Automated Environment Feedback for User Routine-Based Device Control
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Solution Overview
Problem
Existing automated systems lack the ability to detect user patterns and provide feedback or automate actions based on these patterns, leading to inefficiencies and potential energy waste in controlling electronic devices and appliances.
Innovation Solution
An automated environment that uses controllers to detect user interactions and patterns, providing feedback and suggesting automation rules to optimize device operation, such as reminding users of omitted actions or suggesting energy-saving changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If automated systems control electronic devices without detecting user patterns, then device operation is simplified, but energy waste occurs and user convenience decreases
Solution Approach 1:
The system implements feedback by detecting user interactions with accessories, identifying patterns in these interactions, and providing notifications to users when deviations from established patterns occur. This feedback loop enables the system to learn and adapt to user behavior, optimizing energy consumption by automating devices based on detected patterns while maintaining user control and awareness through notifications.
2Productivity
If the system automates device operation without detecting user patterns, then ease of operation is improved, but productivity and energy efficiency deteriorate
Solution Approach 1:
The system performs self-service by automatically detecting user patterns through monitoring interactions with accessories and autonomously determining when deviations from these patterns occur. This self-learning capability enables the system to improve productivity and energy efficiency through automated decision-making while preserving user control, as users can review and respond to notifications about pattern deviations.
3Extent of automation
If the system monitors and detects user interaction patterns, then energy efficiency and automation are improved, but device complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining pattern detection, deviation identification, and automated notification capabilities within a unified automated environment. The controller serves multiple functions: monitoring user interactions with various accessories, analyzing this data to detect patterns, determining deviations from these patterns, and providing notifications. This universal approach enables high automation levels without proportionally increasing system complexity.
Data Source
AI summary
A device in an automated environment can detect patterns in the user's interactions with accessories in the automated environment and can provide feedback to the user based on the patterns. Examples include: suggesting automation of particular actions based on the patterns; suggesting actions that conform to the pattern when the user performs part of the pattern; or suggesting changes to a pattern to conform to a preferred pattern. A state of the group of accessory devices can be changed together based on the pattern of accessory state changes for the group of accessory devices.