Multistop Route Search Area Centering
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Solution Overview
Problem
There is a need for electronic devices to efficiently search for stops in multiple stop routes, reducing cognitive burden on users and minimizing processor and battery power usage from redundant inputs.
Innovation Solution
Electronic devices detect user inputs to add destinations to a route and initiate searches within a geographic area containing the first destination, utilizing touch-sensitive displays and intuitive user interfaces to facilitate efficient route planning and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search for each stop destination in a multistop route, then search accuracy can be maintained, but user interaction time and cognitive burden increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating candidate stop destinations based on the first destination before the user needs to search. The electronic device proactively prepares a list of potential stops by analyzing geographic data and route information, so when the user wants to add a stop, the candidates are already ready, eliminating the need for manual searching and reducing interaction time.
Solution Approach 2:
The system serves itself by automatically generating stop destination candidates without requiring user input for each stop. The electronic device uses its own resources (processor, database) to autonomously create and present stop options, reducing the cognitive burden on users while maintaining search accuracy through algorithmic analysis of route and geographic data.
2Adaptability or versatility
If the search area for stop destinations is expanded to cover larger geographic regions, then more potential stops are found, but processor power and battery consumption increase
Solution Approach 1:
The system applies local quality by focusing the search on a specific geographic area centered on the first destination rather than searching the entire route or global database. The electronic device determines a localized search area with defined boundaries around the first stop, which reduces the data processing requirements and energy consumption while still identifying relevant stop destinations within that focused region.
Solution Approach 2:
The system changes parameters by dynamically adjusting the search area boundaries based on the first destination's location and characteristics. The electronic device modifies search parameters (geographic coordinates, radius, boundaries) to optimize the balance between finding sufficient stop options and minimizing processor power consumption, rather than using a fixed large search area for all routes.
Data Source
AI summary
In some embodiments, an electronic device detects a first user input corresponding to a request to search for an additional destination in a multi stop route, and the location on which the search is centered depends on whether or not navigation along the route is ongoing.