solution Overview
Problem
Existing gaming systems fail to effectively determine and utilize player preferences for game configurations, leading to suboptimal gaming experiences.
Innovation Solution
A gaming system that includes a processor, display device, and input device to gather player preferences through general and specific questions, creating player game configuration preference data to tailor game settings and suggest or provide games that align with these preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If gaming systems provide standard games without personalized configuration, then device complexity is reduced and ease of operation is improved, but player satisfaction and engagement deteriorate due to lack of personalization
Solution Approach 1:
The system performs preliminary actions by asking players general and specific questions about their preferences before gameplay begins. This preliminary data collection enables the system to pre-configure game settings according to player preferences, resolving the contradiction by preparing personalized configurations in advance without adding complexity during actual play.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring player responses to preference questions and using this information to adjust game configurations. This feedback loop enables dynamic adaptation to player preferences while maintaining operational simplicity through automated configuration adjustments.
2Measurement precision
If gaming systems ask players multiple preference questions, then player game configuration preference data accuracy is improved, but loss of time increases due to additional interaction requirements
Solution Approach 1:
The preference collection process is segmented into two distinct phases: general questions about overall game preferences and specific questions about particular game features. This segmentation allows the system to gather comprehensive preference data in an organized manner, improving measurement precision while managing time through structured interaction.
Solution Approach 2:
The system performs preference data collection as a preliminary action before gameplay begins. By consolidating multiple preference questions into an initial interaction phase, the system captures comprehensive player preferences upfront, reducing the need for ongoing time-consuming adjustments during actual gameplay.
3Measurement precision
If gaming systems collect detailed player preference data, then player game configuration preference data accuracy is improved, but device complexity increases due to additional data processing requirements
Solution Approach 1:
The data collection system is segmented into modular components that handle general questions and specific questions separately. This segmentation allows for organized data processing and storage, improving measurement precision while managing device complexity through structured data handling architecture.
Solution Approach 2:
The system implements self-service by automatically processing and storing player preference data without requiring manual intervention. The automated data collection and processing mechanisms improve measurement precision while minimizing the operational complexity burden on players and system operators.
Data Source
AI summary
Gaming systems and methods configured to determine player game configuration preferences for each of a plurality of players, and to enable the creation, use, and transmittal of player game configuration preference data for one or more games.


