Automated Assistant Sleep State Adaptive Audio Control
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Solution Overview
Problem
Existing devices designed to assist users in falling asleep, such as white noise machines and computing devices playing audiobooks, often operate inefficiently, leading to energy waste and sleep disturbances due to inappropriate timing and volume settings.
Innovation Solution
The system determines the user's physiological and environmental conditions using sensors and data from wearable devices and other computing devices, allowing it to adjust the characteristics of ambient noise or media playback to promote better sleep quality and reduce resource wastage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a white noise machine provides audio at a constant level for a fixed timer period, then the user can fall asleep, but energy and computational resources are wasted when the user has already fallen asleep
Solution Approach 1:
The system continuously monitors user physiological states (heart rate, respiratory rate, body temperature) and uses this feedback to dynamically adjust audio output. When sleep criteria are met, the system automatically reduces or stops audio playback, preventing energy waste while ensuring reliable sleep assistance.
Solution Approach 2:
The white noise machine transitions from static constant-level playback to dynamic adaptive playback that adjusts volume and characteristics in real-time based on detected sleep state, optimizing energy consumption while maintaining sleep assistance effectiveness.
2Use of energy by moving object
If a white noise machine stops abruptly when timer expires, then energy is saved, but sleep disturbances occur and the user wakes up
Solution Approach 1:
The system prepares for shutdown by gradually reducing audio volume and transitioning to quieter ambient sounds before completely stopping, cushioning against abrupt changes that would disturb sleep. This prevents wake-ups while still achieving energy savings.
Solution Approach 2:
Instead of abrupt stop, the system uses periodic gradual fade-out sequences that maintain sleep comfort while reducing energy consumption over time, transitioning through multiple volume levels before shutdown.
3Productivity
If a computing device continues playing audiobook at maintained volume level after user falls asleep, then the audiobook completes playback, but computational resources are wasted
Solution Approach 1:
The system monitors sleep state continuously and uses this feedback to automatically adjust audiobook playback. When sleep is detected, the system gradually reduces volume or pauses playback, preventing computational resource waste while ensuring the audiobook can be completed if needed.
Solution Approach 2:
The audiobook playback transitions from static continuous playback to dynamic adaptive playback that adjusts volume and playback state based on real-time sleep detection, optimizing computational resource usage.
4Ease of operation
If a motion sensor triggers full spectrum light when user moves, then the user can navigate, but energy is wasted and other sleepers are disturbed
Solution Approach 1:
Instead of providing full spectrum light throughout the room, the system provides localized low-intensity illumination only in the immediate path where the user is detected, reducing energy consumption while maintaining navigation capability.
Solution Approach 2:
The lighting system dynamically changes parameters such as intensity, color temperature, and spectral composition based on detected user presence and sleep state, providing adequate illumination for navigation while minimizing disturbance to other sleepers and energy consumption.
Data Source
AI summary
Dynamically controlling output from a device, such as an automated assistant device. Control of the output can be based on, for example, a condition and/or physiological attribute(s) of a user of the device. Various implementations dynamically control the output to improve sleep quality for the user and/or mitigate waste of computational and/or network resources.