Entity Location Prediction System with AR Display
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Solution Overview
Problem
Current mobile applications lack the ability to predict and display the future location of entities such as friends or events, leading to information overload and limited user utility in planning ahead.
Innovation Solution
A system that uses a location server and mobile device components like GPS and direction determining modules to predict the future location of entities and display this information on a mobile device, allowing users to specify parameters like area and time intervals to filter predictions, and optionally display this information in augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the system displays all prediction information for entities, then the user receives complete information, but the user experiences information overload
Solution Approach 1:
The system allows users to adjust parameters such as time interval, area radius, and entity type filters to control the volume and relevance of prediction information displayed. By changing these parameters, users can optimize between receiving complete information and avoiding information overload.
Solution Approach 2:
The system applies different filtering criteria and display priorities to different types of entities and locations. Instead of uniform display, it tailors the information presentation based on local context, entity importance, and user-specified preferences, thereby reducing irrelevant information while maintaining completeness of important predictions.
2Loss of information
If the system provides detailed prediction information for multiple entities, then the user has comprehensive data for planning, but the device complexity increases
Solution Approach 1:
The system segments prediction information by entity type, time interval, and geographic area, allowing independent processing and filtering of different data streams. This segmentation enables the system to manage complex data sets through modular organization, reducing overall system complexity while maintaining data completeness.
Solution Approach 2:
The server acts as an intermediary that performs complex prediction calculations and data processing remotely, then delivers filtered results to the mobile device. This transfers computational complexity from the user's device to the server, reducing local device complexity while maintaining comprehensive prediction capabilities.
3Adaptability or versatility
If the system displays prediction information outside the user's current area, then the user receives broader information, but the relevance to the user's immediate context decreases
Solution Approach 1:
The system dynamically adjusts the display area and filtering criteria based on the user's current location, movement patterns, and predicted destination. As the user moves or plans to move, the system adapts the geographic scope of displayed predictions to maintain optimal relevance, expanding coverage when appropriate and focusing on local predictions when needed.
Data Source
AI summary
In one aspect, the invention provides a system that predicts the location of an entity, such as a friend of a user of a mobile device, and displays to the user this prediction information on a display screen of the mobile device. In some embodiments, the information may be displayed to the user in an augmented reality view (e.g., the prediction information may be displayed on top of an image as seen through a camera).