Mobile Communication Device Context-Aware Language Selection
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Solution Overview
Problem
Conventional mobile communication devices face challenges in organizing and presenting a large number of communication items due to their fixed user interfaces, which fail to adapt to individual user needs and contexts, leading to inefficiencies in accessing frequently used functionalities.
Innovation Solution
The method involves evaluating the context of communication to perform a probability analysis for language setting selection, utilizing information about the sender and receiver's location, previously used languages, and stored language settings to provide contextual information and adapt the user interface, allowing for efficient organization and selection of communication items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional fixed user interfaces are used to display communication items, then the device structure remains simple, but the ease of operation deteriorates due to difficulty in organizing and accessing communication items
Solution Approach 1:
The patent implements dynamic user interfaces that automatically adapt their structure and content based on user behavior patterns, communication item types, and contextual information. The interface transitions from static to dynamic, reorganizing itself without requiring complex manual configuration by the user.
Solution Approach 2:
The system performs self-organization of communication items by automatically analyzing user preferences, access patterns, and contextual data to generate optimized interface layouts. This eliminates the need for users to manually configure complex sorting and organization settings.
2Adaptability or versatility
If fixed user interfaces with predetermined menus are used, then the device complexity remains low, but the adaptability to individual user needs deteriorates
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns, communication preferences, and contextual information during idle periods or background processing. This pre-computation enables the interface to be ready with optimized configurations before the user actually needs to access communication items.
Solution Approach 2:
The system continuously monitors user interactions, access patterns, and preferences, using this feedback to dynamically adjust and personalize the user interface. The interface learns from user behavior and automatically refines its organization and presentation based on observed preferences.
3Loss of information
If conventional sorting mechanisms are used to organize communication items, then the device structure remains simple, but the loss of information deteriorates as contextual relationships between items are not preserved
Solution Approach 1:
The system changes the organizational parameters of communication items from simple chronological or alphabetical sorting to multi-dimensional parameters including user-defined categories, contextual relationships, communication type, priority levels, and temporal patterns. This enables preservation of contextual information while maintaining manageable complexity.
Data Source
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AI summary
The invention relates to a method for handling communication, wherein the method comprises the following steps: evaluating, a context of communication, performing a context-depending probabilty analysis, wherein the probabilty analysis is performed in a way, that it is evaluated, which language of the communication fittest with the highest probality to the context. The invention furthermore relates to a mobile communication device for carrying out the method.