Information Identification System for Small Computing Devices
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Solution Overview
Problem
Users of small computing devices face difficulty in identifying desired information due to the overwhelming amount of data, despite efforts to categorize and organize it, as existing systems rely heavily on processor speed and software execution, making it challenging to provide information in a timely and user-friendly manner.
Innovation Solution
An information identification system comprising software modules such as a platform-framework, data-type, service-descriptor, first information-search, and second information-search modules, along with a user interface, that processes user input to identify and prioritize relevant data types and actions, learning user preferences to optimize information presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If information is categorized and organized using existing systems, then information structure is improved, but processor speed and software execution complexity increase
Solution Approach 1:
The system automatically learns user preferences and information access patterns without requiring manual configuration or complex software execution. The platform framework performs self-service by dynamically adapting information presentation based on observed user behavior, eliminating the need for complex categorization software while maintaining organized information structure.
Solution Approach 2:
The system changes the parameter of information presentation by dynamically adjusting what information is displayed, how it is organized, and the order of presentation based on learned user preferences. This allows the system to maintain stable information structure while avoiding complex software execution by changing presentation parameters rather than reorganizing data structures.
2Speed
If processor speed is increased to provide information quickly, then information access speed is improved, but device complexity and power consumption increase
Solution Approach 1:
The system performs preliminary action by pre-learning user preferences and information access patterns during idle periods or initial usage. This allows the system to quickly retrieve and present relevant information without requiring high processor speed during actual information access, as the heavy lifting of understanding user needs is done in advance.
Solution Approach 2:
The platform framework performs self-service by automatically learning and adapting to user behavior patterns, eliminating the need for complex real-time processing. The system serves itself by generating user profiles and preference models without requiring high-speed processors, as the learning occurs through observation rather than computation-intensive analysis.
3Quantity of substance
If all data types and actions are presented to the user, then information completeness is improved, but user ability to identify desired information deteriorates
Solution Approach 1:
The system applies local quality by presenting different information based on local user context and preferences. Instead of uniformly presenting all data types to all users, the platform framework tailors information presentation to each user's specific needs, behaviors, and context, maintaining information completeness while improving identification ease through localized customization.
Solution Approach 2:
The system uses partial action by selectively presenting only the most relevant information based on learned user preferences, rather than presenting all possible information. The platform framework identifies and prioritizes the subset of information most likely to be useful to each user, maintaining sufficient information completeness while significantly improving ease of identification by reducing unnecessary options.
Data Source
AI summary
A system and a method of retrieving information is described. In a system according to the invention, software modules may be used to provide the user with information that is most likely to be the information desired.