Intelligent Data Truncation for Limited Display Space
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Solution Overview
Problem
When display space is limited, existing systems often cannot display all data elements in their entirety, leading to the elimination of important information that users want to view.
Innovation Solution
The system identifies less important data elements, reduces their display space, and truncates them meaningfully to fit within the available space, while preserving more important elements in their entirety, using techniques such as truncating textual descriptions and adjusting path element sizes based on relative importance and hierarchy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all data elements are displayed in their entirety, then information completeness is improved, but display space consumption increases
Solution Approach 1:
The patent segments data elements into different importance levels (important vs. less important), allowing differential treatment in display. Important elements are displayed in full while less important elements are truncated, resolving the contradiction between information completeness and space efficiency.
Solution Approach 2:
The patent applies different display qualities to different parts of the data set. Important data elements receive full display treatment while less important elements receive truncated treatment, optimizing the overall display by making local quality adjustments based on element importance.
2Area of stationary object
If display space is reduced to fit more elements, then space utilization is improved, but information quality deteriorates
Solution Approach 1:
By segmenting elements based on importance, the patent can reduce space consumption through truncation of less important elements while preserving information quality for important elements, thus improving space utilization without uniformly degrading information quality.
Solution Approach 2:
The patent changes the display parameter (truncation level) based on the importance parameter of each element. This allows flexible adjustment of information presentation to optimize space utilization while maintaining acceptable information quality through selective truncation.
3Loss of information
If important information is preserved in full, then information quality is improved, but display space consumption increases
Solution Approach 1:
The patent separates data elements into important and less important categories, allowing important elements to be displayed in full (preserving information quality) while less important elements are truncated to conserve space, thus resolving the contradiction between information quality and space consumption.
Solution Approach 2:
The patent applies high display quality (full display) locally to important elements while applying reduced quality (truncation) to less important elements, optimizing the balance between information quality preservation and space consumption.
Data Source
AI summary
A set of elements, such as, for example, a path, a directory list, a playlist, and a listing of information associated with a file or a song, may be truncated so that a partial set may be generated and displayed. The truncation may be performed in an intelligent manner to produce a meaningful truncated portion. Such a partial set may be beneficial when the space allotted for display of the set is small to begin with or is reduced. In one implementation, a display size of a set is compared with a size of a display area. A data element is selected based on the comparison, and a display space size is determined for the selected data element. A truncated, yet meaningful, portion is determined for the selected data element, the portion fitting within the display space size.