Handwritten Language Detection for Multi-Function Device Interface Localization
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Solution Overview
Problem
Multi-function devices are often configured with a default language that can be difficult for users who do not speak that language to operate, leading to user discomfort and errors when trying to change the language manually or through voice feedback, especially for users with disabilities or unclear accents.
Innovation Solution
A method and system that allows users to input a pre-defined phrase in their local language, using hand-written recognition techniques to identify the language and automatically change the device's interface to the user's native language, providing options in their understood language.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device is configured with a default language (e.g., Japanese), then it is easy for local people to operate the device, but it becomes difficult for users who do not understand that language to operate the device
Solution Approach 1:
The system automatically detects the user's language by analyzing hand-written input on the touch screen and autonomously changes the interface language without requiring the user to manually navigate through language settings menus. This self-service approach resolves the contradiction by making the device adapt to the user's language automatically, maintaining ease of operation for local users while gaining adaptability to foreign language users.
Solution Approach 2:
The system provides pre-defined phrases in multiple languages that users can write to initiate language detection. By preparing these phrases in advance and having the system recognize them, the device can quickly switch languages before the user even needs to interact with the interface, resolving the contradiction between maintaining a default language and adapting to user language preferences.
2Adaptability or versatility
If manual language selection options are provided, then users can change the language, but the process involves reading through manuals and manually selecting language which is time consuming and may result in errors
Solution Approach 1:
The system replaces the manual mechanical process of navigating through menus and selecting language options with an automated optical recognition system. Users simply write their name or any text in their language on the touch screen, and the system's optical character recognition automatically identifies the language and switches the interface, eliminating the time-consuming manual selection process while maintaining language adaptability.
Solution Approach 2:
The language detection and switching process is entirely automated through self-service. The system detects the user's language by analyzing hand-written input and automatically changes the interface language without requiring the user to read manuals or navigate through language selection menus, thus eliminating time loss while maintaining adaptability.
3Ease of operation
If voice feedback is used to change language, then language can be changed more easily, but it becomes difficult if the user is disabled or has unclear accent
Solution Approach 1:
The system replaces the acoustic voice recognition mechanism with visual hand-written recognition on the touch screen. Users write their name or text in their language using their finger or stylus on the touch-sensitive display, and the system's optical character recognition identifies the language. This substitution makes the system reliable for users with speech disabilities while maintaining ease of operation through the simple writing action.
Data Source
AI summary
The disclosure provides methods and systems for localizing a user interface of a multi-function device, the multi-function device is configured with a default language. The method includes receiving a pre-defined phrase from a user via the user interface of the multi-function device, the phrase is written in a local language of the user. Based on the received phrase, the phrase is analyzed to identify the local language of the user using one or more hand-written recognition techniques. Then, the local language is retrieved for presenting to the user. A language change option is presented to the user based on the identified local language of the user. Thereafter, the user interface is localized by changing the default language of the user interface to the local language. Finally, one or more options are presented to the user in the local language of the user.