Text Object Reshaping for Navigation Display Readability
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Solution Overview
Problem
Conventional navigation systems face challenges in displaying complete text information on small display screens due to limited space, often requiring text abbreviation or reduction in size, which compromises readability and safety.
Innovation Solution
A device and method that reshape text objects by separating them into normal and compressed areas based on semantic relevance, using a processor unit to analyze and compress text components with lower significance, allowing for dynamic size adjustment between these areas to optimize space usage without disrupting readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text objects are displayed in full size on small navigation display screens, then readability and user comprehension are improved, but the available display space is insufficient to accommodate the text information
Solution Approach 1:
The text object is divided into multiple character regions with different compression characteristics. The processor unit identifies and segments characters based on their semantic importance, applying different size reduction factors to different segments. This allows the text to be displayed completely while fitting within the limited screen area by varying the size of individual character segments.
Solution Approach 2:
Different regions of the text object are assigned different quality levels in terms of size preservation. Characters with higher semantic importance retain more of their original size, while less important characters are compressed more aggressively. This local differentiation of quality allows optimization of both space utilization and readability simultaneously.
2Area of stationary object
If text objects are compressed to fit available display space, then the display area utilization is improved, but the readability and recognizability of text information deteriorates
Solution Approach 1:
The system dynamically adjusts the size of individual character segments based on real-time analysis of semantic importance. The processor unit evaluates each character's contribution to the overall meaning and dynamically determines its display size, allowing the text to adapt to available space while maintaining readability of critical information.
Solution Approach 2:
The display parameters of character segments are changed selectively based on their semantic weight. Instead of uniform compression, the system modifies the size parameter of individual characters or character groups, creating a variable-scale text display that optimizes both space efficiency and legibility.
3Area of stationary object
If uniform compression is applied to all text components, then space utilization is improved, but the semantic importance differentiation among text components is lost
Solution Approach 1:
The text object is segmented into character regions with different semantic weights. The processor unit analyzes and identifies segments based on their contribution to the overall meaning, then applies differential compression. This segmentation ensures that semantically important components are preserved while less important ones are compressed, maintaining both space efficiency and meaning integrity.
Solution Approach 2:
Different local regions of the text are assigned different quality preservation levels based on their semantic importance. The system applies local quality control where critical characters maintain higher visual prominence while non-critical characters are compressed more aggressively, preserving the hierarchical structure of semantic information.
Data Source
AI summary
A graphic output device for generating a mixed graphic-textual depiction having at least one text object consisting of multiple letters for identifying a geographic feature, the output device comprising a processor unit, which is set up to reshape the text object in such a manner that the reshaped text object comprises, in addition to a normal text area having letters in the original size, a compressed text area having letters shrunken and/or compressed in relation to the original size, the boundary between the normal text area and the compressed text area running along a semantic jump point of the text object. A method for preparing a text object consisting of multiple letters using a processor unit, for the purpose of depicting the text object using a graphic output device.