Location Based Services Using Motion-Aware Search Radius
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Solution Overview
Problem
Current Location Based Services (LBS) do not provide end users with the most relevant or useful search results, as they rely solely on the location of the wireless communication device without considering the user's motion information, leading to irrelevant results that are not easily accessible in the direction of travel.
Innovation Solution
A method that obtains location and motion information of a wireless communication device, organizing data from external information sources based on this information to provide more relevant results, including defining a search radius based on speed, direction, and pattern of motion, and allowing user-defined parameters for search radius adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search results are organized based only on location distance, then the system is simple to implement, but the relevance and usefulness of results to users in motion is poor
Solution Approach 1:
The patent changes the parameters used for organizing search results from only location distance to include motion parameters such as direction of travel, speed, and pattern of motion. This allows the system to dynamically adjust result ordering based on user movement context, improving relevance without significantly increasing complexity.
Solution Approach 2:
The system transitions from a static location-based sorting approach to a dynamic approach that continuously updates search result organization based on real-time motion information. The search results are reorganized as the user's motion parameters change, making the system adaptive to user behavior.
2Area of stationary object
If search results include all locations within a fixed radius, then the search area is comprehensive, but many results are irrelevant to users who are moving
Solution Approach 1:
The search radius is transformed from a fixed static parameter to a dynamic parameter that adjusts based on user motion characteristics. The system modifies the effective search area according to direction of travel, speed, and motion patterns, expanding the radius in favorable directions and contracting it in unfavorable directions to maintain result usefulness.
Solution Approach 2:
Different regions within the search area are treated differently based on their relevance to user motion. The system applies quality weighting to different spatial zones, prioritizing locations that align with user travel direction and de-prioritizing or excluding locations that do not match motion patterns.
3Loss of information
If the system processes motion information to organize data, then result relevance improves, but the processing complexity increases
Solution Approach 1:
The system uses a unified multi-functional approach where motion information serves multiple purposes: determining search radius, filtering results, and organizing result order. This consolidates what could be separate complex processing functions into a integrated system that leverages the same motion data for multiple organizational tasks.
4Reliability
If search results are updated in real-time as location changes, then data freshness is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous real-time updates, the system employs periodic updating based on significant motion events or threshold-based triggers. The search results are refreshed when motion parameters change beyond certain thresholds or after specific time intervals, reducing unnecessary processing and energy consumption while maintaining data freshness.
Data Source
AI summary
In one embodiment, a method includes: obtaining location information and motion information of a wireless communication apparatus, and a data set from one or more information sources external to the wireless communication apparatus; and organizing data of the data set for display, where the organizing is based on the location and motion information of the wireless communication apparatus. Methods of other embodiments may also include defining a search radius based on the location information and motion information of the wireless communication apparatus, and the organizing may also include filtering the data set from the one or more information sources to exclude data from information sources outside the defined search radius.