Context-Aware Information Generation Using Local Service Modules
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Solution Overview
Problem
Context-aware services face challenges in accurately predicting user contexts, limiting their application in real-world scenarios despite their potential for providing convenient and necessary information.
Innovation Solution
A communication apparatus and method that includes modules for receiving, interpreting, and executing local service information to generate context-aware information, inferring user contexts, and providing relevant information based on sensed data and local service details, enhancing context-awareness through a combination of sensing information, local service data, and context-aware processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If context-aware service uses sensing information to predict user context, then the service can provide convenient information, but the accuracy of context prediction is insufficient
Solution Approach 1:
The patent combines multiple information sources including sensing information, local service information, and description information into a unified context-aware information generation system. This integration allows the system to cross-validate and supplement data from different sources, thereby improving context prediction accuracy while maintaining service versatility.
Solution Approach 2:
The patent introduces a local service information interpretation module that acts as an intermediary between raw sensing data and context prediction. This module processes and enriches sensing information with local service context, description information, and execution information, creating a more accurate representation of user context without limiting service applicability.
2Measurement precision
If context-aware service collects multiple types of information, then the service accuracy improves, but the system complexity increases
Solution Approach 1:
The patent segments the context-aware service system into distinct functional modules: a local service receiving module for acquiring local service information, a local service interpretation module for processing description information, and a context-aware information generation module for synthesizing final context data. This modular segmentation manages system complexity by assigning specific processing tasks to dedicated components while improving context awareness precision through specialized processing at each stage.
Solution Approach 2:
The patent creates a multi-functional local service interpretation module that handles multiple information types including description information, execution information, and sensing information through unified processing mechanisms. This universal module reduces overall system complexity by consolidating diverse processing functions into a single versatile component while maintaining high context awareness precision.
Data Source
AI summary
A context-aware information obtaining method and apparatus uses local service information. A communication apparatus may receive local service information associated with a location of the communication apparatus. The communication apparatus may interpret the local service information to generate context-aware information of the communication apparatus.