Image Forming Device Proposal Processing Prediction
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Solution Overview
Problem
Users of image forming devices face increased operational burden and time consumption due to the need for manual input operations when selecting functions, especially when the device predicts functions based on historical job data that may not align with the user's intended actions, particularly in low-frequency usage scenarios or when executing jobs different from past history.
Innovation Solution
An image forming device equipped with a document and sheet information acquirer, a prediction condition storage, and a processing predictor that generates proposal processing information based on the detected document and print sheet, allowing for automatic presentation of intended functions to the user, thereby reducing the need for manual input and streamlining the operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device displays a screen with predicted processing content based on job history information, then the input operation burden is reduced for common tasks, but the device complexity increases and the prediction may not be useful when the user intends to execute a different job
Solution Approach 1:
The device automatically detects the document size and presents the predicted processing content without requiring user input for these parameters. The system serves itself by using its own detection capabilities and stored job history to generate predictions, reducing the need for user intervention while managing complexity through automated self-service mechanisms
Solution Approach 2:
The device performs preliminary detection of document size and preliminary presentation of predicted processing content before the user actually executes the job. By anticipating the user's needs based on job history and presenting options in advance, the system reduces subsequent input operations while the user retains the ability to modify or reject predictions
2Productivity
If the device uses job history information to predict the next job, then common tasks are automated, but the prediction accuracy decreases when the user executes uncommon or different types of jobs
Solution Approach 1:
The device applies partial automation by predicting only certain aspects of the job (document size, basic processing content) while leaving other aspects open for user specification. This partial prediction approach maintains productivity for common tasks while avoiding incorrect predictions for uncommon jobs, as the user can still override or modify the predicted content
Solution Approach 2:
The prediction system dynamically adapts based on the detected document characteristics and stored job history. When the detected document matches patterns from previous jobs, the prediction is more confident and useful. When the document is unusual or doesn't match historical patterns, the system presents fewer or more generic predictions, allowing the user to provide specific instructions without being constrained by inaccurate predictions
Data Source
AI summary
An image forming device includes a document information acquirer that acquires information related to a document, a sheet information acquirer that acquires information related to a print sheet, a storage that stores, in advance, information related to the document and the print sheet, and prediction condition information including proposal processing associated with the document and the print sheet, a processing predictor that acquires, based on the information related to the document and the information related to the print sheet acquired by using the prediction condition information, proposal processing associated with the placed document and the print sheet, and a proposal processing generator that generates information related to the proposal processing to be presented to a user based on the acquired proposal processing. When the user places a document and a print sheet, the proposal processing is acquired and presented to the user.