Character Input Device With Fingerprint Authentication
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Solution Overview
Problem
Existing character input technologies on mobile communication terminals fail to adequately protect user privacy, as learned characters can be inadvertently displayed as prediction candidates, compromising security when multiple users share the device.
Innovation Solution
Implementing a character input device with fingerprint authentication that conceals private information candidates during input and selection, ensuring only authorized users can access and output private data, while maintaining efficient character input operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the learning function is enabled to improve character input efficiency, then character input speed is improved, but user privacy is compromised due to exposure of learned private information
Solution Approach 1:
The patent segments the character input system into multiple independent components: a learning function module that captures repeated character inputs, a fingerprint authentication module that verifies user identity, and a prediction candidate display module that selectively shows learned characters. This segmentation allows the system to maintain the learning function for efficiency while adding authentication controls to protect privacy, resolving the contradiction between productivity and information security.
2Loss of information
If fingerprint authentication is added to protect privacy, then user privacy is improved, but device complexity increases
Solution Approach 1:
The patent merges the fingerprint authentication function with the existing character input system by integrating the authentication check into the prediction candidate display process. When a user inputs characters, the system automatically performs fingerprint authentication and conditionally displays learned character candidates based on authentication results. This merging approach adds privacy protection without requiring a completely separate authentication system, thereby limiting the increase in device complexity.
3Productivity
If learned characters are always displayed as prediction candidates to improve input efficiency, then character input efficiency is improved, but security is worsened when multiple users share the device
Solution Approach 1:
The patent implements a dynamic prediction candidate display mechanism where the visibility of learned character candidates is not fixed but changes based on real-time fingerprint authentication results. When authentication succeeds, learned candidates are displayed to maintain input efficiency; when authentication fails or the device is shared, learned candidates are hidden to ensure security. This dynamic adjustment resolves the contradiction between efficiency and security by adapting the system behavior to the current usage context.
Data Source
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AI summary
Character input that takes privacy protection into account is efficiently performed. A character input device 10 is provided with an operation unit 100 that accepts key input and displays and accepts selection of a prediction candidate according to the result of the key input, and a character input determining unit 110 that determines an input character, using the result of the key input or the selection result of the prediction candidate. Also, the character input determining unit 110 executes fingerprint authentication at the time of accepting the key input or the time of selecting the prediction candidate.