Real-Time Gaming Assistance through Expert Matching and Personalized Help Sessions

Publication ID: 24-11857883_0001_PTD

Published: October 28, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Real-Time Gaming Assistance through Expert Matching and Personalized Help Sessions,” Published Technical Disclosure No. 24-11857883_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857883_0001_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,883.

Summary of the Inventive Concept

This inventive concept introduces an advanced gaming assistance system that connects players with experts in real-time, providing personalized help sessions based on the player's current game context. This system improves gaming experience, increases player satisfaction, and reduces frustration.

Background and Problem Solved

The original patent, 'Connecting a player to a recorded help session in real-time during game play of a video game', addressed the issue of providing expert assistance in gaming applications. However, it had limitations in terms of expert matching, real-time assistance, and personalized help. The new inventive concept addresses these limitations by introducing a more efficient and effective system for providing real-time gaming assistance.

Detailed Description of the Inventive Concept

The inventive concept consists of a game state analyzer, a matching engine, and a communication module. The game state analyzer identifies the player's current game context, and the matching engine selects an expert with a matching game context. The communication module connects the player to a recorded help session of the expert, which is indexed by game context. Additionally, the system includes a player profiling module, a recommendation engine, and a clustering module to provide personalized help sessions and optimize expert matching.

Novelty and Inventive Step

The new inventive concept introduces the following novel features: (1) real-time expert matching based on game context, (2) personalized help sessions generated from recorded help sessions, and (3) a clustering module for optimizing expert assignment. These features are non-obvious and improve upon the original patent's limitations.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using machine learning algorithms to improve expert matching, integrating the system with popular gaming platforms, or developing a mobile app for on-the-go gaming assistance.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the gaming industry, particularly in the areas of online gaming, esports, and gaming education. The target market includes gaming platforms, game developers, and gamers seeking improved assistance and personalized help.

CPC Classifications

Section	Class	Group
A	A63	A63F13/86
A	A63	A63F13/30
A	A63	A63F13/35
A	A63	A63F13/79
A	A63	A63F13/85
A	A63	A63F13/87
G	G06	G06F16/433
G	G06	G06N3/08
G	G10	G10L15/26
A	A63	A63F13/497
A	A63	A63F13/67
A	A63	A63F2300/303

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Video game assistance technologies, interactive gaming platforms, and computer-implemented support systems, involving expertise in software engineering, game design, user interaction, and machine learning techniques

Person of Ordinary Skill (PHOSITA) Profile

A software engineer with expertise in game development, user experience design, and interactive assistance systems, familiar with machine learning techniques, data analysis, and real-time contextual matching algorithms

Obviousness Rationale

A person of ordinary skill would recognize that the PTD's proposed variations represent predictable extensions of the source patent's core gaming assistance framework. The additional features like clustering, personalized recommendation, and machine learning-enhanced matching are logical technological progressions that solve known limitations in expert assistance systems. These variations represent standard engineering approaches to improving contextual matching and user experience in interactive platforms.

Obvious Combinations & Variations

Source Patent Element

Collecting game state data and defining game context through parameters

PTD Variation

Adding a player profiling module that creates comprehensive player profiles based on game state data

Obviousness Reasoning

Creating detailed user profiles from existing game data is a predictable optimization technique that a PHOSITA would consider an obvious design improvement for more precise expert matching

Source Patent Element

Matching players with experts based on game context

PTD Variation

Implementing a clustering module to group players with similar game contexts and optimize expert assignment

Obviousness Reasoning

Developing clustering algorithms for more sophisticated matching represents a standard machine learning approach that would be obvious to a skilled practitioner seeking to enhance contextual recommendation systems

Source Patent Element

Connecting players to recorded help sessions

PTD Variation

Indexing recorded help sessions by specific game context and using recommendation engines to suggest personalized assistance

Obviousness Reasoning

Enhancing recorded session retrieval through context-specific indexing and personalized recommendation is a logical extension of existing assistance technologies, representing an obvious improvement to user experience

Source Patent Element

Providing gaming assistance through expert matching

PTD Variation

Integrating machine learning algorithms to dynamically improve expert matching accuracy over time

Obviousness Reasoning

Applying machine learning techniques to iteratively refine matching processes is a well-known approach in recommendation systems, representing an obvious technological progression for a skilled practitioner

Source Patent Element

Real-time gaming assistance system

PTD Variation

Developing a mobile application to provide on-the-go gaming assistance across multiple platforms

Obviousness Reasoning

Extending assistance technologies to mobile platforms represents a predictable market-driven innovation that would be obvious to a PHOSITA seeking to expand system accessibility

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857883 and the disclosed variations, a person of ordinary skill in the art would find the proposed gaming assistance system variations obvious and non-patentable. The incremental technological improvements represent standard engineering approaches to enhancing contextual matching, personalization, and user experience in interactive assistance platforms, thereby rendering subsequent claims obvious and anticipated by the prior art.

Original Patent Information

Patent Number	US 11,857,883
Title	Connecting a player to a recorded help session in real-time during game play of a video game
Assignee(s)	Sony Interactive Entertainment Inc.