Location-Based Messaging Grouping for Consistent User Experience
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing location-based messaging systems fail to provide a unified experience to groups of people sharing a location-based experience, as individuals within the same group often receive different messages due to positional inaccuracies and varying locations.
Innovation Solution
A method that identifies subsets of wireless devices with similar positional characteristics, calculates an average location for each group, and sends the same group-specific message to all members, accounting for both location and velocity to ensure consistent messaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual location-based messaging is used for each wireless device, then messaging precision is improved, but group experience consistency deteriorates
Solution Approach 1:
The patent merges multiple individual device locations into a single group-level representation by calculating average location and velocity for each identified group. This combining approach allows the system to send unified messages to groups while maintaining the ability to distinguish between different groups, thus resolving the contradiction between individual precision and group consistency.
Solution Approach 2:
The patent segments the set of wireless devices into distinct groups based on their positional characteristics and movement patterns. By identifying subsets of devices with similar characteristics (within threshold distances and velocities), the system can apply different messaging strategies to different segments, allowing precise group-targeted messaging that maintains both individual accuracy and group coherence.
2Productivity
If group-level processing is implemented, then system scalability is improved, but individual message accuracy deteriorates
Solution Approach 1:
The patent implements dynamic group identification that continuously monitors and updates group memberships based on real-time positional characteristics and movement patterns. Groups are not static but adapt as devices move, allowing the system to maintain scalability through group-level processing while preserving individual message accuracy by dynamically adjusting group assignments based on current spatial relationships.
3Measurement precision
If threshold-based grouping is used, then group identification accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent changes the parameter space by considering both positional characteristics (location) and dynamic characteristics (velocity) for group identification. By incorporating velocity thresholds in addition to distance thresholds, the system improves group identification accuracy by filtering out devices that are spatially close but moving in different directions, while managing computational complexity through efficient threshold-based filtering.
Data Source
Figure 1~1M
Figure 2
Figure 3
AI summary
Apparatus for supporting a location-based application is disclosed. The apparatus comprises a plurality of mobile devices which report their locations to an application computer. The application computer then periodically or occasionally sends the mobile devices a message (textual, speech, photo or video etc.) which depends upon the reported location of the mobile device. A problem with known apparatus of this type arises when a plurality of users are partaking in the same location-based application together, but receive different messages because their positions are not identical. The location-based application supporting apparatus disclosed here overcomes this problem by first identifying mobile devices which are moving as a group, and then sending all members of that group the same location-based message. The solution is of particular utility in relation to located information, advertising, or reviews for shops, restaurants etc., located games, located educational experiences and location tourism.