Peripheral Device Configuration Transfer Using Shared Workspace Patterns

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Solution Overview

Problem

Users face the challenge of manually reconfiguring peripheral devices when switching between different workspaces, leading to inconsistencies and loss of personalized settings due to mismatched device setups.

Innovation Solution

A system that utilizes a cloud-based orchestrator to analyze usage patterns across multiple workspaces, applying a clustering algorithm to group similar workspaces and automatically configure peripheral devices based on shared settings, ensuring consistent operation across varied environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users manually reconfigure peripheral devices when switching between workspaces, then device settings can be customized for each workspace, but time consumption increases and configuration consistency is lost

Engineering Contradiction:

Improveworkspace configuration adaptabilityVSAvoidconfiguration time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of workspace usage patterns and pre-configures peripheral device settings before the user actually needs to switch workspaces. By clustering workspaces based on historical usage data and pre-establishing optimal configurations for each cluster, the system eliminates the need for manual reconfiguration when switching, thus resolving the time loss issue while maintaining adaptability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service configuration by automatically detecting the current workspace context and autonomously applying the most appropriate peripheral device settings based on pre-analyzed usage patterns. This eliminates the need for user intervention in the configuration process, reducing time consumption while preserving workspace-specific adaptability.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If peripheral device configurations are manually adjusted for each workspace, then device settings match user preferences, but configuration errors and inconsistencies increase

Engineering Contradiction:

Improveconfiguration easeVSAvoidconfiguration consistency

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system continuously monitors and analyzes actual workspace usage patterns, creating a feedback loop that refines configuration recommendations over time. By comparing actual usage data with configured settings, the system learns from user behavior patterns and automatically adjusts its configuration algorithms, thereby improving both ease of operation and configuration consistency across different workspaces.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system creates and applies configuration templates based on successfully analyzed workspace patterns. Instead of manually configuring each workspace from scratch, the system copies proven configuration settings from similar workspaces that have been successfully configured in the past, ensuring consistency and reducing errors while maintaining ease of operation.

Inventive Principle:

Principle #26Copying

3Measurement precision

If the system analyzes usage patterns across multiple workspaces, then configuration accuracy improves, but system complexity increases

Engineering Contradiction:

Improveusage pattern analysis precisionVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex task of workspace configuration into distinct modules: workspace detection, usage pattern analysis, configuration clustering, and setting application. By dividing the complex system into manageable segments that can be processed independently, the system achieves precise usage pattern analysis without overwhelming complexity in any single component.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces a cloud-based orchestrator as an intermediary component that handles the complex analysis of usage patterns across multiple workspaces. This intermediary layer abstracts the complexity from the user-facing interface, allowing precise analysis to be performed centrally while keeping the end-user interface simple and the local system implementation straightforward.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250254092A1System and method for intelligent transference of peripheral device operational configurations across peripheral device workspaces based on shared usage patterns

Publication Date: 2025.08.07 DELL PROD LP

AI summary

A peripheral device workspace cloud orchestrator executing at a cloud-based information handling system comprises a hardware processor to execute code instructions to determine a usage category from operational telemetry data for a current peripheral device workspace having an anchor node and current peripheral devices operatively coupled at a location, the usage category defined by a previous peripheral device operational telemetry data, previous manifest of previous peripheral devices within a previous peripheral device workspace, and at least one previous functional capability and previous adjustable operational configuration of a previous peripheral device. The hardware processor to determine a functional capability for a current peripheral device sufficiently matches the previous functional capability for the usage category and instructs the anchor node to automatically configure the current peripheral device according to the previous adjustable operational configuration in that usage category.