Context-Aware Docking Control for Intent-Based IHS Coupling

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Solution Overview

Problem

The transition from x86 to ARM-based processors in Information Handling Systems (IHSs) has created challenges in management, customization, optimization, interaction, and configuration for users and Original Equipment Manufacturers (OEMs), necessitating improved methods for context-based docking and management.

Innovation Solution

An IHS equipped with a heterogeneous computing platform that includes a processor, memory, and an orchestrator to detect a docking station via wireless signals, infer user intent based on signal strength and movement, and couple the IHS to the docking station accordingly, utilizing context information such as signal strength, movement, orientation, and user schedule.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic docking is implemented based on simple proximity detection, then docking speed is improved, but docking accuracy deteriorates due to unintended docking

Engineering Contradiction:
Improvedocking speedVSAvoiddocking accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system continuously monitors multiple context parameters (wireless signal strength, accelerometer data, gyroscope data, calendar events, application state) and uses this feedback to dynamically adjust docking decisions. This multi-parameter feedback mechanism ensures both rapid response and high accuracy by confirming user intent through correlated signals across different data sources.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary context evaluation before executing docking, checking multiple conditions (signal strength thresholds, movement patterns, calendar events, application state) in advance. This preliminary action prevents unintended docking by verifying user intent before the actual coupling occurs, while still maintaining fast response through optimized evaluation sequences.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If multiple context parameters are monitored to improve docking accuracy, then system intelligence is improved, but computational complexity increases

Engineering Contradiction:
Improvedocking accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The orchestrator serves multiple functions: it manages wireless connectivity, processes sensor data from accelerometers and gyroscopes, monitors application state, checks calendar events, and controls docking operations. This multi-functional design consolidates complexity into a single coordination layer rather than requiring separate systems for each function.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The orchestrator acts as an intermediary layer between the operating system, hardware sensors, and docking mechanisms. It abstracts the complexity of multiple context parameters by providing a unified decision-making interface that evaluates all inputs and generates simple docking commands, thereby managing system complexity centrally.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If context-based inference is implemented to prevent unintended docking, then user experience is improved, but processing time increases

Engineering Contradiction:
Improveuser experienceVSAvoidprocessing time
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary context evaluation by establishing threshold values for wireless signal strength and pre-defining movement patterns that indicate docking intent. Calendar events and application states are pre-checked for relevance. This preliminary preparation enables rapid real-time decisions without extensive processing during the actual docking moment.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system evaluates multiple context parameters but applies selective weighting - focusing computational resources on the most indicative parameters (wireless signal strength and movement patterns) while using other parameters (calendar, applications) as supporting confirmation. This partial evaluation approach maintains high accuracy while reducing overall processing time.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS12526603B2Systems and methods for context-based docking of information handling systems
Publication Date: 2026.01.13 DELL PROD LP
  • US12526603B2 patent drawing
  • US12526603B2 patent drawing
  • US12526603B2 patent drawing

AI summary

Systems and methods are provided for context-based docking of an IHS (Information Handling System) that includes a heterogeneous computing platform. In an illustrative, non-limiting embodiment, an IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: detect a docking station in proximity to the IHS based on a wireless signal generated by the docking station; determine context information for the proximity of the IHS to the docking station, wherein the context information comprises a strength of the wireless signal of the docking station and further comprises movement of the IHS; infer whether the user intends to dock the IHS based on the determined context for the proximity of the IHS to the docking station; and couple the IHS to the docking station in response to the inferred intent.