Aerosol Delivery System Mood Adaptation via Computing Device
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Solution Overview
Problem
Existing aerosol delivery systems, such as e-cigarettes, do not effectively adapt to user mood, leading to inconsistent payload delivery based on user emotional states like stress or relaxation.
Innovation Solution
A computing device communicates with an aerosol provision system to obtain data on user mood through various variables (weather, facial expression, voice stress, etc.) and adjusts operational parameters, such as heater temperature or flavor composition, to optimize aerosol delivery based on calculated mood indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the aerosol provision system uses fixed operational parameters for payload delivery, then the device structure remains simple, but the system cannot adapt to user mood changes resulting in inconsistent delivery effectiveness
Solution Approach 1:
A computing device serves as an intermediary between the user and the aerosol provision system. The computing device collects mood data from various sources (wearable devices, mobile devices), processes this data to determine user mood state, and sends control signals to adjust operational parameters of the aerosol provision system. This intermediary approach enables mood-based adaptation without requiring complex mood detection hardware integrated into the aerosol device itself.
Solution Approach 2:
The system implements a feedback loop where mood data is continuously collected, processed, and used to adjust operational parameters in real-time. The computing device receives ongoing mood indicators, calculates appropriate parameter adjustments, and sends control signals back to the aerosol provision system, creating a closed-loop control mechanism that adapts to changing user states.
2Measurement precision
If the system collects and processes multiple mood data variables, then mood detection accuracy improves, but the complexity of data processing and system configuration increases
Solution Approach 1:
The computing device performs multiple functions: it collects mood data from various sources (wearable devices, mobile devices), processes this data using machine learning algorithms, determines user mood state, and controls aerosol provision parameters. By consolidating these diverse functions into a single multi-functional computing device, the system achieves accurate mood detection without proportionally increasing overall system complexity.
Solution Approach 2:
The system utilizes existing personal devices (wearable devices, mobile devices) that users already possess and use daily. These devices self-collect relevant data (heart rate, activity level, location, time) without requiring additional specialized sensors or measurement equipment. The computing device then processes this readily available data to infer mood state, reducing the need for complex dedicated mood detection hardware.
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 user experience by delivering the right amount and type of active ingredients or flavoring in response to the user's mood, improving the overall effectiveness and satisfaction of aerosol provision.
Implementation Method 1
heat vaporization
Implementation Method 2
heat generated by the heating element is used to vaporize
Implementation Method 3
through wicking/capillary action
Data Source
AI summary
A computing device configured to communicate with an aerosol provision device is disclosed. The computing device is configured to obtain at least part of a data set, comprising data indicative of a mood of a user of the aerosol provision device as a function of a predetermined variable, calculate, on the basis of at least part of the data and a current value of the predetermined variable, an adjustment to one or more operational parameters for controlling the operation of an aerosol provision device of the user, and provide the calculated adjustment of the one or more operational parameters to the aerosol provision device of the user.