Dynamic Paytable Assignment for Game Streaming Personalization
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Solution Overview
Problem
Existing live streaming platforms for gaming lack the ability to differentiate user experiences based on the same game origin, leading to uniform interactions across all client devices, which fails to provide personalized outcomes and engagement.
Innovation Solution
The system employs different evaluation regimes and paytables for each client device, allowing users to employ unique paytables and make individual inputs based on game data, enabling personalized interactions and outcomes for users of the same streamed game.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single uniform evaluation system is used for all client devices in a live streaming gaming environment, then system simplicity and consistency are maintained, but user engagement and personalized experience are reduced
Solution Approach 1:
The evaluation system is segmented by client device, with each device having its own paytable and evaluation regime. The server maintains separate evaluation rules for different client devices, allowing each user to have personalized outcomes based on their specific device characteristics while maintaining overall system architecture simplicity.
Solution Approach 2:
Different client devices are assigned different local evaluation qualities through unique paytables. Each device's evaluation regime is tailored to its specific characteristics, creating localized personalization without requiring complete system redesign. The server applies different evaluation rules to different devices based on their identified characteristics.
2Productivity
If different paytables and evaluation regimes are applied to different client devices, then user engagement and personalized outcomes are enhanced, but system complexity and computational requirements increase
Solution Approach 1:
The server pre-establishes and stores multiple paytables and evaluation regimes before gameplay occurs. These pre-configured evaluation rules are retrieved and applied during live streaming, eliminating the need for complex real-time computations. The system prepares evaluation frameworks in advance based on device identification, then executes them efficiently during actual gaming sessions.
3Adaptability or versatility
If the same game outcome is evaluated differently across multiple client devices, then individual user benefits and engagement are improved, but fairness perception and trust may be compromised
Solution Approach 1:
The system provides transparent feedback to users about their specific paytable and evaluation regime, allowing them to understand how their individual outcomes are determined. This feedback mechanism builds user trust by making the差异化 evaluation process visible and comprehensible, rather than opaque or arbitrary.
Data Source
AI summary
Systems and methods that individually evaluate one or more outcomes resulting from a first user placing one or more wagers in association with a game being played by a second user and streamed by a live streaming platform.


