Route Guidance Using Spatial Cognitive Ability and Route Difficulty
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Solution Overview
Problem
Existing pedestrian navigation methods fail to account for individual spatial cognitive abilities, leading to users getting lost and requiring excessive time and effort to reach their destinations.
Innovation Solution
A route guidance apparatus that calculates difficulty levels and required times for multiple routes, considering spatial cognitive ability values to recommend the most suitable route for the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a standard route search is performed without considering user characteristics, then the route can be found quickly, but users with low spatial cognitive ability may get lost and take longer to reach the destination
Solution Approach 1:
The patent applies local quality by tailoring route characteristics to specific user groups. Routes are designed with different levels of complexity based on user spatial cognitive ability - simple routes with fewer turns and landmarks for users with low ability, and more complex routes for users with high ability. This localized adaptation ensures each user receives a route matched to their capabilities, resolving the contradiction between quick route finding and reliable route following.
Solution Approach 2:
The patent implements preliminary action by assessing user spatial cognitive ability before route generation and pre-calculating appropriate route characteristics. The system evaluates user characteristics in advance and prepares suitable route options that match the user's abilities, preventing getting lost before it occurs rather than reacting after the user becomes lost.
2Reliability
If routes are simplified to help users with low spatial cognitive ability, then users are less likely to get lost, but the route distance and travel time may increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting route parameters such as number of turns, landmark density, and path complexity based on user spatial cognitive ability. The system modifies these parameters to optimize the balance between route simplicity (for reliability) and route efficiency (for productivity), ensuring that routes are simplified only to the extent necessary for user comprehension without unnecessary detours.
Solution Approach 2:
The patent implements dynamics by making route characteristics adaptable to individual user capabilities rather than using fixed simplification rules. The system dynamically generates routes with varying degrees of complexity matched to each user's spatial cognitive ability, allowing optimal travel efficiency for each user rather than applying uniform simplification that would reduce productivity for all users.
3Adaptability or versatility
If multiple route options are calculated and analyzed, then a more suitable route can be selected, but the calculation complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by dividing the route calculation process into distinct stages: user ability assessment, route generation based on ability level, and suitability evaluation. This segmented approach allows the system to handle complex calculations in manageable steps, generating multiple route options tailored to different user abilities and selecting the most suitable one without overwhelming computational complexity.
Solution Approach 2:
The patent implements partial action by generating a limited number of route options sufficient for making a suitable selection rather than calculating all possible routes. The system produces enough varied route options to match user characteristics and identify the most suitable route, avoiding excessive calculation while still providing adaptability to different user abilities.
Data Source
AI summary
A route guidance apparatus according to an embodiment of the present disclosure includes a route search unit that performs a route search based on a route search instruction from a user including information indicating a departure place and a destination, a difficulty level calculation unit that calculates a difficulty level for each of the multiple routes obtained as a search result, a required time calculation unit that calculates a required time for each of the multiple routes, a spatial cognitive ability value acquisition unit that acquires a spatial cognitive ability value representing spatial cognitive ability of the user, a route selection unit that selects a route recommended to the user from the multiple routes based on the calculated difficulty level, the calculated required time, and the acquired spatial cognitive ability value, and an output unit that outputs the selected route.