Automated Content Data Processing for Wireless Terminals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The processing and presentation of data with different content types on portable processor-based terminals require manual user interaction, which is cumbersome and inefficient, especially as the number of content types grows, and is not user-friendly or cost-effective for vendors.
Innovation Solution
An automated method and device for selective application processing of wirelessly received data, which extracts content data with identifiers to determine compatible applications, eliminating the need for user interaction by automatically selecting and processing the appropriate application for the content type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user interaction is used to associate retrieved data with appropriate applications, then users can process different content types, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The system automatically performs the association between retrieved data and appropriate applications without requiring user intervention. The terminal device itself identifies content types and selects compatible applications, making the system self-servicing rather than relying on manual user actions.
Solution Approach 2:
The system uses feedback from content type identification to automatically select and initiate the appropriate application. The identification result feeds back into the application selection process, creating an automated closed-loop system that resolves the contradiction between ease of operation and time consumption.
2Adaptability or versatility
If the number of content types increases to provide more information services, then information provision is enhanced, but the complexity of manual association increases
Solution Approach 1:
The system segments the complex association task into two independent parts: content type identification and application selection. By separating these functions, the system can handle multiple content types without increasing overall complexity, as each segment operates independently with clear input-output relationships.
Solution Approach 2:
Content type identification acts as an intermediary between data retrieval and application selection. This mediator component translates diverse content types into standardized identification results, which then guide application selection, thereby managing complexity while supporting versatile information services.
3Extent of automation
If automated application selection is implemented, then user interaction is minimized, but the terminal device must perform additional processing steps
Solution Approach 1:
The system performs preliminary content type identification before application selection. By preparing and identifying content types in advance, the automated selection process becomes simpler and more efficient, as the terminal device already has the necessary information ready when application selection is needed.
Data Source
AI summary
The present invention provides a method for automated application-selective processing of data by a portable processor based terminal device and the portable processor based terminal device enabled to perform the aforementioned method. The data is receivable wirelessly from an external counterpart data provision entity. One or more content data is extracted from the wirelessly received data. Then it is checked whether an application, which is currently carried out on the portable processor based terminal device, is applicable or compatible with the one or more content data and in case a content data is applicable with the current running application, the content data is supplied to the application, which processed on the supplied content data accordingly.


