Navigation System Cognitive Load Reduction via Preliminary Action
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Solution Overview
Problem
Navigating unfamiliar routes can be stressful and increase cognitive load for drivers, leading to compromised driving efficiency due to the allocation of cognitive resources for route navigation.
Innovation Solution
A system that generates and provides familiarization content to drivers by identifying high cognitive load portions of a route using a cognitive navigation model, which links points of interest and entities of interest based on static and dynamic information, and provides this content at appropriate times to reduce stress and cognitive load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a user navigates an unfamiliar route without additional assistance, then the navigation task is completed, but the cognitive load increases and driving efficiency decreases
Solution Approach 1:
The system performs preliminary actions by providing advance notice of upcoming POIs and EOIs before the user reaches them. This allows the user to mentally prepare for complex intersections or points of interest, reducing the cognitive load during actual navigation while maintaining driving efficiency
Solution Approach 2:
The navigation route is segmented into discrete portions with specific POIs and EOIs identified at each segment. This segmentation allows the system to provide targeted information about specific upcoming features rather than overwhelming the user with all route information at once, thereby reducing cognitive load
2Loss of information
If familiarization content is provided for all portions of the route, then the user gains comprehensive route knowledge, but the information overload increases and cognitive resources are compromised
Solution Approach 1:
The system applies local quality by providing familiarization content selectively only for specific portions of the route that contain POIs or EOIs, rather than providing uniform information for the entire route. This targeted approach ensures comprehensive route knowledge is conveyed while minimizing information overload in low-complexity areas
3Reliability
If the system provides detailed familiarization information about POIs and EOIs, then the user's understanding of the route improves, but the time required to process information increases
Solution Approach 1:
The system provides familiarization information in advance before the user encounters the actual POI or EOI, allowing mental preparation without delaying the driving task. This timing strategy improves navigation reliability by ensuring information is available when needed while minimizing information processing time during critical driving moments
Data Source
AI summary
User behavior data and/or driver questionnaire data is received. Navigation information comprising point of interest data, entity of interest data, and/or roadway data is received. The navigation information is analyzed based on the user behavior data and/or driver questionnaire data to identify a navigation scenario that is expected to cause a user to have an increased cognitive load when navigating the navigation scenario. Scenario information for the navigation scenario is generated. The scenario information comprises scenario identifying information configured for identifying portions of a route that match the navigation scenario and/or information for generating familiarization information for a portion of a route matching the navigation scenario. The scenario information is used to identify a high cognitive load portion of a route by matching a portion of the route to the navigation scenario based on the scenario identifying information and/or generate familiarization information for the high cognitive load portion.