Electronic Device Handwriting File Retrieval
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Solution Overview
Problem
Users of battery-driven mobile electronic devices with handwriting input functions face burdensome operations when searching for target files, as they often need to navigate through multiple hierarchical layers and repeatedly change retrieval conditions to find desired documents.
Innovation Solution
The electronic device processes handwriting input as time series data of stroke coordinates, allowing for character recognition and storage as text, enabling efficient retrieval of related files by using the handwritten content as a retrieval key, with features like automatic file indication and network communication to access and store data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually search for target files through multiple hierarchical layers and repeatedly change retrieval conditions, then they can find desired documents, but the operation becomes burdensome and time-consuming
Solution Approach 1:
The system automatically performs file retrieval using handwriting recognition results as search keywords, eliminating the need for users to manually navigate through hierarchical layers or repeatedly change retrieval conditions. The electronic device serves itself by autonomously searching and presenting relevant files based on the recognized handwriting content.
Solution Approach 2:
The system performs handwriting recognition and file retrieval in advance by using the handwriting content as search keywords before the user needs to access the files. This preliminary processing allows the system to have relevant files ready for immediate display, avoiding manual searching during the user's workflow.
2Reliability
If users navigate through multiple hierarchical layers to find target files, then they can access stored documents, but the time required for retrieval increases
Solution Approach 1:
The system replaces the mechanical manual navigation through hierarchical file structures with an automated information processing system. Handwriting recognition technology and automatic search algorithms substitute for the manual clicking and browsing actions, dramatically reducing the time required to locate and access target files.
Solution Approach 2:
The system uses handwriting recognition results as feedback to automatically generate search queries and retrieve relevant files. This feedback loop allows the system to continuously refine and present the most relevant files based on the recognized handwriting content, minimizing retrieval time while ensuring accurate file access.
3Reliability
If users repeatedly change retrieval conditions to find target files, then they can locate desired documents, but the operation complexity increases
Solution Approach 1:
The system automatically manages the complexity of retrieval operations by using handwriting recognition results to generate and execute search queries. Users simply need to provide handwriting input, and the system handles all subsequent retrieval condition adjustments, file filtering, and presentation, eliminating the need for users to understand or manipulate complex search parameters.
Data Source
AI summary
According to one embodiment, an electronic device includes a processor and a display controller. The processor acquires one or more first related data associated with a first content, when displaying a file containing the first content. The display controller displays the file containing the first content and the one or more first related data. The processor acquires one or more second related data associated with a second content, when a content of the file is updated from the first content to the second content. The display controller updates the display to display a file containing the second content and the one or more second related data based on the update of the content of the file from the first content to the second content.