JP2019152761A - Foreign language learning support system, foreign language learning support method and foreign language learning support program - Google Patents

Abstract

To enable a user to learn in a learning process as the same process of a native speaker.SOLUTION: A foreign language learning support system includes: a storage section for storing virtual reality material data which is data to create an environment by virtual reality and scenario material data which is a story enabling a user to experience in the environment created by the virtual reality; a data generation section for content generation for generating data for content generation which is data to generate a content for enabling the user to learn a foreign language on the basis of the virtual reality material data and scenario material data stored in the storage section; and a derivation section for deriving a personality growth degree which is a sensitivity growth level of the user responding with the foreign language on the basis of biological information acquired while the user experiences the content. The data generation section for content generation generates the data for content generation further on the basis of the personality growth degree.SELECTED DRAWING: Figure 2

Description

  Embodiments described herein relate generally to a foreign language acquisition support system, a foreign language acquisition support method, and a foreign language acquisition support program.

In general, the following mechanisms are used to acquire foreign languages such as English.
・ Education of teaching materials such as arrangement of learning contents according to the current level of students ・ Teaching of teachers such as communication by skilled instructors and trainers ・ Create a foreign language-only environment, increase conversation opportunities, etc. Contriving the environment For language learning methods, create a virtual environment for collaborative learning and communication using a computer program. Based on the type of language and language level, it is restricted to foreign language ability, and communication such as language level mismatch. There is a technology that improves the language learner's ability to speak, listen, and read and write in the above language by enabling students to learn words, grammar, and grammar in the above language from beginner to advanced level without any obstacles. (For example, refer to Patent Document 1).

JP 2004-4679 A

All of the mechanisms implemented in the acquisition of foreign languages such as English are of the type that encourages students to speak a foreign language to resemble the native language of the foreign language. This mechanism is an act that encourages students to work as close as possible to a place that is never reachable, and is very cost-effective.
In view of the above circumstances, the present invention provides a foreign language acquisition support system, a foreign language acquisition support method, and a foreign language acquisition support program that allow a user to learn a foreign language in the same process as a native learning process. With the goal.

  One aspect of the present invention is a storage unit that stores virtual reality material data that is data for creating an environment by virtual reality, and scenario material data that is a story that a user experiences in an environment created by virtual reality; Content generation for generating data for generating content that is data for generating content for allowing the user to learn a foreign language based on the virtual reality material data and the scenario material data stored in the storage unit Based on biometric information acquired while the user is experiencing the content and the data generation unit, the user derives a personality growth level that is a sensitivity growth level corresponding to the foreign language A data generation unit for content generation. , Further based on the personality growth frequency, to generate the next content generation for the data, it is a foreign language learning support system.

  One aspect of the present invention is the foreign language acquisition support system described above, which includes a virtual reality content generation unit that generates virtual reality content to be provided to the user based on the content generation data.

  One aspect of the present invention is the foreign language acquisition support system, wherein the storage unit stores a plurality of virtual reality material data and scenario material data, and the content generation data generation unit is the derivation unit. Based on the personality growth degree derived from the virtual reality material data stored in the storage unit and a plurality of scenario material data, virtual reality material data provided to the user, scenario material data, , And content generation data is generated based on the extracted virtual reality material data and scenario material data.

  One aspect of the present invention is the foreign language acquisition support system described above, wherein the derivation unit is acquired while the user using the auxiliary device according to the personality growth degree is experiencing the content. The personality growth frequency is derived based on the biological information.

  One aspect of the present invention is the foreign language acquisition support system described above, wherein the derivation unit is based on a moving image captured and sound recorded while the user is experiencing the content. Deriving the personality growth rate.

  One aspect of the present invention is the foreign language acquisition support system, wherein the derivation unit is based on biometric information acquired while the user is viewing the video and the audio. Deriving the growth frequency.

  One aspect of the present invention is a foreign language acquisition support method executed by a computer, which is virtual reality material data that is data for creating an environment by virtual reality, and a story that a user experiences in an environment created by virtual reality And generating the content generation data, which is data for generating content for allowing the user to learn a foreign language, based on the scenario material data, and the user is experiencing the content. Based on the biometric information acquired in the meantime, the user derives the personality growth level that is the sensitivity growth level corresponding to the foreign language, and further based on the personality growth level, for the next content generation Foreign language acquisition support method comprising the step of generating data It is.

  Based on virtual reality material data, which is data for creating an environment with virtual reality, and scenario material data, which is a story that the user experiences in the environment created by virtual reality, the user is taught a foreign language. Generating content generation data that is data for generating content to be generated, and based on biometric information acquired while the user is experiencing the content, the user A foreign language acquisition support program that executes a step of deriving a personality growth level which is a growth level of sensibility corresponding to words and a step of generating data for the next generation of content based further on the personality growth level .

  According to the embodiment of the present invention, it is possible to provide a foreign language acquisition support system, a foreign language acquisition support method, and a foreign language acquisition support program that allow a user to learn a foreign language in the same process as a native learning process.

It is a figure showing an example of foreign language acquisition support system 10 of an embodiment. It is a block diagram which shows an example of the content production | generation server 100, the content output device 200, the output terminal 300, and the output terminal 300a which are contained in the foreign language acquisition assistance system 10 of embodiment. It is a sequence diagram which shows an example (the 1) of operation | movement of the foreign language acquisition assistance system 10 of embodiment. It is a sequence diagram which shows an example (the 2) of operation | movement of the foreign language acquisition assistance system 10 of embodiment. It is a data flow figure showing an example of operation of foreign language acquisition support system 10 of an embodiment.

Next, the foreign language acquisition support system, foreign language acquisition support method, and foreign language acquisition support program of this embodiment will be described with reference to the drawings. Embodiment described below is only an example and embodiment to which this invention is applied is not restricted to the following embodiment.
Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiments, and the repetitive description will be omitted.
Further, “based on XX” in the present application means “based on at least XX”, and includes a case based on another element in addition to XX. Further, “based on XX” is not limited to the case where XX is directly used, but also includes the case where it is based on an operation or processing performed on XX. “XX” is an arbitrary element (for example, arbitrary information).

(Embodiment)
(Foreign language acquisition support system)
FIG. 1 is a diagram illustrating an example of a foreign language acquisition support system 10 according to an embodiment.
The foreign language learning support system 10 of the embodiment includes a content generation server 100, a content output device 200, an output terminal 300, an auxiliary instrument 350, a sensor 400, and an output terminal 300a. The content generation server 100, the content output device 200, and the output terminal 300a are connected by wire or wireless via a network 50 such as the Internet. The content output device 200 and the output terminal 300 are connected via a network such as a wireless LAN.
The content output device 200, the output terminal 300, the auxiliary instrument 350, and the sensor 400 are installed in a facility 60 such as a foreign language classroom. Hereinafter, as an example of a foreign language, the description of the case of English will be continued.

When it is assumed that the user (student) is going to have a second life in English, questionnaires and interviews are conducted regarding requests such as home environment, learning direction, and preferences. The operator of the foreign language acquisition support system 10 inputs a questionnaire or a hearing result to the content generation server 100.
The content generation server 100 selects virtual reality (VR) material data and scenario material data based on a questionnaire input by the operator and a result of the hearing. A large number of virtual reality material data and scenario material data are prepared in advance assuming various situations.
The content generation server 100 generates life reproduction content generation data from the selected virtual reality material data and scenario material data. Here, the virtual reality material data is data representing a material (environment) created by the virtual reality. Virtual reality is a technology that creates an artificial environment using a computer and makes it feel as if it is present through the user's five senses. It is also called virtual reality or artificial reality. An example of virtual reality is an environment for allowing a user to re-experience life from an early age. The scenario material data is data (environment) created by virtual reality and represents data of a story that allows the user to experience using a foreign language (English). The life reproduction content generation data is data for generating content for allowing the user to re-experience life from an early age. The user ID, the virtual reality material data, the scenario material data, and the user ID And lesson date / time information and an instructor ID. The content generation server 100 stores the generated life reproduction content generation data.

  English lessons are held at facility 60. Prior to the start of the English lesson, the content output device 200 is activated. The content output device 200 is connected to the content generation server 100 via the network 50. The content output apparatus 200 requests the content generation server 100 for data for generating the life reproduction content of the user who takes the lesson. The content generation server 100 transmits the user life reproduction content generation data requested by the content output device 200 to the content output device 200. The life reproduction content generation data transmitted by the content generation server 100 is transmitted to the content output device 200 via the network 50.

The content output device 200 receives the life reproduction content generation data transmitted from the content generation server 100, and from the received life reproduction content generation data, a virtual reality content (hereinafter referred to as “VR content”), a lecturer script, Is generated. VR content is actually graphics and sounds that a user sees and hears in an environment created by virtual reality. The instructor script is used by the instructor from time to time to confirm with the user as the lesson progresses. The instructor script includes a timeline, a script manuscript, an action instruction, and the like based on scenario material data. The content output device 200 transmits the generated VR content to the output terminal 300. The instructor obtains the instructor script generated by the content output device 200.
The output terminal 300 receives the VR content transmitted by the content output device 200. The output terminal 300 is realized by a wearable computer such as a virtual reality headset or a head-mounted display (HMD). The output terminal 300 executes (reproduces) the received VR content. A user wearing the output terminal 300 sees graphics, listens to sounds, touches things, tastes food, or feels smell in an environment created by virtual reality. The instructor gives an action instruction to the user in accordance with the instructor script acquired from the content output device 200.

  The user wears the output terminal 300, and the output terminal 300 executes the VR content. The user re-experiences life from early childhood by recognizing the environment created by virtual reality and receiving instructions from the instructor. In order for users to re-experience life from early childhood, in addition to visual effects and dialogue, the instructor will allow the user to use assistive devices to physically reproduce the behavioral limitations inherent in the child's age. Instruct use. Here, behavior restrictions specific to the age of children include short stature, weakness, and lack of money. In addition, when the user re-experiences life from early childhood, the instructor is able to recognize the taste that is perceived according to the taste of cooking, the tactile that is perceived when touching a cold object, etc. In some cases, it is instructed to use an auxiliary device that reproduces or imparts the above. In this way, by allowing the user to use the auxiliary device together, the effect of the user re-experiencing life from early childhood can be enhanced.

The output terminal 300 is equipped with a measuring device such as an electroencephalogram sensor and a pulse sensor, and the user is re-experiencing life from early childhood and after being re-experienced by the implemented measuring device such as an electroencephalogram sensor and a pulse sensor. Biological information such as brain wave and pulse is obtained. The output terminal 300 transmits the acquired biological information such as the brain wave and pulse of the user to the content generation server 100.
The sensor 400 acquires a reaction result while the user is re-experiencing life from an early age and after the re-experience, and transmits the acquired reaction result to the content generation server 100. Specifically, the sensor 400 includes an imaging device, a microphone, and the like. The sensor 400 captures a video while the user re-experiences life from early childhood and after re-experience, records voice, and displays a reaction result including the captured video and the recorded voice as content. It transmits to the generation server 100. The content generation server 100 stores the reaction result transmitted by the sensor 400.

In addition, if the instructor was able to respond or responded while re-experiencing life from early childhood, the result of instructor judgment is a subjective evaluation such as the response speed of the response. Create The instructor determination result created by the instructor is input to the content generation server 100.
The output terminal 300a is used by a user who has taken a lesson to refute the contents of the lesson. The content generation server 100 transmits information for sounding an alarm to the output terminal 300a at a predetermined cycle after the lesson ends. The output terminal 300a receives the information that sounds the alarm transmitted from the content generation server 100, and notifies the user that the lesson content is rebutted according to the received information that sounds the alarm. When the user refutes the lesson content, the user performs an operation to reproduce the reciprocal moving image and sound. When the output terminal 300a is operated to reproduce the video and audio for rumination, the output terminal 300a transmits reproduction information, which is information for reproducing the video and audio, to the content generation server 100. . The content generation server 100 receives the reproduction information transmitted by the output terminal 300a, and transmits information representing a moving image and sound to the output terminal 300a according to the received reproduction information.

The user wears the output terminal 300a. As the output terminal 300a reproduces the moving image and the sound, the user evokes or refutes the lesson experience.
The output terminal 300a is equipped with a measuring device such as an electroencephalogram sensor and a pulse sensor, and the user can wake up the lesson experience by viewing the video and audio with the measuring device such as the electroencephalogram sensor and the pulse sensor. Biological information such as an electroencephalogram and a pulse during the period is acquired. The output terminal 300 a transmits the acquired biological information such as the brain wave and pulse of the user to the content generation server 100.
The content generation server 100 responds in English based on the biological information transmitted by the output terminal 300, the reaction result transmitted by the sensor 400, the instructor determination result acquired from the instructor, and the biological information transmitted by the output terminal 300a. Deriving the personality growth frequency that is the growth level of sensibility. The content generation server 100 selects virtual reality material data and scenario material data based on the derived personality growth degree. The content generation server 100 generates (next) life reproduction content generation data from the selected virtual reality material data and scenario material data.
Hereinafter, the content generation server 100, the content output device 200, the output terminal 300, and the output terminal 300a constituting the foreign language learning support system 10 will be described.

(Content generation server 100)
FIG. 2 is a block diagram illustrating an example of the content generation server 100, the content output device 200, the output terminal 300, and the output terminal 300a included in the foreign language acquisition support system 10 of the embodiment. The content generation server 100 will be described with reference to FIG.
The content generation server 100 is realized by a device such as a personal computer, a server, a smartphone, a tablet computer, or an industrial computer.
The content generation server 100 includes, for example, a communication unit 110, an input unit 120, an information processing unit 130, and a storage unit 140.
The communication unit 110 is realized by a communication module. The communication unit 110 communicates with an external communication device via the network 50. The communication unit 110 may perform communication using a communication method such as a wireless local area network (LAN), a wired LAN, Bluetooth (registered trademark), or LTE (Long Term Evolution) (registered trademark). The communication unit 110 receives a life reproduction content generation data request, which is a signal for requesting life reproduction content generation data transmitted by the content output device 200, and receives the received life reproduction content generation data request as the information processing unit 130. Output to. The communication unit 110 acquires the life reproduction content generation data output by the information processing unit 130 in response to the life reproduction content generation data request, and transmits the acquired life reproduction content generation data to the content output device 200. . In addition, the communication unit 110 receives the reaction result transmitted by the sensor 400 and outputs the received reaction result to the information processing unit 130. In addition, the communication unit 110 receives the biological information transmitted by the output terminal 300 and outputs the received biological information to the information processing unit 130.
In addition, the communication unit 110 transmits information for sounding the alarm output from the information processing unit 130 to the output terminal 300a. In addition, the communication unit 110 receives the moving image reproduction information transmitted from the output terminal 300 a and outputs the received moving image reproduction information to the information processing unit 130. Further, the communication unit 110 transmits information representing the moving image output by the information processing unit 130 to the output terminal 300a. In addition, the communication unit 110 receives the biological information transmitted from the output terminal 300 a and outputs the received biological information to the information processing unit 130.

The input unit 120 is configured using an input device such as a touch panel, a mouse, and a keyboard. The input unit 120 outputs information input using the input device to the information processing unit 130. The input unit 120 may be an interface for connecting the input device to the content generation server 100. In this case, the input unit 120 generates input data (for example, instruction information indicating an instruction for the content generation server 100) from the input signal input to the input device, and inputs the input data to the content generation server 100.
Specifically, user initial data is input to the input unit 120, and the input initial data is output to the information processing unit 130. Here, an example of initial data is acquired through a questionnaire or interviews with the user. Specifically, when it is assumed that the user will have a second life in English, a questionnaire and interviews are conducted regarding requests such as home environment, learning direction, and preferences. The input unit 120 acquires a questionnaire or a hearing result as initial data. For example, as an example of the home environment, living in Chiba, a family living in a 3LDK apartment, two children, a man, a father working for an IT company, annual income of 8 million, leaving home at 8 o'clock and returning home at 22 o'clock, a mother as a full-time housewife, My hobbies are using smartphones to get information on Disney Tsum Tsum and cooking, and participating in the local mom community. In addition, as an example of the direction of acquisition, information indicating that the immediate goal is to have a level of communication that does not impede daily life when you are stationed overseas. Information indicating that the business talk is aimed to be acquired is acquired. As an example of preference, information indicating favorite food is acquired.
In addition, the instructor determination result created by the instructor is input to the input unit 120, and the input instructor determination result is output to the information processing unit 130.

  The storage unit 140 is realized by, for example, a random access memory (RAM), a read only memory (ROM), a hard disk drive (HDD), a flash memory, or a hybrid storage device in which a plurality of these are combined. Instead of the case where part or all of the storage unit 140 is provided as a part of the content generation server 100, a processor of the content generation server 100 such as a NAS (Network Attached Storage) or an external storage server via the network 50 may be used. It may be realized by an accessible external device. The storage unit 140 includes a program executed by the information processing unit 130, initial data output from the input unit 120, a reaction result transmitted by the sensor 400, a VR material data DB 150, a scenario material data DB 160, and personality growth. A degree determination list 170, a life reproduction content generation data DB 180, and a moving image DB 190 are stored.

The VR material data DB 150 stores a plurality of virtual reality material data, which are data representing materials (environments) created by virtual reality. Specifically, the virtual reality material data is data for creating an environment assumed to be experienced by humans according to the growth process from the early childhood. For example, one example of VR material data is data for creating a child's room, data for creating a kitchen, data for creating a park, and data for creating a shop.
The scenario material data DB 160 stores a plurality of scenario material data, which are materials (situations) created by virtual reality and that represent the material of a story that a user can experience using a foreign language (English).
The personality growth degree determination list 170 is a list used for deriving the personality growth degree, which is a sensitivity growth level corresponding to English. The personality growth degree determination list 170 qualitatively analyzes the personality growth degree, and defines the analysis results for each of the biological information, the sound, the moving image, and the instructor determination result of the instructor. For example, the personality growth degree is classified into growth degree 1, growth degree 2,. Here, the growth degree 1 is a level at which the intention is transmitted although the word is not accurate. The growth degree 2 is a level at which one word can be accurately expressed to some extent, but two words cannot be connected. As the growth frequency increases from the growth frequency 1, the growth level of the sensitivity corresponding to English increases.
The life reproduction content generation data DB 180 stores life reproduction content generation data. As described above, the life reproduction content generation data includes virtual reality material data, scenario material data, a user ID, lesson date information, and an instructor ID.
The moving image DB 190 stores the moving image and sound included in the reaction result transmitted by the output terminal 300 in association with the user ID.

The information processing unit 130 is a functional unit (hereinafter referred to as a software functional unit) realized by a processor such as a CPU (Central Processing Unit) executing a program stored in the storage unit 140, for example. Note that all or part of the information processing unit 130 may be realized by hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable Gate Array). It may be realized by a combination of a unit and hardware.
The information processing unit 130 includes, for example, an acquisition unit 132, a generation unit 134, a derivation unit 136, and a processing unit 138.
The acquisition unit 132 acquires the initial data output from the input unit 120, and outputs the acquired initial data to the storage unit 140 and also to the generation unit 134. In addition, the acquisition unit 132 acquires the life reproduction content generation data request output from the communication unit 110, and based on the acquired life reproduction content generation data request, the life reproduction content generation data stored in the storage unit 140 is acquired. Of the life reproduction content generation data included in the data DB 180, the life reproduction content generation data corresponding to the user ID included in the life reproduction content generation data request is acquired, and the acquired life reproduction content generation data is communicated. Output to the unit 110.
Further, the acquisition unit 132 acquires the biological information output by the communication unit 110 and outputs the acquired biological information to the derivation unit 136. Further, the acquisition unit 132 acquires the reaction result output from the communication unit 110 and outputs the acquired reaction result to the derivation unit 136. In addition, the acquisition unit 132 acquires the lecturer determination result output by the input unit 120 and outputs the acquired lecturer determination result to the generation unit 134.
In addition, the acquisition unit 132 acquires the biological information transmitted from the output terminal 300 a output from the communication unit 110 and outputs the acquired biological information to the derivation unit 136. Further, the acquisition unit 132 acquires the reproduction information output from the communication unit 110 and outputs the acquired reproduction information to the processing unit 138.

The generation unit 134 acquires the initial data output by the acquisition unit 132, and performs a condition search on the VR material data DB 150 and the scenario material data DB 160 based on the acquired initial data. In each of the plurality of virtual reality material data included in the VR material data DB 150, keywords used in the condition search are set in advance. The generation unit 134 extracts virtual reality material data hit from a plurality of virtual reality material data included in the VR material data DB 150.
In addition, keywords used in the condition search are set in advance in each of the plurality of scenario material data included in the scenario material data DB 160. The generation unit 134 extracts scenario material data hit from the scenario material data included in the scenario material data DB 160.
The generation unit 134 generates life reproduction content generation data based on the extracted virtual reality material data and scenario material data. The generation unit 134 stores the generated life reproduction content generation data in the life reproduction content generation data DB 180 of the storage unit 140.

  The derivation unit 136 includes one or both of the instructor determination result output from the input unit 120, the biological information transmitted from the output terminal 300 output from the acquisition unit 132 and the biological information transmitted from the output terminal 300a, and the reaction result. And the personality growth degree is derived based on the obtained lecturer determination result, biometric information, and reaction result. Specifically, the derivation unit 136 stores English native biological information. The deriving unit 136 compares one or both of the biological information transmitted by the output terminal 300 output from the acquiring unit 132 and the biological information transmitted by the output terminal 300a with the stored native English biological information. The personality growth degree is derived based on the comparison result, the lecturer determination result, and the reaction result. In this case, the derivation unit 136 includes one or both of the biological information transmitted from the output terminal 300 output from the acquisition unit 132 and the biological information transmitted from the output terminal 300a, and the stored native English biological information. The degree of personality growth is derived based on the derived degree of similarity. For example, when the electroencephalogram is used as the biological information, the deriving unit 136 calculates the similarity of the activated part and derives the personality growth frequency based on the derived similarity. May be. The deriving unit 136 outputs information indicating the derived personality growth degree to the generating unit 134.

The generation unit 134 acquires information indicating the personality growth frequency output by the deriving unit 136, and performs a condition search on the VR material data DB 150 and the scenario material data DB 160 based on the acquired personality growth frequency. The generation unit 134 extracts VR material data suitable for the personality growth degree from a plurality of virtual reality material data included in the VR material data DB 150. The generation unit 134 extracts scenario material data suitable for the personality growth degree from a plurality of scenario material data included in the scenario material data DB 160. The generation unit 134 generates (next) life reproduction content generation data based on the extracted VR material data and scenario material data. The generation unit 134 stores the generated life reproduction content generation data in the storage unit 140.
The processing unit 138 generates information for sounding the alarm at a predetermined cycle after the lesson ends, and outputs the information for sounding the generated alarm to the communication unit 110. Based on the user ID included in the reproduction information output from the communication unit 110, the processing unit 138 acquires the moving image and sound stored in association with the user ID from the moving image DB 190 of the storage unit 140. The processing unit 138 outputs information representing the acquired moving image and audio to the communication unit 110.

(Content Output Device 200)
The content output apparatus 200 will be described with reference to FIG.
The content output device 200 is realized by a device such as a personal computer, a server, a smartphone, a tablet computer, or an industrial computer.
The content output device 200 includes, for example, a communication unit 210, an information processing unit 230, and a storage unit 240.
The communication unit 210 is realized by a communication module. The communication unit 210 communicates with an external communication device via the network 50. The communication unit 210 may communicate with a communication method such as a wireless LAN, a wired LAN, Bluetooth, or LTE. The communication unit 210 transmits the life reproduction content generation data request output from the information processing unit 230 to the content generation server 100. Further, the communication unit 210 receives the life reproduction content generation data transmitted by the content generation server 100 in response to the transmitted life reproduction content generation data request, and transmits the received life reproduction content generation data to the information processing unit. 230.
Further, the communication unit 210 transmits the VR content output from the information processing unit 230 to the output terminal 300.

  The storage unit 240 is realized by, for example, a RAM, a ROM, an HDD, a flash memory, or a hybrid storage device in which a plurality of these are combined. Instead of being provided as a part of the content output device 200, a part or all of the storage unit 240 is an external device that can be accessed via the network 50 by the processor of the content output device 200, such as a NAS or an external storage server. May be realized. The storage unit 240 stores a program executed by the information processing unit 230.

The information processing unit 230 is a software function unit that is realized by a processor such as a CPU executing a program stored in the storage unit 240, for example. Note that all or part of the information processing unit 230 may be realized by hardware such as LSI, ASIC, or FPGA, or may be realized by a combination of a software function unit and hardware.
The information processing unit 230 includes, for example, an acquisition unit 232 and a generation unit 234.
The acquisition unit 232 generates a life reproduction content generation data request, and outputs the generated life reproduction content generation data request to the communication unit 210. The life reproduction content generation data request includes the user ID of the user who takes the lesson. Further, the acquisition unit 232 acquires the life reproduction content generation data output by the communication unit 210 in response to the life reproduction content generation data request output to the communication unit 210, and the acquired life reproduction content generation data is The data is output to the generation unit 234.

  The generation unit 234 acquires the life reproduction content generation data output by the acquisition unit 232, and based on the virtual reality material data and the scenario material data included in the acquired life reproduction content generation data, VR content, Generate a teacher script. The generation unit 234 outputs the generated VR content to the communication unit 210. The generation unit 234 provides the generated instructor script to the instructor. Specifically, the generation unit 234 outputs information representing the instructor script to the communication unit 210, and the communication unit 210 has terminal information that the instructor possesses information representing the instructor script output from the generation unit 234. You may make it transmit to (not shown). The generation unit 234 may output information representing the instructor script to the image forming apparatus, and the image forming apparatus may print the instructor script output from the generation unit 234. Then, the instructor obtains the printed instructor script.

(Output terminal 300)
The output terminal 300 will be described with reference to FIG.
The output terminal 300 is realized by a wearable computer such as a virtual reality headset or a head mounted display.
The output terminal 300 includes, for example, a communication unit 310, an information processing unit 330, and a storage unit 340.
The communication unit 310 is realized by a communication module. The communication unit 310 communicates with an external communication device via the network 50. The communication unit 310 may communicate with a communication method such as a wireless LAN, a wired LAN, Bluetooth, or LTE. The communication unit 310 receives the VR content transmitted by the content output device 200 and outputs the received VR content to the information processing unit 330. In addition, the communication unit 310 transmits biometric information including the user ID output by the information processing unit 330 to the content generation server 100.

  The storage unit 340 is realized by, for example, a RAM, a ROM, an HDD, a flash memory, or a hybrid storage device in which a plurality of these are combined. A part or all of the storage unit 340 is realized by an external device accessible by the processor of the output terminal 300 via the network 50, such as a NAS or an external storage server, instead of being provided as a part of the output terminal 300. May be. The storage unit 340 stores a program executed by the information processing unit 330.

The information processing unit 330 is a software function unit that is realized by a processor such as a CPU executing a program stored in the storage unit 340, for example. Note that all or part of the information processing unit 330 may be realized by hardware such as LSI, ASIC, or FPGA, or may be realized by a combination of a software function unit and hardware.
The information processing unit 330 includes, for example, an acquisition unit 332 and a processing unit 338.
The acquisition unit 332 acquires the VR content output from the communication unit 310 and outputs the acquired VR content to the processing unit 338. In addition, the acquisition unit 332 monitors the lesson status by acquiring biological information such as brain waves and pulses while the user re-experiences life from the early childhood, and acquires the acquired biological information together with the user ID. Information is output to the communication unit 310.
The processing unit 338 acquires the VR content output by the acquisition unit 332 and executes the acquired VR content, thereby creating an environment by virtual reality.

(Output terminal 300a)
The output terminal 300a will be described with reference to FIG.
The output terminal 300a is realized by a wearable computer such as a virtual reality headset or a head mounted display.
The output terminal 300a includes, for example, a communication unit 310a, an information processing unit 330a, and a storage unit 340a.
The communication unit 310a can apply the communication unit 310 of the output terminal 300. However, the communication part 310a receives the information which sounds the alarm which the content production | generation server 100 transmitted, and outputs the information which sounds the received alarm to the information processing part 330a. In addition, the communication unit 310a acquires the moving image reproduction information output from the information processing unit 330a, and transmits the acquired moving image reproduction information to the content generation server 100. Further, the communication unit 310a receives information representing the moving image transmitted by the content generation server 100, and outputs the information representing the received moving image to the information processing unit 330a. In addition, the communication unit 310 a transmits the biological information output from the information processing unit 330 a to the content generation server 100.

The storage unit 340 of the output terminal 300 can be applied to the storage unit 340a. However, the storage unit 340a stores a program executed by the information processing unit 330a.
The information processing unit 330a of the output terminal 300 can be applied to the information processing unit 330a. However, the information processing unit 330a includes, for example, an acquisition unit 332a and a processing unit 338a.
The acquisition unit 332a of the output terminal 300 can be applied to the acquisition unit 332a. However, the acquisition unit 332a acquires information for sounding the alarm output from the communication unit 310a, and outputs the information for sounding the acquired alarm to the processing unit 338a. In addition, the acquisition unit 332a performs monitoring by acquiring biometric information such as brain waves and pulses while the user is awakening the lesson experience by viewing the video and audio. The biological information is output to the communication unit 310a.
The processing unit 338 of the output terminal 300 can be applied to the processing unit 338a. However, the processing unit 338a acquires information that sounds the alarm output from the acquisition unit 332a, and notifies the user that the lesson content is rebutted according to the acquired information that sounds the alarm. When the user performs an operation of reproducing a moving image and sound, the processing unit 338a creates moving image reproduction information, and outputs the created moving image reproduction information to the communication unit 310a. The moving image reproduction information includes a user ID.

(Operation of foreign language acquisition support system)
Hereinafter, the operation of the foreign language acquisition support system 10 will be described with reference to FIGS.
FIG. 3 is a sequence diagram illustrating an example (part 1) of the operation of the foreign language acquisition support system 10 according to the embodiment.
FIG. 4 is a data flow diagram illustrating an example of the operation of the foreign language acquisition support system 10 according to the embodiment.
FIG. 5 is a sequence diagram illustrating an example (part 2) of the operation of the foreign language acquisition support system 10 according to the embodiment.
(Step S101)
The acquisition unit 132 of the content generation server 100 acquires initial data output from the input unit 120. As illustrated in FIG. 4, the acquisition unit 132 acquires the home environment d01, the learning direction d02, and the preference d03 as initial data. Returning to FIG. 3, the description will be continued.
(Step S102)
The generation unit 134 of the content generation server 100 performs condition analysis using the initial data, and performs a condition search on the VR material data DB 150 and the scenario material data DB 160 based on the condition analysis result. In addition, the generation unit 134 roughly estimates the total number of lessons and the total number of hours until all lessons are completed according to the target specified by the learning direction included in the initial data. The total amount of VR content to be executed for the user is determined based on the total number of lessons and the total number of hours estimated here. However, the number of lessons and the total number of hours are reference values because they vary depending on the user's own talents and efforts. As illustrated in FIG. 4, the generation unit 134 performs condition analysis based on the initial data. Based on the condition analysis result d04, the generation unit 134 performs a condition search by referring to a plurality of virtual reality material data included in the VR material data DB 150 and a plurality of scenario material data included in the scenario material data DB 160. Returning to FIG. 3, the description will be continued.

(Step S103)
The generation unit 134 of the content generation server 100 extracts virtual reality material data that is hit from a plurality of virtual reality material data included in the VR material data DB 150, and a scenario that is hit from a plurality of scenario material data included in the scenario material data DB 160. Extract material data. The generation unit 134 generates life reproduction content generation data based on the extracted virtual reality material data and scenario material data. The generation unit 134 stores the generated life reproduction content generation data in the storage unit 140. As shown in FIG. 4, the generation unit 134 extracts VR material data d05 that is hit from a plurality of VR material data included in the VR material data DB 150, and hits from a plurality of scenario material data included in the scenario material data DB 160. Scenario material data d06 to be extracted. The generation unit 134 generates life reproduction content generation data by editing the extracted VR material data and scenario material data. Returning to FIG. 3, the description will be continued.
(Step S104)
Connection processing is performed between the content output device 200 and the content generation server 100.
(Step S105)
The acquisition unit 232 of the content output apparatus 200 creates a life reproduction content generation data request, and outputs the created life reproduction content generation data request to the communication unit 210. The communication unit 210 transmits the life reproduction content generation data request output from the acquisition unit 232 to the content generation server 100.

(Step S106)
The communication unit 110 of the content generation server 100 receives the life reproduction content generation data request transmitted by the content output device 200 and outputs the received life reproduction content generation data request to the acquisition unit 132. The acquisition unit 132 acquires the life reproduction content generation data request output from the communication unit 110, and is stored in the life reproduction content generation data DB 180 of the storage unit 140 based on the acquired life reproduction content generation data request. Life reproduction content generation data corresponding to the user ID included in the life reproduction content generation data request is acquired from the plurality of life reproduction content generation data. The acquisition unit 132 outputs the acquired life reproduction content generation data to the communication unit 110. The communication unit 110 transmits the life reproduction content generation data output by the acquisition unit 132 to the content output device 200.
(Step S107)
The communication unit 210 of the content output apparatus 200 receives the life reproduction content generation data transmitted by the content generation server 100 and outputs the received life reproduction content generation data to the acquisition unit 232. The acquisition unit 232 acquires the life reproduction content generation data output from the communication unit 210, and outputs the acquired life reproduction content generation data to the generation unit 234. The generation unit 234 acquires the life reproduction content generation data output from the acquisition unit 232, and generates VR content and a lecturer script based on the acquired life reproduction content generation data. As shown in FIG. 4, the VR content includes a graphic d07 and a sound d08. The instructor script is composed of a scenario d09 and an auxiliary equipment use designation d10. Furthermore, the scenario d09 includes a timeline d11, a document d12, and an action instruction d13. In the auxiliary equipment use designation d10, an action instruction d13 is described. Returning to FIG. 3, the description will be continued.

(Step S108)
The generation unit 234 of the content output device 200 outputs the generated VR content to the communication unit 210. The communication unit 210 acquires the VR content output by the generation unit 234, and transmits the acquired VR content to the output terminal 300.
(Step S109)
The generation unit 234 of the content output device 200 provides the generated instructor script to the instructor.
(Step S110)
The output terminal 300 receives the VR content transmitted by the content output device 200 and executes (reproduces) the received VR content, thereby creating an environment with virtual reality. Lessons are started by creating an environment with virtual reality. Here, I will explain how to proceed with the lesson.
The user attaches the output terminal 300 and auxiliary equipment (apparatus for limiting physical ability and approaching a child) as necessary according to the instruction of the lecturer. The user starts the lesson by operating the output terminal 300 and entering an environment created with virtual reality. By adopting virtual reality, it is possible to increase the immersive feeling for reproducing the second life experience, rather than adopting augmented reality (AR) technology that displays the image in reality.

In an environment created with virtual reality, the instructor is displayed as an avatar, which is a character that is a part of the instructor. Hereinafter, the instructor's alternation displayed in an environment created by virtual reality is referred to as an instructor avatar. The teacher avatar performs a predetermined action according to the progress of the scenario. The instructor monitors the environment the user is viewing and manipulates the progress of the scenario. That is, the instructor proceeds with the scenario according to the instructor's script while keeping in mind the timing. The lecturer avatar interacts with the user according to the progress of the scenario. Specifically, the lecturer communicates with the user at any time by displaying a message or giving an instruction to the user when a supplementary explanation such as the use of an auxiliary device is necessary. The contents of the scenario (script) described in the instructor script will be specifically exemplified.
00:01 Take out the stuffed animal from the toy box. 00:05 Repeat “No, no, no!” Three times. 00: 05-00: 12 Auxiliary muscle arm is used at strength 6. No The user experience in a lesson that is adjusted with the participation of the instructor is called “life reproduction content”.

(Step S111)
The output terminal 300 monitors the lesson status. Specifically, the acquisition unit 332 of the output terminal 300 monitors lesson status by acquiring biological information such as brain waves and pulses while the user re-experiences life from an early childhood. The sensor 400 monitors the lesson status. Specifically, the sensor 400 acquires a reaction result while the user re-experiences life from an early age and after the re-experience. As shown in FIG. 4, the output terminal 300 acquires biological information such as an electroencephalogram, and the sensor 400 monitors the moving image d14 by recording it and recording the sound d15. Returning to FIG. 3, the description will be continued.
(Step S112)
The output terminal 300 ends the lesson and ends lesson status monitoring. The sensor 400 ends the lesson status monitoring. Shifting to FIG. 5, the description is continued.
(Step S113)
The acquisition unit 332 of the output terminal 300 outputs the acquired biological information to the communication unit 310 together with the user ID. The communication unit 310 transmits the biometric information (including the user ID) output by the acquisition unit 332 to the content generation server 100.
(Step S114)
The sensor 400 transmits a reaction result including the captured moving image, the recorded sound, and the user ID to the content generation server 100.

(Step S115)
The processing unit 138 of the content generation server 100 generates information for sounding the alarm and outputs the information for sounding the generated alarm to the communication unit 110. The communication unit 110 acquires information for sounding the alarm output from the processing unit 138, and transmits the information for sounding the acquired alarm to the output terminal 300a.
(Step S116)
The communication unit 310a of the output terminal 300a receives the information that sounds the alarm transmitted by the content generation server 100, and outputs the information that sounds the received alarm to the acquisition unit 332a. The acquisition unit 332a acquires information for sounding the alarm output from the communication unit 310a, and outputs the information for sounding the acquired alarm to the processing unit 338a. The processing unit 338a sounds an alarm according to the information for sounding the alarm output from the acquisition unit 332a. Here, the case where the user performs an operation of reproducing the moving image and the sound on the output terminal 300a in response to the alarm will be described. When the user does not perform an operation for reproducing the moving image and the sound on the output terminal 300a, the process ends. When the user performs an operation of reproducing a moving image and sound, the processing unit 338a creates reproduction information and outputs the created reproduction information to the communication unit 310a. The communication unit 310a transmits the reproduction information output from the processing unit 338a to the content generation server 100a.

(Step S117)
The communication unit 110 of the content generation server 100 receives the reproduction information transmitted by the output terminal 300a, and outputs the received reproduction information to the acquisition unit 132. The acquisition unit 132 acquires the reproduction information output from the communication unit 110 and outputs the acquired reproduction information to the processing unit 138. The processing unit 138 acquires the reproduction information output by the acquisition unit 132, and acquires a hit video and audio from the video DB 190 of the storage unit 140 based on the user ID included in the acquired reproduction information. The processing unit 138 outputs information representing the acquired moving image and audio to the communication unit 110. The communication unit 110 acquires information representing the moving image and sound output from the processing unit 138, and transmits the information representing the acquired moving image and sound to the output terminal 300a.
(Step S118)
The communication unit 310a of the output terminal 300a receives the information indicating the moving image and the sound transmitted from the content generation server 100, and outputs the received information indicating the moving image and the sound to the acquisition unit 332a. The acquisition unit 332a acquires information representing the moving image and sound output from the communication unit 310a, and outputs information representing the acquired moving image and sound to the processing unit 338a. The processing unit 338a acquires information representing the moving image and sound output from the obtaining unit 332a, and reproduces information representing the acquired moving image and sound.

(Step S119)
The output terminal 300a monitors the lesson status. Specifically, the acquisition unit 332a of the output terminal 300a acquires biological information such as an electroencephalogram and a pulse while the user re-experiences life from an early childhood by watching a video and audio. To monitor the lesson status.
(Step S120)
The output terminal 300a ends the lesson and ends the monitoring of the lesson status.
(Step S121)
The acquisition unit 332a of the output terminal 300a outputs the acquired biological information together with the user ID to the communication unit 310a. The communication unit 310a transmits the biometric information (including the user ID) output by the acquisition unit 332a to the content generation server 100a.

(Step S122)
The communication unit 110 of the content generation server 100 receives the biological information transmitted from the output terminal 300, the reaction result transmitted from the sensor 400, and the biological information output from the output terminal 300a. The communication unit 110 outputs the received biological information and reaction result to the acquisition unit 132. The acquisition unit 132 acquires the biological information and the reaction result output from the communication unit 110, and outputs the acquired biological information and the reaction result to the derivation unit 136.
The instructor determination result is input to the input unit 120 of the content generation server 100. The instructor determination result input to the input unit 120 is output to the derivation unit 136.
The derivation unit 136 acquires the instructor determination result output from the input unit 120, the biological information and the reaction result output from the acquisition unit 132, and based on the acquired instructor determination result, the biological information, and the reaction result, Deriving personality growth frequency. As shown in FIG. 4, the personality growth degree d18 is derived based on the moving image d14, the sound d15, the biological information such as the brain wave d16, and the lecturer determination result d17.

In addition, learning and progress status d19 such as the number of lessons, the number of lessons taken, the digestion rate for the total amount of VR content executed for the user, and the environment change created by the virtual reality from the user and the instructor, An arrangement request d20 such as a scenario change may be acquired. Here, the arrangement request d20 is atypical text data, and is information that is difficult to grasp, such as wanting to do this more or wanting to do it. The learning / progress status d19 and the arrangement request d20 are temporarily stored in the terminal device (not shown) of the facility 60.
The learning / progress status d19 temporarily stored in the terminal device and the lesson arrangement request d20 are input to the input unit 120 of the content generation server 100. The input unit 120 outputs the input acquisition / progress status d19 to the generation unit 134. The generation unit 134 acquires the information indicating the personality growth level output from the deriving unit 136 and the acquired / elapsed situation d19 output from the input unit 120, and based on the acquired personality growth level and the acquired / elapsed state d19. Then, a condition search is performed on the VR material data DB 150 and the scenario material data DB 160.
The generation unit 134 extracts virtual reality material data hit from a plurality of virtual reality material data included in the VR material data DB 150. The generation unit 134 extracts scenario material data hit from the scenario material data included in the scenario material data DB 160. The generation unit 134 generates (next) life reproduction content generation data based on the extracted virtual reality material data, scenario material data, and lesson arrangement request d20.
Specifically, the generation unit 134 changes or edits one or both of the extracted virtual reality material data and scenario material data within a consistent range based on the arrangement request d20. For example, the generation unit 134 changes the virtual reality material data from data representing a room in the day to data representing a room in the evening, or edits the scenario material data from data representing playing alone to data representing playing with friends. To do.

In the description of the operation of the foreign language acquisition support system 10 using FIGS. 3 to 5, the personality growth degree is derived using both the biological information transmitted from the output terminal 300 and the biological information transmitted from the output terminal 300 a. However, this is not the case. For example, the process proceeds to step S122 after step S114, and the personality growth degree may be derived using the biological information transmitted by the output terminal 300 without using the biological information transmitted by the output terminal 100a. In that case, in step S122 of FIG. 5, the communication unit 110 of the content generation server 100 receives the biological information transmitted by the output terminal 300 and the reaction result transmitted by the sensor 400. The communication unit 110 outputs the received biological information and reaction result to the acquisition unit 132. The acquisition unit 132 acquires the biological information and the reaction result output from the communication unit 110, and outputs the acquired biological information and the reaction result to the derivation unit 136.
The instructor determination result is input to the input unit 120 of the content generation server 100. The instructor determination result input to the input unit 120 is output to the derivation unit 136.
The derivation unit 136 acquires the instructor determination result output from the input unit 120, the biological information and the reaction result output from the acquisition unit 132, and based on the acquired instructor determination result, the biological information, and the reaction result, Deriving personality growth frequency.

Here, the difference between the personality growth level of the embodiment and the general proficiency level will be described.
Personality growth is a measure of the degree of formation of a new personality that can be spoken natively through life experiences, and is completely different from proficiency in measuring the results of learning English as a language. By introducing personality growth, it is possible to assess the growth level of sensibility that can be handled in English by capturing everything in English rather than remembering and using learned content and grammar.
The personality growth degree determination list 170 includes a list of reference indicators designed in accordance with the process in which children gradually use words for communication through their life experiences. When the personality growth level is low, communication is possible, but the state where the words spoken by the user are not realized as a language is also included. When the personality growth level is at a medium level, a state in which the user can communicate in English what he wants to do within his / her range of action is included. When the personality growth level reaches a high level, the user naturally uses English as input and output in communication necessary for adult life.

The personality growth level increases through experience, and natural English communication at the same level as native speakers is possible as long as it is within a limited range according to the scope of activity and the content of action. In other words, the foreign language acquisition support system adopts a life-experience-based approach that first develops a personality that is a native English conversation with a minimum range of life, and then expands its range of use with growth. .
The foreign language acquisition support system of the embodiment is different in vector from the proficiency level method of learning “English conversation” as a language and trying to approach the native language. In the case of a foreign language acquisition support system, it depends on what is experienced in the process of personality development. For this reason, in the case of a foreign language acquisition support system, a reversal phenomenon occurs, such as when you normally learn English conversation, you do not know the correct grammar, or do not know the adult phrase required in the business scene There is a case. However, in the case of a foreign language acquisition support system, users will be able to understand immediately as they experience it, and to develop a knowledge that can be incorporated into themselves from a native point of view, so correct grammar and adult phrases from a native point of view. Can be incorporated.

In the above-described embodiment, the case where the content output device 200 and the output terminal 300 are wirelessly connected has been described. However, the present invention is not limited to this example. For example, the content output device 200 and the output terminal 300 may be connected by wire.
In the embodiment described above, a case has been described in which a large number of virtual reality material data and scenario material data are prepared in advance assuming various situations in advance, but the present invention is not limited to this example. For example, one or both of virtual reality material data and scenario material data may be added at any time. By configuring in this way, it is possible to prepare a lineup that can be used in all situations.
In the above-described embodiment, the content generation server 100 includes the biological information transmitted from the output terminal 300, the reaction result transmitted from the sensor 400, the lecturer determination result acquired from the lecturer, and the biological information transmitted from the output terminal 300a. Based on the above, the case of deriving the personality growth frequency has been described, but the present invention is not limited to this example. For example, the content generation server 100 includes at least one of the biological information transmitted by the output terminal 300, the reaction result transmitted by the sensor 400, the instructor determination result acquired from the instructor, and the biological information transmitted by the output terminal 300a. Based on this, the personality growth degree may be derived.
In the above-described embodiment, the case where the content generation server 100 acquires the home environment d01, the learning direction d02, and the preference d03 as initial data has been described. However, the present invention is not limited to this example. For example, at least one of the home environment d01, the learning direction d02, and the preference d03 may be acquired, and the occupation type, the acquisition period, and the like may be acquired.
In the above-described embodiment, the case where the lecturer determination result is input to the input unit 120 of the content generation server 100 has been described. However, the present invention is not limited to this example. For example, the lecturer determination result may be transmitted to the content generation server 100 from a terminal device held by the lecturer.

According to the foreign language acquisition support system of the embodiment, the foreign language acquisition support system includes a storage unit that stores virtual reality material data and scenario material data, and virtual reality material data and scenario material data stored in the storage unit. Based on the above, the content generation data generation unit for generating content generation data, which is data for generating content for allowing the user to learn a foreign language, and the content is acquired while the user is experiencing And a derivation unit for deriving a personality growth level which is a growth level of sensitivity corresponding to a foreign language based on the biometric information, and the content generation data generation unit is further based on the personality growth level, Next generation data is generated.
By configuring in this way, the content that is generated based on the virtual reality material data and the scenario material data and that allows the user to learn a foreign language is converted into biometric information acquired while the user is experiencing it. Based on this, the user can derive the personality growth level which is the growth level of sensitivity corresponding to the foreign language. For this reason, by generating the next content to make the user learn a foreign language based on this personality growth degree, by letting the user experience life in an English environment from the early days of infants, Students can learn foreign languages in the same process as the native learning process. The user can create a new English-speaking native.

Further, by feeding back the instructor determination result, the biological information, and the reaction result to the content generation server 100, the content generation server 100 can update the personality growth degree based on the fed back information. The user repeatedly performs this mechanism for a predetermined period such as one month, in a form that goes deep into life. That is, the user can make his / her new personality that can speak natively through his / her life experience by sending the second virtual English native life quickly.
Furthermore, the deriving unit derives the personality growth degree based on the biometric information acquired while the user is viewing the captured video and the recorded audio while experiencing the content. To do.
By configuring in this way, biometric information acquired based on virtual reality material data and scenario material data, which is acquired while the user is experiencing content for making the user learn a foreign language, Sensitivity that the user responds in a foreign language based on the captured video and the biometric information acquired while viewing the recorded audio while the user is experiencing the content The personality growth frequency that is the growth level of can be derived. Based on this personality growth rate, by generating content for the user to learn a foreign language, by letting the user experience life in an English environment from an early age, the native learning process In the same process, you can learn a foreign language. The user can create a new English-speaking native.
Furthermore, by being able to experience the content again, it is possible to establish and maintain personality growth.

As mentioned above, although embodiment was described, these embodiment was shown as an example and is not intending limiting the range of invention. These embodiments can be implemented in various other forms, and various omissions, replacements, changes, and combinations can be made without departing from the scope of the invention. These embodiments are included in the scope and gist of the invention, and at the same time, are included in the invention described in the claims and the equivalents thereof.
Note that the content generation server 100, the content output device 200, the output terminal 300, the content generation server 100a, and the output terminal 300a described above may be realized by a computer. In that case, a program for realizing the function of each functional block is recorded on a computer-readable recording medium. The program recorded on the recording medium may be read by a computer system and executed by the CPU. The “computer system” here includes hardware such as an OS (Operating System) and peripheral devices.
The “computer-readable recording medium” refers to a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM. The “computer-readable recording medium” includes a storage device such as a hard disk built in the computer system.

Furthermore, the “computer-readable recording medium” may include a medium that dynamically holds a program for a short time. What holds the program dynamically for a short time is, for example, a communication line when the program is transmitted via a network such as the Internet or a communication line such as a telephone line.
In addition, the “computer-readable recording medium” may include a medium that holds a program for a certain period of time, such as a volatile memory inside a computer system that serves as a server or a client. The program may be for realizing a part of the functions described above. Further, the program may be a program that can realize the above-described functions in combination with a program already recorded in the computer system. The program may be realized using a programmable logic device. The programmable logic device is, for example, an FPGA (Field Programmable Gate Array).

The content generation server 100, the content output device 200, the output terminal 300, the content generation server 100a, and the output terminal 300a described above have a computer inside. The processes of the content generation server 100, the content output device 200, the output terminal 300, the content generation server 100a, and the output terminal 300a are stored in a computer-readable recording medium in the form of a program. The above processing is performed by the computer reading and executing the program.
Here, the computer-readable recording medium means a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program.
The program may be for realizing a part of the functions described above.
Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

DESCRIPTION OF SYMBOLS 10 ... Foreign language acquisition support system, 50 ... Network, 100 ... Content generation server, 110 ... Communication part, 120 ... Input part, 130 ... Information processing part, 132 ... Acquisition part, 134 ... Generation part, 136 ... Derivation part, 138 ... Processing unit, 140 ... Storage unit, 150 ... VR material data DB, 160 ... Scenario material data DB, 170 ... Personal growth determination list, 180 ... Life reproduction content generation data DB, 190 ... Movie DB, 200 ... Content output Device 210 ... Communication unit 230 ... Information processing unit 232 ... Acquisition unit 234 ... Generation unit 140 ... Storage unit 300, 300a ... Output terminal 310, 310a ... Communication unit 330, 330a ... Information processing unit 332, 332a ... acquisition unit, 338, 338a ... processing unit, 340, 340a ... storage unit, 350 ... auxiliary device, 400 ... set Sir

Claims (8)

A storage unit that stores virtual reality material data that is data for creating an environment by virtual reality and scenario material data that is a story that the user experiences in the environment created by virtual reality;
Content generation for generating data for generating content that is data for generating content for allowing the user to learn a foreign language based on the virtual reality material data and the scenario material data stored in the storage unit A data generation unit,
A derivation unit for deriving a personality growth level that is a growth level of sensibility corresponding to the foreign language based on biometric information acquired while the user is experiencing the content; and
The content generation data generation unit is a foreign language learning support system that generates data for next content generation based further on the personality growth degree. The foreign language learning support system according to claim 1, further comprising: a virtual reality content generation unit that generates virtual reality content to be provided to the user based on the content generation data. The storage unit stores a plurality of virtual reality material data and scenario material data,
The content generation data generation unit, from the plurality of virtual reality material data stored in the storage unit and the plurality of scenario material data, to the user based on the personality growth degree derived by the derivation unit The foreign reality according to claim 1 or 2, wherein virtual reality material data to be provided and scenario material data are extracted, and content generation data is generated based on the extracted virtual reality material data and scenario material data. Language acquisition support system.   The derivation unit derives a personality growth degree based on biometric information acquired while the user using the auxiliary device according to the personality growth degree is experiencing the content. The foreign language acquisition support system according to claim 3.   The said derivation | leading-out part derives | leads-out the personality growth degree based on the imaged moving image and the recorded audio | voice while the said user is experiencing the said content. The foreign language acquisition support system described in the above item.   The foreign language acquisition support system according to claim 5, wherein the deriving unit derives a personality growth degree based on biometric information acquired while the user is viewing the moving image and the audio. A foreign language acquisition support method executed by a computer,
Based on virtual reality material data, which is data for creating an environment by virtual reality, and scenario material data, which is a story to be experienced by the user in an environment created by virtual reality, to allow the user to learn a foreign language Generating content generation data, which is data for generating content;
Deriving a personality growth level, which is a sensitivity growth level corresponding to the foreign language, based on biometric information acquired while the user is experiencing the content;
A foreign language acquisition support method, further comprising: generating data for next content generation based on the personality growth degree. On the computer,
Based on virtual reality material data, which is data for creating an environment by virtual reality, and scenario material data, which is a story to be experienced by the user in an environment created by virtual reality, to allow the user to learn a foreign language Generating content generation data, which is data for generating content;
Deriving a personality growth level, which is a sensitivity growth level corresponding to the foreign language, based on biometric information acquired while the user is experiencing the content;
A foreign language acquisition support program for executing the step of generating data for the next generation of content based further on the personality growth degree.

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