Adaptive Guidance Control for Personal Care Devices
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Solution Overview
Problem
Users of devices, such as personal care devices, often become dissatisfied due to low skill levels, incorrectly attributing poor performance to device malfunctions or quality issues, and continuous guidance can lead to disengagement and skill deterioration.
Innovation Solution
A computer-implemented guidance control method that provides tailored guidance based on the user's skill level, determined by sensor data, halting guidance when proficiency is reached and reinstating it when a threshold is below, using specific data like time, spatial coverage, and pressure metrics to optimize device use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If guidance is provided continuously to users, then user skill level improves, but user engagement decreases and skill deterioration occurs
Solution Approach 1:
The guidance system dynamically adjusts its behavior based on real-time assessment of user skill level. The system transitions between providing guidance and halting guidance based on whether the usage quality measure meets the threshold, making the system adaptive rather than static. This resolves the contradiction by making guidance provision conditional rather than continuous.
Solution Approach 2:
The system implements a feedback loop where usage data is continuously monitored, skill level is assessed, and guidance provision is adjusted based on this feedback. When usage quality meets the threshold, guidance is halted; when it falls below, guidance is reinstated. This closed-loop feedback mechanism resolves the contradiction by using information about user performance to optimize the guidance strategy.
2Ease of operation
If guidance is halted when proficiency is reached, then user engagement is maintained, but skill level may deteriorate over time
Solution Approach 1:
The system implements periodic monitoring of usage quality measures even after guidance has been halted. By continuously assessing whether the usage quality measure remains above the threshold, the system can periodically reinstates guidance when skill deterioration is detected. This periodic check mechanism resolves the contradiction by maintaining engagement through reduced guidance while preventing skill loss through ongoing monitoring.
3Reliability
If guidance is provided based on skill level thresholds, then guidance effectiveness improves, but system complexity increases
Solution Approach 1:
The system uses a single key parameter - the usage quality measure - to determine guidance provision. By focusing on this primary parameter and comparing it against a threshold value, the system achieves effective guidance control without requiring complex multi-parameter analysis. This parameter-based approach resolves the contradiction by simplifying the decision logic while maintaining guidance effectiveness.
Data Source
AI summary
The invention discloses a computer-implemented guidance control method (400). The method includes receiving (402) data relating to the use of a device by a user; determining (404) a usage quality measure for the user based on the received data; providing (406) first guidance data relating to device usage for presentation to the user of the device; halting (408) presentation of first guidance data to the user if the usage quality measure is equal to or greater than a first quality threshold (104; FIG. 2); and providing (410) second guidance data for presentation to the user of the device if the usage quality measure is below a second quality threshold (206; FIG. 2).