Intelligent Controller Configuration Optimization System
Legal Citation
Summary of the Inventive Concept
An AI-driven system that optimizes controller settings in real-time, enhancing user experience, performance, and accessibility, while addressing limitations of existing automated controller configuration recommendation systems.
Background and Problem Solved
The original Automated Controller Configuration Recommendation System, while effective, had limitations in adapting to individual user preferences, playstyles, and real-time feedback. The new inventive concept addresses these limitations by integrating machine learning, real-time user feedback, and advanced analytics to provide a more personalized and efficient controller configuration experience.
Detailed Description of the Inventive Concept
The Intelligent Controller Configuration Optimization System comprises a user profile module, a recommendation engine, a machine learning module, and a configuration optimizer. The system analyzes user behavior, tracks performance metrics, and identifies areas of improvement. It then generates a customized profile, suggesting controller settings based on real-time user feedback and predictive modeling. The system can automatically apply optimal settings to the controller, ensuring a seamless and adaptive user experience.
Novelty and Inventive Step
The new claims introduce a significant inventive step by incorporating machine learning, real-time user feedback, and advanced analytics to optimize controller settings. This integration enables a more personalized, efficient, and adaptive controller configuration experience, distinguishing the new inventive concept from the original patent.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the system with various software applications, such as video games, flight simulators, or audio recording software. Variations may involve using different machine learning algorithms, incorporating additional user feedback mechanisms, or developing specialized controller interfaces for specific industries or user groups.
Potential Commercial Applications and Market
The Intelligent Controller Configuration Optimization System has significant commercial potential in the gaming, simulation, and software industries, where user experience and performance are critical. It can also be applied in accessibility-focused markets, enhancing the overall value proposition of controller-based products and services.
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)
Field of Art
Human-computer interaction, interactive software systems, controller configuration and optimization, with expertise in user interface design, machine learning, and adaptive system technologies
Person of Ordinary Skill (PHOSITA) Profile
A skilled professional with advanced degrees in computer science, software engineering, or human-computer interaction, possessing knowledge of machine learning algorithms, user experience design, and interactive system optimization techniques
Obviousness Rationale
A PHOSITA would recognize that the PTD's machine learning-driven controller configuration system represents an incremental and predictable extension of the source patent's automated configuration recommendation approach. The core technical problem of optimizing user interaction remains consistent, with the PTD introducing standard machine learning techniques to enhance the existing recommendation framework. The systematic approach of analyzing user behavior, generating personalized configurations, and providing adaptive settings follows directly from the source patent's foundational teachings.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,868 |
|---|---|
| Title | Automated controller configuration recommendation system |
| Assignee(s) | Electronic Arts Inc. |