Learning Model Recommends Operations for Electronic Content

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Users face difficulty in selecting appropriate operations for electronic content due to the numerous options available, leading to confusion when interacting with electronic content.

Innovation Solution

An information processing apparatus that utilizes a learning model trained with state and operation data to predict and recommend operations for electronic content, notifying the user of the recommended actions based on past interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple operations are provided for electronic content, then functionality and versatility are improved, but user confusion and difficulty in selection increase

Engineering Contradiction:

Improveoperation optionsVSAvoiduser selection difficulty

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically determines and notifies the user of the operation to be executed based on the state of the electronic content, eliminating the need for the user to manually select from multiple operations. The apparatus serves itself by using the learning model to predict the appropriate operation and presenting it to the user for confirmation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The learning model analyzes the state of the electronic content and provides feedback by predicting the appropriate operation to execute. This feedback mechanism helps the user understand what operation should be performed next, reducing confusion and improving ease of operation while maintaining functionality.

Inventive Principle:

Principle #23Feedback

2Ease of operation

If the system notifies the user of the operation to be executed, then ease of operation is improved, but device complexity increases

Engineering Contradiction:

Improveuser notificationVSAvoidsystem complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces manual user selection mechanisms with an automated learning model that predicts operations based on content state. This substitution reduces the operational burden on users while the system handles the complexity of determining appropriate operations through the learning model and notification mechanisms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20240319844A1Information processing apparatus, non-transitory computer readable medium storing information processing program, and information processing method

Publication Date: 2024.09.26 FUJIFILM BUSINESS INNOVATION CORP

AI summary

An information processing apparatus includes a processor configured to specify a recommended operation that is an operation to be performed with respect to target content that is electronic content operated by a user, by inputting state information indicating a state of the target content into a learning model that is trained to predict and output an operation to be performed with respect to the electronic content based on a state of the electronic content using training data including state information indicating the state of the electronic content and operation information indicating an operation performed in the past with respect to the electronic content, and notify the user of the recommended operation.