User Metric Vector Administering Devices
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Solution Overview
Problem
Conventional networked devices require user intervention to adjust settings based on their current condition, which is inefficient and inconvenient.
Innovation Solution
A method that creates a user metric vector from disparate user metrics, selects a generic metric space, determines if the user metric vector is outside this space, identifies an appropriate action, and executes it automatically to adjust device settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automatic device adjustment is implemented, then convenience and efficiency are improved, but device complexity increases
Solution Approach 1:
The patent introduces a services gateway as an intermediary component that mediates between the complex automation logic and the user. The gateway creates user metric vectors from disparate metrics, selects appropriate generic metric spaces, determines deviations, identifies actions, and executes device adjustments. This intermediary architecture encapsulates the complexity within the gateway while presenting a simple automated interface to users, resolving the contradiction between improved convenience and increased system complexity.
2Measurement precision
If multiple disparate user metrics are integrated into a unified metric vector, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple disparate user metrics (such as heart rate, temperature, activity level) into a unified user metric vector. This consolidation allows for more precise assessment of user condition by considering multiple factors simultaneously rather than in isolation. The generic metric spaces provide standardized frameworks for evaluating these combined metrics, enabling accurate deviation detection while managing the complexity of processing multiple data sources through a unified approach.
Data Source
AI summary
Methods for administering devices including creating a user metric vector including a plurality of disparate user metrics, selecting a generic metric space including a plurality of generic metric ranges, and determining whether the user metric vector is outside the generic metric space. Embodiments include identifying an action and executing the identified action, if the user metric vector is outside the generic metric space.