Smart Wearable Notification Storage for Faster Message Retrieval
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Solution Overview
Problem
Users of smart wearable devices face inefficiencies in quickly obtaining desired notification message content due to the need to browse through numerous messages, lacking a systematic approach to categorize and retrieve specific messages.
Innovation Solution
Implement a method and apparatus that classify notification messages using classification identifiers and keyword information, dividing storage areas accordingly, and store messages based on matching relationships, enabling direct retrieval from targeted areas upon instruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If notification messages are stored in a unified storage area, then the device structure is simple, but the user needs to browse through all messages one by one, resulting in low message retrieval efficiency
Solution Approach 1:
The patent divides the storage area into multiple independent storage areas, each corresponding to a specific classification identifier (e.g., social, news, shopping). Messages are segmented and stored in different areas based on their type, allowing users to directly access specific message categories without browsing through all messages. This segmentation resolves the contradiction by improving retrieval efficiency while maintaining manageable complexity through organized structure.
Solution Approach 2:
The patent introduces a new dimension of classification by creating multiple storage areas indexed by classification identifiers. Instead of a single-dimensional linear storage, the system implements a multi-dimensional storage structure where messages can be accessed through different classification dimensions. This dimensional change enables efficient retrieval by allowing direct navigation to specific message types.
2Loss of time
If multiple independent storage areas are created for different message types, then message retrieval efficiency is improved, but the device structure becomes more complex
Solution Approach 1:
The storage system is segmented into multiple independent areas, each dedicated to a specific message classification. This segmentation allows users to quickly access old messages of a particular type without searching through all messages, significantly reducing the time loss. The segmentation approach balances the increased structural complexity with substantial time savings in message retrieval.
Solution Approach 2:
Messages are pre-classified and stored in appropriate storage areas before the user needs to retrieve them. This preliminary classification action eliminates the need for users to search through messages at retrieval time, reducing time loss. The system performs the classification work in advance, making the retrieval process efficient despite the multi-area structure.
3Ease of operation
If all notification messages are presented equally, then the presentation logic is simple, but important messages may be missed and user experience deteriorates
Solution Approach 1:
Different storage areas are assigned different local qualities based on their classification identifiers. Each storage area can have customized presentation characteristics, such as priority levels, display formats, or notification methods. This local quality differentiation ensures that important messages (e.g., social or urgent notifications) are presented with higher prominence, improving user experience while maintaining relatively simple presentation logic through localized customization.
Data Source
AI summary
Disclosed are a processing method and a processing apparatus for notification message, and a smart wearable device. The method includes: receiving classification identifiers and keyword information corresponding to the classification identifiers; dividing an independent storage area for each of the classification identifiers, and recording keyword information corresponding to each storage area; when a notification message is received, parsing word information contained in the notification message; storing the notification message to a corresponding storage area according to matching relationship between the word information and the keyword information; and selecting a target storage area matching with the word information contained in a message reading instruction, and reading the notification message from the target storage area. In the present application, by dividing different storage areas for storing different types of notification messages, the required notification message is directly read from the corresponding storage area when the notification message is read subsequently.