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, like nicotine, to match the user's baseline levels, thereby altering their state for improved mood and satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If delivery devices provide fixed dosage delivery without user state monitoring, then device complexity is reduced, but adaptability to user needs deteriorates
Solution Approach 1:
The system continuously monitors user state through sensors detecting physiological parameters (heart rate, temperature, galvanic skin response) and usage patterns, then feeds this information back to the controller which adjusts active ingredient delivery in real-time. This closed-loop feedback mechanism enables the device to adapt to user needs dynamically while maintaining manageable complexity through automated control algorithms.
Solution Approach 2:
The delivery device integrates multiple functions into a single system: it monitors physiological state, tracks usage patterns, processes data to estimate user state, and delivers active ingredients. This multi-functionality approach consolidates what could be separate devices into one unified system, improving adaptability without proportionally increasing complexity.
2Ease of operation
If the system continuously monitors and adjusts delivery based on user state, then user satisfaction is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic sampling of user state rather than continuous monitoring, adjusting the frequency of measurements based on delivery phase and user activity. During active delivery, monitoring frequency increases to ensure optimal dosing, while between deliveries, monitoring occurs at lower frequency to conserve energy. This periodic approach maintains user satisfaction while managing power consumption of sensors and processors.
Solution Approach 2:
The system dynamically changes operational parameters including sensor activation states, processing intensity, and delivery rate based on user state and delivery phase. Energy-consuming components are activated only when needed, and delivery parameters are adjusted to match user requirements, reducing overall energy consumption while maintaining high user satisfaction through state-responsive delivery.
3Measurement precision
If the system collects and processes multiple user factors to estimate user state, then measurement precision of user state is improved, but device complexity increases
Solution Approach 1:
The system segments user state estimation into distinct components: physiological state (from biometric sensors), usage state (from delivery pattern analysis), and contextual state (from environmental and historical data). Each segment is processed separately by dedicated algorithms, then integrated to form the overall user state estimate. This segmentation improves measurement precision through specialized processing while managing complexity by organizing data handling into modular, manageable sections.
Solution Approach 2:
The system introduces an intermediary processing layer that aggregates raw data from multiple sensors and sources, transforms it into meaningful user state indicators, and presents this processed information to the delivery control system. This intermediary layer simplifies the complexity of handling multiple data streams by providing a standardized interface and pre-processed information, enabling accurate user state estimation without overwhelming the control system.
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 enhances the responsiveness of delivery devices to user states, leading to improved user experience by maintaining optimal levels of active ingredients, thereby increasing user satisfaction and mood alignment.
Implementation Method 1
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. When a user inhales on the device, 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 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 a first device other than the delivery device and including a sensor platform with at least a first sensor operable to detect at least a first physical property associated with the user; the first device including a processor adapted to submit data of the detected at least first physical property to an obtaining processor adapted to output data based upon the or each detected physical property as all or part of a user factor indicative of a user state; and an estimation processor adapted to identify a corresponding feedback action expected to alter a state of the user as indicated at least in part by the or each detected physical property.