KR102368616B1 - Method for generating lecturer room of metaverse space and apparatus thereof - Google Patents

Abstract

Disclosed are a method for generating a virtual lecturer space for learning in metaverse and a device thereof. According to one aspect of the present invention, the method comprises: a step of generating, by a device, a first virtual lecture space based on profile information of learners who have applied for a first lecture; and a step of respectively generating, by the device, virtual avatars of instructors and learners entering the first virtual lecture space, and outputting the virtual avatars to the virtual first lecture space.

Description

Method and device for creating virtual lecture space for learning in metaverse

The present invention relates to a method and an apparatus for creating a virtual lecture space for learning in a metaverse, and more particularly, to a lecture space based on learner's profile information when a lecture (class) of a specific content is conducted in a virtual space. To a method and an apparatus for creating a virtual lecture space for learning in the metaverse, which can increase learners' participation in education and immersion in learning by automatically creating

Recently, virtual reality, augmented reality, and mixed reality technology to which computer graphic technology is applied has been developed. At this time, virtual reality technology refers to a technology that uses a computer to build a virtual space that does not exist in the real world and then makes the virtual space feel like reality. It refers to a technology that adds information, that is, a technology that allows interaction with a user in real time by combining the real world and the virtual world.

Among them, augmented reality and mixed reality technologies are being used in combination with technologies in various fields (eg, broadcasting technology, medical technology, game technology, etc.). Augmented reality technology in the field of broadcasting technology is when the weather map in front of a weather caster who forecasts the weather on TV changes naturally, or when an advertisement image that does not exist in the stadium is inserted into the screen as if it actually exists in the stadium during sports broadcasting. This is a representative example of the combined use. In particular, these augmented reality and mixed reality technologies are being implemented and provided as various application services with the advent of smart phones.

As a representative service that provides augmented reality or mixed reality to users, there is a meta-verse. This metaverse is a compound word of 'Meta', meaning fictitious and abstract, and 'Universe', meaning the real world, meaning a three-dimensional virtual world. Metaverse is a more advanced concept than the conventional virtual reality environment, and provides an augmented reality environment in which virtual worlds such as the web and the Internet are absorbed into the real world.

In this regard, in a metaverse-based network environment, lectures (classes) are conducted using personal terminals such as smartphones possessed by instructors and learners, and a service is provided to activate communication between instructors and learners.

However, there is a limit in increasing learners' participation in education and immersion in learning by uniformly providing the lecture space when lectures are conducted in a conventional metaverse-based virtual space.

The background technology of the present invention is disclosed in 'Learning content providing system and method' of Republic of Korea Patent Publication No. 2011-0070625 (2011.06.24).

The present invention is drawn out to improve the above-described problems, and an object of the present invention is to automatically create a lecture space based on the learner's profile information when a lecture (class) of a specific content is conducted in a virtual space, so that learners It is to provide a method and device for creating a virtual lecture space for learning in the metaverse that can increase participation in education and immersion in learning.

The problem to be solved by the present invention is not limited to the problem(s) mentioned above, and another problem(s) not mentioned will be clearly understood by those skilled in the art from the following description.

A method for generating a virtual lecture space for learning in a metaverse according to an aspect of the present invention comprises the steps of: generating, by an apparatus, a virtual first lecture space based on profile information of learners who have applied for a first lecture; and generating, by the device, virtual avatars of instructors and learners entering the virtual first lecture space, respectively, and outputting them to the virtual first lecture space.

The present invention may further include, before the step of generating the virtual first lecture space, the device generating and storing a lecture space template for at least one of each industry and each job in a database.

In the present invention, the step of creating the first virtual lecture space includes, by the device, analyzing profile information of learners who have applied for the first lecture to identify at least one of industries and jobs of each learner; and extracting, by the device, at least one lecture space template corresponding to the industries and jobs of the learners from the database, and generating the virtual first lecture space using the extracted lecture space template. there is.

In the present invention, in the step of generating the virtual first lecture space using the extracted lecture space template, the device counts the number of learners for each industry for learners who have applied for the first lecture, and the If there is an industry with a first ratio or higher among the counted number of learners by industry, a lecture space template corresponding to the corresponding industry is obtained from the database and created as the virtual first lecture space, and among the counted number of learners by industry When an industry that is less than the first ratio and greater than or equal to a preset second ratio exists, at least one item is obtained from the lecture space template corresponding to the industry from the database, and the obtained items are synthesized to form the virtual first You can create a classroom space.

In the present invention, in the step of generating the first virtual lecture space using the extracted lecture space template, the device is configured for each job when there is no industry with the second ratio or more among the counted number of learners by industry. Count the number of learners, and if there is a job greater than the first ratio among the counted number of learners for each job, obtain a lecture space template corresponding to the job from the database and create the virtual first lecture space, If there is a job that is less than the first ratio and greater than or equal to the second ratio among the number of learners for each job, at least one item is acquired from the lecture space template corresponding to the job from the database, and the acquired items are synthesized to A virtual first lecture space may be created.

In the present invention, upon receiving a request for a personalized lecture space from a learner terminal, the device provides a lecture space template based on at least one of the learner's industry and job, the learner's lecture space template use history, and other learners' lecture space template use histories A recommendation list is generated, the lecture space template recommendation list is provided to the learner terminal, and a lecture space template selected by the learner from the lecture space template recommendation list is created as the learner's personalized lecture space through the learner terminal It may further include the step of outputting.

An apparatus for generating a virtual lecture space for learning in a metaverse according to an aspect of the present invention creates a virtual lecture space for generating a virtual first lecture space based on profile information of learners who have applied for a first lecture unit, a virtual avatar generator for generating virtual avatars of instructors and learners entering the virtual first lecture space, respectively, and a metaverse management unit for outputting virtual avatars of the instructors and learners to the first virtual lecture space include

The present invention may further include a lecture space template generator for generating and storing lecture space templates for at least one of each industry and each job function in a database.

In the present invention, the virtual lecture space generation unit analyzes profile information of learners who have applied for the first lecture to identify at least one of the industries and jobs of each learner, and at least one corresponding to the industries and jobs of the learners. A lecture space template of , may be extracted from the database, and the virtual first lecture space may be created using the extracted lecture space template.

In the present invention, the virtual lecture space generation unit counts the number of learners for each industry for learners who have applied for the first lecture, and among the counted number of learners for each industry, if there is an industry that is greater than or equal to a preset first ratio, Obtaining a lecture space template corresponding to the industry from the database and creating the virtual first lecture space, and among the counted number of learners by industry, an industry that is less than the first ratio and greater than or equal to a preset second ratio exists, At least one item may be obtained from a lecture space template corresponding to a corresponding industry from the database, and the first virtual lecture space may be generated by synthesizing the obtained items.

In the present invention, the virtual lecture space generation unit, if there is no industry equal to or greater than the second ratio among the counted number of learners by industry, counts the number of learners for each job, and the first ratio among the counted number of learners for each job When a job with more than one job exists, a lecture space template corresponding to the job is obtained from the database and created as the virtual first lecture space, and among the number of learners for each job, a job that is less than the first ratio and greater than or equal to the second ratio If present, at least one item may be obtained from the lecture space template corresponding to the job from the database, and the obtained items may be synthesized to generate the virtual first lecture space.

When receiving a request for a personalized lecture space from a learner terminal, the present invention provides a list of recommended lecture space templates based on at least one of the learner's industry and job, the learner's lecture space template use history, and other learners' lecture space template use histories generating, providing the lecture space template recommendation list to the learner terminal, and generating the lecture space template selected by the learner from the lecture space template recommendation list as the learner's personalized lecture space to be output through the learner terminal It may further include a personalized lecture space providing unit.

In addition to this, other methods for implementing the present invention, other systems, and computer programs for executing the methods may be further provided.

A method and apparatus for creating a virtual lecture space for learning in a metaverse according to an embodiment of the present invention provide a lecture space based on learner's profile information when a lecture (class) of a specific content is conducted in a virtual space By automatically generating, it is possible to increase learners' participation in education and immersion in learning.

A method and apparatus for generating a virtual lecture space for learning in a metaverse according to an embodiment of the present invention provide a virtual lecture space in which each learner's individual taste is reflected in the course of a lecture, thereby allowing learners to participate in education degree, interest, and communication can be increased.

On the other hand, the effects of the present invention are not limited to the above-mentioned effects, and various effects may be included within the range obvious to those skilled in the art from the description below.

1 is a view for explaining a system for generating a lecture space for learning in a metaverse according to an embodiment of the present invention.
2 is a block diagram schematically illustrating a service server that creates a virtual lecture space for learning in a metaverse according to an embodiment of the present invention.
3 is an exemplary diagram for explaining a metaverse virtual space in which a lecture is conducted according to an embodiment of the present invention.
4 is a diagram for explaining a method of generating a virtual lecture space for learning in a metaverse space according to an embodiment of the present invention.

Hereinafter, a method and apparatus for creating a virtual lecture space for learning in a metaverse according to an embodiment of the present invention will be described with reference to the accompanying drawings. In this process, the thickness of the lines or the size of the components shown in the drawings may be exaggerated for clarity and convenience of explanation.

Further, implementations described herein may be implemented as, for example, a method or process, an apparatus, a software program, a data stream, or a signal. Although discussed only in the context of a single form of implementation (eg, discussed only as a method), implementations of the discussed features may also be implemented in other forms (eg, as an apparatus or program). The apparatus may be implemented in suitable hardware, software and firmware, and the like. A method may be implemented in an apparatus such as, for example, a processor, which generally refers to a computer, a microprocessor, a processing device, including an integrated circuit or programmable logic device, or the like. Processors also include communication devices such as computers, cell phones, portable/personal digital assistants (“PDA”) and other devices that facilitate communication of information between end-users.

In addition, the terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof. Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

Throughout the specification, the term "content or contents" includes a concept that collectively refers to digital information or individual information elements made up of text, code, voice, sound, sound source, image, video, etc. accessible through a communication network. can Such content may include, for example, data such as text, image, video, sound source, link (eg, web link), or a combination of at least two of these data. In this embodiment, the content may include learning content from which the user can receive knowledge by using the content. “Lesson” described throughout the specification may include classes, learning processes, and learning content.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. decide to do

1 is a view for explaining a system for generating a lecture space for learning in a metaverse according to an embodiment of the present invention.

Referring to FIG. 1 , a system for creating a lecture space for learning in a metaverse space according to an embodiment of the present invention includes an instructor terminal 100 , a learner terminal 200 , and a service server 300 , and these are a communication network. can be connected via

The instructor terminal 100 may execute or display a learning service application or a learning service site provided by the service server 300 , and receive access identification information (ID) and password of the instructor through the instructor terminal 100 . The server 300 may perform instructor authentication for a learning service application or a learning service site.

The instructor terminal 100 may control the instructor avatar in the metaverse virtual space through connection with the service server 300 . In this case, the instructor terminal 100 may collect sensing information according to the instructor's movement and transmit it to the service server 300 . That is, the instructor terminal 100 is connected to the service server 300 through an action recognition sensor (not shown) attached to the instructor's body, and can transmit sensing information detected through the action sensor to the service server 300 . there is.

The learner terminal 200 may execute and/or display a learning service application or a learning service site provided by the service server 300 , and receive the learner's access identification information (ID) and password through the learner terminal 200 . One service server 300 may perform learner authentication for a learning service application or a learning service site.

The learner terminal 200 may control the generation of instructor avatars in the metaverse virtual space through connection with the service server 300 , and may use services such as learning content. Also, the learner terminal 200 may control the learner avatar in the metaverse virtual space through connection with the service server 300 . In this case, the learner terminal 200 may collect sensing information according to the learner's movement and transmit it to the service server 300 . That is, the learner terminal 200 is connected to the service server 300 through an action recognition sensor (not shown) attached to the learner's body, and can transmit sensing information detected through the action recognition sensor to the service server 300 . there is.

The instructor terminal 100 and the learner terminal 200 are a desktop computer, a smartphone, a notebook, a tablet PC, a smart TV, a mobile phone, a personal digital assistant (PDA), a laptop, a media player, a micro server operated by the instructor and the learner; It may be, but is not limited to, a global positioning system (GPS) device, an e-book terminal, a digital broadcast terminal, a navigation device, a kiosk, an MP3 player, a digital camera, a home appliance, and other mobile or non-mobile computing devices. In addition, the instructor terminal 100 and the learner terminal 200 may be wearable terminals such as a watch, glasses, a hair band, and a ring having a communication function and a data processing function. The learner terminal 200 is not limited to the above, and a terminal capable of web browsing can be borrowed without limitation.

In addition, the instructor terminal 100 and the learner terminal 200 may include an additional device for providing a virtual space. In one embodiment, the instructor terminal 100 and the learner terminal 200 may include a head mount display (HMD). However, the output device included in the instructor terminal 100 and the learner terminal 200 is not limited to the HMD, and various types of output devices may be used to provide virtual reality. The instructor terminal 100 and the learner terminal 200 may have a built-in processing device for processing and reproducing the virtual space, or may be connected to an external processing device to output information received from the processing device using a display. there is. The external processing device may be the instructor terminal 100 and the learner terminal 200 , or a computing device connected to the service server 300 . According to an embodiment, the instructor terminal 100 and the learner terminal 200 may output a virtual reality image based on information received from the service server 300 .

In addition, the instructor terminal 100 and the learner terminal 200 collect information on the user's movement acquired through a sensor, and reflect the user's movement on the avatar in the metaverse virtual space. For example, the instructor terminal 100 and the learner terminal 200 collect and analyze movement information about the user's movement, behavior, etc. through an image sensor disposed around the user or a pulse or acceleration sensor worn by the user. , you can make the avatar in the metaverse virtual space change direction or wave a hand.

Context awareness (exercise state) information about a user in the classroom collected and analyzed by the instructor terminal 100 and the learner terminal 200 is transmitted to the other instructor terminal 100 and the learner terminal 200 through the service server 300 . By being provided, interaction between multiple users can be made in the same metaverse virtual space. For example, for interaction between a user in a classroom and a user moving in the real world in the same metaverse virtual space, a user moving in the real world carries the instructor terminal 100 or the learner terminal 200 . The instructor terminal 100 and the learner terminal 200 use the augmented reality service to project the user's appearance as an avatar on the screen projected as an image of the real world to the user teaching in the classroom in the real world. Virtual space can be provided. At this time, the service server 300 receives information about the user's movement or location obtained through a gyro sensor or a GPS (Global Positioning System) module from the instructor terminal 100 and the learner terminal 200, and It can be transmitted to other instructor terminals 100 and learner terminals 200 .

Since the instructor terminal 100 and the learner terminal 200 are the same as the conventional terminal providing the metaverse space, a detailed description thereof will be omitted.

When the first lecture (first class) of the instructor terminal 100 or the learner terminal 200 is selected, the service server 300 creates a virtual first lecture space based on profile information of learners who have applied for the first lecture. The virtual avatars of instructors and learners who enter the virtual first lecture space may be generated and output to the virtual first lecture space. At this time, the service server 300 analyzes the profile information of the learners who have applied for the first lecture to identify at least one of the industries and jobs of each learner, and at least one lecture space template corresponding to the industries and jobs of the learners. is extracted from the database, and a virtual first lecture space can be created using the extracted lecture space template.

The service server 300 may analyze the sensing information from the instructor terminal 100 or the learner terminal 200 to recognize the user's behavior and reflect it on the avatar of the first virtual space. That is, the service server 300 may analyze the sensing information received from the instructor terminal 100 to recognize the instructor's behavior, and reflect the recognized instructor's behavior on the avatar on the learning content to control the avatar's behavior.

The service server 300 configures a social network between users by using the lifelog (ie, user information and log information) of the user using the connected instructor terminal 100 or the learner terminal 200, and a social relationship between users. It is also possible to match the communication partner by inferring. The service server 300 provides communication functions such as message transmission between instructors and learners corresponding to matched communication partners, and enables instructors and learners corresponding to matched communication partners to use services provided on the metaverse together. do.

The service server 300 may be a computing device including at least one processor. The service server 300 may also mean a cloud server. In an embodiment, the service server 300 may be used in combination with a platform.

The service server 300 is connected to the instructor terminal 100 and the learner terminal 200, and can transmit content to each of a plurality of virtual reality equipment, and each instructor terminal 100 and the learner terminal 200 provide a service. A virtual space may be output based on the content received from the server 300 .

The service server 300 provides various metaverse spaces to a plurality of users located in different real spaces. In this case, each user may share the same metaverse space by remotely accessing the service server 300 using the instructor terminal 100 or the learner terminal 200 . The metaverse space provided by the service server 300 to users may be composed of various contents indicating a lecture place, such as a lecture room, and the service server 300 provides remote access to the instructor terminal 100 and the learner terminal 200 . Metaverse spaces suitable for each characteristic can be provided to each. For example, the service server 300 may provide a science laboratory based on the real world through the learner terminal 200 to learners who are learning science experiment lectures (classes). Accordingly, a learner who conducts a science experiment can receive the science lab metaverse space provided by the service server 300 as 3D graphics of virtual reality through display means such as a monitor, You can learn the science experiment class by looking at the avatar.

Meanwhile, in the embodiment of the present invention, it has been described that the service server 300 creates a virtual lecture space, generates virtual avatars of instructors and learners entering the virtual lecture space, and outputs them in the virtual lecture space. The operation may also be performed in the instructor terminal 200 and the learner terminal 200 that enable learning in the metaverse through the learning service application (program). Accordingly, at least one of a service server 300 and terminals 100 and 200 for generating a virtual lecture space and generating virtual avatars of instructors and learners entering the virtual lecture space and outputting them in the virtual lecture space. As a concept, it can be referred to as a 'device'.

Hereinafter, for convenience of explanation, a configuration for creating a virtual lecture space for learning in the metaverse will be described in the case of the service server 300 .

2 is a block diagram schematically showing a service server that creates a virtual lecture space for learning in the metaverse according to an embodiment of the present invention. It is an exemplary diagram for explaining a bus virtual space.

Referring to FIG. 2 , the service server 300 for generating a virtual lecture space for learning in the metaverse according to an embodiment of the present invention includes a communication unit 310 , a storage unit 320 , and a database 330 . , authentication unit 340, virtual lecture space generation unit 350, virtual avatar generation unit 360, metaverse management unit 370, behavior recognition unit 380, personalized lecture space providing unit 390, lecture space template It includes a generator 400 and a controller 410 .

The communication unit 310 interworks with the communication network to provide a communication interface necessary to provide a transmission/reception signal between the service server 300 and the instructor terminal 100 or the service server 300 and the learner terminal 200 in the form of packet data. there is. Furthermore, the communication unit 310 may receive a virtual lecture request signal from the learner terminal 200 , and provide a metaverse virtual space for the virtual lecture to the learner terminal 200 . In addition, the communication unit 310 may be a device including hardware and software necessary for transmitting and receiving signals such as control signals or data signals through wired/wireless connection with other network devices. In addition, the communication unit 310 may be implemented in various forms, such as a short-range communication module, a wireless communication module, a mobile communication module, and a wired communication module.

The storage unit 320 is configured to store data related to the operation of the service server 300 . Here, the storage unit 320 may use a known storage medium, for example, any one or more of known storage media such as ROM, PROM, EPROM, E EPROM, RAM, etc. may be used. In particular, a learning service program (application or applet) may be stored in the storage unit 320 , and the stored information may be selected by the control unit 410 as needed.

The database 330 may include an instructor information database 331 , a learner information database 332 , a lecture information database 333 , a character database 334 , and a lecture space template database 335 .

The instructor information database 331 may store instructor information, lecture contents, lecture time, and the like. In this case, the lecturer information database 331 may receive and store lecturer information including the lecturer's name, age, gender, academic background, school of origin, field of interest, activity history, lecture field, ID and password, etc. in the membership registration step. .

The learner information database 332 stores learner information including the learner's name, ID, password, and learning history. In this case, the learner information database 332 may receive and store personal information including the learner's name, age, region, field of interest, ID and password, learning progress, occupation, competency level, and the like in the member registration step.

The lecture database 336 may classify information on lectures (classes, curriculum, learning contents, etc.) to be lectured or lectured by each instructor into categories and stored. In this case, the lecture database 336 may store learning class information including the name of the lecture, information on the instructor, information about the learner who has applied for the corresponding lecture, and the like. In addition, virtual character creation information set by the instructor for each lecture may be stored in the lecture database 336 . In addition, virtual character creation information of learners who have applied for each lecture may be stored in the lecture database.

The lecture database 336 may store lecture contents for each category. In this case, the lecture database 336 may store metadata including category identification information and keyword information of each lecture content in a hierarchical structure. The keyword information may be an index word of the corresponding lecture content. Also, the lecture database 336 may store similar lecture contents in the same category. Also, the lecture database 336 may store learning amount information for each lecture. Here, the learning amount information may include the number of times learners have learned, learning time, and the like.

The character database 334 may store characters according to the gender of each age group. For example, the character database 334 may store male/female characters for each age group, such as teens, 20's, 30's, 40's, 50's, 60's, and 70's.

The lecture space template database 335 may store lecture space templates representing each industry, each job, and each lecture topic. That is, in the lecture space template database 335, at least one category of industry, job, and education topics is set, and information on a lecture space template for each category and an item (object) constituting each lecture space template is provided. are stored, and priorities may be set for each item.

For example, the lecture space template database 335 may include large categories such as industries, jobs, and lecture topics. The industry category is divided into construction industry, finance and insurance industry, distribution industry, textile and apparel industry, food and beverage industry, health industry, electrical and electronic industry (H/W), IT industry (S/W), manufacturing industry, steel and metal industry, chemical industry, and transportation industry. It may include categories, and each subcategory category may include at least one or more lecture space templates, and each lecture space template may consist of at least one or more items, and a priority may be set for each item. . In addition, the job category may include middle classification categories such as sales, HR, production IT, marketing, business planning, and financial accounting, and each middle classification category may include at least one or more classroom space templates, and each classroom space template may be composed of at least one or more items, and a priority may be set for each item. In addition, the education topic category may include middle classification categories such as leadership, communication, healing, CS, organizational activation, creativity, and work skill, and each middle classification category may include at least one or more lecture space templates, and each lecture The space template may be composed of at least one or more items, and a priority may be set for each item.

The lecture space template generating unit 400 may generate a lecture space template representing each industry, job, and lecture topic and store it in the lecture space template database 335 .

The lecture space template generator 400 may generate a lecture space template for at least one of an industry, a job, and an education topic. For example, in the case of the construction industry, the lecture space template generating unit 400 creates a lecture space template by creating a construction site (inside a building under construction), a rooftop of the tallest building, and a space in which heavy construction equipment (ex. tower crane) is visible outside the window. can do. In addition, in the case of the finance and insurance industry, the lecture space template generating unit 400 may create a lecture space template for the finance and insurance industry in front of the Wall Street bull statue, in a lecture room where the currency of each country is wallpaper, and on a large calculator. In the case of the distribution industry, the lecture space template generating unit 400 may generate an automated warehouse (eg, Amazon logistics warehouse), a container freighter, a drone carrying goods, etc. as a lecture space template. In the case of leadership, the lecture space template generation unit 400 is a famous leadership training center in Hong Kong, the summit of Mount Everest, the summit of Mt. Baekdu, a spaceship just taking off (fire is spouting from its engine), 12 ships, Yi Sun-sin, and a sinking boat. You can create a captain, etc., as a lecture space template. In the case of communication, the lecture space template creation unit 400 uses the best beef restaurant in Korea, a sushi restaurant with a view of the sea on Jeju Island, a cruise, Panmunjom, Eurostar UK France undersea tunnel, a comfortable atmosphere outside the training ground, etc. as a lecture space template. can create In addition, in the case of healing, the lecture space template generating unit 400 may create a lecture space template such as Sedona meditation in the United States, a yoga holy place in India, a Cuban beach, an airplane going overseas, Bali, Indonesia, and Bijarim. In the case of CS, the lecture space template generation unit 400 may generate a rest area, a service center, a Maguk Zappos, Palace of Versailles, Buckingham Palace, Gyeongbokgung Palace, Taj Mahal, etc. as a lecture space template. In the case of organizational activation, the lecture space template generating unit 400 generates a marine corps camp, a swimming pool, a room escape maze, Mt. Baekdu, an anthill (both avatars are ants), and a group of lions trying to hunt together (the role of a lioness and a male lion). sharing), etc., can be created as a lecture space template. In the case of sales, the lecture space template generating unit 400 may create a lecture space template with a negotiation table, a figure selling refrigerators in the North/South Poles, and the like. In the case of HR, the lecture space template generating unit 400 may generate the Davos forum, adt forum, Seodang (commendation and students), and Havard University campus as the lecture space template. In the case of production, the lecture space template generating unit 400 may generate a conveyor belt, a craftsman who bakes pottery, etc. as a lecture space template. In the case of IT, the lecture space template generating unit 400 may create a lecture space template such as Google, Apple Inc., an ordinary American garage (a place of founding a famous IT company such as Apple), Google Sculpture Park (Silicon Valley Landmark), and the like. In the case of marketing, the lecture space template generating unit 400 may generate the Cheil Worldwide Headquarters, Beverly Hills, Dubai Mall, Harrods Department Store in England, and Swiss Luxury Watch Street as lecture space templates. In the case of business planning, the lecture space template generating unit 400 uses McKinsey Corporation, the display conditions of both armies on the battlefield in the Middle Ages, and the voyage of aircraft carriers (flagships, frigates, and planes in the sky) as a lecture space template. can create In the case of financial accounting, the lecture space template generation unit 400 uses the Samil Accounting Firm, Excel sheet large (function diagram and), calculator, stock price graph, large accounting book, background of stacked coins, etc. as a lecture space template. can create

The authentication unit 340 performs user authentication based on the authentication information received from the communication unit 310 . That is, the authentication unit 340 detects the ID and password from the authentication information received from the communication unit 310 . The authenticator 340 processes the instructor authentication success if instructor information matching the ID and password detected from the instructor information database 331 exists. In addition, the authentication unit 340 processes the learner authentication success when there is learner information matching the ID and password detected from the learner information database 332 .

The virtual lecture space generating unit 350 may create a virtual lecture space based on profile information of learners who have applied for each lecture. Here, the profile information may include an industry to which the learner belongs, a job, and the like.

The virtual lecture space generating unit 350 obtains profile information of learners who have applied for the first lecture from the learner information database 332, and analyzes the obtained profile information of the learners to determine at least one of industries and jobs of each learner. can Then, the virtual lecture space generating unit 350 extracts at least one lecture space template corresponding to the industries and jobs of the learners from the lecture space template database 335, and uses the extracted lecture space template to create a virtual first You can create a classroom space.

Specifically, the virtual lecture space generating unit 350 counts the number of learners in each industry for learners who have applied for taking the first lecture, and if there is an industry that is greater than or equal to a preset first ratio among the counted number of learners by industry , it is possible to obtain a lecture space template of the corresponding industry from the lecture space template database 335 and create it as a virtual first lecture space. Here, the first ratio may be an arbitrarily set value, for example, 70%.

For example, if the construction industry is more than 70% of the industries to which the learners who have applied for the first lecture belong, the virtual lecture space generating unit 350 is a lecture space template of the construction industry as shown in FIG. The construction site background can be created as a virtual first lecture space (A). In this case, the virtual instructor avatar 10 and the virtual learner avatar 20 may be displayed in the first virtual lecture space A.

If there is no industry with a first ratio or more among the counted number of learners by industry, the virtual lecture space generating unit 350 may determine whether there is an industry in which the number of learners by industry is greater than or equal to the second ratio and less than the first ratio. If there is an industry in which the number of learners for each industry is greater than or equal to the second ratio and less than the first ratio, the virtual lecture space generating unit 350 acquires at least one item constituting the lecture space template of the corresponding industry, and synthesizes the obtained items to create a virtual It is possible to create a first lecture space of . At this time, the virtual lecture space generating unit 350 sets the lecture space template corresponding to the industry name of the highest ratio among industries in which the number of learners is equal to or greater than the second ratio as the main background, The item with the highest priority is extracted from the lecture space template, and the extracted item is added to the main background to create a virtual first lecture space. At this time, since each item constituting the lecture space template is matched with location information (position in the corresponding lecture space template), the virtual lecture space generating unit 350 obtains the location information of the extracted item, and By adding the extracted item to the corresponding location, a virtual lecture space can be created.

For example, if the construction industry is 40%, the steel and metal industry is 36%, and the other 24% among the industries to which the learners who have applied for the first lecture belong, the virtual lecture space generating unit 350 is shown in (b) of FIG. ), the 'construction site background (A)', a lecture space template for the construction industry, is the main background, and 'spaceship (B)', the highest priority item in the lecture space template for the steel and metal industry, is the main background. By synthesizing to , a virtual lecture space can be created. In this case, the virtual lecture space generating unit 350 may obtain the position information of the spacecraft B, and synthesize the spacecraft B with the obtained position information.

In addition, if there is no industry in which the number of learners is greater than or equal to the second ratio among the counted number of learners by industry, the virtual lecture space generating unit 350 counts the number of learners for each job for learners who have applied for the first lecture, and the counted It can be determined whether there is a job with a first ratio or higher among the number of learners for each job. If there is a job with a first ratio or more among the counted number of learners for each job, the virtual lecture space generating unit 350 obtains a lecture space template corresponding to the corresponding job from the lecture space template database 335 to obtain a virtual first lecture space. can be created with Here, the first ratio and the second ratio may be arbitrarily set values, for example, the first ratio may be 70%, and the second ratio may be 25%.

If, among the counted number of learners by job, there is no job having a first ratio or more, the virtual lecture space generating unit 350 may determine whether there is a job in which the number of learners for each job is greater than or equal to the second ratio and less than the first ratio. When the number of learners for each job is greater than or equal to the second ratio and there is a job with less than the first ratio, the virtual lecture space generating unit 350 acquires at least one item constituting the lecture space template of the corresponding job, and synthesizes the obtained items. A virtual first lecture space may be created. At this time, the virtual lecture space generating unit 350 sets the lecture space template corresponding to the job name of the highest ratio among the jobs where the number of learners is greater than or equal to the second ratio as the main background, The item with the highest priority is extracted from the lecture space template, and the extracted item is added to the main background to create a virtual first lecture space. At this time, since each item constituting the lecture space template is matched with location information (position in the corresponding lecture space template), the virtual lecture space generating unit 350 obtains the location information of the extracted item, and By adding the extracted item to the corresponding location, a virtual lecture space can be created.

In addition, if there is no industry and job where the counted number of learners for each industry and job is equal to or greater than the first ratio and the second ratio, respectively, the virtual lecture space generating unit 350 generates a virtual lecture space with the basic template set by the instructor. can When opening a lecture, the instructor can select a lecture space template required to create a virtual lecture space and set it as the default template.

The virtual avatar generator 360 may generate an avatar that moves in association with the user's movement based on the user's movement information data and the behavior information data provided from the behavior recognition unit 380 . Meanwhile, the virtual avatar generator may generate an avatar that moves in association with movement of another user based on movement information data and behavior information data of another user received from the user terminal through the communication unit.

When the learner selects the first lecture, the virtual avatar generator 360 may generate the first virtual instructor avatar according to instructor character creation information set in the first lecture. That is, when the learner selects a first lecture (first class) of specific content, the virtual avatar generating unit 360 provides an avatar (appearance, history, story, etc.) may be automatically generated based on learning data (lecture data) stored in the database 330 . Here, the instructor character generation information may include at least one of creating an instructor character according to a character set value of the instructor, automatically generating the instructor character, and creating an assistant instructor character. Instructor character creation according to the instructor's character set value means to generate a virtual instructor avatar according to the character set value set by the instructor, and the instructor character automatic generation automatically creates a virtual instructor avatar based on lectures similar to the first lecture. may mean to create Creating an assistant instructor character may mean automatically generating an avatar for an assistant instructor who will assist the first lecture based on lectures similar to those of the first lecture.

Hereinafter, a method for the virtual avatar generator 360 to generate the first virtual instructor avatar based on the virtual character creation information will be described.

First, when the instructor character creation information is the instructor character creation according to the instructor character set value, the virtual avatar generator 360 generates a first virtual instructor avatar according to the gender, age group, size, color and appearance in the character set value. can do. That is, the instructor may input character set values such as gender, age, size, color, and appearance of the character (avatar) to be lectured in the virtual space in relation to the first lecture through the instructor terminal 100, and the instructor terminal ( 100 ) may transmit a character setting value for the first lecture to the service server 300 . Then, the virtual avatar generating unit 360 may generate a character according to the character set value and generate the character as the first virtual instructor avatar.

Next, when the instructor character creation information is automatic instructor character generation, the virtual avatar generator 360 analyzes the relative learning amount ratio and instructor information of lectures similar to the first lecture, and based on the relative learning amount ratio and the instructor information, 1 You can automatically create a virtual instructor avatar.

Specifically, the virtual avatar generator 360 may extract a preset number of lectures based on the learning amount of the lectures included in the category of the first lecture. That is, the virtual avatar generator 360 may extract lectures of a category to which lectures similar to the first lecture are mapped from the lecture information database 333 , and extract instructor information and learning amount information of the extracted lectures. Here, the instructor information may include age, gender, academic background, school of origin, field of interest, activity history, etc., and the learning amount information may include the number of times learners have learned, learning time, and the like. Thereafter, the virtual avatar generator 360 may extract a preset number of lectures based on the extracted learning amount information of the lectures. In this case, the virtual avatar generating unit 360 may sort the lectures in the order in which at least one of the number of times the learners have learned and the learning time is greater, and select a predetermined number of lectures arranged at the top. For example, the virtual avatar generator 360 may select three lectures with a high learning amount.

The virtual avatar generator 360 may calculate a relative learning amount ratio for each selected lecture. In this case, the virtual avatar generator 360 may calculate a relative learning amount ratio based on the number of times of learning of each lecture compared to the sum of the number of times of learning of the extracted lectures.

For example, when three lectures are selected, the virtual avatar generator 360 may calculate the relative learning amount ratio r _n using Equation 1 below.

[Equation 1]

r _n = (Number of lessons learned in nth lecture / Sum of learning times in 3 lessons) * 100

When the relative learning amount ratio is calculated, the virtual avatar generator 360 may generate a first virtual instructor avatar based on the relative learning amount ratio and instructor information. In this case, the virtual avatar generating unit 360 selects the age and gender of a lecturer having the highest relative learning rate, extracts a character corresponding to the selected age and gender from the character database 334 , and sets the extracted character to the first You can create it as a virtual instructor avatar.

For example, if the lecturer with the highest relative learning rate is a 36-year-old female lecturer, the virtual avatar generator 360 extracts a character of a woman in her 30s from the character database 334, A character may be created as the first virtual instructor avatar.

Finally, when the instructor character creation information is the auxiliary instructor character creation, the virtual avatar generator 360 generates a first virtual instructor avatar according to the instructor's character set value, and the relative learning rate and A first virtual assistant instructor avatar may be generated based on the instructor information. In this case, the virtual avatar generator 360 may generate the first virtual instructor avatar according to the gender, age group, size, color, and appearance in the character set value of the instructor. In addition, the virtual avatar generator 360 may analyze the relative learning amount ratio and instructor information of lectures similar to the first lecture, and automatically generate the first virtual assistant instructor avatar based on the relative learning amount ratio and the instructor information. Specifically, the virtual avatar generator 360 may extract lectures of a category to which lectures similar to the first lecture are mapped, and extract instructor information and learning amount information of the extracted lectures. Thereafter, the virtual avatar generator 360 may extract a preset number of lectures based on the extracted learning amount information of the lectures, and calculate a relative learning amount ratio for each extracted lecture. When the relative learning amount ratio is calculated, the virtual avatar generator 360 may generate a first virtual assistant instructor avatar based on the relative learning amount ratio and instructor information. In this case, the virtual avatar generating unit 360 selects the age and gender of the instructor of the lecture having the highest relative learning rate, extracts a character corresponding to the selected age and gender from the character database 334 , and sets the extracted character to the first You can create it as a virtual assistant instructor avatar. Also, the virtual avatar generating unit 360 may select the educational background and school of the instructor having the highest relative learning rate, and set the first virtual assistant instructor avatar's educational background and school of origin. In addition, the virtual avatar generating unit 360 extracts a certain number of fields of interest and activity histories from the extracted fields of interest and activity histories of each instructor, and sets the extracted fields of interest and activity histories to the interests of the first virtual assistant instructor avatar. It can be set by field and activity history. For example, when three instructors are extracted, the virtual avatar generator 360 selects (3 * r _n ) from each instructor's field of interest, and selects (3 * r _n ) from each instructor's activity history. can

The metaverse management unit 370 may output the virtual avatars of instructors and learners generated by the virtual avatar generation unit 360 to the virtual lecture space created by the virtual lecture space generation unit 350 .

The metaverse management unit 370 may control the actions of the instructor and the learner recognized by the action recognition unit 380 by reflecting the movements of the instructor avatar and the learner avatar in the virtual lecture space.

The metaverse management unit 370 manages the metaverse, which is a virtual lecture space in which the avatar on which the real world is projected acts. That is, the metaverse management unit 370 may apply the behavior recognition information of the behavior recognition unit 380 to the metaverse.

The behavior recognition unit 380 may receive sensing information for detecting an action of a user (including an instructor and a learner) from the instructor terminal 100 and the learner terminal 200, and recognize the user action based on the sensing information. there is.

The behavior recognition unit 380 may receive sensing information corresponding to the user's behavior in order to reflect the user's behavior in the content, and may perform behavior recognition for the user by using the received sensing information. In this case, the behavior recognition unit 380 may recognize the user's behavior by referring to pre-stored behavior information.

The personalized lecture space providing unit 390, upon receiving a request for a personalized lecture space from the learner terminal, is based on at least one of the learner's industry and job, the learner's lecture space template use history, and other learners' lecture space template use histories to create a lecture space template recommendation list, provide the created lecture space template recommendation list to the learner terminal, and create a classroom space template selected by the learner from the lecture space template recommendation list as the learner's personalized lecture space through the learner terminal can be printed out. Through this, the personalized lecture space providing unit 390 may not provide a common lecture space, but may provide a lecture space with a different appearance for each learner.

The personalized lecture space providing unit 390 provides a set number of lecture space templates corresponding to the learner's industry or job, a certain number of lecture space templates in the order of the learner's frequency of use, and a certain number of lecture space templates in the order of the highest number of uses by other learners. It is possible to provide at least one of the lecture space templates to the learner terminal, and to generate and output the lecture space template selected by the learner from among the provided lecture space templates as the learner's personalized lecture space.

For example, the personalized lecture space providing unit 390 may create a virtual lecture space with an industrial lecture space template included in the profile information of the learner who requested the personalized lecture space and provide it to the learner terminal. In addition, the personalized lecture space providing unit 390 may provide a frequently used lecture space template list to the learner terminal so that a frequently used lecture space template can be selected based on the lecture space template use history of the learner who requested the personalized lecture space, A virtual lecture space can be created with the lecture space template selected by the learner and provided to the learner terminal. In addition, the personalized lecture space providing unit 390 provides a list of lecture space templates to the learner terminal in the order that other learners use it frequently, and generates a lecture space template selected by the learner as a virtual lecture space and provides it to the learner terminal. there is.

The personalized lecture space providing unit 390 may output a personalized virtual lecture space for each learner.

Meanwhile, the authentication unit 340 , the virtual lecture space generation unit 350 , the virtual avatar generation unit 360 , the metaverse management unit 370 , the behavior recognition unit 380 , the personalized lecture space providing unit 390 , and the lecture The space template generator 400 may be implemented by a processor or the like required to execute a program on a computing device. As such, the authentication unit 340, the virtual lecture space generation unit 350, the virtual avatar generation unit 360, the metaverse management unit 370, the behavior recognition unit 380, the personalized lecture space providing unit 390, and the lecture space The template generator 400 may be implemented by each physically independent configuration, or may be implemented in a form that is functionally divided within one processor.

The control unit 410 includes a communication unit 310 , a storage unit 320 , a database 330 , an authentication unit 340 , a virtual lecture space generation unit 350 , a virtual avatar generation unit 360 , and a metaverse management unit 370 . , an action recognition unit 380 , a personalized lecture space providing unit 390 , and a lecture space template generating unit 400 for controlling operations of various components of the service server 300 , at least one computing device may include, wherein the arithmetic unit may be a general-purpose central processing unit (CPU), a programmable device device (CPLD, FPGA) implemented appropriately for a specific purpose, an application-specific integrated circuit (ASIC), or a microcontroller chip. In addition, it can be understood by those of ordinary skill in the art to which this embodiment pertains that it may be implemented in other types of hardware.

4 is a view for explaining a method of generating a virtual lecture space for learning in a metaverse space according to an embodiment of the present invention.

Referring to FIG. 4 , the service server receives and stores course registration information of a first lecture from a plurality of learner terminals ( S410 ).

Then, when the lecture time of the first lecture comes ( S420 ), the service server 300 creates a virtual first lecture space based on the profile information of the learners who have applied for the first lecture ( S430 ). In this case, the service server 300 may analyze the profile information of the learners who have applied for the first lecture to identify at least one of the industry and the job of each learner. Then, the service server 300 extracts at least one lecture space template corresponding to the industries and jobs of the learners from the lecture space template database 335, and uses the extracted lecture space template to create a virtual first lecture space. can create

When step S430 is performed, the service server 300 outputs virtual avatars of instructors and learners who enter the virtual first lecture space to the virtual first lecture space (S440).

Meanwhile, the learner may want to change the virtual first lecture space into a lecture space of the learner's personal preference. Accordingly, the learner terminal 200 receives the personalized lecture space request signal from the learner and transmits it to the service server 300 . The personalized lecture space request signal may include learner identification information and the like. The service server 300 generates a lecture space template recommendation list based on at least one of the learner's industry and job, the learner's lecture space template use history, and other learners' lecture space template use histories, and recommends the lecture space template. The list may be provided to the learner terminal. Then, the learner can select a desired lecture space template from the recommended lecture space template list. When the learner selects a desired lecture space template, the service server 300 may transmit lecture space selection information to the service server 300 . The service server 300 may generate the lecture space template selected by the learner from the lecture space template recommendation list as the learner's personalized lecture space, and output the created personalized lecture space through the learner terminal. In this case, the personalized lecture space may be output only to the learner's terminal of the corresponding learner and not to the terminals of other learners.

As described above, in the method and apparatus for creating a virtual lecture space for learning in the metaverse according to an embodiment of the present invention, when a lecture (class) of a specific content is conducted in a virtual space, based on the learner's profile information Thus, by automatically creating a lecture space, it is possible to increase learners' participation in education and immersion in learning.

A method and apparatus for generating a virtual lecture space for learning in a metaverse according to an embodiment of the present invention provide a virtual lecture space in which each learner's individual taste is reflected in the course of a lecture, thereby allowing learners to participate in education degree, interest, and communication can be increased.

Although the present invention has been described with reference to the embodiment shown in the drawings, this is merely an example, and those skilled in the art to which various modifications and equivalent other embodiments are possible. will understand Accordingly, the true technical protection scope of the present invention should be defined by the following claims.

100: instructor terminal
200: learner terminal
300 : service server
310: communication department
320: storage
330: database
340: authentication unit
350: virtual lecture space generation unit
360: virtual avatar generator
370: metaverse management unit
380: action recognition unit
390: Personalized lecture space provision unit
400: lecture space template generation unit
410: control unit

Claims (12)

generating, by the device, a virtual first lecture space based on profile information of learners who have applied for taking the first lecture; and
and generating, by the device, virtual avatars of instructors and learners entering the virtual first lecture space, respectively, and outputting them to the virtual first lecture space,
In the step of creating the virtual first lecture space,
The device counts the number of learners for each industry for learners who have applied for the first lecture, and if there is an industry with a first ratio or higher among the counted number of learners for each industry, it corresponds to the industry from the database to obtain a lecture space template to create the virtual first lecture space,
If there is an industry that is less than the first ratio and greater than or equal to a preset second ratio among the counted number of learners by industry, at least one item is obtained from the lecture space template corresponding to the industry from the database, and the obtained items are A method of generating a virtual lecture space for learning in a metaverse, characterized in that by synthesizing the first virtual lecture space.
According to claim 1,
Before the step of creating the virtual first lecture space,
The method of generating a virtual lecture space for learning in the metaverse, characterized in that the apparatus further comprises the step of generating, by the apparatus, a lecture space template for at least one of each industry and each job, and storing the template in the database.
3. The method of claim 2,
The step of creating the first virtual lecture space comprises:
analyzing, by the device, profile information of learners who have applied for the first lecture to identify at least one of industries and jobs of each learner; and
extracting, by the apparatus, at least one lecture space template corresponding to the industries and jobs of the learners from the database, and generating the virtual first lecture space using the extracted lecture space template A method of creating a virtual lecture space for learning in the metaverse characterized by its features.
delete According to claim 1,
In the step of creating the virtual first lecture space,
The device counts the number of learners for each job when there is no industry with the second ratio or higher among the counted number of learners by industry, and when there is a job with the first ratio or higher among the counted number of learners for each job , obtain a lecture space template corresponding to the job from the database and create the virtual first lecture space,
If there is a job that is less than the first ratio and greater than or equal to the second ratio among the number of learners for each job, at least one item is acquired from the lecture space template corresponding to the job from the database, and the acquired items are synthesized to A method of creating a virtual lecture space for learning in a metaverse, characterized in that the first virtual lecture space is created.
6. The method of claim 5,
Upon receiving the request for personalized lecture space from the learner terminal, the device generates a lecture space template recommendation list based on at least one of the learner's industry and job, the learner's lecture space template use history, and other learners' lecture space template use histories generating, providing the lecture space template recommendation list to the learner terminal, and generating the lecture space template selected by the learner from the lecture space template recommendation list as the learner's personalized lecture space to be output through the learner terminal A virtual lecture space creation method for learning in the metaverse, characterized in that it further comprises a step.
a virtual lecture space generator for generating a virtual first lecture space based on profile information of learners who have applied for taking the first lecture;
a virtual avatar generator for generating virtual avatars of instructors and learners entering the virtual first lecture space, respectively; and
A metaverse management unit for outputting the virtual avatars of the instructors and learners to the virtual first lecture space,
The virtual lecture space generation unit,
The number of learners for each industry is counted for learners who have applied for the first lecture, and if there is an industry with a first ratio or higher among the counted number of learners for each industry, a lecture space template corresponding to the industry is obtained from the database to obtain and create the virtual first lecture space,
If there is an industry that is less than the first ratio and greater than or equal to a preset second ratio among the counted number of learners by industry, at least one item is obtained from the lecture space template corresponding to the industry from the database, and the obtained items are A virtual lecture space generating apparatus for learning in a metaverse, characterized in that by synthesizing the virtual first lecture space.
8. The method of claim 7,
The virtual lecture space creation apparatus for learning in the metaverse, characterized in that it further comprises a lecture space template generator for generating a lecture space template for at least one of industry and job-specific and storing it in the database.
8. The method of claim 7,
The virtual lecture space generation unit,
By analyzing the profile information of the learners who have applied for the first lecture, at least one of the industries and jobs of each learner is identified, and at least one lecture space template corresponding to the industries and jobs of the learners is extracted from the database, A virtual lecture space generating apparatus for learning in a metaverse, characterized in that the first virtual lecture space is created by using the extracted lecture space template.
delete 8. The method of claim 7,
The virtual lecture space generation unit,
If there is no industry with the second ratio or higher among the counted number of learners by industry, the number of learners for each job is counted. Obtaining a lecture space template corresponding to the job and creating the virtual first lecture space,
If there is a job that is less than the first ratio and greater than or equal to the second ratio among the number of learners for each job, at least one item is acquired from the lecture space template corresponding to the job from the database, and the acquired items are synthesized to A virtual lecture space generating apparatus for learning in the metaverse, characterized in that the first virtual lecture space is created.
8. The method of claim 7,
When receiving a request for a personalized lecture space from a learner terminal, generating a lecture space template recommendation list based on at least one of the learner's industry and job, the learner's lecture space template use history, and other learners' lecture space template use histories, A personalized lecture space that provides the lecture space template recommendation list to the learner terminal, and generates a lecture space template selected by the learner from the lecture space template recommendation list as the learner's personalized lecture space and outputs it through the learner terminal A virtual lecture space generating device for learning in the metaverse, characterized in that it further comprises a providing unit.

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