Adaptive Behavior Change Intervention System
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Solution Overview
Problem
Existing behavior change intervention systems face challenges in habituating target behaviors as financial incentives can lead to temporary changes, followed by decreased intrinsic motivation and eventual cessation of the behavior once incentives are stopped.
Innovation Solution
A behavior change intervention system that includes a decision section to obtain progress data on behavior change, a determination section to calculate a selection probability for intervention information based on progress data, and a provision section to provide targeted intervention information to the user based on this probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If financial incentives are continuously provided to maintain target behavior, then behavior continuation is achieved, but intrinsic motivation decreases and dependency on external rewards increases
Solution Approach 1:
The system dynamically adjusts the type and frequency of intervention information based on the user's behavior change progress. It transitions from providing extrinsic reward information to intrinsic reward information as progress improves, making the intervention strategy flexible and adaptive rather than static
Solution Approach 2:
The system changes the parameters of intervention information based on progress data. Specifically, it modifies the content type (from extrinsic to intrinsic rewards) and provision frequency based on the user's behavior change stage, achieving sustained behavior without continuously increasing financial incentives
2Duration of action of stationary object
If financial incentive amount is increased to maintain behavior, then behavior continuation is achieved, but cost increases
Solution Approach 1:
The system implements feedback by monitoring behavior change progress and using this information to adjust intervention strategies. The determination section calculates selection probabilities based on progress data, creating a closed-loop system that optimizes resource allocation without requiring continuous financial incentive increases
Solution Approach 2:
The system enables users to progress toward intrinsic motivation autonomously by providing tailored intervention information that supports their own behavior change journey, reducing the need for external financial incentives
3Speed
If intervention information is provided frequently to accelerate behavior change, then behavior change speed increases, but user information overload and annoyance increase
Solution Approach 1:
The provision frequency of intervention information is dynamically adjusted based on behavior change progress. The system provides more information when progress is slow and reduces frequency as progress improves, optimizing the balance between acceleration and user comfort
Solution Approach 2:
The system uses probability-based selection to provide intervention information selectively rather than continuously. By calculating selection probabilities and using random selection, it delivers sufficient information to drive behavior change while avoiding excessive provision that would cause annoyance
Data Source
AI summary
It is an object of the present invention to efficiently habituate a behavior of a target. A behavior change intervention system is provided. The behavior change intervention system includes a decision section configured to obtain progress data by deciding a progress of behavior change related to a target behavior of a target, a determination section configured to determine a selection probability of each type for selecting intervention information for the target, based on the progress data and a provision section configured to provide to the target with the intervention information for the target based on the selection probability.