JP2024013011A - Terminal device, information processing method, and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the processing load of a device in a place where a service is provided to a user.

SOLUTION: A terminal device includes a first information acquisition unit, a second information acquisition unit, and an information output unit. The first information acquisition unit acquires, from a device in a place where a service is provided, information on a learning model generated by machine learning that receives user information, as input, which is information on a user using the place and outputs index information which is information on an index value indicating a value of index on a service. The second information acquisition unit acquires index information to be output from the learning model by inputting the user information to the learning model on which the information has been acquired by the first information acquisition unit. The information output unit outputs the index information acquired by the second information acquisition unit to the device in the place.

SELECTED DRAWING: Figure 5

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to a terminal device, an information processing method, and an information processing program.

2. Description of the Related Art Conventionally, there have been known service providing devices that provide services to users based on user information in places that provide services to users, such as accommodation facilities, restaurants, and sports facilities.

For example, Patent Document 1 describes how users can use a service using a learning model that has learned the relationship between the behavior history of each of a plurality of users who have used a service in the past and the service usage results included in the behavior history. Providing devices have been proposed that predict and provide services to users based on the predicted results.

Japanese Patent Application Publication No. 2018-081584

In the above-mentioned conventional technology, a provision device installed at a location acquires user information from the user's terminal device and inputs the acquired user information into a learning model, thereby predicting the use of a service by the user. Therefore, the above-mentioned conventional technology has a problem in that the processing load on the providing device installed at the location is large.

The present application has been made in view of the above, and aims to provide a terminal device, an information processing method, and an information processing program that can reduce the processing load on devices at locations where services are provided to users. do.

The terminal device according to the present application includes a first information acquisition section, a second information acquisition section, and an information output section. The first information acquisition unit receives user information, which is information about users who use the place where the service is provided, as input, and outputs index information, which is information on index values indicating the value of an index related to the service. Obtain learning model information from the device at the location. The second information acquisition unit inputs user information into the learning model whose information was acquired by the first information acquisition unit and acquires index information output from the learning model. The information output unit outputs the index information acquired by the second information acquisition unit to a device at the location.

According to one aspect of the embodiment, it is possible to reduce the processing load on a device at a location where a service is provided to a user.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating an example of the configuration of the information processing system according to the embodiment. FIG. 3 is a diagram illustrating an example of the configuration of the location installation device according to the embodiment. FIG. 4 is a diagram illustrating an example of the configuration of the location control device according to the embodiment. FIG. 5 is a diagram illustrating an example of the configuration of the terminal device according to the embodiment. FIG. 6 is a flowchart illustrating an example of information processing by the processing unit of the location installation device according to the embodiment. FIG. 7 is a flowchart illustrating an example of information processing by the processing unit of the location control device according to the embodiment. FIG. 8 is a flowchart illustrating an example of information processing by the processing unit of the terminal device according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the location device and the terminal device according to the embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Below, a terminal device, an information processing method, and a form for implementing an information processing program (hereinafter referred to as "embodiment") according to the present application will be described in detail with reference to the drawings. Note that the terminal device, information processing method, and information processing program according to the present application are not limited by this embodiment. Moreover, each embodiment can be combined as appropriate within the range that does not conflict with the processing contents. Further, in each of the embodiments below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. An example of information processing]
First, an example of information processing according to the embodiment will be described using FIG. 1. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

The terminal device 2 shown in FIG. 1 acquires index-related information, which is information regarding service indicators, from devices at service-providing locations AR ₁ to AR _m , and determines service-related indicators based on the acquired index-related information. Outputs index information that is information on index values indicating values. m is an integer of 2 or more. In the following, service providing locations AR ₁ to AR _m are referred to as service providing locations AR ₁ to AR _m , and when each of a plurality of service providing locations AR ₁ to AR _m is indicated without being individually distinguished, the service provision It may be written as location AR.

Examples of service provision locations AR include restaurants, accommodation facilities, retail stores, sports facilities, entertainment facilities, conference rooms, libraries, study rooms, hospitals, osteopathic clinics, massage parlors, beauty salons, barber shops, etc. The example is not limited to. The services provided by the service providing location AR include a main service serving as the main purpose at the service providing location AR, and ancillary services at the service providing location AR.

When the service provision location AR is a restaurant, the main service is the provision of food and drinks, and the ancillary services are the provision of a place environment using equipment such as lighting, air conditioning, chairs, and tables in the store. be.

Furthermore, when the service provision place AR is an accommodation facility, the main service is the provision of accommodation facilities including beds, chairs, desks, bathrooms, lighting equipment, air conditioners, etc., and the ancillary services are, for example, vending machines. These services include food and beverage provision services and conference room provision services.

The service providing location AR is provided with location installation devices 1A ₁ to 1A _n that provide services to the user U. For example, n is an integer of 2 or more. The location installation devices 1A ₁ to 1A _n are devices installed at the service providing location AR to provide services to the users U of the terminal devices 2. The services provided at the service providing location AR using the location installation devices 1A ₁ to 1A _n are the above-mentioned main service or the above-mentioned supplementary service. In the following, when each of the location installation devices 1A ₁ to 1A _n is shown without being individually distinguished, it may be referred to as the location installation device 1A.

When the service provision place AR is a restaurant, the place installation devices 1A ₁ to 1A _n are cooking devices and automatic serving devices for cooking the food and drinks provided in the main service, and for the user U to order food and drinks. These include the order-taking device used, chairs, tables, lighting equipment, air conditioning equipment, etc. provided as ancillary services.

In addition, when the service provision location AR is an accommodation facility, the location installation devices 1A ₁ to _1A ), vending machines provided as ancillary services, conference room equipment (e.g., lighting, air conditioning, chairs, tables, etc.).

By visiting the service providing location AR, the user U can receive services at the service providing location AR. When the user U visits the service providing location AR, the terminal device 2 carried by the user U communicates with the device at the service providing location AR to send and receive information.

The location installation device 1A communicates with the terminal device 2 by short-range wireless communication or the like (step S1), and determines an information acquisition mode (step S2). Examples of the short-range wireless communication include Bluetooth (registered trademark), Felica, and ISO/IEC14443 (MIFARE). Note that the communication between the terminal device 2 and the location installation device 1A may be performed via a network such as the Internet or a LAN (Local Area Network) instead of short-range wireless communication. Further, the process of step S2 is executed, for example, when the terminal device 2 is located within a predetermined range from the location installation device 1A, but is not limited to this example.

The information acquisition mode determined by the location installation device 1A is either the first information acquisition mode or the second information acquisition mode. The first information acquisition mode is an information acquisition mode in which learning model information is transmitted to the terminal device 2 as index-related information, and the terminal device 2 acquires index information obtained using the learning model information from the terminal device 2. . The second information acquisition mode is an information acquisition mode in which index type information is transmitted to the terminal device 2 as index related information and index information corresponding to the index type information is acquired from the terminal device 2.

First, the first information acquisition mode will be explained. The learning model information transmitted as index-related information to the terminal device 2 in the first information acquisition mode uses user information, which is user U's information, as input, and index information, which is index value information indicating the value of an index related to the service. This is information about the model to be output.

The learning model information is, for example, information for using the learning model so that the terminal device 2 can obtain index information from user information, and is, for example, a program for causing the terminal device 2 to execute processing using the learning model. (including the parameters of the learning model), information indicating the type and configuration of the learning model, information on the parameters of the learning model, etc., but is not limited to such examples.

The user information input to the learning model is at least one of user U's attribute information, user U's behavior history information, and user U's context information. The attribute information of the user U is information indicating the attributes of the user U, and the attributes of the user U are, for example, the demographic attributes of the user U, the psychographic attributes of the user U, and the like.

The behavior history information of the user U is history information of the past behavior of the user U, and is the past online behavior or offline behavior of the user U. For example, it includes one or more of user U's past content viewing information, user U's past transaction target purchase information, user U's past content search information, and the like. The content is, for example, web content.

The context information of the user U is information indicating the context of the user U, and the context of the user U is the situation of the user U, for example, the situation of the user U obtained from one or more sensors built into the terminal device 2. (user U's position, user U's orientation, user U's motion, user's U's body temperature, user's U's heart rate, user's U's pulse, etc.).

The service-related index is an index that defines the operation or processing of the location installation device 1A. For example, if the location installation device 1A is an electric chair that can electrically change the height of the armrest, reclining angle, seat height, seat softness, etc., the services provided by the location installation device 1A is a service for using an electric chair, and the service-related indicators include, for example, the height of the armrest, the reclining angle, the height of the seat, and the softness of the seat.

Further, when the place installation device 1A is an automatic serving device, the service provided by the place installation device 1A is a food and drink provision service, and the index regarding the service is, for example, the number of ingredients included in the food and drink to be served. These include the type, amount of food and drink, and temperature of food and drink. For example, if the automatic serving device is a coffee maker, the service-related indicators include, for example, the type of coffee beans, the presence or absence of milk, the amount of coffee, the amount of milk, and the temperature of the coffee. The automatic serving device is an example of a place-installed device that manufactures offerings to be provided to the user U.

Further, when the place installation device 1A is an order reception device, the service provided by the place installation device 1A is a food and drink order reception service, and the index regarding the service is, for example, in the menu provided to the user U. These include the type of food and drink, the order of the food and drink on the menu, and the manner in which the food and drink are presented on the menu.

Further, when the place installation device 1A is a music providing device, the service provided by the place installation device 1A is a service that provides music, and the indicators regarding the service include, for example, the type of music provided, the volume of the music, etc. , the sound quality of music, etc. The type of music is defined by, for example, the genre of music, singer, composer, lyricist, etc.

The learning model described above is generated, for example, by machine learning using a neural network such as a convolutional neural network. Note that the learning model is not limited to this example, and the learning model may be generated using machine learning using other learning algorithms such as linear regression, nonlinear regression, logistic regression, or support vector machine instead of the neural network.

The index information output from the learning model described above is, for example, information on an index value that is a value of an index related to a service. When the index regarding the service is the height of the armrest of the electric chair, the value of the index regarding the service is a value indicating the height of the armrest of the electric chair. Further, when the service-related index is the type of coffee beans, the value of the service-related index is a value indicating the type of coffee beans. Further, when the service-related index is the sound quality of music, the value of the service-related index is a value indicating the music sound quality.

The learning model can output index information suitable for the user U based on the user information, and the location installation device 1A can output index information suitable for the user U based on the index information output from the learning model that has input the user information. be able to provide suitable services.

The learning model is generated using learning data including, for example, index values and user U information. For example, the learning model is generated using learning data that includes the value of the index set by the user U as label data and also includes the user U's attribute information.

In addition, the learning model includes, for example, the value of the index set by the user U as label data, and information about the user U before setting the index value (for example, action history information of the user UA, context information of the user U, etc.) It is generated using training data including . The information about the user U before setting the index value is, for example, the information about the user U from when the index value was set by the user U until a predetermined period ago. Note that the learning model generation method is not limited to the example described above.

Next, the second information acquisition mode will be explained. As described above, the second information acquisition mode is an information acquisition mode in which index type information is transmitted as index related information to the terminal device 2 and index information corresponding to the index type information is acquired from the terminal device 2. The index information output from the terminal device 2 in the second information acquisition mode is the same as the index information output from the terminal device 2 in the first information acquisition mode.

The indicator type information transmitted to the terminal device 2 includes information indicating the indicator type, which is the type of indicator related to the service provided by the location installation device 1A. For example, when the place setting device 1A is the electric chair described above, the index types include, for example, the height of the armrest, the reclining angle, the height of the seat, and the softness of the seat.

Further, when the location installation device 1A is an automatic serving device, the index types include, for example, the type of coffee beans, the presence or absence of milk, the amount of coffee, the amount of milk, and the temperature of the coffee. Further, when the location installation device 1A is a music providing device, the index type is, for example, the type of music to be provided, the volume of the music, the sound quality of the music, etc.

Further, the index type information may further include calculation information that is information used to calculate an index value that is a value of an index related to a service provided by the location installation device 1A. The calculation information includes, for example, information on an index value calculation formula or information on a learning model. The information on the learning model is, for example, the same as the information on the learning model in the first information acquisition mode.

In step S1, the location installation device 1A determines an information acquisition mode according to the terminal device 2, for example, based on the terminal information output from the terminal device 2. The terminal information is, for example, information indicating an information acquisition mode that the terminal device 2 can support.

For example, if the terminal information indicates that the location installation device 1A is a terminal device 2 that can only support the first information acquisition mode, the location installation device 1A determines the first information acquisition mode as the information acquisition mode and selects only the second information acquisition mode. When the terminal information indicates that the terminal device 2 is compatible, the second information acquisition mode is determined as the information acquisition mode.

Further, if the terminal information indicates that the location installation device 1A is a terminal device 2 that can support both the first information acquisition mode and the second information acquisition mode, the location installation device 1A can be used in both the first information acquisition mode and the second information acquisition mode. Among these, a predetermined information acquisition mode is determined.

Subsequently, the location installation device 1A provides index-related information according to the information acquisition mode determined in step S2 (step S3). In the process of step S3, the location installation device 1A transmits learning model information or index type information regarding the service provided by the location installation device 1A to the terminal device 2 as index related information.

For example, when the information acquisition mode determined in step S2 is the first information acquisition mode, the location installation device 1A transmits the learning model information as index-related information to the terminal device 2, and the information acquisition mode determined in step S2 is in the second information acquisition mode, the indicator type information is transmitted to the terminal device 2 as indicator related information.

When there are multiple types of indicators related to services provided by the location installation device 1A, the learning model information provided by the location installation device 1A is learning model information for each type. Note that the information on the learning model for each type includes information on a learning model that receives user information as input and outputs information indicating the value of each type of index regarding the service as index information.

Furthermore, when there are multiple types of indicators regarding the services provided by the location installation device 1A, the index type information provided by the location installation device 1A includes multiple types of index type information regarding the services provided by the location installation device 1A.

Subsequently, the terminal device 2 receives index-related information that is information according to the information acquisition mode provided from the location installation device 1A, and transmits index information corresponding to the received index-related information to the location installation device 1A. (Step S4).

For example, if the received index-related information is information on a learning model, the terminal device 2 inputs the user information into the learning model indicated by the information on the learning model, and sets the index information output from the learning model at a location. Send to device 1A.

Furthermore, when the received indicator related information is indicator type information, the terminal device 2 calculates an indicator value, which is the value of the indicator of the type indicated by the indicator type information, based on the user information. Then, the terminal device 2 transmits index information including information on the calculated index value to the location installation device 1A.

Subsequently, the location installation device 1A operates based on the index information transmitted from the terminal device 2 (step S5). For example, when the place setting device 1A is the electric chair described above, the place setting device 1A, in step S5, adjusts the height of the armrest, adjusts the reclining angle, adjusts the height of the seat, adjusts the seat The softness adjustment and the like are performed based on the index information transmitted from the terminal device 2.

In addition, when the place installation device 1A is an automatic serving device, the place installation device 1A is a terminal device that can, for example, select the ingredients to be included in the food and drink to be served, adjust the amount of food and drink, and adjust the temperature of the food and drink. The food and beverages are served based on the index information sent from No. 2.

Note that the devices at the service providing location AR include a location control device 1B, which is a device capable of controlling the above-mentioned location installation devices 1A ₁ to 1A _n , and the terminal device 2 is controlled via the location control device 1B. It is also possible to control the location devices 1A ₁ to 1A _n .

In this case, the location control device 1B communicates with the terminal device 2, and based on location information indicating the location of the user U transmitted from the terminal device 2, the location control device 1B locates a location within a predetermined range from the location of the user U. The index related information of the installation device 1A is transmitted to the terminal device 2. The terminal device 2 generates index information based on the index related information from the location control device 1B, and transmits the generated index information to the location control device 1B.

The location control device 1B transmits the index information from the terminal device 2 to the location installation device 1A located within a predetermined range from the user's U position. As a result, the location installation device 1A located within a predetermined range from the location of the user U acquires index information from the terminal device 2 via the location control device 1B, and operates based on the acquired index information.

In this manner, in the first information acquisition mode, the terminal device 2 inputs user information, which is information about a user who uses a place where a service is provided, and obtains index information, which is information on an index value indicating a value of an index related to the service. Information on a learning model generated by machine learning to be output is acquired from the location installation device 1A or location control device 1B, user information is input to the learning model, and index information output from the learning model is acquired from the location installation device 1A. Or output to the location control device 1B. Thereby, the terminal device 2 can reduce the processing load on the device at the service providing location AR.

Furthermore, in the second information acquisition mode, the terminal device 2 acquires index type information indicating the type of index related to the service from the location installation device 1A or the location control device 1B, and acquires the index type information indicating the type of index indicated by the index type information. An index value, which is a value, is calculated, and index information, which is information about the calculated index value, is output to the location installation device 1A or the location control device 1B. This also allows the terminal device 2 to reduce the processing load on the device at the service providing location AR.

Hereinafter, the configuration of an information processing system including the terminal device 2, location installation device 1A, and location control device 1B that performs such processing will be described in detail.

[2. Information processing system configuration]
FIG. 2 is a diagram illustrating an example of the configuration of the information processing system according to the embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes a plurality of location installation devices 1A, a location control device 1B, and a plurality of terminal devices 2. A plurality of location installation devices 1A and location control devices 1B are provided for each service providing location AR. In the following, when each of the location installation device 1A and the location control device 1B is shown without being individually distinguished, they may be referred to as location device 1. Note that the location control device 1B may be provided outside the service providing location AR, for example.

Each of the plurality of location devices 1 and each of the plurality of terminal devices 2 can communicate with each other by short-range wireless communication. Examples of the short-range wireless communication include Bluetooth, Felica, and ISO/IEC14443.

Further, each of the plurality of place devices 1 and each of the plurality of terminal devices 2 are connected to each other via a network N so as to be able to communicate with each other by wire or wirelessly. The network N is, for example, a LAN or a WAN (Wide Area Network) such as the Internet. WAN includes, for example, LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation), and the like.

Each terminal device 2 is, for example, a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a smartphone, a mobile phone, or a PDA (Personal Digital Assistant). Each terminal device 2 is operated by a user U. Note that each terminal device 2 is not limited to the example described above, and may be, for example, a smart watch or a wearable device.

[3. Configuration of location installation device 1A]
FIG. 3 is a diagram showing an example of the configuration of the location installation device 1A according to the embodiment. As shown in FIG. 3, the location installation device 1A according to the embodiment includes a communication section 10A, a storage section 11A, function execution sections 12 ₁ to 12 _k , and a processing section 13A. k is an integer of 2 or more. In the following, each of the function execution units 12 ₁ to 12 _k may be referred to as the function execution unit 12 when shown without being individually distinguished.

[3.1. Communication department 10A]
The communication unit 10A is realized by, for example, a NIC (Network Interface Card). The communication unit 10A transmits and receives information to and from the location control device 1B and the terminal device 2 by short-range wireless communication.

The communication unit 10A is connected to the network N by wire or wirelessly, and can also transmit and receive information between the location control device 1B and the terminal device 2 via the network N.

[3.2. Storage unit 11A]
The storage unit 11A is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 11A stores, for example, the above-mentioned learning model information and index type information for each index. The information on the learning model is information on a model that inputs user information, which is information about the user U, and outputs index information, which is information on an index value indicating the value of an index related to a service.

The user information input to the learning model is at least one of user U's attribute information, user U's behavior history information, and user U's context information. The attribute information of the user U is information indicating the attributes of the user U, and the attributes of the user U are, for example, the demographic attributes of the user U, the psychographic attributes of the user U, and the like.

The behavior history information of the user U is history information of the past behavior of the user U, and is the past online behavior or offline behavior of the user U. For example, it includes one or more of user U's past content viewing information, user U's past transaction target purchase information, user U's past content search information, and the like. The content is, for example, web content.

The context information of the user U is information indicating the context of the user U, and the context of the user U is the situation of the user U, for example, the situation of the user U obtained from one or more sensors built into the terminal device 2. (user U's position, user U's orientation, user U's motion, user's U's body temperature, user's U's heart rate, user's U's pulse, etc.).

The service-related index is an index that defines the operation or processing of the location installation device 1A. For example, if the location installation device 1A is an electric chair that can electrically change the height of the armrest, reclining angle, seat height, seat softness, etc., the services provided by the location installation device 1A is a service for using an electric chair, and the service-related indicators include, for example, the height of the armrest, the reclining angle, the height of the seat, and the softness of the seat.

Further, when the place installation device 1A is an automatic serving device, the service provided by the place installation device 1A is a food and drink provision service, and the index regarding the service is, for example, the number of ingredients included in the food and drink to be served. These include the type, amount of food and drink, and temperature of food and drink. For example, if the automatic serving device is a coffee maker, the service-related indicators include, for example, the type of coffee beans, the presence or absence of milk, the amount of coffee, the amount of milk, and the temperature of the coffee.

Further, when the place installation device 1A is an order reception device, the service provided by the place installation device 1A is a food and drink order reception service, and the index regarding the service is, for example, in the menu provided to the user U. These include the type of food and drink, the order of the food and drink on the menu, and the manner in which the menu is presented.

Further, when the place installation device 1A is a music providing device, the service provided by the place installation device 1A is a service that provides music, and the indicators regarding the service include, for example, the type of music provided, the volume of the music, etc. , the sound quality of music, etc. The type of music is defined by, for example, the genre of music, singer, composer, lyricist, etc.

The learning model described above is generated, for example, by machine learning using a neural network such as a convolutional neural network. Note that the learning model is not limited to this example, and the learning model may be generated using machine learning using other learning algorithms such as linear regression, nonlinear regression, logistic regression, or support vector machine instead of the neural network.

The index information output from the learning model described above is, for example, information on an index value that is a value of an index related to a service. When the index regarding the service is the height of the armrest of the electric chair, the value of the index regarding the service is a value indicating the height of the armrest of the electric chair. Further, when the service-related index is the type of coffee beans, the value of the service-related index is a value indicating the type of coffee beans. Further, when the service-related index is the sound quality of music, the value of the service-related index is a value indicating the music sound quality.

The learning model can output index information suitable for the user U based on the user information, and the location installation device 1A can output index information suitable for the user U based on the index information output from the learning model that has input the user information. be able to provide suitable services.

The learning model is generated using learning data including, for example, index values and user U information. For example, the learning model is generated using learning data that includes the value of the index set by the user U as label data and also includes the user U's attribute information.

In addition, the learning model includes, for example, the value of the index set by the user U as label data, and information about the user U before setting the index value (for example, action history information of the user UA, context information of the user U, etc.) It is generated using training data including . The information about the user U before setting the index value is, for example, the information about the user U from when the index value was set by the user U until a predetermined period ago. Note that the learning model generation method is not limited to the example described above.

Further, the learning model may be a learning model for each user U, or may be a learning model common to a plurality of users U. A learning model for each user U is generated using learning data for each user U including, for example, an index value and information about the user U, and a learning model common to a plurality of users U is generated using, for example, the index value and the information about the user U. and user U information for each user U.

[3.3. Function execution unit 12]
Each function execution unit 12 executes a corresponding function among the plurality of functions that the location installation device 1A has. For example, when the place installation device 1A is an electric chair, the function execution unit 12 includes, for example, a drive mechanism unit that changes the height of the armrest, a drive mechanism unit that changes the reclining angle, and a drive mechanism unit that changes the height of the seat. These include a drive mechanism section and a drive mechanism section that changes the softness of the seat.

In addition, when the place installation device 1A is an automatic serving device, the function execution unit 12 includes, for example, a selection mechanism unit that selects ingredients to be included in food and drink to be served, an amount adjustment mechanism unit that adjusts the amount of food and drink, and a food and drink This includes a temperature adjustment mechanism that adjusts the temperature of objects.

Further, when the place installation device 1A is a coffee maker, the function execution unit 12 includes, for example, a selection mechanism unit that selects the type of coffee beans, an amount adjustment mechanism unit that adjusts the amount of coffee, and an amount adjustment mechanism unit that adjusts the amount of milk. These include an adjustment mechanism section, a temperature adjustment mechanism section that adjusts the temperature of coffee, and the like.

Further, when the place installation device 1A is an order receiving device, the function execution unit 12 includes, for example, a type changing unit that changes the type of food and drink on the menu, an order changing unit that changes the order of food and drink on the menu, and an order changing unit that changes the order of food and drink on the menu. This includes a presentation mode changing unit that changes the presentation mode of food and drink. The presentation aspect of the food and drink on the menu includes, for example, the size, design, and arrangement of the food and drink on the menu.

Further, when the location installation device 1A is a music providing device, the function execution unit 12 includes, for example, a type determining unit that determines the type of music to be provided, a volume determining unit that determines the volume of the music, and a volume determining unit that determines the sound quality of the music. This is a sound quality determining section, etc. The type of music is defined by, for example, the genre of music, singer, composer, lyricist, etc.

[3.4. Processing unit 13A]
The processing unit 13A is a controller, and various programs stored in the storage device inside the location installation device 1A use the RAM as a work area using, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). This is achieved by executing as .

The processing unit 13A may be partially or entirely realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array), for example. The processing section 13A includes an information acquisition section 14A, a determination section 15A, a function control section 16, and an information output section 17A.

[3.4.1. Information acquisition unit 14A]
The information acquisition unit 14A acquires information from an external device. For example, the information acquisition unit 14A acquires index information transmitted from the terminal device 2 or the location control device 1B and received by the communication unit 10A.

The information acquisition unit 14A also acquires terminal information transmitted from the terminal device 2 and received by the communication unit 10A. The terminal information is, for example, information necessary for the determination unit 15A to determine the information acquisition mode, and includes information indicating the type and version of the OS (Operating System) and applications of the terminal device 2, or the model or model number of the terminal device 2. This is information indicating such things.

[3.4.2. Determination section 15A]
The determining unit 15A determines an information acquisition mode according to the terminal device 2. The mode is either information acquisition mode or second information acquisition mode.

The first information acquisition mode is an information acquisition mode in which learning model information is transmitted to the terminal device 2 as index-related information, and the terminal device 2 acquires index information obtained using the learning model information from the terminal device 2. . The second information acquisition mode is an information acquisition mode in which index type information is transmitted to the terminal device 2 as index related information and index information corresponding to the index type information is acquired from the terminal device 2.

For example, based on the terminal information acquired by the information acquisition unit 14A, if the terminal information indicates that the terminal device 2 is compatible only with the first information acquisition mode, the determination unit 15A determines that the first information acquisition mode is the first information acquisition mode. When the acquisition mode is determined and the terminal information indicates that the terminal device 2 is compatible only with the second information acquisition mode, the second information acquisition mode is determined as the information acquisition mode.

Further, when the terminal information indicates that the terminal device 2 is compatible with both the first information acquisition mode and the second information acquisition mode, the determining unit 15A selects one of the first information acquisition mode and the second information acquisition mode. Determine a predetermined information acquisition mode.

Further, the terminal information may include information specifying the type of index-related information. In this case, the determining unit 15A determines the information acquisition mode corresponding to the type of index-related information indicated by the terminal information, out of the first information acquisition mode and the second information acquisition mode.

[3.4.3. Function control unit 16]
The function control unit 16 causes each function execution unit 12 to execute a function based on the index information for each index acquired by the information acquisition unit 14A. The index information includes information indicating an index value, and the index value is a setting value indicating an operation setting of the location installation device 1A or a value corresponding to the setting value. When the index value corresponds to the set value, the function control unit 16 converts the index value into the set value and causes the function execution unit 12 to execute the function.

For example, when the place installation device 1A is an electric chair, the index information for each index includes an index value indicating the height of the armrest, an index value indicating the reclining angle, an index value indicating the height of the seat, and an index value indicating the height of the seat. Contains information such as index values indicating the softness of the material. The function control unit 16 executes multiple functions such as adjusting the height of the armrest, adjusting the reclining angle, adjusting the height of the seat, and adjusting the softness of the seat based on the index information for each index. part 12 to execute it.

In addition, when the place installation device 1A is an automatic serving device, the index information for each index includes an index value indicating the type of material included in the food and drink to be served, an index value indicating the amount of food and drink, and the temperature of the food and drink. Contains information such as index values indicating The function control unit 16 causes the plurality of function execution units 12 to execute operations such as selection of ingredients to be included in the food and drink to be served, adjustment of the amount of food and drink, and adjustment of the temperature of the food and drink, based on the index information for each index. let

In addition, when the location installation device 1A is a coffee maker, the index information for each index includes an index value indicating the type of coffee beans, an index value indicating the amount of coffee, an index value indicating the presence or absence of milk, and the amount of milk. Information such as the index value indicating the temperature of the coffee and the index value indicating the temperature of the coffee are included. The function control unit 16 causes the plurality of function execution units 12 to select coffee beans, adjust the amount of coffee, adjust the amount of milk, adjust the temperature of coffee, etc. based on the index information for each index.

In addition, when the place installation device 1A is an order reception device, the index information for each index includes an index value indicating the type of food and drink on the menu, an index value indicating the order of the food and drink on the menu, and a presentation of the food and drink on the menu. Information such as index values indicating the mode is included. The function control unit 16 controls the plurality of function execution units 12 to select foods and drinks to be included in the menu, adjust the order of foods and drinks in the menu, adjust the presentation mode of foods and drinks in the menu, etc. based on the index information for each index. have it executed.

Furthermore, when the place installation device 1A is a music providing device, the index information for each index includes information such as an index value indicating the type of music, an index value indicating the volume of the music, and an index value indicating the sound quality of the music. It is. The function control unit 16 causes the plurality of function execution units 12 to select the music to be provided, adjust the volume of the music, adjust the sound quality of the music, etc., based on the index information for each index.

In addition, for example, when the location installation device 1A is a device that is used by a plurality of users U at the same time, the function control unit 16 may set multiple setting values according to the same plurality of index information output from the plurality of terminal devices 2. causes the function execution unit 11 of the controller to execute the function.

When the place-installed device 1A is a device that is used by multiple users U at the same time, for example, when the place-installed device 1A is a lighting device, when the place-installed device 1A is an air conditioning device, when the place-installed device 1A is a device that is used for music In this case, the location installation device 1A is an order receiving device.

The setting value corresponding to the same plurality of index information is, for example, a value obtained by substituting the plurality of index values indicated by the same plurality of index information into a predetermined calculation formula (e.g., average value, median value, etc.). , or a weighted addition value, etc.). The weighted addition value is, for example, a value obtained by adding the index value with a weight for each user U.

For example, the weight of the user U is set higher as the past usage frequency of the location installation device 1A is higher, but it may be set higher as the past usage time of the location installation device 1A is longer. Note that the above-described predetermined arithmetic expression may be a different arithmetic expression for each index, or may be a common arithmetic expression for two or more indicators.

The function control unit 16 can also set, for example, the index value of the user U having the highest priority among the plurality of index values indicated by the same plurality of index information as the set value. The priority of the user U is set, for example, for each location installation device 1A or for each service providing location AR. For example, the longer the past usage frequency and past usage time of the location installation device 1A, the higher the priority of the user U is set. Furthermore, the higher the usage amount at the service providing location AR, the higher the priority of the user U is set.

Furthermore, when the location installation device 1A is, for example, a music providing device, a plurality of index values indicated by the same plurality of index information can be sequentially set as the set value. In this case, the longer the past usage frequency and the past usage time of the location installation device 1A, the longer the time for adopting the index value of the user U as the setting value, or the longer the index value of the user U with higher priority, the more the setting value. It is also possible to extend the recruitment time. In this manner, the function control unit 16 can cause the location installation device 1A to perform the operations according to the index values of the user U for each period.

[3.4.4. Information output section 17A]
The information output unit 17A transmits index-related information corresponding to the information acquisition mode determined by the determination unit 15A to the terminal device 2 or the location control device 1B via the communication unit 10A.

For example, when the information acquisition mode determined by the determination unit 15A is the first information acquisition mode, the information output unit 17A transmits information on the learning model for each index to the terminal device 2 or the location control device 1B.

Furthermore, when the information acquisition mode determined by the determination unit 15A is the second information acquisition mode, the information output unit 17A transmits index type information for each index to the terminal device 2 or the location control device 1B. The indicator type information includes information indicating an indicator type that is a type of indicator related to a service provided by the location installation device 1A. For example, when the place setting device 1A is the electric chair described above, the index types include, for example, the height of the armrest, the reclining angle, the height of the seat, and the softness of the seat.

Further, when the location installation device 1A is an automatic serving device, the index types include, for example, the type of coffee beans, the presence or absence of milk, the amount of coffee, the amount of milk, and the temperature of the coffee. Further, when the location installation device 1A is a music providing device, the index type is, for example, the type of music to be provided, the volume of the music, the sound quality of the music, etc.

Further, the index type information may further include calculation information that is information used to calculate an index value that is a value of an index related to a service provided by the location installation device 1A. The calculation information includes, for example, information on an index value calculation formula or information on a learning model. The learning model information is, for example, the same as the learning model information in the first information acquisition mode.

For example, the information output unit 17A transmits index-related information corresponding to the information acquisition mode determined by the determination unit 15A to the terminal device 2 when the terminal device 2 is located within a predetermined range from the location installation device 1A. . The information output unit 17A determines whether the location is within a predetermined range from the location installation device 1A based on the strength of the signal transmitted from the terminal device 2 by short-range wireless communication or the position information transmitted from the terminal device 2. Determine whether

Further, the information output unit 17A can also transmit index-related information corresponding to the information acquisition mode determined by the determination unit 15A to the terminal device 2, for example, when there is a request from the location control device 1B.

[4. Configuration of location control device 1B]
FIG. 4 is a diagram showing an example of the configuration of the location control device 1B according to the embodiment. As shown in FIG. 4, the location control device 1B according to the embodiment includes a communication section 10B, a storage section 11B, and a processing section 13B. The communication section 10B is the same as the communication section 10A, so the description thereof will be omitted.

[4.1. Storage part 11B]
The storage unit 11B is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 11B stores, for example, learning model information for each index and index type information for each index for each location installation device 1A.

[4.2. Processing unit 13B]
The processing unit 13B is a controller, and is realized by, for example, a CPU or MPU executing various programs stored in a storage device inside the location control device 1B using the RAM as a work area.

The processing unit 13B may be partially or entirely realized, for example, by an integrated circuit such as an ASIC or an FPGA. The processing section 13B includes an information acquisition section 14B, a determination section 15B, and an information output section 17B.

[4.2.1. Information acquisition unit 14B]
The information acquisition unit 14B acquires information from an external device. For example, the information acquisition unit 14B, like the information acquisition unit 14A, acquires index information transmitted from the terminal device 2 and received by the communication unit 10B.

[4.2.2. Determination section 15B]
The determining unit 15B determines the information acquisition mode according to the terminal device 2, similarly to the determining unit 15A.

[4.2.3. Information output section 17B]
Similar to the information output unit 17A, the information output unit 17B transmits index-related information corresponding to the information acquisition mode determined by the determination unit 15B to the terminal device 2 via the communication unit 10B.

For example, the information output unit 17B transmits index-related information to the terminal device 2 via the communication unit 10B when the terminal device 2 is located within a predetermined range from the location installation device 1A. The predetermined range is set for each location installation device 1A, and the information output unit 17B outputs index-related information corresponding to the location installation device 1A in which the terminal device 2 is located within the predetermined range to the terminal device 2. via the communication unit 10B.

The information output unit 17B determines whether the location is within a predetermined range from the location installation device 1A based on the strength of the signal transmitted from the terminal device 2 by short-range wireless communication or the position information transmitted from the terminal device 2. Determine whether

Further, the information output unit 17B transmits the index information acquired by the information acquisition unit 14B to the location installation device 1A corresponding to the index information via the communication unit 10B.

[5. Terminal device 2]
FIG. 5 is a diagram showing an example of the configuration of the terminal device 2 according to the embodiment. As shown in FIG. 5, the terminal device 2 according to the embodiment includes a communication section 20, a display section 21, an operation section 22, a sensor group 23, a storage section 24, and a processing section 25.

[5.1. Communication department 20]
The communication unit 20 is realized by, for example, a NIC. The communication unit 20 transmits and receives information to and from each of the location installation device 1A and the location control device 1B by short-range wireless communication.

The communication unit 20 is connected to the network N by wire or wirelessly, and can also transmit and receive information between the location installation device 1A and the location control device 1B via the network N.

[5.2. Display section 21]
The display unit 21 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display.

[5.3. Operation unit 22]
The operation unit 22 includes, for example, a keyboard including keys for inputting letters, numbers, and spaces, an enter key, and arrow keys, a mouse, a power button, and the like. If the display unit 21 is a touch panel compatible display, the operation unit 22 includes a touch panel.

[5.4. Sensor group 23]
The sensor group 23 includes various sensors. The sensor group 23 includes, for example, a positioning sensor, an acceleration sensor, a gyro sensor, a geomagnetic sensor, a voice sensor (microphone), an illuminance sensor, a temperature sensor, a humidity sensor, a pressure sensor, a proximity sensor, odor, sweat, heartbeat, pulse, brain waves, etc. This includes sensors for acquiring biometric information, image sensors, etc. The positioning sensor is a sensor that detects the position of the terminal device 2 and outputs position information.

[5.5. Storage unit 24]
The storage unit 24 is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk.

The storage unit 24 stores, for example, information transmitted from the location installation device 1A or the location control device 1B and acquired by the processing unit 25 via the communication unit 20, and detection information that is information detected by the sensor group 23. be done. The storage unit 24 also stores the above-mentioned terminal information and the like.

Further, the storage unit 24 stores information about the user U. The information on the user U includes, for example, attribute information on the user U, action history information on the user U, context information on the user U, and the like.

The attribute information of the user U is information indicating the attributes of the user U, and the attributes of the user U are, for example, the demographic attributes of the user U, the psychographic attributes of the user U, and the like. Demographic attributes are demographic attributes, such as age, gender, occupation, place of residence, annual income, and family structure. Psychographic attributes are psychological attributes, such as lifestyle, values, interests, and the like.

The action history information of the user U is, for example, history information that includes information such as the user U's service usage history, and includes, for example, the payment history information of the user U, the search history information of the user U, the browsing history information of the user U, and user U's context history information.

User U's payment history information includes purchase history information regarding products that User U purchased online, at a physical store, or at a physical facility using a payment service; This includes service usage history information regarding services used for a fee.

The purchase history information includes information on products purchased by user U, purchase cost information, purchase date and time, purchase store information, and the like. The service usage history information includes information on services used by user U, information on usage fees, date and time of usage, information on stores used, and the like.

The search history information of the user U is, for example, information on the search history of web content on search sites, information on the search history on various websites, and the like. User U's browsing history information is information about user U's browsing history of web content.

The context history information of the user U is history information of the user U context detected by the sensor group 23 and the user U context determined by the processing unit 25 based on detection information and the like. User U's context is user U's situation.

The situation of the user U is, for example, the position of the user U, the orientation of the user U, the movement of the user U, the body temperature of the user U, the heart rate of the user U, the pulse rate of the user U, etc., and is stored in the storage unit 24 by the processing unit 25. be remembered.

Note that the situation of the user U may be, for example, a state where the user U is traveling by train, a state where the user U is taking a walk, a state where the user U is taking a bath, a state where the user U is sleeping, etc. It's okay.

Further, the storage unit 24 may store calculation information for each index type in advance, for example, and may be transmitted from the location installation device 1A or the location control device 1B and acquired by the processing unit 25 via the communication unit 20. Calculation information for each index type may be stored.

[5.6. Processing unit 25]
The processing unit 25 is a controller, and is realized by, for example, a CPU or MPU executing various programs stored in a storage device inside the terminal device 2 using the RAM as a work area.

The processing unit 25 may be partially or entirely realized by, for example, an integrated circuit such as an ASIC or an FPGA. The processing section 25 includes an information acquisition section 30, a determination section 31, a calculation section 32, a display processing section 33, an information output section 34, and a deletion section 35.

[5.6.1. Information acquisition unit 30]
The information acquisition unit 30 acquires various information from external devices. For example, the information acquisition unit 30 acquires index-related information transmitted from the location installation device 1A or the location control device 1B and received by the communication unit 20 via short-range wireless communication or the network N.

Further, the information acquisition unit 30 acquires various contents from an external information processing device. The content is, for example, web content, such as news content, weather content, shopping content, etc.

The information acquisition unit 30 includes a first information acquisition unit 40 and a second information acquisition unit 41. The first information acquisition unit 40 acquires index-related information from the location installation device 1A or the location control device 1B. The indicator related information is learning model information or indicator type information.

The information on the learning model is information on a learning model generated by machine learning using user information, which is information about user U, as input and index information as output. The indicator type information includes information indicating an indicator type that is a type of indicator related to a service provided by the location installation device 1A.

Further, the index type information may further include calculation information that is information used to calculate an index value that is a value of an index related to a service provided by the location installation device 1A. The calculation information includes, for example, information on an index value calculation formula or information on a learning model.

Further, the second information acquisition unit 41 inputs user information to the learning model whose information has been acquired by the first information acquisition unit 40, and acquires index information output from the learning model for each index. Note that, instead of inputting user information and acquiring index information output from the learning model by calculation using the learning model for each index, the second information acquisition unit 41 uses the learning model used by the calculation unit 32. It is also possible to obtain index information for each index from the calculation unit 32 by inputting user information into the .

[5.6.2. Judgment unit 31]
The determination unit 31 determines the context of the user U based on the detection information output from the sensor group 23. The determination unit 31 causes the storage unit 24 to store the determined context information of the user U.

The determining unit 31 determines the position of the user U, the direction of the user U, the motion of the user U, etc. based on information detected by a positioning sensor, an acceleration sensor, a gyro sensor, a geomagnetic sensor, etc.

Further, the determination unit 31 determines the emotion of the user U based on information detected by a sensor for acquiring biological information such as odor, sweat, heartbeat, pulse, and brain waves. Further, the determination unit 31 determines, based on the results detected by one or more sensors included in the sensor group 23, that the user U is traveling by train, that the user U is taking a walk, and that the user U is taking a bath. It is also possible to detect the state in which the user U is sleeping, the state in which the user U is sleeping, etc.

[5.6.3. Calculation unit 32]
The calculation unit 32 calculates, for each index, the index value of the type indicated by the index type information acquired by the first information acquisition unit 40, based on user information that is information about the user U.

When the index type information includes calculation information, the calculation unit 32 calculates the calculation information from the user information acquired by the information acquisition unit 30, which is the user information used to calculate the index value using the calculation information. Calculate the index value for each index using

For example, when the calculation information is information on an index value calculation formula, the calculation unit 32 calculates the calculation formula by substituting the user information acquired by the information acquisition unit 30 into the calculation formula. By doing so, the index value is calculated.

In addition, when the calculation information is learning model information, the calculation unit 32 inputs the user information acquired by the information acquisition unit 30 into the learning model and calculates an index value using the learning model. and obtain the index value which is the output of the learning model.

Further, when the index type information does not include calculation information and the calculation information is stored in the storage unit 24, the calculation unit 32 calculates the calculation information corresponding to the index type indicated by the index type information. The index value is calculated using the calculation information acquired from the storage unit 24 .

[5.6.4. Display processing unit 33]
The display processing unit 33 causes the display unit 21 to display the information acquired by the information acquisition unit 30. For example, the display processing unit 33 causes the display unit 21 to display information such as content acquired by the information acquisition unit 30.

[5.6.5. Information output unit 34]
The information output unit 34 transmits various types of information to an external device via the communication unit 20. For example, operation information that is information corresponding to an operation on the operation unit 22 by the user U is transmitted to an external information processing device via the communication unit 20.

Further, the information output unit 34 transmits, for example, the terminal information stored in the storage unit 24 to the location installation device 1A or the location control device 1B via the communication unit 20.

Further, the information output unit 34 transmits the index information acquired by the second information acquisition unit 41 or the index information calculated by the calculation unit 32 to the location installation device 1A or the location control device 1B via the communication unit 20.

[5.6.6. Deletion part 35]
The deletion unit 35 deletes the learning model information acquired from the location device 1 by the information acquisition unit 30 and stored in the storage unit 24 after the index information output from the learning model is output from the information output unit 34. It is deleted from the storage unit 24.

[6. Processing procedure]
Next, the procedure of information processing by the processing unit 13A of the location installation device 1A according to the embodiment will be explained. FIG. 6 is a flowchart showing an example of information processing by the processing unit 13A of the location installation device 1A according to the embodiment.

As shown in FIG. 6, the processing unit 13A of the location installation device 1A determines whether there is terminal information acquired from the terminal device 2 (step S10). When the processing unit 13A determines that there is terminal information (step S10: Yes), the processing unit 13A determines an information acquisition mode based on the terminal information (step S11). Then, the processing unit 13A transmits index-related information corresponding to the determined information acquisition mode to the terminal device 2 (step S12).

When the process of step S12 is completed or when it is determined that there is no terminal information (step S10: No), the processing unit 13A determines whether there is index information acquired from the terminal device 2 (step S13). . When the processing unit 13A determines that there is index information (step S13: Yes), the processing unit 13A controls the function execution unit 12 based on the acquired index information (step S14).

When the processing in step S14 is completed or when it is determined that there is no index information (step S13: No), the processing unit 13A determines whether or not the operation end timing has come (step S15). For example, when the power of the location installation device 1A is turned off, or when it is determined that a termination operation has been performed by operating an operation section (not shown) of the location installation device 1A, the processing section 13A determines the operation end timing. It is determined that it has become.

If the processing unit 13A determines that the operation end timing has not come (step S15: No), the process proceeds to step S10, and if it determines that the operation end timing has come (step S15: Yes), the process proceeds to FIG. The indicated process ends.

Next, a procedure for information processing by the processing unit 13B of the location control device 1B according to the embodiment will be described. FIG. 7 is a flowchart showing an example of information processing by the processing unit 13B of the location control device 1B according to the embodiment. The processing in steps S20 to S23 and S25 shown in FIG. 7 is the same as the processing in steps S10 to S13 and S15 in FIG. 6, and therefore the description thereof will be omitted.

As shown in FIG. 7, when determining that there is index information (step S23: Yes), the processing unit 13B of the location control device 1B transmits the acquired index information to the location installation device 1A corresponding to the index information. (Step S24).

Next, a procedure for information processing by the processing unit 25 of the terminal device 2 according to the embodiment will be described. FIG. 8 is a flowchart illustrating an example of information processing by the processing unit 25 of the terminal device 2 according to the embodiment.

As shown in FIG. 8, the processing unit 25 of the terminal device 2 determines whether or not the location device 1 is detected (step S30). When the processing unit 25 determines that the location device 1 has been detected (step S30: Yes), the processing unit 25 transmits the terminal information stored in the storage unit 24 to the detected location device 1 (step S31).

When the process of step S31 is completed, the processing unit 25 determines that the location device 1 is not detected (step S30: No), and determines whether there is index-related information acquired from the location device 1 (step S32).

If the processing unit 25 determines that there is index-related information (step S32: Yes), it calculates an index value based on the index-related information (step S33). Then, the processing unit 25 transmits index information including information on the index value calculated in step S33 to the location device 1 (step S34).

When the process of step S34 is completed, or when it is determined that there is no index-related information (step S32: No), the processing unit 25 determines whether or not the operation end timing has come (step S35).

The processing unit 25 determines that the operation end timing has come, for example, when the power of the terminal device 2 is turned off or when it is determined that a termination operation has been performed by operating the operation unit 22 of the terminal device 2. .

If the processing unit 25 determines that the operation end timing has not come (step S35: No), the process proceeds to step S30, and if it determines that the operation end timing has come (step S35: Yes), the process proceeds to FIG. The indicated process ends.

[7. Hardware configuration]
Each of the location device 1 and the terminal device 2 according to the embodiments described above is realized, for example, by a computer 80 having a configuration as shown in FIG. FIG. 9 is a hardware configuration diagram showing an example of a computer 80 that realizes the functions of the location device 1 and the terminal device 2 according to the embodiment. The computer 80 includes a CPU 81, a RAM 82, a ROM (Read Only Memory) 83, an HDD (Hard Disk Drive) 84, a communication interface (I/F) 85, an input/output interface (I/F) 86, and a media interface (I/F). )87.

The CPU 81 operates based on a program stored in the ROM 83 or HDD 84 and controls each part. The ROM 83 stores a boot program executed by the CPU 81 when the computer 80 is started, programs depending on the hardware of the computer 80, and the like.

The HDD 84 stores programs executed by the CPU 81 and data used by the programs. The communication interface 85 receives data from other devices via the network N (see FIG. 2) and sends it to the CPU 81, and sends data generated by the CPU 81 to the other devices via the network N.

The CPU 81 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse via an input/output interface 86. The CPU 81 obtains data from an input device via the input/output interface 86. Further, the CPU 81 outputs the generated data to an output device via the input/output interface 86.

Media interface 87 reads programs or data stored in recording medium 88 and provides them to CPU 81 via RAM 82. The CPU 81 loads this program from the recording medium 88 onto the RAM 82 via the media interface 87, and executes the loaded program. The recording medium 88 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 80 functions as the location device 1 and the terminal device 2 according to the embodiment, the CPU 81 of the computer 80 controls the processing units 13A, 13B and the processing unit 25 by executing a program loaded on the RAM 82. Achieve functionality. Furthermore, data in the storage units 11A and 11B or the storage unit 24 is stored in the HDD 84. The CPU 81 of the computer 80 reads these programs from the recording medium 88 and executes them, but as another example, these programs may be acquired from another device via the network N.

[8. others〕
Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of the process can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

For example, the above-mentioned location control device 1B may be realized by multiple server computers, and depending on the function, it may be realized by calling an external platform using API or network computing, so that the configuration can be changed flexibly. .

Furthermore, the embodiments and modifications described above can be combined as appropriate within a range that does not conflict with the processing contents.

[9. effect〕
As described above, the terminal device 2 according to the embodiment includes the first information acquisition section 40, the second information acquisition section 41, and the information output section 34. The first information acquisition unit 40 receives user information, which is information about the user U who uses the service providing place AR, as input, and outputs index information, which is information on index values indicating the values of indexes related to the service. Information on the learned learning model is acquired from the location device 1. The second information acquisition unit 41 inputs user information into the learning model whose information has been acquired by the first information acquisition unit 40 and acquires index information output from the learning model. The information output unit 34 outputs the index information acquired by the second information acquisition unit 41 to the location device 1. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Further, the first information acquisition unit 40 acquires learning model information for each index related to the service, and the second information acquisition unit 41 acquires index information for each index using the learning model information for each index. , the information output unit 34 outputs index information for each index. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Further, the index information is information about a setting value indicating an operation setting of the location device 1 or a value corresponding to the setting value. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Further, the location device 1 is a location installation device 1A that is installed at a location and provides a service to the user U. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Further, when the location device 1 is used by a plurality of users U at the same time, it operates with setting values according to a plurality of index information outputted from a plurality of terminal devices 2. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Further, the location device 1 is a location installation device 1A that is installed at the service providing location AR and manufactures an offering to be provided to the user U as a service. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Further, the user information is at least one of user U's attribute information, user U's action history information, and user U's context information. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

The terminal device 2 also includes a storage unit 24 that stores information on the learning model acquired by the first information acquisition unit 40, and information on the learning model from the storage unit 24 after the index information is output by the information output unit 34. and a deletion unit 35 for deleting. Thereby, the terminal device 2 can reduce the processing load on the device at the location where the service is provided to the user U.

Although the embodiments of the present application have been described above in detail based on the drawings, this is merely an example, and various modifications and improvements can be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to implement the invention in other forms.

Further, the above-mentioned "section, module, unit" can be read as "means", "circuit", etc. For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Location device 1A, 1A ₁ to 1A _n Location installation device 1B Location control device 2 Terminal device 10A, 10B, 20 Communication section 12, 12 ₁ to 12 _k Function execution section 11A, 11B, 24 Storage section 13A, 13B, 25 Processing Sections 14A, 14B, 30 Information acquisition section 15A, 15B Determination section 16 Function control section 17A, 17B, 34 Information output section 21 Display section 22 Operation section 23 Sensor group 31 Judgment section 32 Calculation section 33 Display processing section 40 First information acquisition Section 41 Second information acquisition section 100 Information processing system

Claims (10)

Information on a learning model generated by machine learning that inputs user information, which is information about users who use a place where a service is provided, and outputs index information, which is information on index values indicating the value of an index related to the service. a first information acquisition unit that acquires from a device at a location;
a second information acquisition unit that inputs the user information into the learning model whose information has been acquired by the first information acquisition unit and acquires the index information output from the learning model;
A terminal device comprising: an information output unit that outputs the index information acquired by the second information acquisition unit to a device at the location. The first information acquisition unit includes:
obtaining information on the learning model for each of the indicators;
The second information acquisition unit includes:
acquiring the index information for each index using information of the learning model for each index;
The information output section includes:
The terminal device according to claim 1, wherein the indicator information for each indicator is output. The indicator information is
The terminal device according to claim 1 or 2, wherein the information is a setting value indicating an operation setting of a device at the location or a value corresponding to the setting value. The equipment at said location is
The terminal device according to claim 3, wherein the terminal device is a device that is installed at the location and provides the service to the user. The equipment at said location is
The terminal device according to claim 4, wherein when a plurality of said users use the terminal device at the same time, the terminal device operates with setting values according to a plurality of said index information outputted from a plurality of said terminal devices. The equipment at said location is
The terminal device according to claim 4, wherein the terminal device is a device that is installed at the location and manufactures a product provided to the user as the service. The user information is
The terminal device according to claim 1 or 2, wherein the terminal device is at least one of the user's attribute information, the user's action history information, and the user's context information. a storage unit that stores information on the learning model acquired by the first information acquisition unit;
The terminal device according to claim 1 or 2, further comprising: a deletion unit that deletes information on the learning model from the storage unit after the index information is output by the information output unit. An information processing method executed by a terminal device, the method comprising:
Information on a learning model generated by machine learning that inputs user information, which is information on users who use a place where a service is provided, and outputs index information, which is information on index values indicating the value of an index related to the service. a first information acquisition step of acquiring from a device at the location;
a second information acquisition step of inputting the user information into the learning model whose information has been acquired in the first information acquisition step and acquiring the index information output from the learning model;
An information processing method comprising: an information output step of outputting the index information acquired in the second information acquisition step to a device at the location. Information on a learning model generated by machine learning that inputs user information, which is information on users who use a place where a service is provided, and outputs index information, which is information on index values indicating the value of an index related to the service. a first information acquisition procedure acquired from a device at a location;
a second information acquisition procedure of inputting the user information into the learning model whose information was acquired by the first information acquisition procedure and acquiring the index information output from the learning model;
An information processing program that causes a terminal device to execute an information output procedure of outputting the index information acquired by the second information acquisition procedure to a device at the location.

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