Route Guide Device Using Learning Level Matrix
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Solution Overview
Problem
Existing navigation devices do not provide an overview of the entire route from the departure position to the destination based on the user's learning level, which can make it difficult for users to understand the route, especially when multiple routes are available.
Innovation Solution
A route guide device that includes a current position acquisition unit, an input unit, a route search unit, a level storage unit, a route overview generation unit, and a notification unit, which generates and notifies the user of entire route information based on their learning level, using a matrix associating road information with learning levels, and allows for voice-based route selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the navigation device provides detailed route information for the entire route, then the user can understand the route better, but the information overload may confuse users with low learning level
Solution Approach 1:
The patent applies local quality by providing different levels of route information detail to different users based on their learning level. Users with high learning level receive comprehensive route information including all road segments and landmarks, while users with low learning level receive simplified information focusing only on key points. This ensures each user receives information appropriate to their capability, preventing information overload while maintaining completeness for those who need it.
Solution Approach 2:
The system dynamically adjusts the amount and detail of route information provided based on the user's learning level, which is determined through travel history analysis. The navigation device adapts its information presentation in real-time, modifying the complexity and granularity of route guidance to match the user's demonstrated understanding and familiarity with the area.
2Ease of operation
If the navigation device provides simplified route information, then users with low learning level can understand better, but users with high learning level may need more detailed information
Solution Approach 1:
The system provides locally optimized information quality matched to each user's learning level. High learning level users receive detailed comprehensive route information including all road segments, intersections, and landmarks. Low learning level users receive simplified information focusing on key decision points and major landmarks. This localized adaptation ensures optimal information density for each user group.
Solution Approach 2:
The patent changes the parameter of information detail level based on the user's learning level parameter. By analyzing travel history to determine learning level, the system adjusts the granularity, complexity, and comprehensiveness of route information as a variable parameter, transforming a static information provision system into a dynamic one that adapts to user capabilities.
3Adaptability or versatility
If the navigation device analyzes travel history to determine learning level, then the route information can be personalized, but the system complexity increases
Solution Approach 1:
The system performs preliminary analysis of travel history to determine the user's learning level before providing route guidance. By pre-processing travel data and establishing the user's proficiency level in advance, the system prepares personalized information parameters ahead of time, reducing real-time processing complexity while enabling tailored route information delivery.
Solution Approach 2:
The navigation device automatically analyzes its own collected travel history data to determine user learning level without requiring external input or manual assessment. The system serves itself by using its existing data infrastructure to generate personalization parameters, avoiding the need for additional complex assessment mechanisms while achieving personalized information delivery.
Data Source
AI summary
A route guide device includes a current position acquisition unit that acquires a current position, an input unit that inputs a destination, a route search unit that searches for a route from the current position to the destination, a level storage unit that stores a of user's learning level of road information, a route overview generation unit that generates entire route information for the entire route on the basis of the route found through the search and the learning level stored in the level storage unit, and a notification unit that notifies of the entire route information generated by the route overview generation unit.