Mobile Terminal Content Analysis and Icon-Based Response Generation
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Solution Overview
Problem
Users of mobile terminals face inconvenience due to the repetitive input of similar data, as current systems lack efficient methods for analyzing and responding to content-based inputs, leading to inefficient data entry processes.
Innovation Solution
A mobile terminal equipped with a display unit, an analysis unit, and a controller that analyzes content components, outputs relevant icons, and controls the display to provide text-based responses through touch inputs, enabling efficient data entry by generating and arranging text based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually input data for content responses, then data entry is possible, but repetitive input increases time consumption and reduces efficiency
Solution Approach 1:
The system performs preliminary analysis of the received content to identify key information, entities, and semantic components before the user needs to respond. This pre-processing enables the generation of candidate response texts that are ready for user selection, eliminating the need for users to manually compose responses from scratch each time.
Solution Approach 2:
The system extracts and reuses key information, entities, and phrasing patterns from the original content to generate candidate response texts. Instead of requiring users to create entirely new responses, the system copies and adapts relevant portions of the input content into structured response options that users can selectively modify or send as-is.
2Ease of operation
If the system analyzes content to generate response options, then repetitive input is reduced, but system complexity increases
Solution Approach 1:
The content analysis function is divided into distinct modules: semantic component extraction, entity recognition, key information identification, and candidate text generation. Each module handles a specific aspect of the analysis, making the overall complex process more manageable and maintainable while providing clear separation of concerns in the system architecture.
Solution Approach 2:
The system introduces an intermediary processing layer between content reception and user response. This intermediary analyzes the input content, extracts meaningful components, and generates structured candidate responses that bridge the gap between raw content and user-friendly response options, simplifying the user's interaction task.
3Manufacturing precision
If the system provides structured text output based on content analysis, then natural sentence-structured responses are achieved, but processing time increases
Solution Approach 1:
The system generates multiple candidate response texts with varying levels of completeness and structure. Rather than producing a single perfectly structured response, it provides several options ranging from concise to detailed, allowing users to select the most appropriate one for their needs, thus balancing processing time with output quality.
Solution Approach 2:
The system adjusts parameters such as response length, formality level, and structural complexity based on the analyzed content characteristics and user preferences. By dynamically changing these parameters, the system can optimize the balance between processing time and text quality, generating appropriately structured responses without always requiring maximum processing effort.
Data Source
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AI summary
A mobile terminal is provided that includes a wireless communication unit, a display unit and a controller. The display unit is configured to display a first content including one or more constituent units that contain at least one respective semantic component. The controller is configured to analyze the one or more constituent units and respective semantic components. The controller is further configured to display icons corresponding to the respective constituent units of the first content. The controller is also configured display text related to the content on the display unit responsive to a touch input applied to an icon from among the icons corresponding to the respective constituent units of the first content.