Driver Workload Estimation for Adaptive Interface Task Scheduling
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Solution Overview
Problem
Current vehicle systems fail to effectively manage driver workload, leading to increased cognitive and visual demands during interactions with infotainment and navigation systems, potentially distracting drivers and compromising safety.
Innovation Solution
A hybrid workload estimation system that uses vehicle, driver, and environmental data to predict and manage driver workload through adaptive real-time human-machine interface tasks, delaying or scheduling tasks based on workload levels, and incorporating rule-based algorithms and computational intelligence to tailor communications and HMI outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If driver interface tasks are executed continuously to provide infotainment and navigation information, then information delivery is improved, but driver workload and distraction increase
Solution Approach 1:
The system dynamically adjusts the execution of driver interface tasks based on real-time workload assessment. Task scheduling is not static but adapts to changing driving conditions, allowing continuous information delivery during low-workload periods while reducing or eliminating tasks during high-workload periods, thus resolving the contradiction between information delivery and driver workload
Solution Approach 2:
The system changes the parameter of task execution frequency based on workload levels. By monitoring driver workload metrics and adjusting task scheduling parameters accordingly, the system ensures information is delivered when appropriate while preventing excessive driver burden, effectively managing the trade-off between information delivery and ease of operation
2Reliability
If driver interface tasks are delayed or prevented from executing based on driver workload, then driver safety is improved, but information delivery and system productivity decrease
Solution Approach 1:
The system implements periodic workload assessment and task scheduling adjustments. Rather than continuously blocking information delivery, the system periodically evaluates driver workload and schedules task execution during appropriate intervals, ensuring safety is maintained while information delivery resumes during low-workload periods, thus balancing safety and productivity
Solution Approach 2:
The system performs preliminary workload assessment before scheduling driver interface tasks. By evaluating driver workload in advance and pre-scheduling tasks during appropriate time windows, the system ensures that information delivery is optimized without compromising driver safety, resolving the contradiction between reliability and productivity
Data Source
AI summary
A vehicle includes at least one processor that receives an in-coming communication for a driver, routes the in-coming communication to a mail system in response to a driver workload exceeding a predefined value, and after a predetermined period of time following routing the in-coming communication to the mail system, generates a notification for the driver indicating that a communication was received in response to the driver workload being less than the predefined value at an expiration of the predetermined period of time.