Content-Based Application Selection via Characteristic Analysis
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Solution Overview
Problem
Users face difficulty in quickly selecting a target application from a long list of installed applications to send or forward content, as existing methods require manual navigation without an efficient filtering mechanism based on content characteristics.
Innovation Solution
An apparatus and method that utilize a processor and memory to determine characteristics of content elements, such as images or documents, and select appropriate applications for processing or sharing based on these characteristics, including history, location, source, and type, with options to display shortcuts or automatically send content to the selected application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a long list of available applications is displayed for manual selection, then users can choose from all installed applications, but the time required to select a target application increases significantly
Solution Approach 1:
The system performs preliminary analysis of content characteristics (image type, document format, media type) before the user needs to select an application. It pre-determines suitable target applications based on content analysis, so when selection is needed, the user is presented with a filtered list or direct suggestion rather than navigating through all installed applications.
Solution Approach 2:
The system changes the parameters for application selection by filtering and sorting the application list based on content characteristics. Instead of presenting all applications alphabetically or by installation order, the system reorders the list based on compatibility with the current content (e.g., placing image editing applications at the top when an image is selected for sharing).
2Ease of operation
If manual navigation through the application list is required, then users have full control over selection, but the ease of operation decreases when the list becomes long
Solution Approach 1:
The system provides self-service by automatically analyzing content characteristics and suggesting or selecting appropriate target applications without requiring user intervention in the selection process. The system serves itself by determining the most suitable application based on content type, reducing the burden on the user to manually navigate and select from lengthy lists.
Solution Approach 2:
The system introduces an intermediary layer between the content and the application list. This intermediary is the content characteristic analysis mechanism, which acts as a filter and mediator to translate content properties into suitable application recommendations, simplifying the user's task of finding the right application.
3Productivity
If content characteristics are analyzed to auto-select applications, then the speed of content sharing improves, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The system implements multi-functionality by using a single content analysis module to handle various content types (images, documents, media) and automatically determine appropriate target applications. This universal approach consolidates complexity into one dedicated component rather than requiring separate analysis mechanisms for each content type, improving sharing speed while managing system complexity.
Data Source
AI summary
Apparatuses, systems, methods, and program products are disclosed for selecting a target application based on content. A content module receives a content element. A characteristic module determines one or more characteristics of the content element. A selection module selects an application to receive the content element based on the one or more characteristics of the content element.