JP2023138242A - Method, system and program for linking real world and virtual world - Google Patents

Abstract

To provide a method and the like for linking a real world and a virtual world, which can provide a new user experience through the virtual world.SOLUTION: The present invention provides a method for linking a real world and a virtual world. The method comprises: obtaining location information indicating a current location of a user in the real world; determining whether the current location indicated by the location information is in a first area in the real world; and enabling the user to access a second area in the virtual world when the current location indicated by the location information is in the first area. The first area and the second area have the same level of at least one parameter.SELECTED DRAWING: Figure 1A

Description

The present invention relates to a method, system, and program for linking the real world and virtual world.

The number of users of virtual worlds, so-called metaverses, has been increasing in recent years, and technologies for metaverses have also been developed (for example, Patent Document 1).

JP2009-217387A

The purpose of the present invention is to provide a method for linking the real world and the virtual world, which can provide a new user experience through the virtual world.

The present invention can provide, for example, a method, system, and program for linking the real world and the virtual world. The present invention provides, for example, the following items.
(Item 1)
A method for linking the real world and the virtual world,
Obtaining location information indicating the user's current location in the real world;
determining whether the current location indicated by the location information is in the first area in the real world;
allowing the user to access a second area in the virtual world when the current location indicated by the location information is in the first area, The two areas have the same level for at least one parameter.
(Item 2)
The method according to item 1, wherein the at least one parameter includes at least one of security level, land price, luxury, and visitor demographic.
(Item 3)
3. The method of item 1 or item 2, further comprising causing an avatar of the user to enter the second area by the user accessing the second area.
(Item 4)
4. The method of any one of items 1-3, further comprising providing money in the second area by the user accessing the second area.
(Item 5)
The method according to item 4, wherein the money includes a death benefit.
(Item 6)
6. The method of any one of items 1-5, further comprising delivering a letter in the second area by the user accessing the second area.
(Item 7)
The method according to item 6, wherein the letter includes a letter from a deceased person.
(Item 8)
8. The method of any one of items 1-7, further comprising providing pre-stored information by the user accessing the second area.
(Item 9)
9. The method of item 8, wherein the first area is a medical facility and the pre-stored information includes information regarding medical insurance.
(Item 10)
10. The method of any one of items 1-9, further comprising causing the user to participate in an event in the second area by the user accessing the second area.
(Item 11)
The method according to any one of items 1 to 10, wherein the position information includes position information in a height direction.
(Item 12)
obtaining data and/or information regarding the user;
acquiring a past visit history of the user, the past visit history including a history of the user visiting areas in the real world and/or a history of the user visiting areas in the virtual world; And,
Calculating a score representing characteristics of the user based on the acquired data and/or information regarding the user and the visit history;
12. The method according to any one of items 1 to 11, further comprising determining, based on the score, what should be determined when taking an action in the second area.
(Item 13)
13. The method of item 12, wherein determining what is to be determined when performing an action in the second area includes determining an advertisement to be provided to the user in the virtual world.
(Item 14)
14. The method according to item 13, wherein the determining includes determining the matter to be determined based on the score and a rule regarding the action.
(Item 15)
further comprising modifying the rule;
Changing the said rules is
receiving a vote on the change to the rule by at least some of the stakeholders involved in the action;
The method according to item 14, comprising: changing the rules based on the results of the voting.
(Item 16)
Obtaining the location information includes:
receiving from the user's terminal device a signal received by the user's terminal device from a signal transmitting means installed in the real world;
identifying a location where the signal transmitting means is installed based on the signal, the signal transmitting means being configured to transmit the signal having an ID that is variable over time; The method described in any one of items 1 to 15.
(Item 17)
17. A method according to item 16, wherein the signal transmitting means is configured to transmit the signal with variable coverage.
(Item 18)
A system for linking the real world and the virtual world,
a location information acquisition means for acquiring location information indicating the user's current location in the real world;
determining means for determining whether the current location indicated by the location information is in the first area in the real world;
and access enabling means for allowing the user to access a second area in the virtual world when the current location indicated by the location information is in the first area, the first area and the second area has the same level for at least one parameter.
(Item 19)
A program for linking the real world and a virtual world, the program being executed on a computer including a processor unit, the program comprising:
Obtaining location information indicating the user's current location in the real world;
determining whether the current location indicated by the location information is in the first area in the real world;
causing the processor unit to perform processing including: allowing the user to access a second area in the virtual world when the current location indicated by the location information is in the first area; The first area and the second area have the same level for at least one parameter.

According to the present invention, it is possible to provide a method etc. for linking the real world and the virtual world, whereby going to a specific area in the real world is triggered to perform an action in the corresponding area in the virtual world. This allows new user experiences to be provided through the virtual world.

A diagram schematically showing an example of linking the real world and the virtual world Diagram schematically showing another example of linking the real world and the virtual world Diagram schematically illustrating yet another example of linking the real world and the virtual world A diagram showing an example of the configuration of a system 100 for linking the real world and the virtual world. A diagram showing an example of a specific configuration of a system 100 for linking the real world and the virtual world. Conceptual diagram showing an example of association of information stored in the database unit 200 Conceptual diagram showing another example of association of information stored in the database unit 200 A diagram showing an example of the configuration of the processor section 120 A diagram showing an example of an additional configuration of the processor unit 120 A diagram showing another example of an additional configuration of the processor section 120. A diagram showing an example of the structure of a neural network model that can be used by the calculation means 126 Flowchart showing an example of processing (processing 800) in the system 100 for linking the real world and the virtual world Flowchart showing an example of additional processing (processing 900) in the system 100 for linking the real world and the virtual world

Embodiments of the present invention will be described below with reference to the drawings.

1. A new user experience by linking the real world and the virtual world The inventor of the present invention has developed a new service that links the real world and the virtual world. This service links the real world and virtual world so that going to a specific area in the real world is a trigger for an action to be taken in the corresponding area in the virtual world. It is about providing an experience. Specifically, when the user goes to a specific area in the real world, the user can access the corresponding area in the virtual world, and the user can move to that area in the virtual world. Can perform associated actions. In this specification, "area" refers to a place with any area, for example, it may be one section of a building, one room of a building, or an entire floor of a building. It may be a building itself, a district, a city, ward, town or village, or a prefecture. The "area" in the real world may be, for example, a range in which a specific signal transmitting means (eg, a beacon) can transmit signals. In this specification, "linking the real world and the virtual world" means that some action in the real world has some kind of influence on the virtual world; It is not necessary for all actions in the virtual world to have an effect on the virtual world, and it is not necessary for actions in the virtual world to have an effect on the real world. "Linking the real world and the virtual world" typically means that when the user goes to a specific area in the real world, the user can access the corresponding area in the virtual world. It is to be.

For example, when a user goes to Shibuya in the real world, the user's avatar can now go to Shibuya in the virtual world. The user's avatar can shop and participate in events in the virtual world of Shibuya. For example, when a user goes to a hospital in the real world, the user's avatar can go to an insurance agent in the virtual world. The user's avatar can collect information on the medical insurance the user actually subscribes to and apply for insurance payment at an insurance agency in the virtual world. For example, when a user goes to a real-world location specified by an employer, the user's avatar can enter the virtual world's pay drop-off location. The user's avatar can receive wages at a wage delivery location in the virtual world. For example, when a user goes to their home in the real world, the user's avatar can go to their home in the virtual world. The user's avatar can reunite with the avatars of deceased family members or receive letters from family members in the virtual world's home.

The real world area and the corresponding virtual world area may have the same level for at least one parameter. In one example, an area in the real world and a corresponding area in the virtual world may have the same level of security. For example, an area of the virtual world that corresponds to a real-world server room can have a high level of security comparable to the real-world server room. In another example, an area in the real world and a corresponding area in the virtual world can have the same level of luxury. An area in the virtual world that corresponds to an upscale shopping district in the real world can have a sense of luxury comparable to the upscale shopping district in the real world. In another example, an area in the real world and a corresponding area in the virtual world may have the same level of land value. Land in virtual reality can be sold as NFTs (non-fungible tokens); for example, an area in the virtual world that corresponds to an upscale residential area in the real world may have a land area with a height comparable to that of an upscale residential area in the real world. It can have land value. In another example, an area in the real world and a corresponding area in the virtual world can have the same level of visitor demographics. For example, an area in the virtual world that corresponds to an opera venue in the real world may be visited by many opera fans, just like an opera venue in the real world.

FIG. 1A schematically shows an example of linking the real world and the virtual world.

FIG. 1A(a) shows the user U in the real world, and FIG. 1A(b) shows the virtual world displayed on the user U's smartphone 400.

In the example shown in FIG. 1A, when user U goes to Ginza A1 in the real world, he accesses Ginza A2 in the virtual world in the virtual world displayed on user U's smartphone 400 (for example, the user's avatar 11 It will be possible to enter Ginza A2 in the world). Here, you cannot enter Ginza A2 in the virtual world (the area surrounded by a broken line in FIG. 1A(b)) unless you visit Ginza A1 in the real world. Therefore, it can be said that all avatars in Ginza A2 in the virtual world are avatars of users who have visited Ginza A1 in the real world.

Ginza A2 in the virtual world can have the same level of land prices, luxury, or visitor demographics as Ginza A1 in the real world. For example, Ginza A2 in the virtual world has a sense of luxury similar to Ginza A1 in the real world, and there may be many high-class stores in Ginza A2 in the virtual world. Here, the store in the virtual world may be a store where electronic commerce (EC) can be performed, and products purchased at the store in the virtual world may also be provided to the user U in the real world. . For example, Ginza A2 in the virtual world has the same land price as Ginza A1 in the real world, and the land price of Ginza A2 in the virtual world (for example, the price of land in the virtual world sold as NFT) is different from that in the real world. Like Ginza A1, it can be very expensive. For example, Ginza A2 in the virtual world has the same visitor demographic as Ginza A1 in the real world, and more high-income people may visit Ginza A2 in the virtual world than low-income people.

By operating the user's avatar 11, the user U can, for example, shop at a store in Ginza A2 in the virtual world. For example, the product purchased in Ginza A2 in the virtual world may be provided to the user U in the real world, or may be usable only in virtual reality.

By operating the user's avatar 11, the user U can, for example, communicate with the avatars of other users visiting Ginza A2 in the virtual world. Communication can be, for example, a voice or text-based conversation, an exchange of items, an exchange of money, and the like.

By operating the user's avatar 11, the user U can, for example, participate in an event being held in Ginza A2 in the virtual world. Alternatively, the user U can obtain an item that can only be obtained in Ginza A2 in the virtual world, for example.

In this way, the user U can access the luxury shopping district in the virtual world by going to Ginza A1 in the real world, and there, via the user's avatar 11, can shop or attend events. You can also participate.

FIG. 1B schematically shows another example of linking the real world and the virtual world.

FIG. 1B(a) shows the user U in the real world, and FIG. 1B(b) shows the virtual world being displayed on the user U's smartphone 400.

In the example shown in FIG. 1B, when user U goes to server room A3 in the real world, in the virtual world displayed on user U's smartphone 400, he accesses secret room A4 in the virtual world (for example, the user's avatar 11 will be able to enter the secret room A4 in the virtual world). Here, the secret room A4 in the virtual world cannot be entered unless the user visits the server room A3 in the real world and a separate server room (not shown). The server room A3 and the separate server room are areas where only a specific authenticated person can enter, and therefore only a specific authenticated person can enter the secret room A4 in the virtual world. Therefore, it can be said that the avatar in the secret room A4 in the virtual world is the avatar of a person who has been authenticated in the real world. This also ensures that the specific authenticated person is indeed in the real-world server room.

In this way, the server room A4 in the virtual world can have the same security level as the server room A3 in the real world.

By operating the user's avatar 11, the user U can communicate with another user's avatar 12, for example, in the server room A4 of the virtual world. Communication can be, for example, a voice or text-based conversation, an exchange of items, an exchange of money, and the like. Since there are only avatars of authenticated specific people in the secret room A4, users can also exchange confidential information.

In this way, the user U can access a high security area in the virtual world by going to the server room A3 in the real world, and there, through the user's avatar 11, the user Able to communicate with people. A person accessing a high security area in a virtual world may be a person who is authenticated and guaranteed to be in a particular area of the real world. This can be used, for example, for high-level identity verification. For example, in addition to authentication using an ID and password, identity can be verified by ensuring that the user is in a specific area in the real world.

FIG. 1C schematically shows yet another example of linking the real world and the virtual world.

FIG. 1C(a) shows the user U in the real world, and FIG. 1C(b) shows the virtual world being displayed on the user U's smartphone 400.

In the example shown in FIG. 1C, when user U goes to hospital room A5 in the real world, in the virtual world displayed on user U's smartphone 400, he accesses insurance agent A6 in the virtual world (for example, user avatar 11 will be able to enter insurance agency A6 in the virtual world). Here, the insurance agent A6 in the virtual world cannot enter the hospital room A5 in the real world unless he visits the hospital room A5. Therefore, the avatar at the insurance agency A6 in the virtual world may be the avatar of a user who has visited hospital room A5 in the real world, or the avatar of a user who has been admitted to hospital room A5 in the real world.

Insurance agency A6 in the virtual world may have the same level in visitor demographics as corresponds to hospital room A5 in the real world. That is, the insurance agency A6 in the virtual world has the same visitor class as the hospital room A5 in the real world, and sick or injured patients may also visit the insurance agency A6 in the virtual world.

For example, the user U can collect information on medical insurance he/she has subscribed to in the real world at the insurance agency A6 in the virtual world. For example, the user U may collect medical insurance information by operating the avatar 11, or the avatar 11 may autonomously collect medical insurance information. The information on the medical insurance that the user has subscribed to may be, for example, information input in advance by the user U as a memorandum, or may be information provided by the insurance company. Even if User U forgets what kind of medical insurance he/she has subscribed to, he/she can collect insurance information in the virtual world, so he/she will be able to remember the details of the medical insurance he/she has subscribed to. can.

The user U can apply for insurance payment, for example, at the insurance agent A6 in the virtual world. For example, the user U may apply for insurance payment by operating the avatar 11, or the avatar 11 may autonomously apply for insurance payment.

In this way, the user U can obtain medical insurance information or apply for insurance payment in the virtual world using going to the hospital room A5 in the real world as a trigger. Thereby, user U does not need to separately collect medical insurance information or separately apply for insurance payment, and can avoid trouble.

The real world area and virtual world area described above are just examples, and the service of the present invention can be applied to any other area and any other situation.
(Last love letter)

For example, a letter addressed to user U by the spouse of user U is stored in the virtual world in advance. After the spouse dies, when user U enters the virtual world's home triggered by returning to the real world's home, the spouse's avatar appears at the virtual world's home, and the spouse's avatar is stored. You can give the user (or the user's avatar) the letter that they received. Alternatively, if user U's spouse has taken out death insurance for himself or herself, in a similar situation, the spouse's avatar appears at home in the virtual world, and the spouse's avatar receives the death benefit from the death insurance. Can be passed to the user (or user's avatar). Note that the death benefit may be in the form of virtual currency, electronic money, or the like.
(Digital time capsule)

For example, user U stores in advance a letter addressed to his future self and data (photos, audio, etc.) that he would like to keep in the virtual world. After a predetermined period of time (for example, several decades), the stored letter or data can be opened in the schoolyard in the virtual world, triggered by going to the schoolyard in the real world. With a physical type capsule in the real world, you may not be able to open the time capsule because you don't know where you buried it or another building has been built, but with a digital time capsule in the virtual world, there is no risk of it being lost. There is no risk of the package being opened by someone else without permission.
(ATM everywhere)

For example, when a sender sends money to user U, the sender specifies an area where the money can be received. When the user U authenticates his/her identity and goes to a designated area as a trigger, the user U can receive money in the corresponding area of the virtual world. Here, the money may be in the form of virtual currency or electronic money. As a result, user U can receive money by going to the area specified by the sender even in a place where there is no physical ATM.

The new service described above can be implemented, for example, by a system 100 for linking the real world and the virtual world, which will be described later.

2. Configuration of a system for linking the real world and the virtual world FIG. 2 shows an example of the configuration of a system 100 for linking the real world and the virtual world.

The system 100 is connected to a database section 200. The system 100 is also connected to at least one signal transmission means 300 , at least one user terminal 400 and at least one voter terminal 500 via a network 600 .

In addition, although three signal transmission means 300, two user terminal devices 400, and one voter terminal device 500 are shown in FIG. 2, the signal transmission means 300, the user terminal device 400, and the voter terminal device 500 The number is not limited to this. Any number of signaling means 300 , any number of user terminals 400 , and any number of voter terminals 500 may be connected to the system 100 via the network 600 . For example, if the user also serves as a voter, the voter terminal device 500 may be omitted.

Network 600 may be any type of network. Network 600 may be, for example, the Internet or a LAN. Network 600 may be a wired network or a wireless network.

System 100 is further connected to blockchain network 700. Blockchain network 700 is a network constructed using blockchain technology, and can be used to manage user information. By using blockchain technology, tampering with managed information can be easily detected, so it is virtually impossible to tamper with user information managed by blockchain network 700. Information managed by blockchain network 700 can be used to calculate scores representing user characteristics.

Although it has been described that user information is managed using blockchain technology, the present invention is not limited to using blockchain technology. Blockchain network 700 can be constructed using any technology as long as information can be managed in a manner that makes it virtually impossible to tamper with it.

For example, the system 100 may be a computer (for example, a server device) installed at a service provider that provides a service that provides an experience in a virtual world, and the user terminal device 400 is used by a user who uses the service. It can be a computer that does A voter is a stakeholder regarding the creation of a virtual world (for example, a person who has a governance token regarding management of the virtual world), and the voter terminal device 500 may be a computer used by the stakeholder.

Here, the computer (server device or terminal device) may be any type of computer. For example, the terminal device can be any type of terminal device, such as a smartphone, tablet, personal computer, smart glasses, smart watch, etc.

The signal transmitting means 300 may be any means capable of transmitting a signal, for example it may be a beacon. Each of the plurality of signal transmitting means 300 can transmit a unique signal, and the unique signal can be associated by the system 100 with the location at which the respective signal transmitting means 300 is installed. The system 100 analyzes data transmitted from the terminal device that has received the unique signal and identifies the location of the terminal device as the location where the signal transmitting means 300 is installed, thereby providing location information. can be obtained. The signal transmitting means 300 may be, for example, a GPS satellite.

The signal transmitting means 300 may be configured to transmit a signal having a variable ID over time. The ID is, for example, a UUID. Although the UUID is generally an unchanging ID, the signal transmitting means 300 can transmit a signal having a UUID that changes over time by changing at least a portion of the UUID over time. . For example, the ID of the signal transmitted by the signal transmitting means 300 can be controlled by the system 100. The system 100 can instruct the signal transmitting means 300 to rewrite the ID via the network 600. Since the ID of the signal transmitted from the signal transmitting means 300 is not unique to the signal transmitting means 300 but is managed and controlled by the system 100, falsification or spoofing of the signal from the signal transmitting means 300 by a third party is prevented. be able to. This leads to guaranteeing the location of the terminal device that has received the signal from the signal transmitting means 300.

The signal transmitting means 300 may further be configured to transmit a variable range signal. For example, the reach of the signals transmitted by the signal transmitting means 300 can be controlled by the system 100. The system 100 can instruct the signal transmission means 300 to change the range of the signal via the network 600. As a result, for example, the user cannot receive the signal unless the user approaches the signal transmitting means 300 (for example, the user cannot receive the signal unless the user enters one part of the room), or A user may be able to receive a signal even at a distance (eg, enter a building and receive a signal). The range of the first area within which the signal transmitting means 300 can transmit signals can be freely changed.

The database unit 200 can store various information for providing a user experience in a virtual world. The database unit 200 can store various types of information used to calculate scores representing user characteristics. The database unit 200 may store information indicating matters determined by the system 100.

FIG. 3 shows an example of a specific configuration of a system 100 for linking the real world and the virtual world.

The system 100 includes an interface section 110, a processor section 120, and a memory section.

The interface unit 110 exchanges information with the outside of the system 100. The processor unit 120 of the system 100 can receive information from outside the system 100 via the interface unit 110, and can send information to the outside of the system 100. The interface unit 110 can exchange information in any format.

The interface unit 110 includes, for example, an input unit that allows information to be input into the system 100. It does not matter in what manner the input unit allows information to be input into the system 100. For example, if the input unit is a receiver, the input may be performed by the receiver receiving information from outside the system 100 via a network. Alternatively, if the input unit is a data reading device, the information may be input by reading the information from a storage medium connected to the system 100.

The interface unit 110 includes, for example, an output unit that allows information to be output from the system 100. It does not matter in what manner the output unit allows information to be output from the system 100. For example, if the output unit is a transmitter, the transmitter may output the information by transmitting it to the outside of the system 100 via a network. Alternatively, if the output unit is a data writing device, the information may be output by writing the information to a storage medium connected to the system 100.

System 100 can send information to and/or receive information from database unit 200, for example, via interface unit 110. The system 100 can transmit information (for example, a control signal) to the signal transmitting means 300 via the interface unit 110, for example. The system 100 can transmit information to and/or receive information from the user terminal device 400 via the interface unit 110, for example. System 100 can transmit information to and/or receive information from voter terminal 500, for example, via interface 110.

System 100 can receive data and/or information regarding a user, for example, via interface unit 110. The system 100 can receive a user's visit history via the interface unit 110, for example. The system 100 can receive, for example, via the interface unit 110, votes for changing rules used in determining matters to be decided when an action is performed in the virtual world.

The processor unit 120 executes processing of the system 100 and controls the overall operation of the system 100. The processor unit 120 reads a program stored in the memory unit 130 and executes the program. This allows the system 100 to function as a system that executes desired steps. The processor unit 120 may be implemented by a single processor or by multiple processors.

The memory unit 130 stores programs required to execute the processing of the system 100, data required to execute the programs, and the like. The memory unit 130 stores a program for causing the processor unit 120 to perform processing for linking the real world and the virtual world (for example, a program for implementing the processing shown in FIGS. 8 and 9, which will be described later). Good too. Here, it does not matter how the program is stored in the memory unit 130. For example, the program may be preinstalled in the memory unit 130. Alternatively, the program may be installed in the memory unit 130 by being downloaded via a network. In this case, the type of network does not matter. Memory section 130 may be implemented by any storage means. Alternatively, the program may be stored in a computer-readable storage medium and installed in the memory unit 130 by reading the computer-readable storage medium.

The database unit 200 may store, for example, data and/or information regarding users.

Data regarding the user is objective information regarding the user. Data regarding a user may be private information known only to the user, or may be public information shared with a third party. Data regarding the user may be obtained, for example, from the user's terminal device and/or an IoT device capable of communicating with the user's terminal device. Data regarding the user may be obtained from anywhere on the network, for example. Data regarding the user may be recorded, for example, in a token stored in place on the network. Data related to the user may include, for example, the user's behavior history (e.g., exercise history, health activity history, purchase history, saving behavior history, meal history, web page browsing history, conversation history with an AI speaker, SNS usage history, etc.); This includes, but is not limited to, health information (for example, height, weight, blood pressure, heart rate, disease, etc.), information regarding DNA, insurance enrollment information, etc. The data regarding the user may include the user's personal information. Personal information includes, for example, at least one of name, address, telephone number, e-mail address, age, gender, family structure, occupation, annual income, assets, medical history, etc., but is not limited thereto.

Data regarding the user can be obtained from a payroll card, for example. A payroll card is a system that allows you to electronically receive wage payments from your employer. Payroll cards allow you to receive wage payments without using a bank account. Income information and expenditure information from wage payments can be recorded on the payroll card. Furthermore, information regarding work expenses may also be recorded on the payroll card. For example, the amount and name of expenses paid are recorded on the payroll card. Therefore, by acquiring data about the user from the payroll card, not only information about the user's private income and expenditures but also information about the user's work income and expenses can be used as data about the user.

Information regarding the user is subjective information based on the user. Information regarding the user may be private information known only to the user himself/herself, or may be public information shared with a third party. Information regarding the user may be obtained, for example, by the user directly inputting information into a terminal device. Information regarding the user may be derived indirectly from, for example, an interview or question to the user. Information about the user may be obtained from anywhere on the network, for example. Information about the user can be recorded, for example, in a token stored in place on the network. Information regarding the user includes, but is not limited to, hobbies, preferences, reasons for behavior (for example, motivation for applying for a current or past occupation, reason for changing jobs from a past occupation, etc.).

The database unit 200 may store a user's visit history including a user's history of visiting areas in the real world and/or a history of users' visiting areas in the virtual world. The visit history may be created, for example, based on location information transmitted from the user's terminal device. The visit history may be created, for example, based on information about areas where the user has performed actions in the virtual world. For example, the history of the user's visits to areas in the virtual world may be created based on real-world location information transmitted from the user's terminal device. This is possible because areas in the virtual world and areas in the real world correspond.

The database unit 200 may store the location where the signal transmitting means 300 is installed and the signal transmitted by the signal transmitting means 300 in association with each other. This database section 200 makes it possible to identify the position of the signal transmitting means 300 from the signal transmitted from the signal transmitting means 300. When the signal transmitted by the signal transmitting means 300 has an ID that is variable over time, the time information, the position where the signal transmitting means 300 is installed, and the signal transmitted by the signal transmitting means 300 are associated with each other. can be stored. Alternatively, the position where the signal transmitting means 300 is installed and the signal currently being transmitted by the signal transmitting means 300 may be stored in association with each other, and each time the ID of the signal transmitted by the signal transmitting means 300 is changed. , the association can be updated.

The database unit 200 stores, for example, various types of information used to calculate scores representing user characteristics.

Here, the user's characteristics may be a concept representing what kind of person the user is, that is, the user's personality. The user's characteristics can also represent the user's personality in terms of the user's personality. For example, a user's characteristics can represent the user's personality in terms of "personality." Additionally, the user's characteristics may represent the user's personality in terms of "money" and/or may represent the user's personality in terms of "health." Therefore, the score representing the user's characteristics can include a feature amount related to "personality", and/or a feature amount related to "money", and/or a feature amount related to "health". be able to. Preferably, the score representing the user's characteristics may be a multidimensional score including at least two of the following: a "personality" feature, a "money" feature, and a "health" feature. At this time, the multidimensional axis of the score can include a corresponding axis among the viewpoint axis related to "personality", the viewpoint axis related to "money", and the viewpoint axis related to "health". Here, "personality" is information indicating whether a person's personality and/or personality is reliable, and includes, for example, evaluations from others. "Money" is information about the person's money, and includes information such as annual income, assets, and whether the person is saving money. "Health" is information related to a person's health, and includes, for example, information on diseases, diet, activities for health, and the like.

For example, if a score representing a user's characteristics has an axis of viewpoints related to "personality", scores are given for multiple items related to "personality", and based on the scores for each of the multiple items, A person's personality will be expressed. For example, a person who is easily angry but has an honest personality will have a high score on the "honest person" item or a low score on the "liar" item among the "personality" items, and a low score on the "impatient" item. Either the item score is high or the item score related to "Patience" is low.

As another example, if the score representing the user's characteristics has an axis of viewpoints related to "money," scores are given for multiple items related to "money," and based on the scores for each of the multiple items, "money" is A person's personality will be expressed in terms of their personality. For example, a person who wastes a lot of money will have a high score for the item related to "thrift" or a low score for the item related to "spendthrift" among the items related to "money."

As another example, if the score representing the user's characteristics has an axis of viewpoints related to "health", scores are given for multiple items related to "health", and based on the scores of each of the multiple items, "health" A person's personality will be expressed in terms of their personality. For example, a person with an obese body type has a high score for an item related to "degree of obesity" or "BMI" among items related to "health."

These items are just examples, and each multidimensional axis can have any items. The more items each axis has, the more detailed the user's personality can be expressed from the viewpoint of that axis, but the amount of data increases accordingly. The fewer items each axis has, the smaller the amount of score data representing the user's characteristics becomes, making it easier to handle, but it also represents the user's personality more roughly. For example, a score representing a user's characteristics can be determined by specifying at least two of the multiple axes from a score expressed on multiple axes having a large number of items (a score representing the user's personality in detail). It may be a score derived by extracting the items (a score that roughly represents the user's personality).

For example, the database unit 200 may store concepts related to parameters used for calculating scores and various information in association with each other. Parameters used to calculate the score may include, for example, "personality", "money", and "health".

For example, regarding the parameter "personality", the database unit 200 may store a concept related to personality and various pieces of information in association with each other. For example, the concept of ``altruistic'' (or ``transpersonal'') related to ``personality'' includes keywords such as ``volunteer,''``donation,''``concern,''``consultation,'' ``participate in volunteer work frequently,'' Statuses such as "frequently consulted" and "have experience in donating" may be stored in association with each other. For example, the concept of "SDGs" (Sustainable Development Goals) related to "personality" includes keywords related to the 17 goals and/or 169 targets (e.g., "equality", "environmental status, etc.), “taking actions related to 17 goals and/or 169 targets”, “holding ideas related to 17 goals and/or 169 targets”, etc. can be stored.

For example, regarding the parameter "money", the database unit 200 may store a concept related to money and various information in association with each other. For example, the concept of "rich" (or "cash flow rich") related to "money" is stored in association with keywords such as "Harvard University" and "MBA", statuses such as "annual income of 20 million yen or more", etc. can be done. For example, the concept of "rich" (or "stock rich") related to "money" may be stored in association with keywords such as "landowner" and "shareholder" and status such as "assets of 100 million yen or more." .

For example, regarding the parameter "health", the database unit 200 may store a health-related concept and various information in association with each other. For example, the concept of "excellent body" (or "physical health") related to "health" is stored in association with keywords such as "non-smoking" and "normal blood pressure" and statuses such as "BMI 18-27". obtain. For example, the concept of ``mindfulness'' (or ``mental health'') related to ``health'' includes keywords such as ``rewarding,'' ``stressless,'' ``stress check results are below a predetermined value,'' and ``a sense of coherence.'' A status such as "(SOC: Sense of coherence) is high" may be stored in association.

FIG. 4A is a conceptual diagram showing an example of association of information stored in the database unit 200.

In the example shown in FIG. 4A, keywords such as "Harvard University," "Stanford University," "MBA," "doctor," and "manager" are associated with the concept of "rich people" related to money. ing. Further, other keywords (for example, "business school", "practitioner", "listed company", etc.) are associated with these keywords. Furthermore, further keywords may be associated with these keywords.

Such an association can be made using, for example, artificial intelligence (AI) capable of performing a semantic search, that is, artificial intelligence that has learned the correlation between keywords.

This artificial intelligence learns the correlation between keywords from large amounts of text. For example, this artificial intelligence extracts multiple keywords within a sentence by parsing the sentence, and specifies the relationship between the multiple keywords within the sentence. For example, if a certain keyword is used in conjunction with another certain keyword in many sentences, this artificial intelligence learns that these keywords have a strong correlation. The artificial intelligence that has learned the correlation between keywords in this way can output a keyword that correlates with the input keyword based on the learned correlation.

For example, if you input the keyword "rich" to an artificial intelligence that has learned the correlation between keywords, it will find keywords that correlate with "rich" such as "Harvard University," "Stanford University," "MBA," and "Doctor." , "Manager", etc. may be output. For example, if you input the keywords "rich" and "doctor" into an artificial intelligence that has learned the correlation between keywords, it will generate keywords that are correlated with "rich" and "doctor" such as "practitioner" and "director." can be output.

In this manner, the database unit 200 may store keywords input to the artificial intelligence that has learned the correlation between keywords and output keywords in association with each other.

FIG. 4B is a conceptual diagram showing another example of association of information stored in the database unit 200.

In the example shown in FIG. 4B, keywords such as "volunteer", "donation", "consideration", and "consultation" are associated with the concept of "altruistic" related to personality. Furthermore, other keywords (for example, "worry", "tension", "polite", etc.) are associated with these keywords. Furthermore, further keywords may be associated with these keywords.

Such an association can be made using artificial intelligence (AI) capable of performing a semantic search, that is, artificial intelligence that has learned the correlation between keywords, as described above.

For example, if you input the keyword "altruistic" to an artificial intelligence that has learned the correlation between keywords, it will find keywords that correlate with "altruistic" such as "volunteer," "donation," "concern," and "consultation." can be output. For example, if you input the keywords "altruistic" and "considerate" to an artificial intelligence that has learned the correlation between keywords, it may output keywords such as "polite" that are correlated with "altruistic" and "considerate." .

In this manner, the database unit 200 may store keywords input to the artificial intelligence that has learned the correlation between keywords and output keywords in association with each other.

The database unit 200 may store each content (i.e., value) of an item (i.e., parameter) to be determined when a user performs an action, a score, and an area in association with each other. In addition, rules regarding actions may also be stored in the database unit 200 in association with the contents of matters to be determined when a user performs an action.

In the examples shown in FIGS. 2 and 3, the database unit 200 is provided outside the system 100, but the present invention is not limited thereto. It is also possible to provide at least a portion of the database unit 200 inside the system 100. At this time, at least a part of the database unit 200 may be implemented by the same storage unit as the storage unit that implements the memory unit 130, or may be implemented by a storage unit that is different from the storage unit that implements the memory unit 130. It's okay. In any case, at least a portion of the database unit 200 is configured as a storage unit for the system 100. The configuration of the database unit 200 is not limited to a specific hardware configuration. For example, the database unit 200 may be composed of a single hardware component or a plurality of hardware components. For example, the database unit 200 may be configured as an external hard disk device of the system 100, may be configured as a cloud storage connected via a network, or may be configured as a distributed storage system using blockchain technology or the like. It may also be configured as a network.

For example, data and/or information regarding the user is stored in the database section 200 configured as a distributed network using blockchain technology or the like, and at this time, the data and/or information regarding the user is substantially protected from tampering. It becomes possible. This ensures the reliability of data and/or information regarding the user. Note that tampering is virtually impossible means that even if tampering occurs, it is easily detectable. At this time, the database unit 700 may be omitted.

FIG. 5 shows an example of the configuration of the processor section 120.

The processor section 120 may include a position information acquisition means 121, a determination means 122, and an access enabling means 123.

The position information acquisition means 121 is configured to acquire position information indicating the user's current position in the real world. The location information acquisition unit 121 can acquire location information indicating the current location of the user in the real world based on a signal received from the user terminal device 400 via the interface unit 110. Here, the position information may be two-dimensional information in the latitude direction and longitude direction, or three-dimensional information in the latitude direction, longitude direction, and height direction. Preferably, the position information may be three-dimensional information including position information in the height direction. This is because more detailed location information of the user can be obtained. For example, with 3D location information, it is possible to identify not only your two-dimensional location, but also which floor of the building you are in, which room in the building you are in, which section of which room in the building you are in, etc. .

The user terminal device 400 can receive a signal transmitted from the signal transmitting means 300 installed in the real world, and the position information acquisition means 121 can receive the signal transmitted from the signal transmitting means 300 installed in the real world. A received signal may be received from 400 from a user terminal. Then, the position information acquisition means 121 can identify the position where the signal transmission means 300 is installed based on the received signal. The position information acquisition means 121 can identify the position where the signal transmission means 300 is installed, for example, by referring to the association between the position of the signal transmission means 300 and the signal stored in the database section 200. Thereby, the location where the identified signal transmitting means 300 is installed can be considered to be the user's current location.

As described above, if the signal transmitting means 300 is capable of transmitting a signal having an ID that changes over time, the positional information acquired by the positional information acquiring means 121 indicates that the user was indeed at that location. This can be information that guarantees that This is because the signal transmitted from the signal transmitting means 300 is prevented from being tampered with or spoofed by a third party, making it a highly reliable signal.

The determination means 122 is configured to determine whether the current position indicated by the position information acquired by the position information acquisition means 121 is in a first area in the real world. The determining means 122, for example, specifies the range covered by the first area, and determines whether the current position indicated by the position information acquired by the position information acquisition means 121 is included in the range.

When the determining means 122 determines that the user's current position is in the first area, the access enabling means 123 is activated for the first area, and the user's current position is in the first area. If it is not determined that the access enabling means 123 is not activated for the first area.

The access enabling means 123 allows the user to access the second area in the virtual world when the determining means 122 determines that the current location indicated by the location information is in the first area. It is configured. Here, enabling the user to access the second area means changing from a state where the user cannot access the second area to a state where the user can access the second area. means. This allows the user to access and interact with the second area.

Processor portion 120 may have a configuration for allowing a user to interact with the second area. This configuration can be realized using techniques known in the field of virtual reality.

The second area has the same level for at least one parameter as the first area. Thereby, the second area of the virtual world can become an area corresponding to the first area of the real world. The at least one parameter includes at least one of security level, land price, luxury, and visitor class. Here, the security level can be an indicator of how easy it is to infiltrate the area; the more difficult it is for intrusion from the outside (for example, physical intrusion, unauthorized access, or cyber attack), the higher the security level. Become. The land price can be an index representing the value of land in the area; in the real world, it represents the value of land as real estate, and in the virtual world, it represents the value of NFT of land. Luxury can be an index representing the impression of the class that general consumers feel about the area, and can be based on common sense. Visitor demographics can be an indicator of characteristics possessed by the majority of people visiting the area.

For example, by accessing the second area, the user can cause the user's avatar to enter the second area. This allows the user's avatar to perform actions in the second area of the virtual world. For example, as described above with reference to FIG. 1A, the user may manipulate the user's avatar 11 to shop in the second area.

For example, by accessing the second area, the user can communicate with other users in the second area. For example, as described above with reference to FIG. 1B, a user may manipulate their avatar 11 to communicate with another user's avatar 12 in a second area.

For example, by accessing the second area, the user can receive money in the second area. For example, the processor unit 120 may determine the amount of money that the user should receive in the second area and cause the determined amount of money to be provided to the user. The money that the user should receive may be, for example, an insurance benefit paid by the insurance that the user has subscribed to, or an insurance that the user is the beneficiary of (for example, a spouse's death benefit). Good too. The money to be received by the user may be, for example, money remitted from another user or salary paid by the employer.

For example, by accessing the second area, the user can have a letter delivered in the second area. The user or the user's avatar can, for example, receive a letter that has been previously stored in the database unit 200 of the system 100. The letter may be, for example, a letter that was stored in the database section 200 of the system 100 by the deceased before he or she was alive, thereby allowing the user to receive a letter from the deceased.

For example, by accessing the second area, the user can receive information in the second area. For example, the user or the user's avatar can be provided with information previously stored in the database unit 200 of the system 100. The information may be, for example, the user's personal information, preferably information that the user tends to forget, and more preferably information regarding the user's medical insurance. The information may be, for example, a letter addressed to one's future self or data (eg, images, sounds).

For example, by accessing the second area, the user can participate in an event in the second area. For example, as described above with reference to FIG. 1A, the user will be able to manipulate the user's avatar 11 to participate in an event in the second area.

Examples of user interaction in the second area are not limited to those described above, and may include other aspects. The interaction may be something that the user does actively or passively.

In this way, by allowing the user to access the second area in the virtual world when the user goes to the first area in the real world as a trigger, a new user experience is provided to the user. I can do it.

FIG. 6A shows an example of an additional configuration of the processor unit 120. In addition to the configuration described above with reference to FIG. 5, the processor unit 120 can have the configuration shown in FIG. 6A.

The processor section 120 includes a first acquisition means 124 , a second acquisition means 125 , a calculation means 126 , and a determination means 127 .

The first acquisition means 124 are configured to acquire data and/or information regarding the user.

The first acquisition unit 124 may acquire data and/or information regarding the user stored in the database unit 200, for example, via the interface unit 110. Alternatively, the first acquisition means 124 may acquire data and/or information regarding the user received from the user terminal device 400 via the interface unit 110, for example.

The acquired data and/or information regarding the user is passed to the calculation means 126.

The second acquisition means 125 is configured to acquire the user's past visit history. The user's past visit history includes a history of the user visiting areas in the real world and/or a history of the user visiting areas in the virtual world, and preferably includes a history of the user visiting areas in the real world and a history of the user visiting areas in the virtual world. It includes both the history of visiting areas in the virtual world.

The second acquisition means 125 may acquire the user's past visit history stored in the database unit 200, for example, via the interface unit 110. Alternatively, the second acquisition means 125 may acquire the user's past visit history received from the user terminal device 400 via the interface unit 110, for example.

The acquired user's past visit history is passed to the calculation means 126.

The calculation means 126 is configured to calculate a score representing the user's characteristics based on the acquired data and/or information regarding the user and the visit history.

The user's characteristics may be a concept representing what kind of person the user is, that is, the user's personality. The user's characteristics can also represent the user's personality in terms of the user's personality. For example, a user's characteristics can represent the user's personality in terms of "personality." In addition to this, the user's characteristics can represent the user's personality in terms of "money" and/or can represent the user's personality in terms of "health." Therefore, the score representing the user's characteristics can include one of the following: a feature related to "money," a feature related to "health," and a feature related to "personality." The score may be a multidimensional score that additionally includes at least one of a feature amount, a feature amount related to "health," and a feature amount related to "personality." Although the term "digital twin" is well known, a score that multidimensionally represents a user's characteristics can also be said to be a score that represents the user's digital twin. The score calculated by the calculating means 126 is based on the user's visit history, that is, which areas in the real world the user has visited and/or which areas in the virtual world the user has visited. The score can reflect the Since a person's visit history tends to reflect the person's characteristics, the score calculated by the calculation means 126 can more accurately capture the user's characteristics.

The multidimensional axes of scores representing user characteristics can include, for example, an axis of viewpoints related to "personality," an axis of viewpoints related to "money," and/or an axis of viewpoints related to "health."

The calculation means 126 can calculate the score, for example, depending on the degree to which the data and/or information regarding the user and the visit history are correlated with the parameters used to calculate the score. For example, the calculation means 126 refers to the database unit 200 that stores various information correlated with concepts related to parameters used in score calculation, and determines whether data and/or information regarding the user and visit history are used in score calculation. Determine the degree to which it correlates with the concept of the parameter being used. Data and/or information regarding the user may include, for example, information regarding "personality", "money", and "health". Further, the user's visit history may be associated with information regarding "personality", "money", and "health". For example, the calculating means 126 calculates various information that correlates with a corresponding concept among personality-related concepts, money-related concepts, and health-related concepts, regarding at least one of personality-related information, money-related information, and health-related information. By referring to the stored database unit 200, it is possible to calculate a score including a feature amount corresponding to a specific concept among the corresponding concepts, depending on the degree of correlation with the corresponding concepts.

The calculation means 126 can, for example, determine the degree to which data and/or information regarding the user and the visit history are correlated with the concept regarding "personality", and calculate a score according to the determined degree of correlation. For example, if the data and/or information regarding the user and the visit history are highly correlated with a specific concept among the concepts related to "personality", the calculation means 126 includes the feature amount corresponding to the concept in the score or It is possible to increase the score of the item corresponding to the item. For example, the more data and/or information about the user and the visit history are correlated with "altruism" (or "transpersonal"), the more or more features corresponding to "altruism" will be included in the score. It is possible to increase the score of the item corresponding to "altruism". For example, the more data and/or information about the user and the visit history are correlated with "resistance to pressure", the more or more feature values corresponding to "intensity of pressure" are included in the score, or the more features corresponding to "intensity of pressure" are included in the score, It is possible to increase the score of the item corresponding to "Sa".

The calculation means 126 can, for example, determine the degree to which the data and/or information regarding the user and the visit history are correlated with the concept related to "money", and calculate a score according to the determined degree of correlation. For example, if the data and/or information regarding the user and the visit history are highly correlated with a specific concept among the concepts related to "money," the calculation means 126 may include the feature amount corresponding to the concept in the score or It is possible to increase the score of the item corresponding to the item. For example, the more data and/or information about the user and the visit history are correlated with "cash flow rich", the more or more feature quantities corresponding to "cash flow rich" are included in the score, or the more "cash flow rich" It is possible to increase the score of items corresponding to the concepts of For example, the more data and/or information about the user and the visit history are correlated with "stock richness", the more or more features corresponding to "stock richness" will be included in the score or the concept of "stock richness" will be included. It is possible to increase the score of the corresponding item.

The calculation means 126 can, for example, determine the degree to which the data and/or information regarding the user and the visit history are correlated with the concept related to "health", and calculate a score according to the determined degree of correlation. For example, if the data and/or information regarding the user and the visit history are highly correlated with a specific concept among the concepts related to "health", the calculation means 126 may include the feature amount corresponding to the concept in the score or It is possible to increase the score of the item corresponding to the item. For example, the more data and/or information about the user and the visit history are correlated with "excellent body" (or "physical health"), the more or more features corresponding to "excellent body" are included in the score. Alternatively, it is possible to increase the score of items corresponding to the concept of "excellent body". For example, the more data and/or information about the user and the visit history are correlated with "mindfulness" (or "mental health"), the more features corresponding to "mindfulness" (or "mental health") A greater or stronger amount can be included in the score or items corresponding to the concept of "mindfulness" can be scored higher.

In one embodiment, the calculation means 126 uses, for example, a machine learning model that has learned the relationship between data and/or information regarding the plurality of users, visit history, and scores representing the characteristics of the plurality of users to determine the user's characteristics. It is possible to calculate a score that multidimensionally represents the Data and/or information regarding the user may include, for example, information regarding "personality", "money", and "health".

A machine learning model can be constructed using any machine learning model. The machine learning model may be, for example, a neural network model.

FIG. 7 shows an example of the structure of a neural network model that can be used by the calculation means 126.

A neural network model has an input layer, at least one hidden layer, and an output layer. The number of nodes in the input layer of the neural network model corresponds to the number of dimensions of the input data and/or information regarding the first user and the visit history. The hidden layers of a neural network model can include any number of nodes. The number of nodes in the output layer of the neural network model corresponds to the number of dimensions of output data. For example, when outputting a score representing a user's characteristics, the number of nodes in the output layer may be one.

The neural network model is trained in advance using the data and/or information regarding the plurality of users acquired by the first acquisition means 124 and the visit history of the plurality of users acquired by the second acquisition means 125. obtain. The learning process uses data and/or information regarding a plurality of users acquired in advance by the first acquisition means 124 and the visit history of a plurality of users acquired in advance by the second acquisition means 125 to create a neural network model. This process calculates the weighting coefficient of each node in the hidden layer.

The learning process is, for example, supervised learning. In supervised learning, for example, data and/or information about the user and visit history are used as input training data, and scores representing the user's characteristics are used as output training data, and information on multiple users is used to create a neural network model. By calculating the weighting coefficients of each node of the hidden layer of , it is possible to build a machine learning model that is able to correlate data and/or information about the user and visit history with scores representing the user's characteristics. .

For example, a set of (input supervised data, output supervised data) for supervised learning is ((data and/or information regarding user 1, visit history of user 1), score representing characteristics of user 1), ((data and/or information about user 2, visit history of user 2), score representing characteristics of user 2), ... ((data and/or information about user i, visit history of user i), user i ), etc. When data and/or information regarding the user newly obtained from the user and the visit history are input to the input layer of such a trained neural network model, a score representing the user's characteristics is output to the output layer.

In supervised learning, for example, the degree to which data and/or information regarding a user correlates with a parameter used to calculate a score may be used as input supervised data.

The calculated score is passed to the determining means 127.

Referring again to FIG. 6A. The determining means 127 is configured to determine matters to be determined when performing an action in the second area, based on the score calculated by the calculating means 126. For example, the determining means 127 refers to the database unit 200 and specifies the content associated with the score calculated by the calculating means 126, and determines the matters to be determined when the user performs an action in the second area. It can be determined that the content is For example, each of the contents (i.e., values) of matters (i.e., parameters) to be determined when the user performs an action in the second area is stored in the database unit 200 in association with a score, and By referring to the association, the means 127 can determine matters to be determined when the user performs an action in the second area.

For example, the determining means 127 can determine matters to be determined when the user performs an action in the second area, based on the feature amount derived from the score. For example, each of the contents (i.e., values) of the matters (i.e., parameters) to be determined when the user performs an action in the second area is stored in the database unit 200 in association with the feature amount derived from the score. By referring to the association, the determining means 127 can determine the matters to be determined when the user performs an action in the second area. The determining means 127 can derive a specific feature amount from the score using any method. In one example, the determining means 127 can extract a specific feature amount from the feature amounts included in the score. Here, extracting a feature amount means extracting the feature amount as it is without changing the value of the feature amount. In another example, the determining means 127 can derive a specific feature amount by applying a specific function to the score. Here, the specific function may be any function. For example, the particular function may be a hash function. For example, the determining means 127 can derive the feature amount by applying a function depending on the second area (that is, a function depending on the feature of the virtual reality area) to the score. For example, the determining means 127 can derive the feature amount using a machine learning model that has learned the relationship between the score and the derived feature amount.

For example, the determining means 127 can determine whether the user is in the second area by substituting the score or the feature amount derived from the score into an equation for determining matters to be determined when the user performs an action. can decide what should be decided when taking an action.

In one embodiment, the determining means 127 may determine what should be determined when the user performs an action, based on the score and rules regarding the action. This is useful, for example, when the score alone cannot uniquely determine what should be decided when taking an action in the second area. Even when it is not possible to uniquely determine the matters to be decided when taking an action in the second area based on the score alone, the action can be taken in the second area by also considering the rules regarding the action. This is because it may be possible to uniquely determine matters that should be determined at a particular time.

For example, the determining means 127 refers to the database unit 200, specifies the content associated with the score calculated by the calculating means 126, and the rules regarding the action, and determines the contents to be determined when performing the action in the second area. It is possible to determine that what should be said is the content of the matter. Alternatively, the determining means 127 can determine the matters to be determined when performing the action in the second area by narrowing down the content specified based on the score according to the rules regarding the action. Alternatively, the determining means 127 can determine the matters to be determined when performing the action in the second area by adjusting the content specified based on the score according to the rules regarding the action.

For example, the determining means 127 can determine matters to be determined when placing an advertisement in the second area. The matter to be determined when placing an advertisement in the second area may be the advertisement to be provided to the user. For example, the determining means 127 can determine the advertisement to be provided to the user based on the score representing the user's characteristics, or based on the score representing the user's characteristics and rules regarding advertisements.

The score representing the user's characteristics reflects the user's visit history in addition to the user's preferences and health information.Based on this score, the advertisements to be provided to the user can be determined. , it becomes possible to provide advertisements suitable for users.

FIG. 6B shows another example of an additional configuration of the processor section 120. In addition to the configuration described above with reference to FIG. 5, the processor unit 120 can have the configuration shown in FIG. 6B. The configuration shown in FIG. 6B differs from the configuration shown in FIG. 6A in that it further includes changing means 128, but the other configurations may be the same.

The processor section 120 includes a first acquisition means 124, a second acquisition means 125, a calculation means 126, a determination means 127, and a change means 128. The first acquisition means 124, the second acquisition means 125, and the calculation means 126 have the same configuration as that described above with reference to FIG. 6A, and the description thereof will be omitted here.

The changing means 128 is configured to be able to change rules regarding actions.

For example, the changing means 128 can change the rules in response to an external request. For example, the changing means 128 can receive votes from outside the system 100 via the interface unit 110 and change the rules based on the voting results. Voters have voting rights (eg, governance tokens). The voter may be, for example, a user or a person other than the user. For example, voters will have voting rights according to the amount of governance tokens they have. Therefore, a voter who has many governance tokens will have many voting rights and may have an advantage in voting. Governance tokens may be issued by system 100.

For example, the changing means 128 can present at least one rule change candidate to the voter terminal device 500 via the interface unit 110. The changing unit 128 can receive votes for at least one rule change candidate from the voter terminal device 500 via the interface unit 110. As a result of counting the votes, if there is a majority in favor of changing at least one rule change candidate, that rule change candidate is adopted and the current rules are changed. Alternatively, the rule change candidate that has obtained the highest number of votes among the plurality of rule change candidates is adopted, and the current rules are changed.

Voting by voters with governance tokens may be performed using techniques known in the art. For example, this can be done using blockchain technology.

For example, the changing means 128 can change the rules independently of external requests. For example, the changing unit 128 can change the rule when a predetermined condition is met (for example, when at least one of a predetermined time, a predetermined elapsed time, and a predetermined number of user registrations is met). can. The changing means 128 may, for example, change the current rule to a predetermined rule, or may change the current rule to a rule according to the extent to which a predetermined condition is satisfied.

When the rules are changed by the changing means 128, the deciding means 127 decides what should be decided when taking an action in the second area based on the score and the changed rules.

In this manner, the rules regarding the action are changed through the processing by the processor unit 120, and the matters to be determined when performing the action in the second area are determined in accordance with the changed rules. As a result, the matters to be decided when performing an action in the second area are not fixed, and the matters to be determined when performing an action in the second area may be changed according to trends, It can be changed according to the actual situation of the world. This can contribute to the development of a virtual space or metaverse.

In the examples shown in FIGS. 5, 6A, and 6B described above, each component of the processor section 120 is provided within the same processor section 120, but the present invention is not limited thereto. A configuration in which each component of the processor unit 120 is distributed among multiple processor units is also within the scope of the present invention. In this case, the plurality of processor units may be located in the same hardware component, or may be located in separate nearby or remote hardware components.

Note that each component of the system 100 described above may be composed of a single hardware component or may be composed of a plurality of hardware components. When configured with a plurality of hardware components, it does not matter how each hardware component is connected. Each hardware component may be connected wirelessly or by wire. The system 100 of the present invention is not limited to any particular hardware configuration. It is also within the scope of the present invention to configure the processor section 120 with an analog circuit rather than a digital circuit. The configuration of the system 100 of the present invention is not limited to that described above as long as its functions can be realized.

3. Processing in the system for linking the real world and the virtual world FIG. 8 shows an example of the processing (processing 800) in the system 100 for linking the real world and the virtual world. Process 800 is performed in processor unit 120 of system 100. Processing 800 is performed, for example, when user terminal device 400 receives a signal from signal transmitting means 300 installed in the real world, transmits the received signal to system 100, and system 100 receives the signal. be able to.

In step S801, the location information acquisition unit 121 of the processor unit 120 acquires location information indicating the user's current location in the real world. The location information acquisition unit 121 can acquire location information indicating the current location of the user in the real world based on a signal received from the user terminal device 400 via the interface unit 110.

In step S801, the position information acquisition means 121 receives a signal from the user terminal device 400, which the user terminal device 400 has received from the signal transmitting means 300 installed in the real world, and transmits a signal based on the signal. identifying the location where the means 300 is installed. For example, the position information acquisition means 121 identifies the position where the signal transmission means 300 is installed by referring to the association between the position of the signal transmission means 300 and the signal stored in the database section 200, and thereby, Location information can be obtained.

As described above, if the signal transmitting means 300 is capable of transmitting a signal having an ID that changes over time, the positional information acquired by the positional information acquiring means 121 indicates that the user was indeed at that location. This can be information that guarantees that This is because the signal transmitted from the signal transmitting means 300 is prevented from being tampered with or spoofed by a third party, making it a highly reliable signal.

In step S802, the determining means 122 of the processor unit 120 determines whether the current position indicated by the position information acquired in step S801 is in the first area of the real world. If it is determined that the current position is in the first area of the real world, the process advances to step S803. If it is determined that the current position is not in the first area of the real world, the process 800 ends. Then, for example, when the user terminal device 400 receives a signal from another signal transmitting means 300 installed in the real world and transmits it to the system 100, and the system 100 receives the signal, the process 800 starts from step S801 again. It will be done.

In step S803, the access enabling means 123 of the processor unit 120 allows the user to access the second area in the possible world. This allows the user to access a second area in the virtual world.

For example, when the user accesses the second area, the processor unit 120 can cause the user's avatar to enter the second area. This may be performed, for example, in response to the user's operation, or may be performed independently of the user's operation. By entering the second area of the virtual world, the user's avatar can perform actions in the second area. For example, as described above with reference to FIG. 1A, the user may manipulate the user's avatar 11 to shop in the second area.

For example, when the user accesses the second area, the processor unit 120 can cause the user to communicate with other users in the second area. For example, as described above with reference to FIG. 1B, a user may be able to manipulate their avatar 11 to communicate with another user's avatar 12 in a second area.

For example, when the user accesses the second area, the processor unit 120 can provide money to the user in the second area. For example, the processor unit 120 can determine the amount of money that the user should receive in the second area, and provide the determined amount of money to the user. The money that the user should receive may be, for example, an insurance benefit paid by the insurance that the user has subscribed to, or an insurance that the user is the beneficiary of (for example, a spouse's death benefit). Good too. The money that the user should receive may be, for example, money remitted from another user or salary paid by the employer.

For example, a user's access to the second area may cause the processor unit 120 to deliver a letter to the user in the second area. The user or the user's avatar can, for example, receive a letter that has been previously stored in the database unit 200 of the system 100. The letter may be, for example, a letter that was stored in the database section 200 of the system 100 by the deceased before he or she was alive, thereby allowing the user to receive a letter from the deceased.

For example, when the user accesses the second area, the processor unit 120 can provide information to the user in the second area. For example, the user or the user's avatar can be provided with information previously stored in the database unit 200 of the system 100. The information may be, for example, the user's personal information, preferably information that the user tends to forget, and more preferably information regarding the user's medical insurance. The information may be, for example, a letter or an image addressed to one's future self.

For example, when the user accesses the second area, the processor unit 120 can allow the user to participate in an event in the second area. For example, as described above with reference to FIG. 1A, the user will be able to manipulate the user's avatar 11 to participate in an event in the second area.

Examples of user interaction in the second area are not limited to those described above, and may include other aspects. The interaction may be something that the user does actively or passively.

In this way, a new user experience can be provided by allowing the user to access the second area in the virtual world using the user's visit to the first area in the real world as a trigger. . Furthermore, users who can access the second area can be limited to users who have visited the first area in the real world.

FIG. 9 shows an example of an additional process (process 900) in the system 100 for linking the real world and the virtual world. Process 900 is performed in processor unit 120 of system 100. Process 900 may be performed before process 800, after process 800, or simultaneously with process 800.

In step S901, the first acquisition means 124 of the processor unit 120 acquires data and/or information regarding the user.

The first acquisition unit 124 may acquire data and/or information regarding the user stored in the database unit 200, for example, via the interface unit 110. Alternatively, the first acquisition means 124 may acquire data and/or information regarding the user received from the user terminal device 400 via the interface unit 110, for example. Alternatively, the first acquisition means 124 may acquire data and/or information about the user from a given location on the network. The first acquisition means 124 can acquire data regarding the user from a payroll card owned by the user (or a server device that manages the payroll card), for example. The acquired data and/or information regarding the user is passed to the calculation means 126.

In step S902, the second acquisition means 125 of the processor unit 120 acquires the user's past visit history. The user's past visit history includes a history of the user visiting areas in the real world and/or a history of the user visiting areas in the virtual world, and preferably includes a history of the user visiting areas in the real world and a history of the user visiting areas in the virtual world. It includes both the history of visiting areas in the virtual world.

The second acquisition means 125 may acquire the user's past visit history stored in the database unit 200, for example, via the interface unit 110. Alternatively, the second acquisition means 125 may acquire the user's past visit history received from the user terminal device 400 via the interface unit 110, for example. The acquired user's past visit history is passed to the calculation means 126.

In step S903, the calculation means 126 of the processor unit 120 calculates a score representing the user's characteristics based on the data and/or information regarding the user acquired in step S901 and the visit history acquired in step S902. .

The calculation means 126 can calculate the score, for example, depending on the degree to which the data and/or information regarding the user and the visit history are correlated with the parameters used to calculate the score. For example, the calculation means 126 refers to the database unit 200 that stores various information correlated with concepts related to parameters used in score calculation, and determines whether data and/or information regarding the user and visit history are used in score calculation. Determine the degree to which it correlates with the concept of the parameter being used. Data and/or information regarding the user may include, for example, information regarding "personality", "money", and "health". For example, the calculating means 126 calculates various information that correlates with a corresponding concept among personality-related concepts, money-related concepts, and health-related concepts, regarding at least one of personality-related information, money-related information, and health-related information. By referring to the stored database unit 200, it is possible to calculate a score including a feature amount corresponding to a specific concept among the corresponding concepts, depending on the degree of correlation with the corresponding concepts.

The calculation means 126 can, for example, determine the degree to which the data and/or information regarding the user and the visit history are correlated with the concept regarding "personality", and calculate a score according to the determined degree of correlation. The calculation means 126 can, for example, determine the degree to which the data and/or information regarding the user and the visit history are correlated with the concept related to "money", and calculate a score according to the determined degree of correlation. The calculation means 126 can, for example, determine the degree to which the data and/or information regarding the user and the visit history are correlated with the concept related to "health", and calculate a score according to the determined degree of correlation.

The calculation means 122 may calculate a score that multidimensionally represents the user's characteristics by using, for example, a machine learning model that has learned data and/or information regarding a plurality of users and the relationship between the visit history and the score. can. Data and/or information regarding the user may include, for example, information regarding "personality", "money", and "health".

For example, when the data and/or information regarding the user acquired in step S901 and the user's visit history acquired in step S902 are input into a machine learning model, the user's score can be output.

In step S904, the determining means 127 of the processor unit 120 determines matters to be determined when performing an action in the second area, based on the score calculated in step S903. For example, the determining means 127 refers to the database unit 200, identifies the content associated with the score calculated in step S903, and determines the content to be determined when performing an action in the second area. can be determined.

For example, the determining means 127 can determine matters to be determined when performing an action in the second area based on the feature amount derived from the score. For example, each of the contents (i.e., values) of the matters (i.e., parameters) to be determined when performing an action in the second area is stored in the database unit 200 in association with the feature amount derived from the score. By referring to the association, the determining means 127 can determine matters to be determined when taking action in the second area. The determining means 127 can derive a specific feature amount from the score using any method. In one example, the determining means 127 can extract a specific feature amount from the feature amounts included in the score. Here, extracting a feature amount means extracting the feature amount as it is without changing the value of the feature amount. In another example, the determining means 127 can derive a specific feature amount by applying a specific function to the score. Here, the specific function may be any function. For example, the particular function may be a hash function. For example, the determining means 127 can derive the feature amount by applying a function depending on the second area (that is, a function depending on the feature of the virtual reality area) to the score. For example, the determining means 127 can derive the feature amount using a machine learning model that has learned the relationship between the score and the derived feature amount. For example, the determining means 127 performs the action in the second area by substituting the score or the feature amount derived from the score into an equation for determining matters to be determined when performing the action. decisions to be made at the time of the meeting.

In one embodiment, in step S904, the determining means 127 may determine matters to be determined when performing an action in the second area, based on the score and rules regarding the action. This is useful, for example, when the score alone cannot uniquely determine what should be decided when taking an action in the second area. Even when it is not possible to uniquely determine the matters to be decided when taking an action in the second area based on the score alone, the action can be taken in the second area by also considering the rules regarding the action. This is because it may be possible to uniquely determine matters that should be determined at a particular time.

When determining matters to be determined when performing an action in the second area based on the score and the rule regarding the action in step S904, the process 900 may include a step of changing the rule.

For example, before step S904, the process 900 includes a step in which the changing unit 128 of the processor unit 120 receives votes from at least some of the stakeholders involved in the action regarding the rule change; and modifying the rules based on the results.

Alternatively, for example, before step S904, the process 900 includes a step in which the changing unit 128 of the processor unit 120 determines whether a predetermined condition regarding the rule change is satisfied, and a step in which it is determined that the predetermined condition is satisfied. If the rule is changed, the modifying means 128 may include the step of modifying the rule. The predetermined condition may be, for example, when at least one of a predetermined time, a predetermined elapsed time, and a predetermined number of user registrations is satisfied.

In step S904, matters to be determined when performing an action in the second area are determined based on the score calculated in step S903 and the changed rule.

In this way, by changing the rules regarding actions and using the changed rules to determine the matters that should be decided when performing an action in the second area, it is possible to The matters to be decided in the second area are not fixed, and the matters to be decided when taking action in the second area can be changed in accordance with fashion or the actual situation of the world. . This can contribute to the development of a virtual space or metaverse.

In this manner, in the process 900, it is possible to determine matters to be determined when performing an action in the second area using the score representing the user's characteristics. For example, process 900 can automatically determine decisions to be made when taking actions in the second area without the need for a centralized administrator. That is, through process 900, an autonomous decentralized system that does not require a centralized administrator can be realized.

For example, the process 800 allows the user to access the second area so that the matters determined in the process 900 are executed in the second area when the user accesses the second area. can be done.

For example, after process 900 determines advertisements to be provided to a user in a second area, process 800 may include allowing the user to access the second area so that the user can The determined advertisement will be provided to the user when the area is accessed.

In the example described above with reference to FIGS. 8 and 9, it was explained that the processes are performed in a specific order, but the order of each process is not limited to that described, and can be in any logically possible order. It can be done in For example, step S902 can be performed before step S901.

In the example described above with reference to FIGS. 8 and 9, it was explained that the processing of each step shown in FIGS. 8 and 9 is realized by the processor unit 120 and the program stored in the memory unit 130. However, the present invention is not limited thereto. At least one of the processes in each step shown in FIGS. 8 and 9 may be realized by a hardware configuration such as a control circuit.

The present invention is not limited to the embodiments described above. It is understood that the invention is to be construed in scope only by the claims. It will be understood that those skilled in the art will be able to implement the present invention to an equivalent extent based on the description of the present invention and common general technical knowledge from the description of the specific preferred embodiments of the present invention.

INDUSTRIAL APPLICATION This invention is useful as a thing which provides the method etc. for linking a real world and a virtual world.

A1 Shibuya in the real world A2 Shibuya in the virtual world A3 Server room in the real world A4 Secret room in the virtual world A5 Hospital room in the real world A6 Insurance agency in the virtual world 100 System 200 Database unit 300 Signal transmission means 400 User terminal device 500 Voting User terminal device 600 Network 700 Blockchain network

Claims (19)

A method for linking the real world and the virtual world,
Obtaining location information indicating the user's current location in the real world;
determining whether the current location indicated by the location information is in the first area in the real world;
allowing the user to access a second area in the virtual world when the current location indicated by the location information is in the first area, The two areas have the same level for at least one parameter. The method of claim 1, wherein the at least one parameter includes at least one of security level, land price, luxury, and visitor demographic. 3. The method of claim 1 or claim 2, further comprising causing an avatar of the user to enter the second area by the user accessing the second area. The method according to any one of claims 1 to 3, further comprising providing money in the second area by the user accessing the second area. 5. The method of claim 4, wherein the money includes a death benefit. The method of any one of claims 1 to 5, further comprising delivering a letter in the second area by the user accessing the second area. 7. The method of claim 6, wherein the letter includes a letter from a deceased person. The method according to any one of claims 1 to 7, further comprising providing pre-stored information by the user accessing the second area. 9. The method of claim 8, wherein the first area is a medical facility and the pre-stored information includes information regarding medical insurance. 10. The method of any one of claims 1 to 9, further comprising causing the user to participate in an event in the second area by the user accessing the second area. The method according to any one of claims 1 to 10, wherein the position information includes position information in a height direction. obtaining data and/or information regarding the user;
acquiring a past visit history of the user, the past visit history including a history of the user visiting areas in the real world and/or a history of the user visiting areas in the virtual world; And,
Calculating a score representing characteristics of the user based on the acquired data and/or information regarding the user and the visit history;
The method according to any one of claims 1 to 11, further comprising: determining, based on the score, what should be decided when taking an action in the second area. 13. The method of claim 12, wherein determining a decision to be made in taking an action in the second area includes determining an advertisement to be provided to the user in the virtual world. 14. The method of claim 13, wherein the determining includes determining the to-be-determined thing based on the score and a rule regarding the action. further comprising modifying the rule;
Changing the said rules is
receiving a vote on the change to the rule by at least some of the stakeholders involved in the action;
15. The method of claim 14, comprising: changing the rules based on the results of the voting. Obtaining the location information includes:
receiving from the user's terminal device a signal received by the user's terminal device from a signal transmitting means installed in the real world;
identifying a location where the signal transmitting means is installed based on the signal, the signal transmitting means being configured to transmit the signal having an ID that is variable over time; A method according to any one of claims 1 to 15. 17. The method of claim 16, wherein the signal transmitting means is arranged to transmit the signal with variable coverage. A system for linking the real world and the virtual world,
a location information acquisition means for acquiring location information indicating the user's current location in the real world;
determining means for determining whether the current location indicated by the location information is in the first area in the real world;
and access enabling means for allowing the user to access a second area in the virtual world when the current location indicated by the location information is in the first area, the first area and the second area has the same level for at least one parameter. A program for linking the real world and a virtual world, the program being executed on a computer including a processor unit, the program comprising:
Obtaining location information indicating the user's current location in the real world;
determining whether the current location indicated by the location information is in the first area in the real world;
causing the processor unit to perform processing including: allowing the user to access a second area in the virtual world when the current location indicated by the location information is in the first area; The first area and the second area have the same level for at least one parameter.