Information Processing Apparatus Sleep State Sound Adaptation
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Solution Overview
Problem
Conventional information processing apparatuses do not consider the user's sleep state when outputting messages or characters, lacking a mechanism to provide varied sounds based on the user's sleep state.
Innovation Solution
An information processing apparatus that includes a memory storing a computer-readable program and one or more processors. The processors select a sound to be outputted from a sound candidate group, output the selected sound when an output condition is satisfied, estimate a user's sleep state based on body motion measurements, calculate hours of sleep, and add new sounds to the sound candidate group based on the calculated hours of sleep.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional information processing apparatus output messages or characters without considering sleep state, then the device complexity is low, but the adaptability to user conditions is poor
Solution Approach 1:
The information processing apparatus integrates multiple functions including sleep state estimation, hours of sleep calculation, and sound selection based on sleep data. The sensor module detects body motion, the control module processes this data to estimate sleep states, and the sound output module provides context-aware audio feedback, allowing a single device to perform diverse functions that adapt to user conditions
Solution Approach 2:
The control module acts as an intermediary between the sensor that measures body motion and the sound output module. It processes raw sensor data to estimate sleep states and determines which sounds to output based on calculated hours of sleep, serving as a mediator that transforms physical measurements into context-aware audio responses
2Adaptability or versatility
If the sound candidate group size is kept small, then the device complexity is low, but the sound variation is limited
Solution Approach 1:
The sound candidate group is dynamically adjusted based on the user's hours of sleep. The control module calculates hours of sleep from sensor data and selectively adds sounds to the candidate group based on this calculation, making the group size and composition variable rather than fixed, thereby adapting sound variation to user behavior patterns
Solution Approach 2:
The apparatus pre-calculates hours of sleep using sensor data before selecting sounds from the candidate group. This preliminary calculation of sleep metrics allows the system to prepare appropriate sound selections in advance based on the user's sleep state, enabling context-aware sound output without real-time complexity
3Adaptability or versatility
If the apparatus does not estimate sleep state, then the measurement precision requirement is low, but the user motivation for sleep improvement is insufficient
Solution Approach 1:
The apparatus provides feedback to the user through sound output that is directly linked to their sleep behavior. The control module calculates hours of sleep from sensor measurements and selects sounds from the candidate group based on this calculation, creating a feedback loop where users can observe the relationship between their sleep patterns and the sounds their device outputs, thereby motivating sleep improvement
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus motivates users to sleep longer by adding new sounds to the output candidate group based on cumulative sleep hours, increasing sound variation and user engagement.
Implementation Method 1
estimating a sleep state of a user based on a result of measurement by a sensor that measures body motion of the user
Data Source
AI summary
An information processing apparatus includes sound selection means for selecting a sound to be outputted from a sound candidate group, sound output means for outputting the selected sound when an output condition is satisfied, sleep state estimation means for estimating a sleep state of a user based on a result of measurement by a sensor that measures body motion of the user, hours-of-sleep calculation means for calculating hours of sleep of the user based on the estimated sleep state of the user, and addition means for adding a new sound to the sound candidate group based on the calculated hours of sleep of the user.