Steersman Cognitive Load Estimation From Observation Variables
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing techniques for supporting vehicle drivers do not adequately account for the steersman's state, which is crucial for enhancing traffic safety and convenience, particularly for vulnerable road users.
Innovation Solution
An information processing system that includes an acquisition unit to gather observation data from a steersman and an estimation unit using a state model to determine the steersman's cognitive load, allowing for appropriate state estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing techniques (accelerator/brake operation analysis, face image capture) are used to determine driver state, then basic driving behavior can be monitored, but the steersman's cognitive load and true state cannot be accurately determined
Solution Approach 1:
The system segments the steersman's state into multiple independent state variables (cognitive load, emotional state, physical condition) that can be observed and measured separately through different sensors and methods, then integrates them for comprehensive state determination
Solution Approach 2:
The system introduces a state model as an intermediary that correlates observed state variables with the steersman's cognitive load and internal state, enabling indirect measurement of parameters that cannot be directly observed
2Reliability
If comprehensive observation of steersman state is implemented, then traffic safety can be improved, but the complexity of the information processing system increases
Solution Approach 1:
The state model serves multiple functions simultaneously: it processes various state variables, determines cognitive load, assesses steersman condition, and provides basis for safety decisions, reducing the need for separate specialized systems
Solution Approach 2:
The system continuously observes state variables and updates the steersman state determination in real-time, creating a feedback loop that maintains accurate state assessment while adapting to changing conditions
Data Source
AI summary
An embodiment provides a state estimation device including: an acquisition unit configured to acquire a state variable including an observation value obtained by observing a steersman who steers an moving object; and an estimation unit including a state model having a correlation between the state variable and a cognitive load during steering of the steersman and configured to estimate a state of the steersman from the state variable acquired by the acquisition unit.