Unit Candidate Evaluation for Accurate Numeric Data Input

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Solution Overview

Problem

Existing data input systems struggle with accurately converting and presenting appropriate units for numerical values, especially when multiple unit candidates are possible, leading to errors and cumbersome user conversions, particularly with complex physical quantities like density and specific heat.

Innovation Solution

An information processing system and method that evaluates input values against multiple unit candidates, calculates a score for appropriateness, and displays alternative units to facilitate correct conversion to a standard unit, with user-friendly prompts for correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional error detection methods are used to detect and convert unit errors, then basic error correction is achieved, but the system cannot accurately estimate and present the originally intended unit when multiple unit candidates exist

Engineering Contradiction:
Improveunit estimation accuracyVSAvoidoriginal intent information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system performs preliminary evaluation of multiple unit candidates before final conversion, calculating appropriateness scores for each candidate based on the input value and contextual information. This preliminary analysis allows the system to present the most likely intended unit to the user before making any conversions, thereby preserving original intent information while preparing for accurate correction.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system provides feedback to the user by displaying alternative unit candidates with their appropriateness scores when an input value is entered. This feedback mechanism allows users to see what units were considered and why certain units are more appropriate, enabling informed correction decisions while maintaining accuracy in unit estimation.

Inventive Principle:
Principle #23Feedback

2Productivity

If automatic unit conversion is performed without presenting alternatives, then processing efficiency is improved, but user awareness and control over the conversion process are reduced

Engineering Contradiction:
Improvedata input efficiencyVSAvoiduser control
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The system dynamically adapts its behavior based on the evaluation results. When unit errors are detected, it presents alternative unit candidates to the user for review. When no errors are detected or the user confirms the conversion, the system automatically proceeds with the conversion. This dynamic approach balances user control with processing efficiency.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system performs partial action by presenting only the top alternative unit candidates with highest appropriateness scores rather than all possible units. This selective presentation maintains user control while avoiding information overload, and allows efficient processing by focusing on the most likely intended units.

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If multiple unit candidates are evaluated and presented, then unit estimation accuracy is improved, but system complexity increases

Engineering Contradiction:
Improveunit evaluation accuracyVSAvoidsystem structure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the unit evaluation process into distinct components: collecting unit candidates, evaluating each candidate's appropriateness based on input values and contextual information, ranking candidates by score, and presenting results. This segmentation allows the complex evaluation process to be managed through modular, independent functions that can be implemented and maintained separately.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system uses parameter changes in the form of appropriateness scores to evaluate and rank unit candidates. By converting qualitative unit matching into quantitative scoring based on input values, data types, and contextual parameters, the system manages complexity through mathematical relationships rather than complex rule-based logic.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20260073119A1Information processing system and information processing method
Publication Date: 2026.03.12 CANON KK
  • US20260073119A1 patent drawing
  • US20260073119A1 patent drawing
  • US20260073119A1 patent drawing

AI summary

An information processing system comprising: an input portion configured to receive, as input to a main storage device that stores data including an attribute having a unit, input information comprising numeric data for the attribute; an arithmetic portion, configured to evaluate, based on the input information and unit information, whether the numeric data is appropriate when regarded as being expressed in each of the plurality of unit candidates, wherein the unit information includes information on a plurality of unit candidates that may be assigned to the attribute, information on a specified unit of the attribute that is selected from the plurality of unit candidates, and information on conversion from the plurality of unit candidates to the specified unit; and the display portion configured to display, on a display device, a unit candidate, which differs from the specified unit, from among the plurality of unit candidates that are evaluated as appropriate.