Dynamic Substance Delivery Regimen Planning System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for delivering active substances to users lack the ability to automatically generate a personalized delivery regimen based on the user's activities and preferred experiences, leading to suboptimal effects and potential misuse.
Innovation Solution
A method and system that automatically generate a delivery regimen for active substances by processing user input on activities and preferred experiences, estimating the timing and magnitude of effects, and adjusting delivery times and amounts to optimize the user's experience while adhering to safety limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed delivery regimen is used for active substances, then the delivery device is simple to operate, but the user experience is suboptimal and effects are not personalized
Solution Approach 1:
The delivery regimen is transformed from a fixed static schedule to a dynamic adaptive schedule that automatically adjusts delivery times and amounts based on real-time user activity data, physiological state, and effect timing preferences, enabling personalization without increasing operational complexity for the user
Solution Approach 2:
The system performs self-adjustment by automatically processing user input data, estimating effect timing and magnitude, and generating optimized delivery regimens without requiring manual intervention or complex user configuration, maintaining ease of operation while achieving personalization
2Productivity
If delivery times and amounts are not optimized based on effect timing, then the delivery device is simple, but the user experience and effectiveness are suboptimal
Solution Approach 1:
The system performs preliminary estimation of effect timing and magnitude based on user input data before actual delivery occurs, allowing the delivery regimen to be pre-optimized for maximum effectiveness while the user experiences no additional complexity during operation
Solution Approach 2:
A processing system acts as an intermediary between the user and the delivery device, automatically translating user preferences and activity data into optimized delivery schedules, thereby improving effectiveness without exposing the user to system complexity
3Adaptability or versatility
If the system monitors and adjusts delivery based on user activities and effects, then personalized optimization is achieved, but the system complexity increases
Solution Approach 1:
The processing system performs multiple functions including data reception, effect timing estimation, magnitude estimation, regimen generation, and delivery control within a single integrated system, achieving personalization capability without proportionally increasing overall system complexity through functional consolidation
Data Source
AI summary
Some embodiments relate to a method for generating a delivery regimen of at least one active substance to a user, comprising: receiving input including one or both of timed activities to be engaged by the user, timed preferred user experiences; and automatically generating a delivery regimen including at least one of delivery times and amounts of the at least one active substance, based on: (a) estimating at least one of a timing and magnitude of at least one effect expected to be induced by the at least one active substance on the user; and (b) estimating an impact of the at least one effect on the timed activities and/or the timed preferred user experiences.