Dynamic Bedtime Adjustment for Sleep Efficiency and Compliance
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Solution Overview
Problem
Existing insomnia treatment systems face challenges in maintaining user compliance with set bedtimes, as delaying bedtime to improve sleep efficiency can impose psychological burdens and reduce adherence.
Innovation Solution
The system sets a target bedtime based on calculated sleep efficiency and a compliance status index value, adjusting the bedtime by setting it later if sleep efficiency is low and compliance is high, identical if compliance is low, and earlier if sleep efficiency is high.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the bedtime is delayed to reduce time in bed and improve sleep efficiency, then sleep efficiency is improved, but user compliance and psychological burden deteriorate
Solution Approach 1:
The system dynamically adjusts the target bedtime based on real-time calculation of sleep efficiency and compliance status. When sleep efficiency is low and compliance is high, the bedtime is delayed by 15 minutes; when compliance is low, the bedtime remains unchanged; when sleep efficiency is high, the bedtime is advanced by 15 minutes. This dynamic adjustment resolves the contradiction by adapting the bedtime schedule to the user's actual performance and psychological state.
Solution Approach 2:
The system implements a feedback mechanism where the compliance status index value (ranging from 0-100) is calculated based on the user's adherence to previous bedtime recommendations. This feedback is used to modulate future bedtime adjustments, ensuring that users with poor compliance do not receive additional restrictive recommendations that would further reduce compliance. The feedback loop resolves the contradiction by using compliance data to prevent excessive burden.
2Reliability
If the bedtime is excessively restricted to improve sleep quality, then sleep efficiency is improved, but compliance decreases
Solution Approach 1:
The system changes the parameter of bedtime adjustment based on the calculated compliance status index value. When compliance is high (threshold value or more), the system applies a stricter parameter change (delaying bedtime by 15 minutes) to improve sleep efficiency. When compliance is low (less than threshold), the system applies a more lenient parameter change (maintaining the same bedtime) to preserve user compliance. This parameter adaptation resolves the contradiction by matching the restriction level to the user's compliance state.
Data Source
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AI summary
A bedtime setting unit 13 setting a target bedtime, on the basis of a sleep efficiency of a user, and a compliance status index value calculation unit 14 calculating a compliance status index value representing a compliance status with the set target bedtime are provided, and in a case where the sleep efficiency is less than a first predetermined value and the compliance status index value is a threshold value or more, a time later than the previous set bedtime is set as the next bedtime, in a case where the sleep efficiency is less than the first predetermined value and the compliance status index value is less than the threshold value, a time identical to the previous set bedtime is set as the next bedtime such that even in a state where it is necessary to set the bedtime to be later than the previous set bedtime since the sleep efficiency is less than the first predetermined value, a time identical to the previous set bedtime is set as the next bedtime in a case where the compliance status index value is less than the threshold value, and thus, a bedtime that applies a large burden on a user without an excellent compliance status with the bedtime is not set.