User Feedback Control for State-Responsive Aerosol Delivery
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Solution Overview
Problem
Existing aerosol provision systems, such as e-cigarettes, lack responsiveness to the user's state, which influences interaction and perceived utility.
Innovation Solution
A user feedback system and method that utilizes a delivery ecosystem comprising multiple devices to obtain user factors, estimate the user's state, and select feedback actions to alter the state through devices like e-cigarettes, smartphones, and servers, incorporating processors to analyze and process data for personalized feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a delivery device provides fixed/deterministic active ingredient delivery, then manufacturing and operation are simple, but adaptability to user state is poor
Solution Approach 1:
The system is divided into multiple independent components: delivery device, companion device, and server. Each component performs specific functions (delivery, data collection/processing, centralized coordination), allowing the system to achieve high adaptability without requiring each individual device to be overly complex. The segmentation enables distributed intelligence while maintaining operational simplicity at the device level.
Solution Approach 2:
The companion device and server act as intermediaries between the user state and the delivery device. The companion device collects user factor data and communicates with the server, which processes the data and generates feedback actions. This intermediary layer shields the delivery device from direct complexity while enabling sophisticated state-responsive delivery through centralized processing.
2Adaptability or versatility
If multiple devices are integrated in delivery ecosystem, then adaptability and feedback capability improve, but device complexity increases
Solution Approach 1:
The server performs multiple functions: receiving user factor data, processing data to estimate user state, determining feedback actions, and communicating with delivery devices. This multi-functionality consolidates complex processing in a centralized location, allowing individual devices to remain relatively simple while the ecosystem as a whole achieves high adaptability through the server's universal capabilities.
Data Source
AI summary
A user feedback system for a user of a delivery device within a delivery ecosystem includes an obtaining processor adapted to obtain one or more user factors indicative of a state of the user, and an estimation processor adapted to identify a one-step or two-step correspondence between the obtained one or more user factors indicative of user state and at least a first feedback action, 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.