Cleanup Feedback Control Using Interest and Achievement Levels
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cleanup support systems fail to increase the spontaneity of cleanup behavior in target persons, such as infants, as they primarily focus on achievement without considering the level of interest, leading to reduced motivation and engagement.
Innovation Solution
A cleanup support system that includes units to obtain and assess the level of interest and achievement in cleanup, determining control content based on rules associating these factors to enhance motivation and engagement, using devices like cameras, weight meters, displays, and tablets to provide feedback and prompts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional cleanup support systems only monitor achievement without considering interest level, then the system structure remains simple, but the spontaneity and motivation of cleanup behavior decreases
Solution Approach 1:
The system segments the monitoring process into two distinct evaluation dimensions: interest level monitoring (via camera analyzing facial expressions and body language) and achievement level monitoring (via weight meter measuring cleanup progress). This segmentation allows each dimension to be measured independently and combined to generate appropriate feedback, resolving the contradiction by creating a structured yet comprehensive approach that enhances spontaneity without excessive complexity
Solution Approach 2:
The system implements multi-stage feedback mechanisms based on the combination of interest and achievement levels. When interest is high, the system provides positive reinforcement to maintain motivation; when interest is low, it provides encouraging feedback to re-engage the target person. This feedback loop continuously adapts to the target person's state, significantly improving cleanup spontaneity while maintaining manageable system complexity through rule-based decision logic
2Productivity
If the system provides continuous feedback to maintain high achievement levels, then cleanup completion rate improves, but the target person's intrinsic motivation and spontaneity decreases
Solution Approach 1:
The feedback strategy dynamically adapts based on the detected interest level. When interest is high, the system reduces feedback frequency to preserve intrinsic motivation and allow spontaneous behavior. When interest drops or achievement is low, the system increases feedback intensity to maintain productivity. This dynamic adjustment resolves the contradiction by making the system responsive to the target person's motivational state rather than applying continuous uniform feedback
Solution Approach 2:
The system changes the parameters of feedback delivery based on the combination of interest and achievement levels. Feedback intensity, frequency, and type are adjusted as parameters according to the current state. For example, high interest with low achievement triggers encouraging feedback, while high interest with high achievement triggers minimal feedback to preserve spontaneity. This parameter-based adaptation maintains both productivity and intrinsic motivation
3Measurement precision
If the system monitors both interest level and achievement level with multiple sensors, then the accuracy of behavior support increases, but the system complexity and cost increases
Solution Approach 1:
The camera serves multiple functions: it monitors the target person's presence, analyzes facial expressions for interest level detection, tracks body language for engagement assessment, and provides visual data for behavior pattern recognition. This multi-functionality of a single device significantly reduces system complexity while maintaining high measurement precision through diverse data sources from the same sensor
Solution Approach 2:
The weight meter acts as an intermediary that provides objective achievement data without requiring direct visual monitoring of the cleanup process. By placing the weight meter in the storage container, the system automatically measures cleanup progress through weight changes, eliminating the need for complex image analysis of the cleanup action itself while maintaining precise achievement measurement
Data Source
AI summary
A cleanup support system that supports a cleanup behavior includes: a first obtaining unit configured to obtain first information indicating a level of interest of a target person in cleanup; a second obtaining unit configured to obtain second information indicating a level of achievement of the cleanup performed by the target person; a determination unit configured to determine a content of control corresponding to the first information obtained and the second information obtained, with reference to a rule which associates the level of interest in the cleanup and the level of achievement of the cleanup with a content of control performed on a device; and a control unit configured to control the device according to the content of control determined.