Multi-User Recreational Environment for Skill-Based Asset Acquisition
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Solution Overview
Problem
Existing recreational environments lack the capability to seamlessly integrate higher quotients of skill-based interactions, leading to reliance on chance-based interactions and uncertainty in acquiring assets, neglecting user preference for skill-integrated experiences.
Innovation Solution
A multi-user recreational environment with an interface module providing visual components, a communication module for generating and receiving user input, a positioning module for repositioning user identifiers, and an event detector for estimating asset counts based on user interactions, enhancing certainty of asset acquisition through skill-based interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If chance-based interactions are used in online recreational environments, then user engagement is enhanced through element of chance and potential for monetary gains, but user reliance on uncertainty increases and skill-based interactions are overlooked
Solution Approach 1:
The system changes the fundamental parameter of interaction from chance-based to skill-based by introducing a positioning module that moves user identifiers based on skill assessment. This transforms the acquisition mechanism from random probability to deterministic skill evaluation, resolving the contradiction between engagement and certainty.
Solution Approach 2:
The patent replaces the mechanical chance-based random selection system with a skill-based positioning system. Instead of relying on random number generation and probability, the system uses skill assessment to determine asset acquisition, substituting the mechanical randomness with a more reliable skill evaluation mechanism.
2Reliability
If skill-based interactions are integrated into recreational environments, then user skill and strategic action are enhanced, but the complexity of the environment increases
Solution Approach 1:
The system segments the recreational environment into distinct functional modules: an interface module for user interaction, a positioning module for skill-based movement, and an event detector for asset distribution. This modular segmentation allows skill-based complexity to be managed through organized, discrete components rather than a monolithic complex system.
Solution Approach 2:
The positioning module acts as an intermediary between user skill input and asset distribution. It receives skill-based input, processes it through positioning logic, and outputs to the event detector for asset allocation. This intermediary layer simplifies the overall system by mediating between complexity of skill assessment and simplicity of asset distribution.
3Ease of operation
If higher quotients of skill-based interactions are provided, then user strategic action and competition are enhanced, but the capability to seamlessly integrate such interactions is lacking in existing technologies
Solution Approach 1:
The positioning module is designed with multi-functionality to handle various skill-based interaction scenarios. It can process different types of skill inputs, manage multiple user identifiers, and adapt to different asset distribution schemes. This universal design enables seamless integration of high quotients of skill-based interactions without requiring separate specialized systems for each interaction type.
Data Source
AI summary
A multi-user recreational environment (100) to enable users to enhance certainty of acquiring requisite assets during an interactive session. The environment (100) includes an interface module (102) to provide visual components including an array of positioning units, a set of selection objects and user identifiers, to each user in the session. The environment (100) also includes a communication module (104) to generate varying selection objects for the set, at the initiation of each round of interaction in the session and to receive user input indicative of user preference from the set. The environment (100) further includes a positioning module (106) to reposition first category user identifiers, within the array of positioning units, based on the received user input and an event detector (108) to estimate a count of assets to be assigned to users associated with the repositioning of the first category user identifiers.

