Media Volume Control via Predicted Driver Workload
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automobile-based media volume control systems are inadequate as they only consider vehicle velocity and ignore environmental and vehicle condition factors, failing to reduce driver distractions effectively.
Innovation Solution
A system and method utilizing a prediction engine and regulation module that collects sensor and scene category data to predict a user's workload and adjust media volume accordingly, incorporating factors like weather, road conditions, and vehicle dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing systems control media volume based only on vehicle velocity, then the volume control is simple to implement, but the system fails to account for environmental factors and driver distraction reduction
Solution Approach 1:
The patent combines multiple independent control systems (velocity-based volume control, environmental factor detection, and distraction reduction algorithms) into a unified media volume control system. The regulation module integrates data from velocity sensors, environmental sensors, and workload prediction models to simultaneously achieve simple implementation and comprehensive adaptability.
Solution Approach 2:
The media volume control system is designed to perform multiple functions: basic velocity-based volume adjustment, environmental factor adaptation, and driver distraction reduction. This multi-functional approach allows the system to handle diverse operating conditions while maintaining a relatively simple overall structure through shared processing components.
2Reliability
If existing systems increase media volume when vehicle velocity increases to maintain constant media-to-noise ratio, then the audio clarity is maintained, but driver distraction increases
Solution Approach 1:
The system implements feedback mechanisms where the regulation module continuously monitors not only velocity and audio levels but also environmental factors and predicted driver workload. This feedback loop allows the system to adjust media volume dynamically, reducing volume when environmental conditions or workload predictions indicate potential driver distraction, while maintaining audio clarity through intelligent compensation.
Solution Approach 2:
The patent changes the control parameters from simple velocity-based adjustment to a multi-parameter approach including environmental factors (temperature, humidity, road conditions) and workload predictions. This allows the system to maintain audio clarity by adjusting for noise levels while simultaneously reducing driver distraction through context-aware volume modulation based on multiple changing parameters.
Data Source
AI summary
A system and method for regulating media volume is disclosed. The system comprises a prediction engine and a regulation module. The prediction engine collects sensor data and scene category data. The scene category data includes data describing an environment in which the media volume is regulated. The prediction engine predicts a workload for a user based at least in part on the scene category data and the sensor data and generates a predicted workload value for the predicted workload. The regulation module adjusts the media volume based at least in part on the predicted workload value.