Adaptive Telemetry Collection Rules for User Behavior

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Solution Overview

Problem

Previous information handling systems collect telemetry data in a rigid and inefficient manner, leading to resource wastage and performance issues, as they do not adapt to changes in user behaviors and often collect unnecessary data, impacting system performance and user experience.

Innovation Solution

An adaptive information handling system that uses machine learning to classify user personas and adjust telemetry data collection rules based on behavior changes, allowing for targeted and efficient data collection, optimizing resource utilization and user experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If telemetry data collection is performed continuously and comprehensively, then data completeness is improved, but system resource consumption increases

Engineering Contradiction:

Improvetelemetry data completenessVSAvoidsystem resource consumption

Core Design Contradiction:

Loss of informationVSUse of energy by moving object

Solution Approach 1:

The patent implements dynamic telemetry data collection by adjusting collection strategies based on detected user behavior changes. The system transitions from static continuous collection to adaptive collection that activates only when behavior changes are detected, thereby maintaining data completeness while reducing unnecessary resource consumption during stable usage periods.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes collection parameters (frequency, scope, intensity) based on user persona classifications and detected behavior changes. By modifying these parameters dynamically rather than maintaining fixed high-intensity collection, the system achieves comprehensive data gathering when needed while conserving resources during normal operation.

Inventive Principle:

Principle #35Parameter changes

2Loss of information

If telemetry data collection is performed continuously, then data availability is improved, but system performance deteriorates

Engineering Contradiction:

Improvetelemetry data availabilityVSAvoidsystem performance

Core Design Contradiction:

Loss of informationVSProductivity

Solution Approach 1:

The patent employs periodic behavior change detection and classification updates rather than continuous processing. The system periodically assesses user behaviors against persona classifications and adjusts collection rules accordingly, maintaining data availability while preventing constant performance degradation from uninterrupted data processing.

Inventive Principle:

Principle #19Periodic action

3Device complexity

If rigid telemetry collection rules are applied, then implementation simplicity is improved, but adaptability to user behavior changes deteriorates

Engineering Contradiction:

Improvecollection rule implementationVSAvoidresponse to user behavior changes

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system implements feedback loops where user behavior data is continuously monitored, compared against persona classifications, and used to adjust collection rules. This feedback mechanism enables the system to adapt to user behavior changes automatically while maintaining a relatively simple rule-based framework that processes the feedback.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The telemetry collection system performs self-adjustment by automatically detecting behavior changes and modifying its own collection rules based on persona classifications. This self-service capability reduces the need for complex external configuration while maintaining high adaptability to changing user patterns.

Inventive Principle:

Principle #25Self-service

4Measurement precision

If comprehensive telemetry data is collected, then analysis accuracy is improved, but data processing overhead increases

Engineering Contradiction:

Improvebehavior analysis accuracyVSAvoiddata processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts and collects only the specific telemetry data relevant to detected user behavior changes and persona classifications. Rather than collecting all possible data continuously, the system extracts only the necessary data points based on current behavioral context, thereby maintaining analysis accuracy while significantly reducing processing overhead.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS11748229B2Adaptive collection of telemetry data

Publication Date: 2023.09.05 DELL PROD LP

AI summary

An information handling system includes a memory and a processor. The memory stores telemetry data, telemetry collection rules, and persona classifications for the information handling system. The processor collects first telemetry data for the information handling system based on first telemetry collection rules. The first telemetry collection rules are set based on a first persona classification for the information handling system. The processor determines whether user behaviors change from behaviors associated with the first persona classification. In response to an amount of change in the user behaviors being above a threshold amount, the processor changes a classification of the information handling system from the first persona classification to a second persona classification. In response to the classification of the information handling system being the second persona classification, the processor collects second telemetry data for the information handling system based on second telemetry collection rules of the second persona classification.