Automation Routine Generation From External Device State Feedback
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Solution Overview
Problem
Conventional electronic devices require users to individually set up automation patterns for external devices, which is time-consuming and lacks intuition, as users must manually configure settings for each device through a user interface.
Innovation Solution
An electronic device with a processor, communication module, and memory that receives operation information from connected external devices, generates automation patterns based on this information, and updates them in real-time, allowing users to easily create and modify automation patterns without complex interface manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If users manually configure settings for each external device through a user interface, then automation patterns can be generated, but the process becomes time-consuming and lacks intuition
Solution Approach 1:
The electronic device automatically generates automation patterns by receiving operation information from external devices and analyzing usage patterns, eliminating the need for users to manually configure each setting. The system serves itself by autonomously creating automation routines based on observed device operations and user behavior patterns.
Solution Approach 2:
The system receives operation information from external devices and uses this feedback to generate and refine automation patterns. By continuously monitoring device operations and comparing actual usage with generated automation patterns, the system iteratively improves automation accuracy and reduces manual setup requirements.
2Extent of automation
If users manually configure settings for each external device through a user interface, then automation patterns can be generated, but the process becomes complex and unintuitive
Solution Approach 1:
The system automatically generates automation patterns by analyzing operation information from external devices without requiring users to navigate complex interface configurations. Users simply interact with external devices naturally, and the system autonomously translates these interactions into automation patterns, making the process intuitive and user-friendly.
Solution Approach 2:
The electronic device acts as an intermediary between external devices and automation logic. It receives operation information from external devices, processes this information through analysis algorithms, and generates automation patterns that bridge the gap between device operations and user needs, simplifying the overall process.
3Adaptability or versatility
If automation patterns are generated based on real-time operation information from external devices, then the system becomes more adaptive, but the processing complexity increases
Solution Approach 1:
The system receives real-time operation information from external devices and uses this feedback to dynamically generate and update automation patterns. The continuous feedback loop enables the system to adapt to changing usage patterns and device states, improving versatility while managing complexity through iterative refinement rather than complex upfront processing.
Solution Approach 2:
The system performs preliminary analysis of operation information to identify patterns and generate automation rules in advance. By preprocessing and analyzing operation data before full automation execution, the system reduces real-time processing complexity while maintaining high adaptability to different device operations and user behaviors.
Data Source
AI summary
An electronic device according to various embodiments includes: a display, a communication module comprising communication circuitry, a memory, and a processor operatively connected to the display, the communication module, and the memory, wherein the processor is configured to: receive, from at least one communicatively connected external electronic device, first operation information on an operating state of the at least one external electronic device; generate an automation pattern including an operation of the at least one external electronic device based on the first operation information; receive second operation information on the operating state of the at least one external electronic device from the at least one external electronic device after the reception of the first operation information; change the automation pattern based on a difference between the operating state of the at least one external electronic device included in the first operation information and the operating state of the at least one external electronic device included in the second operation information; and execute the automation pattern based on an input.