Electronic Device Automatic Task Reminder System
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Solution Overview
Problem
Conventional electronic devices require manual user input to set reminders for tasks, making it difficult for users to remember task completion status and performance timing.
Innovation Solution
An electronic device with a communication circuit, memory, and processor that automatically identifies user devices, generates reminder and completion conditions, and transmits messages to designated devices based on operation histories, eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual reminder setting is implemented, then users can be notified of tasks at appropriate times, but users must remember to set reminders and check completion status
Solution Approach 1:
The system enables automatic task monitoring and reminder generation without requiring continuous user intervention. The electronic device autonomously tracks task completion status through operation history analysis and automatically sends notifications, allowing the system to serve itself rather than requiring users to manually set and check reminders.
Solution Approach 2:
The system implements automatic feedback loops by continuously monitoring operation history from user devices, comparing current state against stored task conditions, and generating appropriate notifications. This closed-loop feedback mechanism ensures tasks are automatically tracked and users are notified of completion status without manual intervention.
2Extent of automation
If automatic task monitoring is implemented, then users are automatically notified of task completion, but the system complexity increases
Solution Approach 1:
The electronic device performs multiple functions including storing task conditions, monitoring operation history, analyzing completion status, and sending notifications through a single integrated system. This multi-functional approach consolidates what could be separate complex systems into one unified device, managing complexity through functional integration rather than proliferation of components.
Solution Approach 2:
The system uses operation history data as an intermediary layer between task definition and completion detection. Rather than directly monitoring task execution, the system analyzes indirect evidence through stored operation histories, which simplifies the monitoring mechanism by using data mediation rather than direct observation of complex processes.
3Measurement precision
If operation history analysis is used to detect task completion, then automatic recognition is achieved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by storing operation history data and task completion conditions in advance. Rather than processing raw data in real-time when completion needs to be detected, the system has pre-organized the necessary information, allowing for efficient comparison and analysis that reduces energy consumption during actual task completion detection.
Solution Approach 2:
The system analyzes only the specific operation history data relevant to task completion rather than processing all possible device data. By focusing on partial data sets that are sufficient for completion detection, the system achieves accurate measurement without the energy cost of comprehensive data processing.
Data Source
AI summary
Disclosed is an electronic device including an intelligence function that reminds a user of a task to be performed, even though the user does not manually set a reminder and notifies the user whether the task has been completed. This intelligence function may be implemented in various applications, such as a reminder, a calendar, or an artificial intelligence assistant. Aspects of the disclosure may also increase business utilization of a care service. For example, the electronic device may be used to check the progress of housework of a sitter who cares for a person such as a child, an elderly parent, or a patient.