Adaptive User Feedback System for Delivery Devices
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Solution Overview
Problem
Current delivery devices, such as e-cigarettes, lack responsiveness to the user's state, including mood and subjective needs, which can affect the interaction and perceived utility of the device.
Innovation Solution
A user feedback system that utilizes processors to obtain and analyze various user factors, such as neurological, physiological, contextual, and use-based data, to estimate the user's state and adjust the delivery of active ingredients accordingly, thereby enhancing the device's responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the device delivers active ingredients based on fixed protocols, then the device structure remains simple, but the responsiveness to user state is poor
Solution Approach 1:
The system implements feedback by continuously monitoring user state through multiple sensors (physiological, contextual, neurological) and adjusting active ingredient delivery based on this feedback. The processor receives sensor data, estimates user state, and modifies delivery parameters accordingly, creating a closed-loop adaptive system that responds to real-time user conditions.
Solution Approach 2:
The delivery system transitions from static fixed protocols to dynamic adaptive delivery. The processor continuously adjusts delivery parameters (dose, timing, frequency) based on real-time user state estimation, making the system flexible and responsive to changing user needs rather than following predetermined rigid schedules.
2Measurement precision
If multiple sensors and data sources are integrated, then user state estimation accuracy improves, but device complexity increases
Solution Approach 1:
The system employs a multi-functional processor that handles diverse data types from various sensors (physiological, contextual, neurological). This single processor performs multiple functions including data acquisition, processing, user state estimation, and delivery control, consolidating complexity into one component rather than requiring separate specialized systems for each sensor type.
Solution Approach 2:
The patent combines multiple data sources (sensor data, user profile information, contextual data) into a unified user state estimation model. The processor integrates these diverse data types through a cohesive algorithm that synthesizes information from different sources into a comprehensive understanding of user state, reducing the complexity of managing separate analysis systems.
3Adaptability or versatility
If real-time data processing is implemented, then responsiveness to user needs improves, but energy consumption increases
Solution Approach 1:
The system implements periodic sampling of user state parameters rather than continuous monitoring. The processor updates user state estimation at predetermined time intervals based on available sensor data, maintaining real-time responsiveness while reducing energy consumption compared to continuous processing. This periodic approach allows the system to respond to changes in user state without requiring constant computational resources.
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 system improves the device's responsiveness to the user's state, potentially leading to a more satisfying experience by optimizing the delivery of active ingredients based on real-time user data.
Implementation Method 1
an electric current is supplied to the heater, e.g. resistance heating element
Implementation Method 2
electrical power is supplied to the heating element to vaporize the aerosol source (a portion of the payload) in the vicinity of the heating element, to generate an aerosol for inhalation by the user
Implementation Method 3
a reservoir of a source liquid containing a formulation, typically including nicotine, from which an aerosol is generated
Data Source
AI summary
A user feedback system for a user of a delivery device within a delivery ecosystem includes an estimation processor adapted to identify at least a first feedback action based upon one or more user factors, the feedback action being expected to alter a state of the user as indicated at least in part by the one or more user factors; a first feedback device of a non-delivery ecosystem including a means of implementing at least part of a first identified feedback action; and a feedback processor adapted to select at least a first identified feedback action, and to cause a modification of one or more operations of at least the first device within the non-delivery ecosystem, according to the or each selected feedback action.