Controller Configuration Optimization Across Diverse Industries

Publication ID: 24-11857868_0007_PTD
Published: October 28, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Controller Configuration Optimization Across Diverse Industries,” Published Technical Disclosure No. 24-11857868_0007_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857868_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. 11,857,868.

Summary of the Inventive Concept

A system and method for adapting controller settings to optimize performance in diverse industries and applications, leveraging user profiles, preferences, and performance data.

Background and Problem Solved

The original patent addressed the need for personalized controller settings in software applications, but its scope was limited to gaming and simulation environments. However, the problem of suboptimal controller settings persists across various industries, including healthcare, agriculture, accessibility, fitness, and industrial manufacturing. The new inventive concept tackles this broader challenge by applying the core technology to entirely new fields, ensuring seamless user experiences and improved outcomes.

Detailed Description of the Inventive Concept

The inventive concept involves a system and method for analyzing user profiles, preferences, and performance data to recommend optimal controller settings in diverse industries. For instance, in medical software environments, the system adapts controller settings for optimal performance based on medical professional user profiles. In agricultural settings, user input on preferred settings for specific crops or soil types is used to adjust controller settings for optimal crop yield and minimized waste. Similarly, in accessibility, fitness, and industrial manufacturing contexts, the system analyzes user needs, fitness goals, and production line efficiency to suggest optimal controller settings.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift by applying the original patent's core technology to entirely new industries and use cases, leveraging the same principles of user profiling and performance data analysis to optimize controller settings. This expansion into diverse fields constitutes a non-obvious and novel contribution to the art.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include integrating machine learning algorithms to refine controller setting recommendations, incorporating real-time feedback mechanisms to adapt to changing user needs, or developing specialized controller interfaces for specific industries. Variations may also involve applying the inventive concept to other areas, such as education, transportation, or energy management.

Potential Commercial Applications and Market

The inventive concept has vast commercial potential across multiple industries, including healthcare, agriculture, accessibility, fitness, and industrial manufacturing. By optimizing controller settings, companies can improve user experiences, increase productivity, and reduce costs. The target market includes software developers, medical device manufacturers, agricultural equipment suppliers, fitness equipment manufacturers, and industrial machinery providers.

CPC Classifications

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

Field of Art

Human-computer interaction, software interface design, and controller configuration systems, with expertise in user experience optimization across digital platforms including gaming, professional software, and specialized equipment interfaces

Person of Ordinary Skill (PHOSITA) Profile

A software engineer or human-computer interaction specialist with advanced knowledge of user profiling techniques, performance telemetry, adaptive interface design, and cross-domain controller configuration strategies

Obviousness Rationale

A person having ordinary skill would recognize that the core technological concept of the source patent - analyzing user characteristics and performance data to dynamically adjust controller settings - can be systematically extended across diverse technological domains by applying consistent user profiling and adaptive configuration methodologies. The PTD demonstrates a predictable application of the source patent's core technological principles to new contextual environments, utilizing substantially identical technical approaches of data collection, user analysis, and dynamic configuration. The variations represent logical extrapolations that would be apparent to a skilled practitioner familiar with adaptive interface design principles.

Obvious Combinations & Variations

Source Patent Element
Identifying user characteristics and preferences through performance telemetry
PTD Variation
Applying user profiling techniques to medical device, agricultural equipment, and industrial machinery controller configurations
Obviousness Reasoning
Known technique of generalized user performance analysis, predictable results through systematic application across different technological domains
Source Patent Element
Comparing user profiles to generate configuration recommendations
PTD Variation
Cross-referencing accessibility user needs and fitness goals to generate personalized controller settings
Obviousness Reasoning
Finite set of identifiable user characteristics, design choice in applying comparative analysis methodology
Source Patent Element
Dynamic controller configuration based on user interaction data
PTD Variation
Real-time adaptation of controller interfaces for specialized professional environments
Obviousness Reasoning
Predictable extension of adaptive interface design principles, leveraging existing performance tracking technologies
Source Patent Element
Software-based controller configuration recommendation system
PTD Variation
Machine learning enhanced recommendation algorithms for cross-industry controller optimization
Obviousness Reasoning
Known improvement technique, application of standard machine learning approaches to existing technological framework
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857868, the present disclosure demonstrates that the claimed variations in controller configuration across diverse technological domains would have been obvious to a person having ordinary skill in the art at the time of invention, as the fundamental methodology of user profiling, performance analysis, and dynamic interface adaptation remains consistent and predictably applicable across multiple technological contexts.

Original Patent Information

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