Utterance Coordinate Mapping for Readable Dialogue Relevance
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Solution Overview
Problem
Existing speech recognition systems struggle to display utterance contents in a way that allows easy reading of relevance between multiple utterances, requiring high skill and making it difficult for beginners to follow dialogues.
Innovation Solution
A conversion device that includes a character conversion unit, selection unit, and coordinate conversion unit to automatically arrange utterance contents in a two-dimensional space based on meaning relevance and participant reactions, facilitating easy reading of dialogue content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If speech recognition system displays only utterance contents as character information, then the system is simple and easy to implement, but it is difficult to read the relevance between multiple utterance contents
Solution Approach 1:
The patent applies dimensionality change by transitioning from one-dimensional linear display of utterance contents to two-dimensional spatial arrangement. Utterance contents are positioned on a screen based on their semantic relevance and temporal relationships, creating a visual map that preserves contextual connections while adding spatial dimension to the display.
Solution Approach 2:
The patent segments the display into multiple functional regions: utterance content display areas, reaction indicator areas, and coordinate positioning systems. Each utterance is divided into displayable character information with associated metadata about reactions and relevance, allowing systematic organization of complex dialogue information.
2Ease of operation
If facilitator manually groups sticky notes to advance dialogue, then relevance between utterance contents can be easily grasped, but high skill is required and it is difficult for beginners
Solution Approach 1:
The system implements self-service by automatically performing the facilitator's grouping and organization tasks. The speech recognition system autonomously analyzes utterance contents, determines their relevance relationships, and arranges them spatially without requiring manual intervention or specialized facilitation skills from users.
Solution Approach 2:
The patent replaces the mechanical manual process of grouping physical sticky notes with an automated computational system. The mechanical action of manually organizing information is substituted by algorithmic processing that automatically detects and visualizes relationships between utterances through coordinate-based positioning.
3Loss of information
If multiple utterance contents are displayed in linear fashion, then the display is simple, but the cognitive load increases and relevance is difficult to read
Solution Approach 1:
The patent reduces cognitive load by adding spatial dimension to the display arrangement. Instead of linear sequential presentation, utterance contents are positioned in two-dimensional space according to their semantic relationships, allowing participants to visually grasp connections and contexts more efficiently through spatial proximity and grouping.
Data Source
AI summary
A conversion device includes a character conversion unit that converts input information into character information, a selection unit that selects character information to be displayed from one or more pieces of the character information obtained by the character conversion unit, and a coordinate conversion unit that converts the character information selected by the selection unit into coordinates corresponding to a display position of the character information.