WO2024127502A1

WO2024127502A1 - Information processing device, information processing method, and program

Info

Publication number: WO2024127502A1
Application number: PCT/JP2022/045866
Authority: WO
Inventors: 郁夫藤長
Original assignee: 日本たばこ産業株式会社
Priority date: 2022-12-13
Filing date: 2022-12-13
Publication date: 2024-06-20

Abstract

[Problem] To provide a mechanism capable of further improving the quality of user experience. [Solution] Provided is an information processing device comprising a control unit (116) that generates control information to be used by an inhalation device (100), the inhalation device heating an aerosol source to generate aerosol on the basis of the control information, wherein the control information defines a parameter relating to a temperature at which the aerosol source is heated, the control unit collects a plurality of training data including a combination of first control information, an evaluation set for the first control information, and second control information, the second control information is to be generated on the basis of the first control information and the evaluation set for the first control information, and the control unit generates the control information to be used by the inhalation device of a first user on the basis of a generation model for the control information trained on the basis of the collected plurality of training data.

Description

Information processing device, information processing method, and program

This disclosure relates to an information processing device, an information processing method, and a program.

Inhalation devices, such as electronic cigarettes and nebulizers, that generate substances to be inhaled by users are in widespread use. For example, inhalation devices generate aerosol imparted with flavor components using a substrate that includes an aerosol source for generating aerosol and a flavor source for imparting flavor components to the generated aerosol. Users can taste the flavor by inhaling the aerosol imparted with flavor components generated by the inhalation device. The action of a user inhaling an aerosol is hereinafter also referred to as a puff or a puffing action.

　Each user has different preferences for the flavor they experience when puffing. Therefore, it is preferable that the temperature at which the aerosol source is heated, which directly affects the flavor, be customizable by the user. The following Patent Document 1 discloses a technology that allows the user to customize the temperature at which the aerosol source is heated.

International Publication No. 2019/104227

However, the technology described in Patent Document 1 has only recently been developed, and there is still room for improvement in various respects.

The present disclosure has been made in light of the above problems, and the purpose of the present disclosure is to provide a mechanism that can further improve the quality of the user experience.

In order to solve the above problem, according to one aspect of the present invention, an information processing device is provided that includes a control unit that generates control information used by an inhalation device that generates an aerosol by heating an aerosol source based on control information that defines parameters related to the temperature at which the aerosol source is heated, and the control unit collects multiple pieces of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information, and generates the control information used by the inhalation device of a first user based on a generation model of the control information learned based on the collected multiple pieces of teacher data.

The control unit may generate changed control information to be used by the suction device of the first user by inputting the pre-change control information used by the suction device of the first user and an evaluation set by the first user for the pre-change control information into the generation model.

The teacher data may include the first control information used by the suction device of the first user, an evaluation set by the first user for the first control information, and the second control information set by the first user with a better evaluation than the first control information.

The control unit may collect the teacher data during a process of repeating a customization process that includes generating changed control information to be used by the suction device of the first user based on the pre-change control information used by the suction device of the first user and an evaluation set by the first user for the pre-change control information.

The teacher data includes the control information before the change in the first customization process as the first control information, and includes the control information after the change in the second customization process as the second control information, and the second customization process may be the same as the first customization process or a customization process repeated after the first customization process.

The control unit may, during the process of repeating the customization process, replace the second control information included in the collected teacher data with the changed control information having a better rating than the second control information.

The teacher data may include the first control information used by a suction device of a second user other than the first user, an evaluation set by the second user for the first control information, and the second control information set by the second user with a better evaluation than the first control information.

The teacher data may further include an evaluation set in the second control information.

The teacher data may further include information indicating attributes of a user of the suction device that uses the first control information, and the control unit may generate the control information to be used by the suction device of the first user based on the teacher data that includes information indicating attributes identical to the attributes of the first user.

The teacher data may further include information indicating the type of the aerosol source heated based on the first control information, and the control unit may generate the control information to be used by the inhalation device of the first user based on the teacher data including information indicating the same type of aerosol source as the type of the aerosol source heated by the inhalation device of the first user.

The teacher data may further include information indicating the type of the suction device using the first control information, and the control unit may generate the control information to be used by the suction device of the first user based on the teacher data including information indicating the same type as the suction device of the first user.

In addition, in order to solve the above problem, according to another aspect of the present invention, there is provided an information processing method executed by a computer, the information processing method including generating control information used by an inhalation device that generates an aerosol by heating an aerosol source based on control information that defines parameters related to the temperature at which the aerosol source is heated, the generating of the control information including collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information, and generating the control information used by the inhalation device of a first user based on a generation model of the control information learned based on the collected plurality of teacher data.

In order to solve the above problem, according to another aspect of the present invention, a program is provided that causes a computer to function as a control unit that generates control information used by an inhalation device that generates an aerosol by heating an aerosol source based on control information that defines parameters related to the temperature at which the aerosol source is heated, and the control unit collects multiple pieces of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information, and generates the control information used by the inhalation device of a first user based on a generation model of the control information learned based on the collected multiple pieces of teacher data.

As explained above, this disclosure makes it possible to further improve the quality of the user experience.

FIG. 1 is a diagram illustrating an example of a configuration of a system according to an embodiment of the present disclosure. 2 is a schematic diagram showing a configuration example of a suction device according to the embodiment; FIG. FIG. 2 is a block diagram showing a configuration example of a terminal device according to the embodiment. FIG. 2 is a block diagram showing an example of the configuration of a server according to the embodiment. 1 is a graph showing a schematic example of a heating profile. FIG. 2 is a diagram for explaining a generation model according to the embodiment. 11 is a sequence diagram showing an example of the flow of a customization process executed by the system according to the embodiment. FIG. 13 is a flowchart showing an example of the flow of a teacher data collection process executed by the server according to the embodiment.

Below, a preferred embodiment of the present disclosure will be described in detail with reference to the attached drawings. Note that in this specification and drawings, components having substantially the same functional configurations are designated by the same reference numerals to avoid redundant description.

Furthermore, in this specification and drawings, elements having substantially the same functional configuration may be distinguished by adding different letters after the same reference numeral. For example, multiple elements having substantially the same functional configuration may be distinguished as necessary, such as suction device 100A and suction device 100B. However, if there is no particular need to distinguish between multiple elements having substantially the same functional configuration, only the same reference numeral may be used. For example, if there is no particular need to distinguish between suction device 100A and suction device 100B, they will simply be referred to as suction device 100.

<1. Configuration example>
FIG. 1 is a diagram showing an example of the configuration of a system 1 according to the present embodiment. As shown in FIG. 1, the system 1 includes a plurality of suction devices 100 (100A and 100B), a plurality of terminal devices 200 (200A and 200B), and a server 300.

The inhalation device 100 is a device that generates a substance to be inhaled by a user. In the following description, the substance generated by the inhalation device 100 is described as an aerosol. The inhalation device 100 is an example of an aerosol generating device that generates an aerosol. Alternatively, the substance generated by the inhalation device may be a gas. The inhalation device 100 can accommodate a stick-type substrate 150. The inhalation device 100 generates an aerosol using the accommodated stick-type substrate 150. The stick-type substrate 150 is an example of a substrate that contributes to the generation of an aerosol. The stick-type substrate 150 contains an aerosol source. The inhalation device 100 generates an aerosol by heating the accommodated stick-type substrate 150.

The terminal device 200 is a device used by a user of the suction device 100. The terminal device 200 is associated with the suction device 100. The suction device 100 and the terminal device 200 may be paired in advance for wireless communication, or the fact that the users of the suction device 100 and the terminal device 200 are the same may be registered in advance in the server 300. The terminal device 200 may be any device such as a smartphone, a tablet terminal, a wearable device, or a PC (Personal Computer). Alternatively, the terminal device 200 may be a charger that charges the suction device 100.

The server 300 is a control device that manages information about each device included in the system 1. The server 300 communicates with the terminal device 200 via the network 900. In particular, the server 300 communicates indirectly with the suction device 100 via the terminal device 200. The server 300 may perform various processes based on information collected from the suction device 100 via the terminal device 200. Alternatively, the server 300 may perform various processes based on user operations performed on the terminal device 200.

System 1 includes multiple suction devices 100 and multiple terminal devices 200 used by multiple users. As an example, a user who uses suction device 100A and terminal device 200A is also referred to as user A. Also, a user who uses suction device 100B and terminal device 200B is also referred to as user B.

(1) Configuration Example of Suction Device Fig. 2 is a schematic diagram showing a configuration example of the suction device 100. As shown in Fig. 2, the suction device 100 according to this configuration example includes a power supply unit 111, a sensor unit 112, a notification unit 113, a storage unit 114, a communication unit 115, a control unit 116, a heating unit 121, a storage unit 140, and a heat insulating unit 144.

The power supply unit 111 stores power. The power supply unit 111 supplies power to each component of the suction device 100 under the control of the control unit 116. The power supply unit 111 may be configured, for example, by a rechargeable battery such as a lithium ion secondary battery.

The sensor unit 112 acquires various information related to the suction device 100. As one example, the sensor unit 112 is configured with a pressure sensor such as a condenser microphone, a flow sensor, or a temperature sensor, and acquires values associated with suction by the user. As another example, the sensor unit 112 is configured with an input device such as a button or switch that accepts information input from the user.

The notification unit 113 notifies the user of information. The notification unit 113 is composed of, for example, a light-emitting device that emits light, a display device that displays an image, a sound output device that outputs sound, or a vibration device that vibrates.

The storage unit 114 stores various information for the operation of the suction device 100. The storage unit 114 is configured, for example, from a non-volatile storage medium such as a flash memory.

The communication unit 115 is a communication interface capable of performing communication conforming to any wired or wireless communication standard. Such communication standards may include, for example, standards using Wi-Fi (registered trademark), Bluetooth (registered trademark), BLE (Bluetooth Low Energy (registered trademark)), NFC (Near Field Communication), or LPWA (Low Power Wide Area).

The control unit 116 functions as an arithmetic processing unit and a control unit, and controls the overall operation of the suction device 100 in accordance with various programs. The control unit 116 is realized by an electronic circuit such as a CPU (Central Processing Unit) or a microprocessor.

The storage section 140 has an internal space 141 and holds the stick-shaped substrate 150 while storing a part of the stick-shaped substrate 150 in the internal space 141. The storage section 140 has an opening 142 that connects the internal space 141 to the outside, and stores the stick-shaped substrate 150 inserted into the internal space 141 through the opening 142. For example, the storage section 140 is a cylindrical body with the opening 142 and the bottom 143 as the bottom surface, and defines a columnar internal space 141. An air flow path that supplies air to the internal space 141 is connected to the storage section 140. An air inlet hole, which is an air inlet to the air flow path, is arranged, for example, on the side of the suction device 100. An air outlet hole, which is an air outlet from the air flow path to the internal space 141, is arranged, for example, on the bottom 143.

The stick-type substrate 150 includes a substrate portion 151 and a mouthpiece portion 152. The substrate portion 151 includes an aerosol source. The aerosol source includes a flavor component derived from tobacco or non-tobacco. When the inhalation device 100 is a medical inhaler such as a nebulizer, the aerosol source may include a medicine. The aerosol source may be, for example, a liquid such as a polyhydric alcohol such as glycerin and propylene glycol, and water, which includes a flavor component derived from tobacco or non-tobacco, or may be a solid containing a flavor component derived from tobacco or non-tobacco. When the stick-type substrate 150 is held in the storage portion 140, at least a part of the substrate portion 151 is stored in the internal space 141, and at least a part of the mouthpiece portion 152 protrudes from the opening 142. When the user holds the mouthpiece portion 152 protruding from the opening 142 in his/her mouth and inhales, air flows into the internal space 141 via an air flow path (not shown) and reaches the user's mouth together with the aerosol generated from the substrate portion 151.

The heating unit 121 generates aerosol by heating the aerosol source and atomizing the aerosol source. In the example shown in FIG. 2, the heating unit 121 is configured in a film shape and is arranged to cover the outer periphery of the storage unit 140. When the heating unit 121 generates heat, the substrate unit 151 of the stick-shaped substrate 150 is heated from the outer periphery, and an aerosol is generated. The heating unit 121 generates heat when power is supplied from the power supply unit 111. As an example, power may be supplied when the sensor unit 112 detects that the user has started inhaling and/or that specific information has been input. Power supply may be stopped when the sensor unit 112 detects that the user has stopped inhaling and/or that specific information has been input.

The insulating section 144 prevents heat transfer from the heating section 121 to other components. For example, the insulating section 144 is made of a vacuum insulating material or an aerogel insulating material.

The above describes an example of the configuration of the suction device 100. Of course, the configuration of the suction device 100 is not limited to the above, and various configurations such as those exemplified below are possible.

As one example, the heating unit 121 may be configured in a blade shape and disposed so as to protrude from the bottom 143 of the storage unit 140 into the internal space 141. In that case, the blade-shaped heating unit 121 is inserted into the substrate 151 of the stick-shaped substrate 150 and heats the substrate 151 of the stick-shaped substrate 150 from the inside. As another example, the heating unit 121 may be disposed so as to cover the bottom 143 of the storage unit 140. Furthermore, the heating unit 121 may be configured as a combination of two or more of a first heating unit that covers the outer periphery of the storage unit 140, a blade-shaped second heating unit, and a third heating unit that covers the bottom 143 of the storage unit 140.

As another example, the storage unit 140 may include an opening/closing mechanism such as a hinge that opens and closes a portion of the outer shell that forms the internal space 141. The storage unit 140 may then open and close the outer shell to accommodate the stick-shaped substrate 150 inserted into the internal space 141 while clamping it. In this case, the heating unit 121 may be provided at the clamping location in the storage unit 140, and may heat the stick-shaped substrate 150 while pressing it.

The means for atomizing the aerosol source is not limited to heating by the heating unit 121. For example, the means for atomizing the aerosol source may be induction heating. In that case, the suction device 100 has at least an electromagnetic induction source such as a coil that generates a magnetic field, instead of the heating unit 121. A susceptor that generates heat by induction heating may be provided in the suction device 100, or may be included in the stick-shaped substrate 150.

Note that the inhalation device 100 works in cooperation with the stick-shaped substrate 150 to generate an aerosol that is inhaled by the user. Therefore, the combination of the inhalation device 100 and the stick-shaped substrate 150 may be considered as an aerosol generation system.

(2) Example of the Configuration of the Terminal Device Fig. 3 is a block diagram showing an example of the configuration of the terminal device 200 according to this embodiment. As shown in Fig. 3, the terminal device 200 includes an input unit 210, an output unit 220, a detection unit 230, a communication unit 240, a storage unit 250, and a control unit 260.

The input unit 210 has a function of accepting input of various information. The input unit 210 may include an input device that accepts input of information from a user. Examples of the input device include a button, a keyboard, a touch panel, and a microphone. The input unit 210 may also include various sensors such as an image sensor.

The output unit 220 has a function of outputting information. The output unit 220 may include an output device that outputs information to the user. Examples of output devices include a display device that displays information, a light-emitting device that emits light, a vibration device that vibrates, and a sound output device that outputs sound. An example of a display device is a display. An example of a light-emitting device is an LED (Light Emitting Diode). An example of a vibration device is an eccentric motor. An example of a sound output device is a speaker. The output unit 220 notifies the user of the information by outputting the information input from the control unit 260.

The detection unit 230 has a function of detecting information related to the terminal device 200. The detection unit 230 may detect position information of the terminal device 200. For example, the detection unit 230 receives a GNSS signal from a Global Navigation Satellite System (GNSS) satellite (for example, a GPS signal from a Global Positioning System (GPS) satellite) and detects position information consisting of the latitude and longitude of the device. The detection unit 230 may detect the movement of the terminal device 200. For example, the detection unit 230 includes a gyro sensor and an acceleration sensor, and detects angular velocity and acceleration.

The communication unit 240 is a communication interface for transmitting and receiving information between the terminal device 200 and other devices. The communication unit 240 performs communication conforming to any wired or wireless communication standard. As such a communication standard, for example, a standard using USB (Universal Serial Bus), Wi-Fi (registered trademark), Bluetooth (registered trademark), NFC (Near Field Communication), or LPWA (Low Power Wide Area) can be adopted.

The storage unit 250 stores various information. The storage unit 250 is configured, for example, with a non-volatile storage medium such as a flash memory.

The control unit 260 functions as a calculation processing unit or control unit, and controls the overall operation of the terminal device 200 according to various programs. The control unit 260 is realized by an electronic circuit such as a CPU (Central Processing Unit) or a microprocessor. In addition, the control unit 260 may include a ROM (Read Only Memory) that stores the programs and calculation parameters to be used, and a RAM (Random Access Memory) that temporarily stores parameters that change as appropriate. The terminal device 200 executes various processes based on the control of the control unit 260. The processing of information input by the input unit 210, the output of information by the output unit 220, the detection of information by the detection unit 230, the transmission and reception of information by the communication unit 240, and the storage and reading of information by the storage unit 250 are examples of processes controlled by the control unit 260. Other processes executed by the terminal device 200, such as the input of information to each component and processing based on information output from each component, are also controlled by the control unit 260.

The functions of the control unit 260 may be realized using an application. The application may be pre-installed or may be downloaded. The functions of the control unit 260 may be realized by PWA (Progressive Web Apps).

4 is a block diagram showing an example of the configuration of the server 300 according to this embodiment. As shown in FIG. 4, the server 300 includes a communication unit 310, a storage unit 320, and a control unit 330.

The communication unit 310 is a communication interface for transmitting and receiving information between the server 300 and other devices. The communication unit 310 performs communication conforming to any wired or wireless communication standard.

The storage unit 320 stores various information for the operation of the server 300. The storage unit 320 is configured with a non-volatile storage medium such as a hard disc drive (HDD) or a solid state drive (SSD).

The control unit 330 functions as a calculation processing device and a control device, and controls the overall operation of the server 300 according to various programs. The control unit 330 is realized by, for example, a CPU (Central Processing Unit) and electronic circuits such as a microprocessor. In addition, the control unit 330 may include a ROM (Read Only Memory) that stores the programs and calculation parameters to be used, and a RAM (Random Access Memory) that temporarily stores parameters that change as appropriate. The server 300 executes various processes based on the control of the control unit 330. The transmission and reception of information by the communication unit 310, and the storage and reading of information by the storage unit 320 are examples of processes controlled by the control unit 330. Other processes executed by the server 300, such as input of information to each component and processing based on information output from each component, are also controlled by the control unit 330.

2. Technical features
(1) Heating Profile The control unit 116 controls the operation of the heating unit 121 based on the heating profile. The control of the operation of the heating unit 121 is achieved by controlling the power supply from the power supply unit 111 to the heating unit 121. The heating unit 121 heats the stick-shaped substrate 150 by using the power supplied from the power supply unit 111.

The heating profile is control information for controlling the temperature at which the aerosol source is heated. The heating profile specifies parameters related to the temperature at which the aerosol source is heated. An example of the temperature at which the aerosol source is heated is the temperature of the heating unit 121. An example of the parameter related to the temperature at which the aerosol source is heated is the target value of the temperature of the heating unit 121 (hereinafter also referred to as the target temperature). The temperature of the heating unit 121 may be controlled to change according to the elapsed time from the start of heating. In that case, the heating profile includes information that specifies the time series transition of the target temperature. As another example, the heating profile may include parameters that specify the method of supplying power to the heating unit 121 (hereinafter also referred to as the power supply parameters). The power supply parameters include, for example, the voltage applied to the heating unit 121, ON/OFF of the power supply to the heating unit 121, or the feedback control method to be adopted. ON/OFF of the power supply to the heating unit 121 may be regarded as ON/OFF of the heating unit 121.

The control unit 116 controls the operation of the heating unit 121 so that the temperature of the heating unit 121 (hereinafter also referred to as the actual temperature) changes in the same manner as the target temperature defined in the heating profile. The heating profile is typically designed to optimize the flavor experienced by the user when the user inhales the aerosol generated from the stick-shaped substrate 150. Therefore, by controlling the operation of the heating unit 121 based on the heating profile, the flavor experienced by the user can be optimized.

The temperature control of the heating unit 121 can be realized, for example, by known feedback control. The feedback control may be, for example, PID control (Proportional-Integral-Differential Controller). The control unit 116 may supply power from the power supply unit 111 to the heating unit 121 in the form of pulses by pulse width modulation (PWM) or pulse frequency modulation (PFM). In this case, the control unit 116 can control the temperature of the heating unit 121 by adjusting the duty ratio or frequency of the power pulse in the feedback control. Alternatively, the control unit 116 may perform simple on/off control in the feedback control. For example, the control unit 116 may perform heating by the heating unit 121 until the actual temperature reaches the target temperature, interrupt heating by the heating unit 121 when the actual temperature reaches the target temperature, and resume heating by the heating unit 121 when the actual temperature becomes lower than the target temperature.

The temperature of the heating section 121 can be quantified, for example, by measuring or estimating the electrical resistance value of the heating section 121 (more precisely, the heating resistor that constitutes the heating section 121). This is because the electrical resistance value of the heating resistor changes depending on the temperature. The electrical resistance value of the heating resistor can be estimated, for example, by measuring the amount of voltage drop in the heating resistor. The amount of voltage drop in the heating resistor can be measured by a voltage sensor that measures the potential difference applied to the heating resistor. In another example, the temperature of the heating section 121 can be measured by a temperature sensor such as a thermistor installed near the heating section 121.

The period from the start to the end of the process of generating aerosol using the stick-shaped substrate 150 is also referred to as a heating session below. In other words, a heating session is a period during which power supply to the heating unit 121 is controlled based on a heating profile. The start of a heating session is the timing when heating based on the heating profile is started. The end of a heating session is the timing when a sufficient amount of aerosol is no longer generated. A heating session includes a pre-heating period in the first half and a puffable period in the second half. The puffable period is a period during which a sufficient amount of aerosol is expected to be generated. The pre-heating period is the period from the start of heating to the start of the puffable period. Heating performed during the pre-heating period is also referred to as pre-heating.

The notification unit 113 may notify the user of information indicating the timing at which preheating will end. For example, the notification unit 113 may notify the user of information predicting the end of preheating before the end of preheating, or may notify the user of information indicating that preheating has ended at the timing at which preheating has ended. The notification to the user may be performed, for example, by lighting an LED or vibrating. The user may refer to such a notification and begin puffing immediately after preheating has ended.

Similarly, the notification unit 113 may notify the user of information indicating the timing when the puffing period will end. For example, the notification unit 113 may notify the user of information predicting the end of the puffing period before the end of the puffing period, or may notify the user of information indicating that the puffing period has ended at the timing when the puffing period has ended. The notification to the user may be performed, for example, by lighting an LED or vibrating. The user may refer to such a notification and continue puffing until the puffing period ends.

An example of a heating profile will be described with reference to FIG. 5. FIG. 5 is a graph that shows a schematic example of a heating profile. The horizontal axis of graph 20 is time. The vertical axis of graph 20 is temperature. Line 21 shows the time series progression of the target temperature. As shown in FIG. 5, a heating session may include an initial heating period, an intermediate temperature drop period, and a re-heating period, in that order. The initial heating period is a period in which the temperature of the heating unit 121 rises rapidly after the start of heating and is maintained at a high temperature. The intermediate temperature drop period is a period in which the temperature of the heating unit 121 drops after the initial heating period. The re-heating period is a period in which the temperature of the heating unit 121 rises again after the intermediate temperature drop period. In the example shown in FIG. 5, the target temperature rises rapidly to around 300°C during the initial heating period, then drops to around 230°C during the intermediate temperature drop period, and then rises stepwise to around 260°C during the re-heating period. During the intermediate temperature drop period, power supply to the heating unit 121 may be interrupted and heating may be turned off. In the example shown in FIG. 5, the period from the start of heating to the middle of the initial temperature rise period is the pre-heating period, and the period from the middle of the initial temperature rise period to the end of the re-heating period is the puffable period.

(2) Customization Process The system 1 repeatedly executes the customization process. The customization process is a process for customizing (i.e., changing) the heating profile. In the customization process, the system 1 changes the heating profile so as to improve the user's evaluation. Therefore, by repeating the customization process, the system 1 can gradually generate a heating profile that can provide an optimal user experience. The customization process is executed or controlled by each of the suction device 100, the terminal device 200, and the server 300.

The customization process includes at least the steps of the inhalation device 100 generating an aerosol using a heating profile, setting an evaluation period, accepting an evaluation setting by the user, modifying the heating profile based on the set evaluation, and setting the modified heating profile in the inhalation device 100. The customization process can be executed repeatedly until a heating profile as intended by the user is generated. A heating profile as intended by the user is a heating profile for which a good evaluation is set over the entire duration of the heating session (i.e., for all puffs). Each step included in the customization process will be described in detail below.

- Generation of aerosol based on heating profile The inhalation device 100 generates an aerosol by heating the stick-shaped substrate 150 based on the heating profile (hereinafter also referred to as the heating profile before the change). The user inhales the aerosol generated by the inhalation device 100 and checks the inhalation comfort. The user may perform multiple puffs during the heating session.

The timing of puffing (hereinafter, puff timing) may be set in advance. In that case, the user puffs at the preset puff timing. For example, the terminal device 200 acquires information indicating the progress of heating from the inhalation device 100 and prompts the user to puff at a predetermined timing during the heating session. The information indicating the progress of heating may include the elapsed time from the start of heating, or the temperature of the heating unit 121, etc. The terminal device 200 may acquire identification information of the heating profile used by the inhalation device 100 from the inhalation device 100 together with or prior to the information indicating the progress of heating. This makes it possible to appropriately determine the arrival of the puff timing even if the puff timing differs for each heating profile. Of course, the puff timing does not have to be set in advance. In that case, the user puffs at a timing of their choice. The inhalation device 100 may transmit information for identifying the actual puff timing to the terminal device 200. The information for identifying the puff timing may be information indicating how many puffs have been performed during the heating session, or information for identifying the puff timing based on the elapsed time from the start of heating. Information for identifying the puff timing may be transmitted together with information indicating the progress of heating.

Setting of Evaluation Period The terminal device 200 divides the heating session to set multiple evaluation periods. The evaluation period is a period that is subject to evaluation by the user. For example, the terminal device 200 sets the evaluation period based on identification information of the heating profile used by the suction device 100 and information indicating the progress of heating.

The evaluation period may include multiple puff timings. That is, the user may set an evaluation for multiple puffs all at once. The puff timing here may be a preset puff timing or an actual puff timing. With this configuration, it is possible to roughly customize the heating profile. As a result, it is possible to reduce the burden on the user compared to setting an evaluation for each puff.

Of course, the evaluation period may include one puff timing. In other words, the user may set an evaluation for each puff. With this configuration, it becomes possible to customize the heating profile in detail.

The terminal device 200 may set the evaluation period based on the time that has elapsed since the start of heating. For example, the terminal device 200 may divide the puffable period into 30-second intervals and set multiple 30-second evaluation periods.

The terminal device 200 may set the evaluation period based on the number of puff timings. For example, the terminal device 200 may divide the puffable period for each puff timing and set an evaluation period for each puff timing. With this configuration, it is possible to appropriately set the evaluation period even if the user's puff intervals are not uniform.

- Acceptance of Evaluation Setting The terminal device 200 accepts a user operation for setting an evaluation for the heating profile before the change. In detail, the terminal device 200 accepts the setting of an evaluation for the aerosol inhaled by the user in each of a plurality of evaluation periods. In the following, it is assumed that the terminal device 200 accepts the setting of the evaluation for each puff performed multiple times during the heating session. For example, the terminal device 200 displays a screen for accepting the setting of the evaluation for each puff, and accepts a tap operation on the screen. The evaluation set by the user is used to change the heating profile. In other words, accepting the setting of the evaluation may be regarded as accepting the setting of an instruction to change the heating profile (a change value described later).

The terminal device 200 may accept the setting of the evaluation in real time according to the progress of the heating. When the terminal device 200 accepts the setting of the evaluation in real time, it may obtain information indicating the progress of the heating from the inhalation device 100 and prompt the user to set the evaluation immediately after a puff is performed. With this configuration, the user can set the evaluation for each puff in real time while performing a puff. Of course, the terminal device 200 may also accept a user operation to set the evaluation for each puff collectively after the heating session is completed.

The terminal device 200 may receive the setting of evaluation for a plurality of evaluation items. With such a configuration, it is possible to improve the evaluation from various viewpoints. Examples of evaluation items include taste, smoke volume, tobacco feel, kick, odor, and smoking response. The taste is a sensation that refers to the taste of the aerosol in general. The stronger the taste, the stronger the taste is evaluated as having a strong taste, and the weaker the taste, the weaker the taste is evaluated as having a weaker taste. The amount of smoke is a sensation that refers to the amount of aerosol. The greater the amount of aerosol that reaches the user's mouth per puff, the greater the amount of smoke is evaluated, and the smaller the amount of aerosol that reaches the user's mouth per puff, the less the amount of smoke is evaluated. The tobacco feel is a sensation that refers to the closeness to the taste of a cigarette. The closer the taste of the aerosol itself or the intensity of the taste is to the taste of a cigarette, the stronger the tobacco feel is evaluated. On the other hand, the more refreshing the taste of the aerosol is due to factors such as a strong fruit or mint flavor, the weaker the tobacco feel is evaluated. The kick is a sensation that refers to the degree of irritation to the throat. Typically, the higher the nicotine content in the aerosol, the stronger the kick is evaluated. Odor is a sensation that indicates how close the odor is to that of a cigarette. The closer the odor of the aerosol is to that of a cigarette, the stronger the odor is evaluated. On the other hand, the more refreshing the odor of the aerosol, for example due to a strong fruity or minty scent, the weaker the odor is evaluated. Draw response is a sensation that indicates the degree of stimulation to the entire oral cavity. For these evaluation items, a good evaluation such as just right, or a bad evaluation such as weak/strong or little/lot can be set.

In addition, the terminal device 200 may accept the setting of an evaluation for the entire heating session (i.e., all of the multiple puffs performed during the heating session). For example, the terminal device 200 may present a question such as "Are you satisfied with this heating profile?" after the heating session ends. In this case, a good evaluation such as "satisfied" or a bad evaluation such as "not satisfied" may be set.

- Changing the heating profile The server 300 (for example, the control unit 330) is an example of an information processing device that generates a heating profile. The server 300 generates a new heating profile (hereinafter also referred to as a changed heating profile) by changing the heating profile before the change based on the evaluation set by the user. For example, the server 300 increases the target temperature at the puff timing evaluated as having a weak smoking taste, and decreases the target temperature at the puff timing evaluated as having a strong smoking taste. With this configuration, it is possible to generate a changed heating profile that may have an improved evaluation compared to the heating profile before the change.

When evaluations for multiple evaluation items are set, the server 300 generates a modified heating profile based on the evaluations for the multiple evaluation items. For example, the server 300 integrates, for example by averaging, multiple target temperature change values based on the evaluations for the multiple evaluation items, and applies the integrated change value to the heating profile before the change to generate the modified heating profile. For example, if the change value based on the evaluation of the smoking taste is +30°C and the change value based on the evaluation of the smoke volume is +10°C, the average of these, +20°C, may be adopted as the integrated change value. The modified heating profile may then be generated by raising the target temperature before the change by 20°C. With this configuration, it is possible to improve the evaluation from various perspectives.

The server 300 may generate the modified heating profile based on a trained generative model for generating the heating profile. The generative model will be described with reference to FIG. 6.

FIG. 6 is a diagram for explaining the generation model according to this embodiment. As shown in FIG. 6, when the heating profile before the change and the evaluation set for the heating profile before the change are input, the generation model M outputs the heating profile after the change. The heating profile generation model M may be a model trained by a known machine learning technique such as SVM (Support Vector Machine) or a neural network. With this configuration, it is possible to automatically and highly accurately generate a heating profile that improves the user's evaluation. The accuracy of the generation of the heating profile refers to the degree to which the generated heating profile is as intended by the user. The higher the accuracy of the generation of the heating profile, the higher the user's evaluation set for the generated heating profile. It is possible to greatly improve the quality of the user experience in that a heating profile as intended by the user is easily generated and provided to the user.

Setting of the changed heating profile The suction device 100 sets the changed heating profile. For example, the suction device 100 receives and stores the changed heating profile generated by the server 300 via the terminal device 200. This is expected to result in an improved evaluation by the user in the next customization process.

- Repetition of the customization process Each process included in the customization process has been described above in detail. The system 1 repeatedly executes the above-described customization process until a heating profile as intended by the user is generated. The repetition of the customization process will be described below with reference to Table 1.

In Table 1, P indicates a heating profile, E indicates an evaluation, and the numbers added after P and E indicate indexes corresponding to the number of times the customization process is repeated. According to Table 1 above, in the first customization process, the heating profile P1 and the evaluation E1 set for the heating profile P1 are input to the generative model, and the heating profile P2 is output. The heating profile P2 is a heating profile in which changes have been made to the heating profile P1 in order to improve the bad evaluation included in the evaluation E1. This customization process is repeated while the heating profile generated in the previous customization process is used as input to the generative model in the next customization process. In the 100th customization process, if the evaluation E100 set for the heating profile P100 is a good evaluation for all puffs, the input heating profile P100 is output as is from the generative model, as shown in Table 1 above. Then, the repetition of the customization process stops. In this way, the heating profile P100 is generated as intended by the user.

(3) Learning of the Generative Model The server 300 collects a plurality of teacher data and learns a generative model for generating a heating profile based on the collected plurality of teacher data. Then, the server 300 generates a heating profile based on the learned generative model. The teacher data includes a combination of a first heating profile, an evaluation set for the first heating profile, and a second heating profile to be generated based on the first heating profile and the evaluation set for the first heating profile. That is, the teacher data is a desirable combination of the heating profile before the change, which is an input to the generative model, and the evaluation set for the heating profile before the change, and the heating profile after the change, which is an output from the generative model. By collecting such teacher data, it is possible to learn a highly accurate generative model. The accuracy of the generative model corresponds to the accuracy of the heating profile generated using the generative model.

In the following, it is assumed that the server 300 generates a heating profile for user A (an example of a first user). The heating profile for user A is a heating profile used by the suction device 100A used by user A.

In this case, the server 300 inputs the pre-change heating profile used by the suction device 100A and the evaluation set by user A on the pre-change heating profile into the generative model. As a result, the server 300 generates the post-change heating profile to be used by the suction device 100A. With this configuration, the server 300 can automatically and highly accurately generate a heating profile for user A in the customization process using the generative model. As a result, a heating profile that matches the user's intention can be generated more quickly, making it possible to reduce the number of times the customization process is repeated.

The training data used to train the generative model for generating a heating profile for user A may be training data involving user A. In detail, the training data may include a first heating profile used by the suction device 100A, an evaluation set by user A for the first heating profile, and a second heating profile set by user A with a better evaluation than the first heating profile. By generating a heating profile for user A using a generative model trained based on training data involving user A, it is possible to more efficiently improve user A's evaluation.

The server 300 may collect training data involving user A during the process of repeating the customization process for generating a heating profile for user A. The customization process for generating a heating profile for user A includes generating a modified heating profile to be used in the suction device 100A based on the pre-modification heating profile used by the suction device 100A and the evaluation set by user A for the pre-modification heating profile. With this configuration, the relationship between the change value of the target temperature and the change in evaluation, obtained during the trial and error process until the user arrives at the intended heating profile, can be used as training data. This makes it possible to improve the learning efficiency of the generation model.

The teacher data may include the heating profile before the change in the first customization process as the first heating profile, and the heating profile after the change in the second customization process as the second heating profile. Here, the second customization process is the same as the first customization process or a customization process repeated after the first customization process. In the example shown in Table 1, as an example, when the evaluation E2 is improved from the evaluation E1, the server 300 may collect teacher data including the heating profile P1 as the first heating profile, the evaluation E1, and the heating profile P2 as the second heating profile. As another example, the server 300 may collect teacher data including the heating profile P1 as the first heating profile, the evaluation E1, and the heating profile P100 as the second heating profile. With this configuration, it is possible to efficiently collect teacher data while repeating the customization process.

During the process of repeating the customization process, the server 300 may replace the second heating profile included in the collected teacher data with a changed heating profile in which a better evaluation is set than the second heating profile. As an example, the server 300 collects teacher data including a heating profile P1 as a first heating profile, an evaluation E1, and a heating profile P2 as a second heating profile. Thereafter, if the evaluation E3 is an improvement over the evaluation E2, the server 300 may replace the heating profile P2 as the second heating profile in the collected teacher data with the heating profile P3. That is, the server 300 may update the teacher data including the heating profile P1, the evaluation E1, and the heating profile P2 to teacher data including the heating profile P1, the evaluation E1, and the heating profile P3. If the teacher data is updated during the process of repeating the customization process thereafter, the server 300 will eventually collect teacher data including the heating profile P100 as the second heating profile. For example, the server 300 can collect teacher data including the heating profile P1, the evaluation E1, and the heating profile P100. With this configuration, the collected teacher data can be updated to teacher data that is more suitable for learning. For example, a generation model trained based on the updated teacher data will output the heating profile P100 as intended by the user when the heating profile P1 and the evaluation E1 are input. In this way, it is possible to improve the accuracy of the generation model.

In addition, training data may be collected that includes a heating profile during the repetition of the customization process as a first heating profile. For example, the server 300 may collect training data that includes the heating profile P2, the evaluation E2, and the heating profile P100.

7 is a sequence diagram showing an example of the flow of the customization process executed by the system 1 according to this embodiment. The suction device 100, the terminal device 200, and the server 300 are involved in this sequence.

As shown in FIG. 7, first, the suction device 100 heats the stick-shaped substrate 150 based on the heating profile (step S102).

Then, the suction device 100 transmits identification information of the heating profile used for heating to the terminal device 200 (step S104).

Next, the terminal device 200 accepts the setting of the evaluation (step S106). In detail, during the heating session, the inhalation device 100 transmits information indicating the progress of the heating to the terminal device 200. Then, the terminal device 200 prompts the user to puff at a predetermined timing according to the progress of the heating, prompts the user to set an evaluation immediately after the puff, and accepts the setting of an evaluation for each puff from the user.

Then, the terminal device 200 transmits to the server 300 identification information of the heating profile used by the inhalation device 100 for heating, and information indicating the evaluation set by the user (step S108). The information indicating the evaluation set by the user includes information for identifying multiple puff timings, and an evaluation for each evaluation item at each puff timing.

Next, the server 300 uses the trained generative model to change the heating profile (step S110). In detail, the server 300 generates a changed heating profile by inputting the heating profile received from the terminal device 200 and the evaluation set for the heating profile into the trained generative model.

Then, the server 300 transmits the changed heating profile to the terminal device 200 (step S112). When the terminal device 200 receives the changed heating profile from the server 300, it transfers the received changed heating profile to the suction device 100 (step S114).

Then, when the suction device 100 receives the changed heating profile, it stores the received changed heating profile (step S116). As a result, in the next customization process, the stick-shaped substrate 150 will be heated based on the changed heating profile.

- Teacher Data Collection Processing FIG. 8 is a flowchart showing an example of the flow of teacher data collection processing executed by the server 300 according to this embodiment.

As shown in FIG. 8, first, the server 300 acquires the heating profile before the change, the evaluation of the heating profile before the change, the heating profile after the change, and the evaluation of the heating profile after the change during the repeated customization process (step S202). For example, the server 300 receives the heating profile P1, the evaluation E1, the heating profile P2, and the evaluation E2 from the terminal device 200.

Then, the server 300 determines whether the evaluation has improved before and after the change in the heating profile (step S204). For example, the server 300 determines that the evaluation has improved if the number of puffs in evaluation E2 that have a better evaluation than evaluation E1 has increased, and determines that the evaluation has not improved otherwise. If it is determined that the evaluation has not improved before and after the change in the heating profile (step S204: NO), the process proceeds to step S210.

If it is determined that the evaluation has improved before and after changing the heating profile (step S204: YES), the server 300 generates teacher data (step S206). For example, the server 300 generates teacher data including a heating profile P1 as a first heating profile, an evaluation E1, and a heating profile P2 as a second heating profile. Note that, if a heating profile P100, for example, is obtained in the course of repeating the customization process, with a better evaluation set than the heating profile P2, the server 300 may replace the second heating profile in the teacher data with the heating profile P100. That is, the server 300 may generate teacher data including a heating profile P1 as a first heating profile, an evaluation E1, and a heating profile P100 as a second heating profile.

Then, the server 300 learns the generative model (step S208). For example, the server 300 learns the generative model based on the existing training data as well as the newly generated training data in step S206.

Next, the server 300 determines whether the repetition of the customization process has ended (step S210). An example of a condition for determining that the repetition of the customization process has ended is when a good rating has been set for all puffs, when a good rating has been set for the entire heating session, or when an instruction to end has been given by the user.

If it is determined that the repetition of the customization process has not ended (step S210: NO), the process returns to step S202. On the other hand, if it is determined that the repetition of the customization process has ended (step S210: NO), the process ends.

<3. Supplementary Information>
Although the preferred embodiment of the present disclosure has been described in detail above with reference to the accompanying drawings, the present disclosure is not limited to such examples. It is clear that a person having ordinary knowledge in the technical field to which the present disclosure belongs can conceive of various modified or amended examples within the scope of the technical ideas described in the claims, and it is understood that these also naturally belong to the technical scope of the present disclosure.

In the above embodiment, an example has been described in which the teacher data used to train the generative model for generating a heating profile for user A is teacher data involving user A, but the present disclosure is not limited to such an example. The teacher data used to train the generative model for generating a heating profile for user A may include teacher data involving other users other than user A (e.g., user B). The teacher data involving user B includes the first heating profile used by the suction device 100B used by user B, the evaluation set by user B for the first heating profile, and the second heating profile set by user B with a better evaluation than the first heating profile. The other user is not limited to one person, and teacher data involving multiple other users may be used to train the generative model for generating a heating profile for user A. By training the generative model based on teacher data involving user A and/or teacher data involving user B, it is possible to further improve the accuracy of the generative model. This is because it is possible to increase the number of teacher data.

In the above, an example has been described in which one user (user A or user B) is involved in one piece of training data, but the present disclosure is not limited to such an example. Multiple users may be involved in one piece of training data. For example, the user involved in the first heating profile and the user involved in the second heating profile may be different. As one example, the training data may include, as the second heating profile, a heating profile that is ranked high on a web page that publishes heating profiles for download. As another example, the training data may include, as the second heating profile, a heating profile that is used by a large number of users or that has been evaluated as satisfactory by many users. With such a configuration, it is possible to further improve the accuracy of the generation model.

In the above embodiment, an example was described in which the teacher data included a first heating profile, an evaluation set for the first heating profile, and a second heating profile, but the present disclosure is not limited to such an example. Below, an example of other information that may be included in the teacher data is described.

The teacher data may further include an evaluation set for the second heating profile. For example, the teacher data may include the heating profile P1, the evaluation E1, the heating profile P2, and the evaluation E2. With this configuration, the difference between the first heating profile and the second heating profile can be associated with the difference between the evaluations set for these heating profiles. As a result, the server 300 can grasp the causal relationship between the change in the heating profile and the change in the evaluation in more detail and use it for generating the heating profile. As an example, the difference between the heating profile P1 and the heating profile P2 is that the target temperature at the third puff timing is increased by 10°C. Also, the difference between the evaluation E1 and the evaluation E2 is that the evaluation of the smoking taste for the third puff is improved from weak to just right. In that case, the server 300 can grasp the detailed causal relationship, such as that the evaluation of the smoking taste for the third puff is improved from weak to just right when the target temperature at the third puff timing is increased by 10°C. By clarifying such a causal relationship, it becomes possible to generate a heating profile with higher accuracy. The generation model can be trained using the first heating profile, the evaluation set for the first heating profile, and the evaluation set for the second heating profile as inputs, and the second heating profile as output. When the pre-change heating profile, the evaluation set for the pre-change heating profile, and a desired evaluation (e.g., good evaluations for all puffs) are input to the generation model trained in this way, a post-change heating profile in which the desired evaluation can be set is generated.

The training data may further include information indicating the attributes of the user of the suction device 100 using the first heating profile. The server 300 may generate a heating profile for user A based on training data including information indicating the same attributes as those of user A. That is, the server 300 may learn a generative model based on training data including information indicating the same attributes as those of user A, and generate a heating profile for user A using the learned generative model. Examples of user attributes include gender, age, and place of residence. The user attributes may also include user browsing information on a web page that publishes the heating profile so that it can be downloaded. An example of the browsing information is an HTTP cookie. The suction device 100 may download and use the heating profile from the web page via the terminal device 200. With this configuration, it is possible to further improve the accuracy of the generative model according to the user's attributes.

The training data may further include information indicating the type of the aerosol source heated based on the first heating profile, i.e., the type of the stick-type substrate 150. The server 300 may generate a heating profile for user A based on training data including information indicating the same type of stick-type substrate 150 heated by the inhalation device 100A. As an example, the inhalation device 100A heats a stick-type substrate 150 containing menthol. In this case, the server 300 learns a generation model based on training data collected when the stick-type substrate 150 containing menthol is used. The server 300 then uses the learned generation model to generate a heating profile for user A and the stick-type substrate 150 containing menthol. With this configuration, it is possible to further improve the accuracy of the generation model according to the type of stick-type substrate 150 used by the inhalation device 100A.

The training data may further include information indicating the type of the suction device 100 using the first heating profile. The server 300 may generate a heating profile for user A based on the training data including information indicating the same type as the suction device 100A. As an example, when the suction device 100A is a high-heating type, the server 300 learns a generation model based on training data collected when the high-heating type suction device 100 is used. The server 300 uses the learned generation model to generate a heating profile for user A and the high-heating type suction device 100A. The type of the suction device 100 may be a type of software (e.g., a version of the software) in addition to a type of hardware. With this configuration, it is possible to further improve the accuracy of the generation model according to the type of the suction device 100A.

The above is an example of other information that can be included in training data.

In the above embodiment, an example in which teacher data is collected for the entire heating profile has been described, but the present disclosure is not limited to such an example. Teacher data may be collected for a portion of the heating profile. As an example, assume that a total of 15 puffs are performed during a heating session, and the evaluation of 10 of the 15 puffs has been improved by the customization process. In that case, teacher data may be collected that includes a portion of the heating profile before the change that corresponds to the improved 10 puffs, the evaluation of the improved 10 puffs of the heating profile before the change, and a portion of the heating profile after the change that corresponds to the improved 10 puffs. With this configuration, it is possible to collect teacher data even if the repetition of the customization process is interrupted midway.

The processes performed by the terminal device 200 or the server 300 described in the above embodiment may be performed by any device. As an example, learning of the generative model or changing of the heating profile may be performed by the terminal device 200.

In the above embodiment, an example has been described in which an evaluation is set for multiple evaluation items for each puff, i.e., an evaluation period common to multiple evaluation items is set, but the present disclosure is not limited to such an example. The terminal device 200 may set multiple evaluation periods for each of the multiple evaluation items. For example, the terminal device 200 may set an evaluation period for smoking taste every 30 seconds, and an evaluation period for smoke volume for each puff. With such a configuration, the evaluation period for each evaluation item can be flexibly set, making it possible to improve the ease of customization.

In the above embodiment, changing the target temperature is given as an example of changing the heating profile, but the present disclosure is not limited to such an example. The server 300 may change parameters related to the time of the heating profile. Examples of parameters related to the time of the heating profile include the length of time of the heating session, the length of time of the initial heating period, the intermediate heating period, and the re-heating period. Another parameter related to the time of the heating profile is the puff timing.

In the above embodiment, an example has been described in which the parameter related to the temperature at which the aerosol source is heated, as specified in the heating profile, is the target temperature value of the heating unit 121, but the present disclosure is not limited to such an example. An example of the parameter related to the temperature at which the aerosol source is heated is the target electrical resistance value of the heating unit 121. Furthermore, when the means for heating the aerosol source is induction heating, an example of the parameter related to the temperature at which the aerosol source is heated, as specified in the heating profile, is the target value of the susceptor temperature, or the electrical resistance value of the electromagnetic induction source, etc.

In the above embodiment, an example has been described in which the suction device 100 generates an aerosol by heating the stick-shaped substrate 150, but the present disclosure is not limited to such an example. The suction device 100 may be configured as a so-called liquid atomization type aerosol generator that generates an aerosol by heating and atomizing an aerosol source as a liquid. The technology disclosed herein can also be applied to liquid atomization type aerosol generators.

As described in the above embodiment, the rating settings are accepted by the terminal device 200. Here, the terminal device 200 accepting the rating settings may refer to accepting the rating settings via a native application installed on the terminal device 200. Also, the terminal device 200 accepting the rating settings may refer to accepting the rating settings via a PWA (Progressive Web Apps) provided for the terminal device 200. As an example, the server 300 may accept the rating settings via a PWA provided for the terminal device 200.

At least a part of the functional configuration of the suction device 100 in the above embodiment may be included in another device. One example of such another device is a charging device that charges the suction device 100. The charging device has a mechanism that allows the suction device 100 to be attached and detached, and can charge the suction device 100 and transmit and receive information between the suction device 100 and the charging device when the suction device 100 is connected. As an example, the charging device may have a wireless communication function and may relay the transmission and reception of information between the suction device 100 and a device such as a smartphone. As another example, the charging device may have a memory function and may store information received from the suction device 100 or to be transmitted to the suction device 100. The combination of the suction device 100 and the charging device may be regarded as an aerosol generation system. In addition, at least a part of the functional configuration of the terminal device 200 described in the above embodiment may be included in another device such as a charging device that charges the suction device 100.

The series of processes performed by each device described in this specification may be realized using software, hardware, or a combination of software and hardware. The programs constituting the software are stored in advance, for example, in a recording medium (more specifically, a non-transient storage medium readable by a computer) provided inside or outside each device. Each program is loaded into a RAM when executed by a computer that controls each device described in this specification, and executed by a processing circuit such as a CPU. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, etc. The computer program may be distributed, for example, via a network without using a recording medium. The computer may be an application-specific integrated circuit such as an ASIC, a general-purpose processor that executes functions by reading a software program, or a computer on a server used in cloud computing. The series of processes performed by each device described in this specification may be distributed and processed by multiple computers.

Furthermore, the processes described in this specification using flowcharts or sequence diagrams do not necessarily have to be performed in the order shown. Some processing steps may be performed in parallel. Furthermore, additional processing steps may be employed, and some processing steps may be omitted.

Note that the following configurations also fall within the technical scope of the present disclosure.
(1)
a control unit that generates control information used by an inhalation device that generates an aerosol by heating the aerosol source based on control information that defines parameters related to a temperature at which the aerosol source is heated;
Equipped with
The control unit is
Collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information;
generating the control information to be used by the suction device of the first user based on a generation model of the control information learned based on the collected plurality of teacher data;
Information processing device.
(2)
the control unit generates changed control information to be used by the suction device of the first user by inputting pre-change control information used by the suction device of the first user and an evaluation set by the first user for the pre-change control information to the generation model.
The information processing device according to (1).
(3)
The teacher data includes the first control information used by the suction device of the first user, an evaluation set by the first user for the first control information, and the second control information set by the first user with a better evaluation than the first control information.
The information processing device according to (1) or (2).
(4)
the control unit collects the teacher data during a process in which a customization process is repeated, the process including generating changed control information to be used by the suction device of the first user based on pre-change control information used by the suction device of the first user and an evaluation set by the first user for the pre-change control information.
The information processing device according to (3).
(5)
The teacher data includes control information before the change in a first customization process as the first control information, and includes control information after the change in a second customization process as the second control information,
The second customization process is the same as the first customization process or is a customization process repeated after the first customization process.
The information processing device according to (4).
(6)
The control unit replaces the second control information included in the collected teacher data with the changed control information having a better evaluation than the second control information during the process of repeating the customization process.
The information processing device according to (5).
(7)
The teacher data includes the first control information used by a suction device of a second user other than the first user, an evaluation set by the second user for the first control information, and the second control information set by the second user with a better evaluation than the first control information.
The information processing device according to any one of (1) to (6).
(8)
The teacher data further includes an evaluation set in the second control information.
The information processing device according to any one of (1) to (7).
(9)
The teacher data further includes information indicating attributes of a user of the suction device using the first control information,
The control unit generates the control information to be used by the suction device of the first user based on the teacher data including information indicating attributes identical to attributes of the first user.
The information processing device according to any one of (1) to (8).
(10)
The teacher data further includes information indicating a type of the aerosol source heated based on the first control information,
The control unit generates the control information to be used by the inhalation device of the first user based on the teacher data including information indicating a type of the aerosol source that is the same as a type of the aerosol source heated by the inhalation device of the first user.
The information processing device according to any one of (1) to (9).
(11)
The teacher data further includes information indicating a type of the suction device using the first control information,
The control unit generates the control information to be used by the suction device of the first user based on the teacher data including information indicating the same type as the suction device of the first user.
The information processing device according to any one of (1) to (10).
(12)
1. A computer-implemented information processing method, comprising:
The information processing method includes:
generating control information for use by an inhalation device that heats the aerosol source to generate an aerosol based on control information defining parameters related to a temperature to which the aerosol source is heated;
Generating the control information
Collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information;
generating the control information to be used by the suction device of the first user based on a generation model of the control information learned based on the collected plurality of teacher data;
An information processing method comprising:
(13)
Computer,
a control unit that generates control information used by an inhalation device that generates an aerosol by heating the aerosol source based on control information that defines parameters related to a temperature at which the aerosol source is heated;
Function as a
The control unit is
Collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information;
generating the control information to be used by the suction device of the first user based on a generation model of the control information learned based on the collected plurality of teacher data;
program.

1 System 100 Suction device 111 Power supply unit 112 Sensor unit 113 Notification unit 114 Memory unit 115 Communication unit 116 Control unit 121 Heating unit 140 Storage unit 141 Internal space 142 Opening 143 Bottom 144 Heat insulation unit 150 Stick-shaped substrate 151 Substrate unit 152 Suction port unit 200 Terminal device 210 Input unit 220 Output unit 230 Detection unit 240 Communication unit 250 Memory unit 260 Control unit 300 Server 310 Communication unit 320 Memory unit 330 Control unit 900 Network

Claims

a control unit that generates control information used by an inhalation device that generates an aerosol by heating the aerosol source based on control information that defines parameters related to a temperature at which the aerosol source is heated;
Equipped with
The control unit is
Collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information;
generating the control information to be used by the suction device of the first user based on a generation model of the control information learned based on the collected plurality of teacher data;
Information processing device.
the control unit generates changed control information to be used by the suction device of the first user by inputting pre-change control information used by the suction device of the first user and an evaluation set by the first user for the pre-change control information to the generation model.
The information processing device according to claim 1 .
The teacher data includes the first control information used by the suction device of the first user, an evaluation set by the first user for the first control information, and the second control information set by the first user with a better evaluation than the first control information.
3. The information processing device according to claim 1 or 2.
the control unit collects the teacher data during a process in which a customization process is repeated, the process including generating changed control information to be used by the suction device of the first user based on pre-change control information used by the suction device of the first user and an evaluation set by the first user for the pre-change control information.
The information processing device according to claim 3 .
The teacher data includes control information before the change in a first customization process as the first control information, and includes control information after the change in a second customization process as the second control information,
The second customization process is the same as the first customization process or is a customization process repeated after the first customization process.
The information processing device according to claim 4.
The control unit replaces the second control information included in the collected teacher data with the changed control information having a better evaluation than the second control information during the process of repeating the customization process.
The information processing device according to claim 5 .
The teacher data includes the first control information used by a suction device of a second user other than the first user, an evaluation set by the second user for the first control information, and the second control information set by the second user with a better evaluation than the first control information.
The information processing device according to any one of claims 1 to 6.
The teacher data further includes an evaluation set in the second control information.
The information processing device according to any one of claims 1 to 7.
The teacher data further includes information indicating attributes of a user of the suction device using the first control information,
The control unit generates the control information to be used by the suction device of the first user based on the teacher data including information indicating attributes identical to attributes of the first user.
The information processing device according to any one of claims 1 to 8.
The teacher data further includes information indicating a type of the aerosol source heated based on the first control information,
The control unit generates the control information to be used by the inhalation device of the first user based on the teacher data including information indicating a type of the aerosol source that is the same as a type of the aerosol source heated by the inhalation device of the first user.
The information processing device according to any one of claims 1 to 9.
The teacher data further includes information indicating a type of the suction device using the first control information,
The control unit generates the control information to be used by the suction device of the first user based on the teacher data including information indicating the same type as the suction device of the first user.
The information processing device according to any one of claims 1 to 10.
1. A computer-implemented information processing method, comprising:
The information processing method includes:
generating control information for use by an inhalation device that heats the aerosol source to generate an aerosol based on control information defining parameters related to a temperature to which the aerosol source is heated;
Generating the control information
Collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information;
generating the control information to be used by the suction device of the first user based on a generation model of the control information learned based on the collected plurality of teacher data;
An information processing method comprising:
Computer,
a control unit that generates control information used by an inhalation device that generates an aerosol by heating the aerosol source based on control information that defines parameters related to a temperature at which the aerosol source is heated;
Function as a
The control unit is
Collecting a plurality of teacher data including a combination of first control information, an evaluation set in the first control information, and second control information to be generated based on the first control information and the evaluation set in the first control information;
generating the control information to be used by the suction device of the first user based on a generation model of the control information learned based on the collected plurality of teacher data;
program.