Navigation Route Selection Using Affective-Cognitive Load Data
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Solution Overview
Problem
Conventional navigation systems do not account for the cognitive and emotional challenges of routes, potentially offering routes that are overly burdensome for drivers, which can impact safety and well-being.
Innovation Solution
A computer-implemented method that determines affective-cognitive load (ACL) data for routes, allowing navigation systems to select and provide routes that minimize cognitive and emotional burdens by evaluating ACL metrics, thereby offering less demanding routes based on biometric data and psychophysiological states of drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional navigation systems determine routes based only on time and distance criteria, then route determination is simple and fast, but the routes may pose unnecessary cognitive and emotional burdens on the driver
Solution Approach 1:
The system performs preliminary assessment of routes by obtaining affective-cognitive load data for multiple candidate routes before presenting them to the driver. This advance evaluation allows the system to identify and filter out routes that would impose excessive cognitive or emotional burdens, while still maintaining efficient route determination through automated preprocessing of route options based on historical and real-time ACL data
Solution Approach 2:
The patent introduces affective-cognitive load data as an intermediary factor between traditional route parameters (time, distance) and driver experience. This intermediary layer of information enables the system to evaluate routes not only on conventional metrics but also on their psychological impact, allowing drivers to receive route recommendations that balance efficiency with cognitive ease
2Adaptability or versatility
If navigation systems offer multiple route options based on traditional criteria, then driver has more choices, but driver may struggle to select the most appropriate route without information on cognitive load
Solution Approach 1:
The system provides feedback to the driver by presenting affective-cognitive load information alongside traditional route metrics. This feedback mechanism enables drivers to understand the cognitive and emotional demands of each route option, allowing them to make informed decisions that align with their current mental state and preferences, rather than being presented with opaque route selections
3Reliability
If navigation systems account for affective-cognitive load data in route selection, then driver safety and well-being are improved, but system complexity increases
Solution Approach 1:
The patent implements a multi-functional navigation system that simultaneously handles traditional route determination (based on time and distance) and affective-cognitive load assessment. The system can operate in multiple modes, providing both conventional route optimization and ACL-based route selection, allowing it to serve diverse driver needs without requiring separate specialized systems
Data Source
AI summary
Embodiments of the present disclosure sets forth a computer-implemented method comprising obtaining a starting location and a destination location, determining a plurality of routes from the starting location to the destination location, obtaining affective-cognitive load (ACL) data associated with the plurality of routes, selecting a route included in the plurality of routes based on the ACL data, and transmitting the selected route for output.