Devices and methods for cessation of nicotine addiction
Vaporizers and vaporizer systems, which can include a device in communication with a vaporizer, can include one or more features related to control of functions and/or features of the vaporizer. A method for operating a vaporizer device is provided. The method includes determining a delivery pattern for providing a first puff containing an amount of a first vaporizable material and a second puff containing an amount of a second vaporizable material. The first vaporizable material includes a first substance and the second vaporizable material does not include the first substance. The method further includes providing a plurality of puffs from a vaporizer. The plurality of puffs based on the delivery pattern and including the first puff and the second puff. The method further includes receiving user feedback associated with the delivery pattern in response to the providing. The method further includes modifying the delivery pattern based on the user feedback.
1. A method comprising:
determining, by one or more processors, a delivery pattern in which a first quantity of puffs of a first aerosolizable material comprising nicotine alternate with a second quantity of puffs of a second aerosolizable material comprising citric acid, wherein the second aerosolizable material does not include nicotine, wherein determining the delivery pattern includes determining a ratio between the first quantity of puffs and the second quantity of puffs to deliver a quantity of nicotine over a time period;
providing, based on the delivery pattern, the first quantity of puffs alternating with the second quantity of puffs;
receiving, by the one or more processors and in response to the providing, user feedback associated with the delivery pattern; and
modifying, by the one or more processors and based on the user feedback, the delivery pattern,
wherein modifying the delivery patterns comprises intermittently providing modified delivery patterns which differ from an expected optimal delivery pattern, and modifying, based on user feedback from the provided patterns, the delivery pattern,
wherein individual modified delivery pattern comprises a sequence of providing the first aerosolizable material alternating with the second aerosolizable material,
wherein the individual modified delivery pattern is different from the expected optimal delivery pattern, the expected optimal delivery pattern comprising a sequence of providing the first aerosolizable material alternating with the second aerosolizable material.
2. The method of claim 1 , wherein modifying the delivery pattern comprises decreasing the first quantity of puffs in the ratio to reduce the quantity of nicotine delivered over the time period.
3. The method of claim 1 , wherein the first quantity of puffs in the delivery pattern is different from the second quantity of puffs in the delivery pattern.
4. The method of claim 1 , wherein modifying the delivery pattern comprises adjusting a consistency of the first quantity of puffs and/or the second quantity of puffs in the delivery pattern.
5. The method of claim 1 , wherein determining the delivery pattern is based on a user profile, the user profile comprising a program for reducing consumption of combustible cigarettes and/or nicotine.
6. The method of claim 1 , wherein providing the first quantity of puffs alternating with the second quantity of puffs comprises:
heating the first aerosolizable material in a first reservoir of a cartridge to generate each puff of the first quantity of puffs; and
heating the second aerosolizable material in a second reservoir of the cartridge to generate each puff of the second quantity of puffs.
7. The method of claim 1 , wherein determining the delivery pattern is based on receiving the user feedback via user interaction with a user interface.
8. The method of claim 7 , wherein receiving the user feedback comprises processing the user interaction by an application executing on the one or more processors.
9. The method of claim 7 , wherein the user input comprises at least one of: an age, a height, a weight, an ethnicity, a location, a type of current smoking devices used, a current smoking/tobacco/nicotine use, a past smoking/tobacco/nicotine use, a current and/or a past vaporizer use, a user behavior, a length of smoking/tobacco/nicotine use, an eating habit, an exercise habit, a motivation for quitting smoking, a personality type, a time period, a desired reduction in nicotine, and a flavor preference.
10. The method of claim 1 , wherein the user feedback comprises at least one of: a current level of satisfaction, a craving, or a desire for a cigarette, a time since last combusted cigarette, a number of cigarettes smoked per day, a level of satisfaction after an aerosolizer puff, a location of cigarette use, an activity that accompanied the cigarette use, whether the user smoked the cigarette alone or in a group, and a time of day of cigarette use.
11. The method of claim 1 , wherein receiving the user feedback comprises receiving the user feedback from at least one of: an application executing on the one or more processors, a sensor detecting a gesture of the aerosolizer, a sensor detecting a gesture of a user, a touch sensor, a motion sensor, a selection of an input on the aerosolizer and/or a user interface, and a processor determining learned behavior from past user interaction with the aerosolizer.
12. The method of claim 1 , wherein modifying the delivery pattern comprises adjusting a quantity of the first quantity of puffs and/or a quantity of the second quantity of puffs in the delivery pattern.
13. The method of claim 1 , wherein modifying the delivery pattern comprises tuning the delivery pattern based on a machine learning algorithm.
14. The method of claim 1 , wherein modifying the delivery pattern comprises updating the delivery pattern based on the user feedback and feedback received from a plurality of other users.
15. The method of claim 1 , wherein determining the delivery pattern further includes determining a concentration of nicotine in each puff of the first quantity of puffs such that the quantity of nicotine is delivered over the time period.
16. The method of claim 1 , wherein modifying the delivery pattern comprises applying a machine learning model to tune, based on the user feedback, the ratio to a level sufficient to satisfy a user craving for nicotine.
17. A vaporizer comprising:
at least one processor; and
at least one memory storing instructions which, when executed by the at least one processor, cause the vaporizer to at least:
determine, by one or more processors, a delivery pattern in which a first quantity of puffs of a first aerosolizable material comprising nicotine alternate with a second quantity of puffs of a second aerosolizable material comprising citric acid, wherein the second aerosolizable material does not include nicotine, wherein the delivery pattern includes a ratio between the first quantity of puffs and the second quantity of puffs to deliver a quantity of nicotine is delivered over a time period;
provide, based on the delivery pattern, the first quantity of puffs alternating with the second quantity of puffs;
receive, by the one or more processors and in response to the providing, user feedback associated with the delivery pattern; and
modify, by the one or more processors and based on the user feedback, the delivery pattern,
wherein modifying the delivery patterns comprises intermittently providing modified delivery patterns which differ from an expected optimal delivery pattern, and modifying, based on user feedback from the provided patterns, the delivery pattern,
wherein individual modified delivery pattern comprises a sequence of providing the first aerosolizable material alternating with the second aerosolizable material,
wherein the individual modified delivery pattern is different from the expected optimal delivery pattern, the expected optimal delivery pattern comprising a sequence of providing the first aerosolizable material alternating with the second aerosolizable material.
18. The vaporizer of claim 17 , wherein the delivery pattern is modified based on decreasing the first quantity of puffs in the ratio to reduce the quantity of nicotine delivered over the time period.
19. The vaporizer of claim 17 , wherein the first quantity of puffs in the delivery pattern is different from the second quantity of puffs in the delivery pattern.
20. The vaporizer of claim 17 , wherein the delivery pattern is determined based on a user profile, the user profile comprising a program for reducing consumption of combustible cigarettes and/or nicotine.
21. The vaporizer of claim 17 , wherein the first quantity of puffs alternating with the second quantity of puffs are provided based on the vaporizer being further caused to at least:
heat the first aerosolizable material in a first reservoir of a cartridge to generate each puff of the first quantity of puffs; and
heat the second aerosolizable material in a second reservoir of the cartridge to generate each puff of the second quantity of puffs.
22. The vaporizer of claim 17 , wherein the delivery pattern is determined based on receiving the user feedback by interaction of the user with a user interface.
23. The vaporizer of claim 17 , wherein the delivery pattern further includes a concentration of nicotine in each puff of the first quantity of puffs such that the quantity of nicotine is delivered over the time period.
24. The vaporizer of claim 17 , wherein the delivery pattern is modified based on applying a machine learning model to tune, based on the user feedback, the ratio to a level sufficient to satisfy a user craving for nicotine.