AI Player Matching for Secure In-Game Coaching Channels
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Solution Overview
Problem
Current digital communication systems lack the capability to provide immediate, relevant, and feasible assistance to video game players in need of coaching for specific game aspects.
Innovation Solution
An apparatus and method that utilize AI models to match video game players as coaches or students based on proficiency, language, and other factors, enabling secure, real-time communication and coaching sessions through a networked platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current digital communication systems are used for player assistance, then basic communication is enabled, but the assistance is not immediate, relevant, or feasible for in-game coaching
Solution Approach 1:
The system performs preliminary actions by pre-identifying skilled players as potential coaches and pre-establishing communication channels before actual coaching sessions are needed. Players are tagged and profiled in advance based on their gameplay performance, so when a coaching need arises, the system can immediately connect appropriate coaches with students without time loss.
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between players and coaches. This intermediary platform includes the server, communication channel, and matching algorithm that facilitates seamless connections. The intermediary handles the complexity of identification, verification, and connection establishment, allowing immediate and relevant assistance without requiring direct player-to-player coordination.
2Ease of operation
If players can freely connect for coaching, then accessibility is improved, but security and trust issues arise
Solution Approach 1:
The system implements feedback mechanisms through player reviews, ratings, and verification processes. After coaching sessions, students can provide feedback about their coach's performance and conduct. This feedback loop creates a reputation system that incentivizes trustworthy behavior and allows future players to make informed decisions about which coaches to connect with, maintaining security while preserving accessibility.
Solution Approach 2:
The system performs preliminary verification and vetting of potential coaches before allowing them to connect with students. The intermediary system checks player histories, skills, and conduct records in advance, creating a trusted network from the outset. This preliminary action prevents harmful connections before they can occur while maintaining easy access for verified players.
3Reliability
If the system identifies and matches coaches manually, then control is maintained, but the process is time-consuming and scales poorly
Solution Approach 1:
The patent replaces manual mechanical matching processes with automated computer-based systems. The intermediary server uses algorithms to automatically analyze player skills, game performance data, and compatibility factors to match coaches with students. This substitution of mechanical manual review with automated computational matching maintains high match quality while dramatically increasing matching speed and scalability.
Solution Approach 2:
The system changes the parameters of matching from subjective manual evaluation to objective quantitative metrics. The intermediary system uses measurable parameters such as skill level, game performance statistics, response time, and compatibility scores to automatically determine matches. This parameter transformation enables rapid, consistent, and scalable matching while maintaining reliable match quality through data-driven decisions.
Data Source
AI summary
Clustering models and other types of models may be used to match a first video game player that is proficient in a particular game task with a second video game player that is facing the same task. A secure communication channel between the two players may then be opened on the game network for the first player to coach the second player within the game environment.