Real-time Expert Guidance Across Multiple Industries

Publication ID: 24-11857883_0007_PTD
Published: October 28, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Real-time Expert Guidance Across Multiple Industries,” Published Technical Disclosure No. 24-11857883_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857883_0007_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 leverages the core technology of connecting users to recorded expert sessions in real-time, originally developed for gaming applications, and applies it to diverse industries such as healthcare, mental wellness, fitness, and nutrition, providing personalized guidance and support.

Background and Problem Solved

The original patent addressed the need for expert assistance in complex video games. However, this limitation underscores the potential for this technology to be applied to other fields where users require real-time guidance. The new inventive concept tackles this limitation by expanding the scope of the technology to cater to various industries, thereby addressing the specific problem of inadequate personalized support in these domains.

Detailed Description of the Inventive Concept

The inventive concept comprises a system that collects user data (health, fitness, mental state, or dietary needs) and defines a current context based on this data. The system then matches this context to a recorded expert session, selected from a database of relevant sessions, and connects the user to the matched session in real-time. This enables users to receive personalized guidance and support from experts in their respective fields, facilitating improved outcomes and experiences.

Novelty and Inventive Step

The new claims introduce a novel application of the original patent's core technology, extending its scope to multiple industries. The inventive step lies in recognizing the potential for this technology to be adapted to diverse domains, thereby creating a new paradigm for personalized guidance and support.

Alternative Embodiments and Variations

Alternative embodiments may include integrating AI-powered chatbots to provide supplementary guidance, incorporating wearable devices to collect user data, or developing mobile applications for on-the-go access to expert sessions. Variations may involve applying the technology to other industries, such as education or finance, or incorporating additional data sources, like social media or IoT devices, to enhance the user context.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential across various industries, including healthcare, wellness, fitness, and nutrition. Target markets may include healthcare providers, insurance companies, fitness centers, and nutrition counseling services, all of which can benefit from offering personalized guidance and support to their clients.

CPC Classifications

SectionClassGroup
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

Field of Art

Interactive digital systems with context-based user assistance, spanning video gaming, health monitoring, and personalized guidance technologies. Requires expertise in machine learning, data matching algorithms, and user context recognition across digital platforms

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced knowledge in software engineering, machine learning, user experience design, and cross-domain data matching techniques. Capable of translating technical solutions between different application domains with standard engineering adaptability

Obviousness Rationale

A PHOSITA would recognize the fundamental technical framework of context-based expert session matching is fundamentally transferable across domains. The core technological mechanism of collecting user data, defining contextual parameters, and dynamically matching to relevant recorded guidance sessions represents a generalizable algorithmic approach. The variations disclosed merely represent predictable domain translations of an established technical solution.

Obvious Combinations & Variations

Source Patent Element
Collecting game state data and defining game context parameters
PTD Variation
Collecting health, fitness, or mental health data and defining corresponding contextual parameters
Obviousness Reasoning
Substituting domain-specific data collection while maintaining identical algorithmic matching structure represents a standard design adaptation with predictable results
Source Patent Element
Matching user context to recorded expert game play sessions
PTD Variation
Matching patient health context to recorded health coaching sessions
Obviousness Reasoning
Transferring the core matching algorithm across domains is a straightforward application of known technical techniques with expected outcomes
Source Patent Element
Connecting users to recorded expert guidance in real-time
PTD Variation
Connecting patients or users to recorded expert sessions in healthcare, fitness, and mental wellness contexts
Obviousness Reasoning
Extending the real-time connection mechanism to alternative domains represents an obvious technological extension using standard integration techniques
Source Patent Element
Filtering game contexts based on matching value thresholds
PTD Variation
Filtering health or fitness contexts based on similarity metrics and relevance scoring
Obviousness Reasoning
Applying identical contextual filtering principles across different data domains is a predictable engineering adaptation
Source Patent Element
Identifying expert players based on game performance
PTD Variation
Identifying expert health coaches or trainers based on session effectiveness and user outcomes
Obviousness Reasoning
Translating expertise identification mechanisms across domains represents a standard technological mapping with expected results
35 U.S.C. § 103 Summary: Based on US Patent 11857883's comprehensive disclosure of context-based expert session matching, the present publication demonstrates that the claimed technological variations would be obvious to a person having ordinary skill in the art. The systematic translation of context recognition, expert matching, and real-time guidance mechanisms across multiple domains represents a predictable technological extension that lacks inventive complexity, thereby rendering potential derivative claims obvious and non-patentable.

Original Patent Information

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