Job Execution Control Device Warning Generation for Output Quality
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Solution Overview
Problem
Conventional techniques fail to inform users about jobs that have been normally executed but result in unsatisfactory products, leading to a need for re-execution, and also register incorrect words in speech recognition systems, affecting processing quality.
Innovation Solution
A job execution control device with a job executor, display controller, operation history recorder, and warning condition generator that presents warning information to users about executed jobs that may require re-checking or re-execution, based on execution and operation histories, and improves speech recognition by selectively registering user-corrected words.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional techniques are used to make users aware of abnormally executed jobs, then users can be informed of execution failures, but users cannot be made aware of jobs that were normally executed but produced unsatisfactory results
Solution Approach 1:
The system implements feedback by analyzing user operations (corrections, deletions, additions) on job results and generating warning information. When users modify speech recognition results or job outputs, the system learns from these operations and generates warnings for similar future cases, creating a closed-loop feedback mechanism that improves information quality about job execution results.
Solution Approach 2:
The system performs preliminary analysis of user operations and generates warning conditions in advance. By analyzing operation histories and predicting potential quality issues before job execution, the system can proactively warn users about likely unsatisfactory results, allowing users to take preventive actions rather than reacting to problems after they occur.
2Adaptability or versatility
If user-corrected words are automatically registered in the word dictionary, then the system adapts to user preferences, but incorrect words are registered which adversely affect speech recognition processing
Solution Approach 1:
The system uses feedback from multiple user operations to determine whether to register corrected words. By analyzing patterns in user corrections across different contexts and jobs, the system can distinguish between legitimate vocabulary additions and erroneous corrections, thereby adaptively improving the dictionary while maintaining recognition accuracy.
Solution Approach 2:
The system performs preliminary validation of user-corrected words before automatic registration. By checking whether corrected words appear frequently in user operations and meet certain criteria, the system can pre-filter potential dictionary additions, ensuring that only high-quality corrections are registered while blocking potentially harmful entries.
3Loss of information
If warning information is generated based on execution history and operation history, then users can be informed of potential quality issues, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using the same operation history data for multiple purposes: improving speech recognition, generating job quality warnings, and training warning condition generation models. This universal use of data reduces overall system complexity compared to implementing separate specialized systems for each function.
Solution Approach 2:
The system merges the speech recognition improvement function and the job quality warning function into a unified framework. Both functions share the same operation history analysis mechanism and warning condition generation model, reducing redundancy and simplifying the overall system architecture while providing multiple benefits from a single integrated system.
Data Source
AI summary
According to an embodiment, a job execution control device controls execution of a job for receiving input data, applying processing thereto, and outputting output data. The device includes a job executor, a controller, a recorder, and a generator. The job executor executes a job and record a job execution history including the input and output data. The controller displays, on a display, a job screen for presenting information on the executed job to a user and for receiving a user operation for re-executing the executed job. The recorder records a job operation history regarding the user operation through the job screen. The generator generates a warning condition for input or output data of a job based on the histories. The controller appends to the job screen warning information associated with an executed job the input or output data of which satisfies the warning condition, among executed jobs.