Attention-Aware Multi-Display Control for Vehicle Power Savings
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Solution Overview
Problem
Modern vehicles with multiple displays consume excessive power and network resources as they remain fully active and high-quality even when not being actively viewed by the user, which does not enhance the user experience and can hinder safe navigation.
Innovation Solution
A multi-display controller that detects user attention using various sensors and adjusts display attributes such as power mode, resolution, and network bandwidth based on user focus, reducing power consumption and network traffic on non-focused displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If multiple displays remain fully active and high-quality, then user experience is maintained, but power consumption increases excessively
Solution Approach 1:
The system dynamically adjusts display attributes (resolution, refresh rate, power mode) based on real-time detection of user attention using sensors and machine learning models. When a display is not the focus of user attention, its quality is reduced to save power; when it becomes the focus, quality is restored or enhanced.
Solution Approach 2:
The patent changes multiple display parameters simultaneously including resolution, refresh rate, brightness, and power mode based on user attention state. This allows the system to optimize power consumption across different operational states while maintaining user experience when needed.
2Manufacturing precision
If multiple displays remain fully active and high-quality, then image quality is maintained, but network bandwidth consumption increases
Solution Approach 1:
The system dynamically adjusts network bandwidth allocation to displays based on user attention. When a display is not being viewed, the network bandwidth allocated to it is reduced, allowing bandwidth to be reallocated to active displays or other vehicle systems, thereby reducing overall network traffic while maintaining image quality on focused displays.
3Reliability
If multiple displays remain fully active, then display functionality is maintained, but thermal management becomes difficult
Solution Approach 1:
The system uses periodic sensor detection and machine learning-based attention determination to control display operation. Displays are activated at full functionality only when needed (periodic activation based on attention detection), and reduced to lower power states during non-use periods, creating a rhythmic on-demand operation pattern that manages thermal load.
4Use of energy by moving object
If displays are adjusted to lower quality when not focused, then power consumption is reduced, but user experience may deteriorate
Solution Approach 1:
The system continuously monitors user attention using sensors (cameras, microphones, touch sensors) and machine learning models, creating a feedback loop that detects when a user's attention shifts between displays. This feedback enables the system to proactively adjust display quality before the user notices degradation, and to restore quality immediately when attention returns, thereby maintaining user experience while saving power during transitions.
Data Source
AI summary
One example discloses a multi-display controller, including: a focus detector configured to detect an attention of a user; and one or more rendering engines configured to vary an attribute of at least one display in a set of two or more displays based the attention of the user.