Neuro-Adaptive Controller Configuration System

Publication ID: 24-11857868_0010_PTD

Published: October 28, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Neuro-Adaptive Controller Configuration System,” Published Technical Disclosure No. 24-11857868_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857868_0010_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. 11,857,868.

Summary of the Inventive Concept

A next-generation controller configuration system that leverages AI, machine learning, and biometric data to provide personalized, real-time controller customization, revolutionizing the gaming and software interaction experience.

Background and Problem Solved

The original Automated Controller Configuration Recommendation System, while innovative, had limitations in terms of its reliance on user profiles and playstyle analysis. The new inventive concept addresses these limitations by incorporating cutting-edge technologies to create a more dynamic, adaptive, and user-centric controller configuration system.

Detailed Description of the Inventive Concept

The Neuro-Adaptive Controller Configuration System comprises a neural network trained on user behavior and performance data to predict optimal controller settings for each user. The system also includes a controller interface to receive user input and adjust controller settings accordingly. Additionally, the system can analyze user biometric data, such as brain activity, heart rate, and eye movement, to determine a user's preferred controller configuration. The system can also utilize machine learning algorithms to analyze user gameplay patterns and preferences, generating a recommended controller configuration based on the analysis. Furthermore, the system can connect users with similar gameplay preferences through a social network, allowing for the sharing and adoption of customized controller configurations.

Novelty and Inventive Step

The new claims introduce a paradigm shift in controller configuration technology by incorporating AI, machine learning, and biometric data analysis. The inventive concept's ability to dynamically adapt controller configurations in real-time, based on user behavior and performance data, is a significant departure from the original patent's reliance on user profiles and playstyle analysis.

Alternative Embodiments and Variations

Alternative embodiments of the Neuro-Adaptive Controller Configuration System could include the use of wearable devices to track user physical and emotional responses during gameplay, or the integration of virtual and augmented reality technologies to further enhance the gaming experience. Variations of the system could also be applied to other industries, such as healthcare, education, and entertainment.

Potential Commercial Applications and Market

The Neuro-Adaptive Controller Configuration System has vast commercial potential in the gaming and software industries, with potential applications in esports, gaming accessories, and software development. The system's ability to provide personalized, real-time controller customization could revolutionize the gaming experience, increasing user engagement and loyalty. The system could also be applied to other industries, such as healthcare, education, and entertainment, where personalized user interfaces are critical.

CPC Classifications

Section	Class	Group
A	A63	A63F13/23
A	A63	A63F13/22
A	A63	A63F13/42
G	G06	G06N20/00

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Human-computer interaction, gaming technology, and adaptive control systems, with expertise in user interface design, machine learning, and performance optimization for interactive software interfaces

Person of Ordinary Skill (PHOSITA) Profile

A skilled professional with advanced knowledge in software engineering, human-computer interaction, machine learning techniques, and controller design, typically holding a master's degree or equivalent professional experience in computer science or related engineering disciplines

Obviousness Rationale

A person of ordinary skill would recognize that the source patent's user profile and performance tracking methodology naturally extends to more sophisticated machine learning and biometric analysis techniques. The fundamental concept of adaptive controller configuration is consistent between the source patent and the published technical disclosure, with the PTD representing a predictable technological progression using advanced data analysis techniques. The core innovation of personalized controller settings remains unchanged, with the PTD merely introducing more granular and real-time adaptation mechanisms.

Obvious Combinations & Variations

Source Patent Element

User performance data gathering through telemetry

PTD Variation

Neural network trained on user behavior and performance data to predict optimal controller settings

Obviousness Reasoning

Applying machine learning to existing telemetry data is a known technique for enhancing predictive capabilities, representing an obvious technological progression using standard data science approaches

Source Patent Element

Comparing user profiles to provide suggested adjustments

PTD Variation

Analyzing biometric data like brain activity and heart rate to determine preferred controller configuration

Obviousness Reasoning

Expanding user profiling to include physiological data is a predictable extension of existing user characterization techniques, utilizing emerging biosensing technologies

Source Patent Element

Controller configuration recommendations based on user characteristics

PTD Variation

Social network for sharing and adopting customized controller configurations

Obviousness Reasoning

Collaborative filtering and user-driven configuration sharing represents a natural evolution of personalization techniques, leveraging collective user experience to improve individual interactions

Source Patent Element

Software interaction through configurable controllers

PTD Variation

Real-time dynamic controller configuration using machine learning algorithms

Obviousness Reasoning

Implementing adaptive, context-aware configuration represents a straightforward technological improvement using established machine learning methodologies

Source Patent Element

User preference tracking for software interaction

PTD Variation

Wearable devices tracking physical and emotional responses during gameplay

Obviousness Reasoning

Integrating additional sensor data for more comprehensive user experience monitoring is a predictable technological progression in human-computer interaction design

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857868 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations of adaptive controller configuration systems obvious and anticipated, as the disclosed innovations represent predictable technological extensions employing standard machine learning, biometric analysis, and user interaction design techniques.

Original Patent Information

Patent Number	US 11,857,868
Title	Automated controller configuration recommendation system
Assignee(s)	Electronic Arts Inc.