Context-Sensitive Query Enrichment via Device Association
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Solution Overview
Problem
Current systems lack an efficient method to integrate and synchronize search parameters across multiple interface devices based on associations and movement statuses, leading to suboptimal search results and user experience.
Innovation Solution
A method and system that obtain and transmit search parameters from one interface device to another, utilizing associations and movement statuses to refine search results, including recognizing limb positions and auditory data to enhance search criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search parameters are obtained and transmitted across multiple interface devices based on associations and movement statuses, then search result relevance is improved, but device complexity increases
Solution Approach 1:
The system segments the search functionality across multiple interface devices, with each device maintaining local search parameters and context. The search system is divided into components that operate independently on each device while being coordinated through association relationships, allowing complex search functionality to be distributed rather than centralized in one complex system.
Solution Approach 2:
The patent introduces an intermediary mechanism that manages the transmission and synchronization of search parameters between devices. This intermediary layer handles the complexity of cross-device parameter coordination, allowing individual devices to remain relatively simple while still participating in sophisticated multi-device search operations through the mediating parameter transmission system.
2Measurement precision
If multiple parameters from multiple interface devices are integrated, then search accuracy is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-obtaining and storing search parameters on each interface device before the actual search execution. Movement statuses and device associations are recognized and prepared in advance, so when a search is initiated, the relevant parameters are already available locally or pre-synchronized, reducing the real-time processing burden.
Solution Approach 2:
Each interface device serves itself by maintaining its own search parameters and context locally. Devices independently manage their parameter sets and only exchange necessary information through the association framework, reducing the need for centralized data gathering and processing, thereby minimizing information processing time while maintaining search accuracy.
3Adaptability or versatility
If device associations and movement data are utilized to personalize search, then user experience is improved, but data processing requirements increase
Solution Approach 1:
The system applies local quality by personalizing search results based on device-specific characteristics and user contexts at each interface device. Instead of centrally processing all user data, each device processes and applies its own local data (movement status, device associations) to provide personalized search results tailored to that specific device and user situation.
Solution Approach 2:
The patent extracts only the essential personalization data needed for search optimization from each device, such as movement status and association information, rather than processing complete user profiles or all available device data. This selective extraction approach enables personalization while minimizing the quantity of data that needs to be processed and transmitted.
Data Source
AI summary
Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.