Form Data Grouping via Attribute Change Feedback

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Solution Overview

Problem

Existing form data grouping techniques face challenges in accuracy, leading to high user workload due to incorrect or missed attribute identification, making manual correction time-consuming.

Innovation Solution

An information processing apparatus that automatically re-groups form data based on changes in attributes and form definition information, reducing user workload by dynamically adjusting groupings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic grouping of form data is performed based on recognition results, then grouping efficiency is improved, but grouping accuracy deteriorates due to incorrect attribute identification

Engineering Contradiction:

Improvegrouping efficiencyVSAvoidgrouping accuracy

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system implements feedback by detecting ungrouped form data that should belong to existing groups and notifying users of these mismatches. Users can then review and correct the grouping, creating a feedback loop that improves accuracy while maintaining automated efficiency. The notification mechanism allows users to verify recognition results and make corrections only where needed.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs self-service by automatically detecting and notifying users about form data that should be regrouped based on updated form definitions. The system identifies mismatches between current groupings and expected groupings, then presents these to users for confirmation or correction, reducing the need for comprehensive manual review.

Inventive Principle:

Principle #25Self-service

2Manufacturing precision

If manual correction of form grouping is performed, then grouping accuracy is improved, but user workload and time consumption increase

Engineering Contradiction:

Improvegrouping accuracyVSAvoidtime for manual correction

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system extracts only the problematic cases - form data that should be regrouped based on updated form definitions - and presents these separately to users for correction. Instead of requiring users to review all form data, the system isolates and notifies only those items that need attention, significantly reducing the time and effort required for manual correction.

Inventive Principle:

Principle #2Taking out (Extraction)

3Measurement precision

If form recognition accuracy is increased through more rigorous processing, then attribute identification accuracy is improved, but processing time increases

Engineering Contradiction:

Improveattribute recognition accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies partial action by performing comprehensive form recognition initially to establish groupings, then later applying targeted verification only to cases where form definitions have changed or where regrouping is detected. This avoids the need for continuously rigorous processing of all form data, reducing overall processing time while maintaining accuracy where it matters most.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20220197444A1Information processing apparatus and non-transitory computer readable medium

Publication Date: 2022.06.23 FUJIFILM BUSINESS INNOVATION CORP

AI summary

An information processing apparatus includes a processor configured to: with multiple pieces of form data having attributes of forms being grouped in accordance with form definition information that defines groups respectively with the attributes, receive a change of an attribute of an ungrouped piece of the form data; and re-group the form data in accordance with an attribute responsive to the change and the form definition information.