Embedded Document Editor GUI Customization for Low-Latency Integration
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Solution Overview
Problem
Existing electronic document processing applications integrated into third-party platforms lack customization capabilities, leading to inefficient use of network bandwidth, computer processing resources, and increased latency, while also failing to provide seamless integration with third-party data storage.
Innovation Solution
A customizable graphical user interface (GUI) is provided by a cloud-based storage system, allowing third-party platforms to select desired features, with a script generating a preloaded version of the GUI in local memory for immediate use, and enabling editing of documents stored either on the cloud or the third-party platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If electronic document editing applications are integrated into third-party platforms without customization, then integration simplicity is maintained, but network bandwidth usage increases, processing resources are wasted, and latency increases
Solution Approach 1:
The system customizes GUIs by selectively including only the features and components that are locally relevant to each third-party platform and its users. This local customization approach optimizes resource usage by transmitting only necessary interface elements and data, thereby improving productivity while maintaining integration simplicity through the automated customization process.
Solution Approach 2:
The system performs preliminary customization of GUIs before they are transmitted to client devices. By pre-configuring the interface with only the necessary features for each platform, the system avoids wasting bandwidth and processing resources during runtime, thus improving productivity without complicating the integration process.
2Device complexity
If standardized GUIs are provided for all third-party platforms, then system complexity is reduced, but latency increases due to lack of optimization
Solution Approach 1:
The system performs preliminary customization of GUIs by generating platform-specific interface configurations before transmission. This advance preparation optimizes the GUI for each third-party platform, reducing latency during actual use while keeping system complexity manageable through automated generation processes.
Solution Approach 2:
The system dynamically adapts GUI configurations to match the specific characteristics and requirements of each third-party platform. This dynamic customization reduces latency by providing optimized interfaces tailored to each platform's performance characteristics, while the automated adaptation process prevents excessive system complexity.
3Adaptability or versatility
If full-featured GUIs are transmitted to all clients, then functionality is maximized, but storage and memory usage increase
Solution Approach 1:
The system customizes GUIs by including only the features and components that are locally relevant to each third-party platform and its users. This selective inclusion maximizes functionality by providing exactly the features needed while minimizing storage and memory usage by excluding unnecessary elements.
Solution Approach 2:
The system extracts and includes only the necessary features and components for each specific platform integration. By removing unnecessary GUI elements and transmitting only what is required, the system maintains full functionality for each use case while significantly reducing storage and memory consumption.
4Productivity
If customized GUIs are generated for each third-party platform, then resource optimization is achieved, but device complexity increases
Solution Approach 1:
The system performs automated self-service customization by generating platform-specific GUI configurations without requiring manual intervention. This self-automated process achieves resource optimization through tailored GUIs while preventing complexity from increasing, as the customization is handled automatically by the system itself.
Solution Approach 2:
The system performs preliminary automated customization of GUIs before deployment to clients. By pre-generating optimized configurations for each platform automatically, the system achieves resource optimization while keeping device complexity manageable through the use of automated generation processes rather than manual customization.
Data Source
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AI summary
A method receives a request of a first user of the third party platform to customize a GUI of a first electronic document editing application. The method provides the requested GUI. The method receives input of the first user for one or more GUI components associated with features of the first electronic document editing application. The method customizes the GUI of the first electronic document editing application based on the received input of the first user. The method stores the customized GUI. The method receives an indication of a request of a second user of the third party platform to manipulate an electronic document of the first electronic document type. The method provides the customized GUI of the first electronic document editing application.