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 includes an estimation processor to identify feedback actions based on user factors and a feedback processor to modify device operations, such as altering the amount or nature of active ingredients delivered, to better match the user's state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the delivery device operates with fixed parameters regardless of user state, then the device structure remains simple, but the responsiveness to user needs deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms where usage data and user state information are continuously monitored and fed back to adjust delivery parameters. The processor receives input about user state, compares it with historical usage patterns, and automatically adjusts active ingredient delivery accordingly, creating a closed-loop adaptive system.
Solution Approach 2:
The delivery device transitions from static fixed parameters to dynamic adjustable parameters. The system can modify delivery characteristics in real-time based on detected user state changes, allowing the same hardware to adapt its behavior dynamically rather than remaining fixed throughout operation.
2Adaptability or versatility
If the device delivers active ingredients based on fixed patterns, then manufacturing and operation are simplified, but the perceived utility and user satisfaction deteriorate
Solution Approach 1:
The system performs self-adjustment based on automatically collected usage data and detected user state. Rather than requiring manual user input or configuration, the device autonomously analyzes its own operation patterns and modifies delivery parameters accordingly, serving itself rather than requiring continuous user intervention.
Solution Approach 2:
The system dynamically modifies delivery parameters such as active ingredient concentration, delivery timing, and amount based on detected user state changes and historical usage patterns. These parameter adjustments occur automatically without changing the fundamental operation of the device, maintaining ease of use while improving personalization.
3Reliability
If the device lacks state monitoring capabilities, then the device remains simple, but the ability to improve delivery based on user state deteriorates
Solution Approach 1:
The system uses an intermediary processing layer that receives raw data from various sources, processes it into meaningful user state information, and translates that into appropriate delivery adjustments. This intermediary layer abstracts the complexity of data collection and processing from the core delivery mechanism, allowing reliable state-responsive delivery without directly complicating the main device architecture.
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
Enhances the responsiveness of delivery devices to user state, improving the interaction and perceived utility by tailoring the delivery of active ingredients to the user's needs.
Implementation Method 1
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 2
A source liquid containing a formulation, in many embodiments including nicotine, from which an aerosol is generated, e.g. through heat vaporization. An aerosol source for an aerosol provision system may thus comprise a heater having a heating element arranged to receive source liquid from the reservoir, for example through wicking/capillary action.
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 at least first feedback action relating to an amount or nature of an active ingredient delivered by the delivery device, 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; 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 a first device within the delivery ecosystem, according to the or each selected feedback action.