Intelligent Controller Configuration Ecosystem

Publication ID: 24-11857868_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Controller Configuration Ecosystem,” Published Technical Disclosure No. 24-11857868_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857868_0003_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 revolutionary system integrating AI, IoT, blockchain, and materials science to provide personalized, adaptive, and optimized controller configurations for enhanced user experience and performance.

Background and Problem Solved

The original patent, Automated controller configuration recommendation system, addressed the limitations of traditional controller settings by introducing automated recommendations based on user characteristics. However, it did not fully leverage the potential of emerging technologies to create a more comprehensive and dynamic controller configuration system. The new inventive concept addresses this limitation by integrating distinct technologies to create a more powerful and adaptive system.

Detailed Description of the Inventive Concept

The Intelligent Controller Configuration Ecosystem consists of a machine learning model trained on user behavior data and software performance metrics, which is utilized by a recommendation engine to suggest customized controller settings based on individual user needs. The system integrates blockchain technology to securely store and share user controller settings, and utilizes IoT sensor data to dynamically adjust controller settings in response to changing user environments. Additionally, the system incorporates natural language processing to interpret user voice commands and adjust controller settings in real-time, with a graphical user interface providing visual representation of the adjusted settings. Furthermore, the system utilizes a combination of artificial intelligence and materials science to develop novel controller materials and geometries that enhance user experience and performance. The system also includes a distributed ledger to record and verify controller settings, and integrates AI-driven simulation tools to test and refine controller settings in a virtual environment.

Novelty and Inventive Step

The new claims introduce a synergistic combination of AI, IoT, blockchain, and materials science to create a more comprehensive and adaptive controller configuration system, which is new and non-obvious compared to the original patent. The integration of these technologies enables personalized, real-time, and optimized controller settings, which is a significant departure from the original patent's automated recommendations.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Controller Configuration Ecosystem could include the use of augmented reality to visualize controller settings, or the integration of biometric sensors to further personalize controller configurations. Variations of the system could be implemented for specific industries, such as gaming, simulation, or accessibility.

Potential Commercial Applications and Market

The Intelligent Controller Configuration Ecosystem has significant commercial potential in various industries, including gaming, simulation, and accessibility. The system's ability to provide personalized and optimized controller configurations can enhance user experience, improve performance, and increase customer satisfaction. The target market includes controller manufacturers, software developers, and users seeking customized controller settings.

CPC Classifications

SectionClassGroup
A A63 A63F13/23
A A63 A63F13/22
A A63 A63F13/42
G G06 G06N20/00

Original Patent Information

Patent NumberUS 11,857,868
TitleAutomated controller configuration recommendation system
Assignee(s)Electronic Arts Inc.