Proofreading Apparatus Input Mode Selection
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Solution Overview
Problem
Existing electronic proofreading systems face inefficiencies in selectively using multiple input modes for annotative information, particularly when addressing homonym errors in Japanese language, as speech-based inputs fail to accurately convey corrective instructions due to pronunciation differences, while handwriting and typing methods are more effective but time-consuming to switch between.
Innovation Solution
A proof information processing apparatus and method that includes a region-of-interest indicator and a mode selector, allowing users to choose input modes based on image characteristics, enabling efficient selection and use of speech, text, image, and color information inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech-based input mode is used for annotative information, then input speed increases and hands-free operation is enabled, but accuracy deteriorates due to pronunciation differences in homonym errors
Solution Approach 1:
The system introduces an intermediary mechanism (image recognition and analysis function) that processes the visual characteristics of the proof image to automatically determine the appropriate input mode. This mediator bridges the gap between speech input speed and text input accuracy by selecting the most suitable input mode based on image characteristics, thereby resolving the contradiction between productivity and measurement precision.
Solution Approach 2:
The system dynamically changes the input mode parameter based on the analyzed characteristics of the proof image. When the image contains text or characters requiring precise correction, the system switches to text or handwriting input mode; when the image is suitable for speech input, it enables speech-based annotation. This parameter change strategy optimizes both input speed and accuracy according to the specific context.
2Adaptability or versatility
If multiple input modes are made selectable, then adaptability improves for different proofreading scenarios, but device complexity increases
Solution Approach 1:
The system implements self-service by automatically analyzing the proof image characteristics and determining the most appropriate input mode without requiring manual user intervention. The image analysis function autonomously evaluates the proof image and selects the optimal input mode (speech, text, or handwriting), thereby providing adaptability while minimizing the complexity burden on the user.
Solution Approach 2:
The system performs preliminary action by pre-analyzing the proof image characteristics before the user begins annotative information input. The image analysis function evaluates the proof image in advance and pre-determines the suitable input mode, so when the user needs to input corrective instructions, the appropriate mode is already selected, reducing the perceived complexity during the actual proofreading process.
3Productivity
If automatic mode selection based on image characteristics is implemented, then proofreading efficiency increases, but loss of time occurs during image analysis
Solution Approach 1:
The system ensures continuity of useful action by performing image analysis in the background or concurrently with other proofreading activities. The image analysis function operates continuously or in parallel with the user's review process, so that when the user is ready to input annotative information, the appropriate mode is already determined, minimizing the perceived time loss and maintaining continuous productive workflow.
Data Source
AI summary
A proof information processing apparatus adds a plurality of types of annotative information to a proof image by use of a plurality of input modes for inputting respective different types of annotative information. A proof information processing method is carried out by using the proof information processing apparatus. A recording medium stores a program for performing the functions of the proof information processing apparatus. An electronic proofreading system includes the proof information processing apparatus and a remote server. At least one of input modes including a text input mode, a stylus input mode, a color information input mode, and a speech input mode is selected depending on characteristics of an image in a region of interest which is indicated.


