Alertness-Based Task Allocation for Vehicle Control Handoffs
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Solution Overview
Problem
Current systems fail to effectively manage tasks based on user alertness levels, leading to cognitive and physical fatigue, which can result in delayed responses and increased risk in environments requiring rapid decision-making, such as vehicular operations.
Innovation Solution
A communications network and method that utilize sensors to assess user alertness levels, predict required alertness for future tasks, and provide tailored notifications to ensure safe and efficient operation by adjusting user involvement in vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automation is increased to relieve users of task burden, then productivity is improved, but reliability deteriorates due to unmonitored cognitive burden and fatigue
Solution Approach 1:
The system continuously monitors user alertness levels through sensor data (eye tracking, heart rate, galvanic skin response) and provides feedback to dynamically adjust task allocation. When fatigue is detected, the system automatically reduces automated task complexity or increases user involvement, creating a closed-loop control system that maintains reliability while maximizing productivity
Solution Approach 2:
The patent implements dynamic task allocation where the division of labor between automated systems and users is not fixed but continuously adjusted based on real-time alertness monitoring. The system adapts the level of automation and user engagement dynamically, transitioning between different operational modes to optimize both productivity and safety
2Speed
If users are required to make rapid decisions, then response speed is improved, but cognitive burden increases leading to fatigue
Solution Approach 1:
The patent segments decision-making tasks into different levels of complexity and automatically assigns them based on user alertness. Routine decisions are handled by automated systems while complex decisions requiring human judgment are reserved for alert periods, effectively dividing the cognitive workload and maintaining rapid response times without overwhelming the user
3Reliability
If alertness monitoring and task management systems are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensor arrays that serve multiple purposes: eye tracking for alertness detection, heart rate monitoring for stress assessment, and galvanic skin response for engagement measurement. These sensors simultaneously perform safety monitoring, task allocation decisions, and user interface personalization, reducing overall system complexity through functional integration
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining data from a plurality of sensors at a first point in time, analyzing the data to identify a first level of alertness of a user, predicting a second level of alertness that is required by the user to operate a machine at a second point in time that is subsequent to the first point in time, comparing the first level of alertness to the second level of alertness to generate a first comparison result, identifying a first type of a first notification based on the first comparison result, identifying a third point in time to provide the first notification based on the first comparison result, wherein the third point in time is subsequent to the first point in time and prior to the second point in time, and providing the first notification at the third point in time. Other embodiments are disclosed.