Dynamic Map Scale Adjustment for Destination Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current portable electronic devices with integrated GPS and maps struggle to efficiently estimate and display user destinations, especially when users frequently visit multiple places, leading to difficulties in navigating through traffic jams.
Innovation Solution
An electronic apparatus and method that continuously detects the user's current location, calculates distances to frequently visited places, adjusts the map scale to remove less relevant locations, and provides real-time traffic information to estimate and display the intended destination, using modules for setting, calculation, determination, and estimation, along with history and calendar data to prioritize frequently visited places.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the electronic map displays all frequently visited places, then the user can see all possible destinations, but the map scale becomes too small and the interface becomes cluttered
Solution Approach 1:
The map scale is dynamically adjusted based on the user's current location and movement state. When the user is moving away from multiple frequently visited places, the system automatically enlarges the map scale to remove those places from display, reducing interface clutter while maintaining visibility of the most relevant destination options
Solution Approach 2:
The system extracts and removes frequently visited places that are no longer relevant based on the user's current movement pattern. By calculating distance increases over time periods, the system selectively removes places from the display, keeping only the most probable destinations visible on the map
2Measurement precision
If the system continuously monitors and adjusts map scale, then the destination estimation accuracy improves, but the energy consumption increases
Solution Approach 1:
The system performs distance calculations and map scale adjustments at periodic time intervals rather than continuously. By determining whether distance increases within preset time periods, the system achieves destination estimation accuracy while reducing the frequency of processing operations and associated energy consumption
Solution Approach 2:
The system uses the device's existing positioning module and movement data to automatically determine destination probability without requiring additional sensors or continuous high-power processing. The positioning module's inherent capabilities are leveraged to perform distance calculations and destination estimation
3Measurement precision
If the user manually searches for and resets destination places, then the navigation accuracy is high, but the operation time and user effort increase
Solution Approach 1:
The system automatically estimates the user's intended destination by analyzing movement patterns and distance changes to frequently visited places, eliminating the need for manual destination selection. The system self-determines the most probable destination based on real-time positioning data and historical frequently visited places
Solution Approach 2:
The system pre-calculates distances and probabilities to multiple frequently visited places in advance, so when the user's destination intent becomes clear through movement patterns, the system can immediately display the most probable destination without requiring the user to search through multiple options
4Loss of information
If the map displays detailed information for all places, then the user can make informed decisions, but the information overload reduces usability
Solution Approach 1:
The system extracts and displays only the most relevant frequently visited places based on calculated probability, removing less relevant places from the display. This selective presentation provides sufficient information for user decision-making while avoiding information overload and maintaining ease of operation
Solution Approach 2:
The system applies different display qualities to different places based on their relevance probability. High-probability destinations receive prominent display with detailed information, while low-probability places are removed or minimized, creating a differentiated information hierarchy that improves usability
Data Source
AI summary
A method, an apparatus, and a recording medium for estimating and displaying a destination are provided. In the method, a plurality of places frequently visited by a user is set first. Then, a current location of the electronic apparatus is continuously detected by using a positioning module, and a distance between the current location and each of the places is calculated. Whether the distance between the current location and each of the places increases is determined. When the distance increases, the corresponding place is removed and the remaining places are displayed.