Adaptive Operator Alerter Prompts for Vehicle Alertness
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing alerter systems in machinery, such as vehicles, provide prompts at fixed or speed-dependent frequencies, which can be intrusive and distracting for alert operators, failing to adapt to the operator's alertness levels.
Innovation Solution
A system that determines an operator's alertness using monitoring systems and adjusts the frequency and type of prompts based on alertness data, increasing or decreasing the temporal delay and changing prompt types from visual to audible or haptic as needed to maintain operator alertness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prompts are provided at fixed or speed-dependent frequencies, then operator alertness can be maintained through regular stimulation, but the prompts become unnecessarily intrusive and distracting for alert operators
Solution Approach 1:
The alerter system dynamically adjusts the frequency and timing of prompts based on real-time monitoring of operator alertness levels. When the operator is detected to be alert, the system increases the time between prompts or reduces prompt intensity. When drowsiness is detected, the system increases prompt frequency. This dynamic adaptation resolves the contradiction by making the system responsive to actual operator state rather than using fixed timing.
Solution Approach 2:
The system implements a feedback loop where operator alertness is continuously monitored through sensors (eye tracking, head position, response time to prompts) and this information is fed back to adjust prompt frequency. The feedback mechanism allows the system to distinguish between alert and drowsy states, adjusting the alerter behavior accordingly to maintain alertness while minimizing distraction for already-alert operators.
2Reliability
If prompts are provided frequently to maintain operator alertness, then operator safety is improved, but the operational efficiency and driver attention are reduced due to repeated interruptions
Solution Approach 1:
The system dynamically adapts prompt frequency based on detected operator alertness levels. During periods of high alertness, prompts are spaced further apart or reduced in intensity, allowing uninterrupted operation and maintaining productivity. When drowsiness is detected, prompt frequency increases to maintain safety. This dynamic behavior resolves the contradiction by adjusting safety measures based on actual need rather than applying constant interruption.
Solution Approach 2:
The system changes key parameters of prompt delivery including frequency, timing, and intensity based on operator state. By varying these parameters dynamically, the system maintains safety through adequate stimulation while minimizing disruptions to operational efficiency when the operator is already alert and performing well.
3Device complexity
If uniform prompt frequency is used regardless of operator state, then system simplicity is maintained, but the system fails to adapt to varying alertness levels and becomes less effective
Solution Approach 1:
The system monitors its own effectiveness by detecting operator responses to prompts and automatically adjusts its behavior without external intervention. Through self-monitoring of operator alertness indicators (eye closure, head position, response patterns), the system serves itself by adapting prompt frequency and timing, achieving adaptability while keeping the control logic integrated within the existing system architecture.
Solution Approach 2:
The alerter system incorporates multiple functions within a single integrated system: it provides alerting prompts, monitors operator state through various sensors, processes sensor data to determine alertness levels, and automatically adjusts prompt delivery. This multi-functionality achieves adaptability while consolidating complexity into a unified system rather than requiring separate independent subsystems.
Data Source
AI summary
An alerter augmentation system includes one or more processors that determine an alertness of an operator of a vehicle system. The one or more processors also generate operator input requests that are separated in time by a temporal delay. These input requests seek responses or action by the operator in an attempt to keep or make the operator alert. The one or more processors change one or more of the temporal delay between the input requests and/or a type of the input requests that are generated based at least in part on the alertness of the operator that is determined.