Intelligent Elision for Handheld Text Summarization

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Solution Overview

Problem

Handheld electronic devices face challenges in presenting summaries due to limited screen space, often truncating important text, which requires users to open messages for complete information.

Innovation Solution

An intelligent elision routine that uses standard and non-standard abbreviations to reduce text strings to fit within the allotted space on the screen, incorporating language objects, abbreviation objects, and preference objects to create abbreviated text strings while preserving essential information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If text summaries are truncated to fit limited screen space, then more messages can be displayed at once, but important information is lost and users must open messages to see complete content

Engineering Contradiction:
Improvenumber of messages displayedVSAvoidcomplete subject information
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent segments text into meaningful linguistic units (words, phrases, sentences) and selectively displays them based on importance and space constraints. The intelligent elision routine identifies and preserves key information segments while omitting less critical portions, allowing comprehensive information display within limited screen real estate.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the parameter of text representation by applying intelligent elision algorithms that transform complete text into abbreviated forms while preserving meaning. The system dynamically adjusts text length, font size, and formatting parameters to optimize information density within the fixed screen dimensions, ensuring both productivity and information completeness.

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If full text summaries are displayed, then complete information is provided, but the number of messages that can be shown on screen is reduced

Engineering Contradiction:
Improvecomplete subject informationVSAvoidnumber of messages displayed
Core Design Contradiction:
Loss of informationVSProductivity

Solution Approach 1:

The patent implements dynamic text adjustment where the display format changes based on available screen space and message priority. The intelligent elision routine dynamically calculates optimal text length and formatting for each message, transitioning between full display and abbreviated display modes to maintain both information completeness and high message density on screen.

Inventive Principle:
Principle #15Dynamics

3Area of stationary object

If standard truncation is used to shorten text, then screen space is optimized, but the resulting text is often meaningless or incomplete

Engineering Contradiction:
Improvescreen space utilizationVSAvoidmeaningful content
Core Design Contradiction:
Area of stationary objectVSLoss of information

Solution Approach 1:

The patent incorporates feedback mechanisms where the intelligent elision routine continuously evaluates the abbreviated text to ensure it retains meaningful content. The system monitors display effectiveness and adjusts elision parameters based on user interaction patterns, ensuring that truncated text remains informative and contextually relevant while maximizing screen space utilization.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8620641B2Intelligent elision
Publication Date: 2013.12.31 MALIKIE INNOVATIONS LTD
  • US8620641B2 patent drawing
  • US8620641B2 patent drawing
  • US8620641B2 patent drawing

AI summary

A user interface routine includes an intelligent elision routine having a plurality of language objects, plurality of abbreviation objects, and a plurality of preference objects. Each language object that has an associated abbreviation object and preference object is an abbreviatable language object. The user interface routine and/or the intelligent elision routine is structured to determine a text field's length, also identified as a limited space, receive a text string and replace selected language objects in the text string with the associated abbreviation objects to create an abbreviated text string. The process is, preferably, repeated on the abbreviated text string until the abbreviated text string is shorter than the limited space or until no more abbreviatable language objects are in the text string.