Conversion Word Candidate Synchronization Across Devices
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Solution Overview
Problem
Users with multiple terminal devices, such as smartphones and tablets, experience inconsistencies in kana-kanji conversion candidates due to separate learning and updating frequencies, leading to differing priorities and confusing user experiences when switching devices.
Innovation Solution
A terminal device with a processor that synchronizes learning dictionaries between devices by transmitting candidate groups with changed display ranks if they fall within a predetermined range, ensuring consistent candidate lists across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If learning dictionaries are updated separately on each terminal device, then each device can learn from its own usage history, but the conversion candidate priorities become inconsistent across devices causing user confusion
Solution Approach 1:
The patent merges the learning dictionaries of multiple terminal devices by synchronizing conversion candidate priorities across devices. When a candidate priority changes on one device, the change is transmitted to and applied on other devices, ensuring consistent conversion experiences across the user's device fleet while preserving individual learning capabilities.
2Reliability
If all conversion candidate changes are synchronized immediately, then consistency is maintained across devices, but power consumption increases due to frequent communication
Solution Approach 1:
The patent implements periodic synchronization by transmitting conversion candidate priority changes only at specific intervals or when certain conditions are met, rather than continuously. This reduces communication frequency and power consumption while maintaining adequate consistency across devices.
Solution Approach 2:
The patent monitors changes in conversion candidate priorities and triggers synchronization only when parameters exceed predetermined thresholds or ranges. This selective synchronization approach reduces unnecessary communication and power consumption while maintaining consistency when changes are significant.
3Use of energy by moving object
If learning frequency is reduced on devices with multiple terminals, then power consumption decreases, but the learning effectiveness and conversion accuracy deteriorate
Solution Approach 1:
The patent combines learning results across multiple devices by synchronizing conversion candidate priorities. This allows the system to maintain accurate conversion performance by aggregating learning data from all devices, compensating for reduced individual learning frequency while managing power consumption.
Data Source
AI summary
A terminal device includes: a memory that stores a candidate group including a plurality of conversion word candidates for an input character; and a processor that, if a display rank of any candidate in the candidate group is changed, determines whether the changed display rank is included in a predetermined range of display ranks and, if the changed display rank is included in the predetermined range of display ranks, lets a communication unit transmit the candidate group including the changed display rank to another terminal device.