Streamed-Game Wager Paytables for Personalized User Outcomes
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Solution Overview
Problem
Existing gaming systems lack the ability to provide diverse and personalized outcomes for different users participating in the same streamed game, leading to uniform interactions that fail to differentiate user experiences.
Innovation Solution
Implementing a system that allows different client devices to employ unique paytables and enable user inputs based on individual attributes, enabling personalized interactions and varied outcomes for each user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single uniform paytable is used for all users in a streamed game, then the system complexity is reduced and evaluation is simplified, but user engagement and personalization are compromised
Solution Approach 1:
The system segments the evaluation process by creating separate paytables for different user types (streamer vs. viewer) and different device categories (mobile, tablet, desktop). Each segment has its own evaluation criteria and award structures, allowing personalized outcomes while maintaining manageable system complexity through structured organization
Solution Approach 2:
Different paytables are applied to different local contexts (user types, devices, locations). The system evaluates outcomes differently based on local characteristics such as whether the user is a streamer or viewer, what device they are using, and their geographic location, thereby providing tailored experiences without requiring complete system redesign
2Adaptability or versatility
If different paytables are implemented for different users, then user engagement and personalization are improved, but the complexity of evaluating outcomes increases
Solution Approach 1:
The system performs preliminary classification of users into distinct categories (streamers, viewers, mobile users, desktop users) before the gaming session begins. Paytables are pre-configured for each category based on historical data and user attributes, so that during actual play, the evaluation process simply involves matching the user to the appropriate pre-defined paytable rather than performing complex real-time analysis
Solution Approach 2:
A central evaluation server acts as an intermediary between the gaming platform and users. This server manages the complexity of maintaining multiple paytables and automatically selects the appropriate one based on user characteristics, shielding the user interface from complexity while enabling diverse outcomes. The intermediary handles the computational burden of evaluating different paytables centrally
3Ease of operation
If user inputs are incorporated into outcomes, then active participation and engagement are enhanced, but the complexity of determining outcomes increases
Solution Approach 1:
The system incorporates only the most impactful user inputs into outcome determination rather than all possible inputs. For example, in poker games, only critical decisions (fold/call/check) are used as differentiating factors rather than every minor player action. This selective approach maintains user engagement through meaningful participation while limiting the computational and logical complexity of outcome evaluation
Data Source
AI summary
Systems and methods that enable different users to obtain different outcomes in association with the same game streamed by a live streaming platform.