KR102381572B1 - Online Interview Providing Method, System and Computer-readable Medium Using Machine Learning - Google Patents

Abstract

The present invention relates to a method, system, and computer-readable medium for providing an online interview using machine learning, and more particularly, to a question set by an institution to be supported, an online interview image is taken by an evaluator, and the subject's A method, system, and computer-based method for providing an online interview using machine learning that provides feedback using machine learning on the video so that the evaluator can submit the interview video to the institution after first confirming the automatic evaluation of his/her interview video It relates to readable media.

Description

Online Interview Providing Method, System and Computer-readable Medium Using Machine Learning}

The present invention relates to a method, system, and computer-readable medium for providing an online interview using machine learning, and more particularly, to a question set by an institution to be supported, an online interview image is taken by an evaluator, and the subject's A method, system, and computer-based method for providing an online interview using machine learning that provides feedback using machine learning on the video so that the evaluator can submit the interview video to the institution after first confirming the automatic evaluation of his/her interview video It relates to readable media.

The interview generally consists of an interviewer who is evaluated through an interview and an interviewer who evaluates the interviewer.

The purpose of the interview is to understand the interviewer's hard skills such as expertise, professional skills, or information literacy ability, as well as soft skills such as the interviewer's attitude and communication ability through question and answer. .

On the other hand, although many job seekers are preparing for the interview, it is difficult to provide an objective evaluation result. It is difficult to point out other people's soft skills.

In addition, the soft skill is an area that is judged differently according to the interviewer's subjective experience and intuition, and the evaluation criteria and evaluation method may vary depending on the interviewer. As such, there is a problem in that it is difficult to objectively evaluate the interviewer's soft skills by the evaluation method that varies depending on the subjectivity of the interviewer.

In addition, in the case of soft skills, various factors exist, and the method of providing results for them is also very important. It is not simply an extroversion or introversion evaluation, but it is necessary for the interviewer to be able to grasp in detail the areas where he or she is lacking as a whole. In addition, it is necessary to determine at what point in the interview there was a shortage, but there is no prior art in which such a service is provided.

In addition, the existing video interview method is conducted in a way that the company presents a question and the job seeker shoots a video online and delivers it to the personnel manager.

As it is a one-time job from the point of view of job seekers, when applying for multiple companies, if they are asked a similar question, such as “Introduce yourself,” there is a problem that it consumes a lot of time because each company has to film several times. There is a problem with not receiving it.

In addition, in the case of a real-time video interview, there is a problem that it is difficult to coordinate the schedule, and the interview may not proceed smoothly due to problems with the computing system and communication system during the interview. There is a problem that it cannot be confirmed.

According to the present invention, the evaluator shoots an online interview image for a question set by the institution to be supported, and provides feedback using machine learning for the image of the evaluator, after the evaluator first confirms the automatic evaluation of his/her interview image An object of the present invention is to provide a method, system and computer-readable medium for providing an online interview using machine learning that can submit an interview video to an institution.

In order to solve the above problems, the present invention provides a method for providing an online interview using machine learning performed in a service server. step; an interview image storage step of transmitting one or more question information from a preset question set to an applicant terminal, and receiving and storing an interview image in which a response to the question information is performed from the applicant terminal; an interview image evaluation step of generating automatic evaluation information for the interview image through an evaluation model using machine learning; an evaluation result providing step of providing an automatic evaluation result to the applicant terminal based on the automatic evaluation information; and a support image setting step of setting information on an interview image for an institution to which the user wishes to apply based on an input from the applicant terminal; provides a method of providing an online interview using machine learning, including a.

In some embodiments of the present invention, the step of updating the question set includes: receiving question information about the organization from an organization terminal logged into the organization; directly or indirectly loading application information on the applicant and the institution to which the applicant has applied from an external recruitment support server; and updating a question set for a corresponding applicant based on the question information and the application information.

In some embodiments of the present invention, the method for providing an online interview using machine learning is determined based on application information about the applicant and the institution to which the applicant has applied directly or indirectly received from an external recruitment support server. The method may further include a question set setting step of transmitting information on a question set including a question for each support organization of the applicant to the applicant's terminal, and setting a question set for shooting an interview image according to the input of the applicant's terminal. .

In some embodiments of the present invention, the display element in the applicant terminal provided by the evaluation result providing step includes: an image layer capable of reproducing the interview image; Category layer from which two or more evaluation result categories can be selected; The automatic evaluation result layer may include an automatic evaluation result for the selected evaluation result category among the two or more evaluation result categories.

In some embodiments of the present invention, the display element in the applicant terminal provided by the evaluation result providing step includes: an image layer capable of reproducing the interview image; It may include an automatic evaluation result layer for displaying elements for the evaluation of the partial unit of the interview image.

In some embodiments of the present invention, the step of setting the support video may include: receiving an input for a support organization from a corresponding applicant terminal; receiving interview image selection information of the applicant for each of the one or more questions registered by the support organization from the applicant terminal; and updating the applicant's support information on the applicant's corresponding institution in the applicant's terminal.

In some embodiments of the present invention, the screen of the applicant terminal displayed by the support image setting step includes: an institution list layer displaying a list of institutions to be supported; a questionnaire layer displaying one or more questions of the selected institution; and an interview image layer for displaying the interview image stored by the applicant; and to input any one or more of the interview images of the interview image layer into each question of the question layer by operation on the applicant's terminal. can

In some embodiments of the present invention, the method for providing an online interview using machine learning further includes the step of providing a support image, wherein the step of providing the support image is set by the institution of the applicant who applied for the institution. Interview images for each question may be provided to the institution terminal.

In order to solve the above problems, an embodiment of the present invention is a system for providing an online interview using machine learning implemented by a service server, and a set of questions is asked based on information including information input from an institution terminal. Question set update unit to update; an interview image storage unit for transmitting one or more question information from a preset question set to an applicant terminal, and receiving and storing an interview image in which a response to the question information is performed from the applicant terminal; an interview image evaluation unit for generating automatic evaluation information for the interview image through an evaluation model using machine learning; an evaluation result providing unit that provides an automatic evaluation result to the applicant terminal based on the automatic evaluation information; and a support image setting unit configured to set information on an interview image for an institution to which the user wishes to apply based on an input from the applicant terminal; provides a system for providing an online interview using machine learning, including a.

In order to solve the above problems, an embodiment of the present invention provides a computer-readable recording medium in which a program for performing the above-described method for providing an online interview using machine learning is recorded.

According to an embodiment of the present invention, a job seeker may receive an objective evaluation of the interview image before submitting his/her interview image to an application institution, and can exhibit the effect of improving his or her interview image based on the evaluation.

According to an embodiment of the present invention, it is possible to exert the effect that the job seeker can be provided with the interview evaluation by time or frame as well as the overall evaluation of his or her own interview.

According to an embodiment of the present invention, it is possible to exert the effect that the job seeker can be provided with evaluation information about his/her interview image in a more intuitive and analytical form.

According to an embodiment of the present invention, when supporting multiple companies, the convenience of institutional support is improved by submitting an existing interview image for a question with a similar purpose rather than shooting each image for a question about each company. can be promoted

According to an embodiment of the present invention, the institution can obtain an opportunity to check the competency of the job seeker through video, and the job seeker can exhibit the effect of submitting his/her best interview video to the institution at a minimum cost.

According to an embodiment of the present invention, the institution can exert the effect of efficiently confirming only the best condition of the applicant.

1 schematically shows the overall system form of a method for providing an online interview according to an embodiment of the present invention.
2 schematically shows an internal configuration of a service server according to an embodiment of the present invention.
3 schematically shows the overall steps of a method for providing an online interview according to an embodiment of the present invention.
4 schematically shows the operation of the question set update unit according to some embodiments of the present invention.
5 schematically shows a display screen in the applicant terminal according to the execution of the question set setting unit according to an embodiment of the present invention.
6 schematically shows a display screen in the applicant's terminal according to the performance of the interview image storage unit according to an embodiment of the present invention.
7 schematically shows the operation of the interview image evaluation unit according to an embodiment of the present invention.
8 schematically shows a display screen in the applicant terminal according to the performance of the comprehensive evaluation providing unit of the evaluation result providing unit according to an embodiment of the present invention.
9 schematically shows a display screen in the applicant's terminal according to the performance of the personality characteristic providing unit of the evaluation result providing unit according to an embodiment of the present invention.
10 schematically shows a display screen in the applicant terminal according to the execution of the frame-by-frame analysis providing unit of the evaluation result providing unit according to an embodiment of the present invention.
11 schematically illustrates a display screen in the applicant terminal according to the execution of the gaze processing result provision of the frame-by-frame analysis providing unit of the evaluation result providing unit according to an embodiment of the present invention.
12 schematically shows a display screen in the applicant terminal according to the execution of the head movement result provision of the frame-by-frame analysis providing unit of the evaluation result providing unit according to an embodiment of the present invention.
13 schematically illustrates a display screen in the applicant terminal according to the execution of the analysis result provision by the frame-by-frame analysis providing unit of the evaluation result providing unit according to an embodiment of the present invention.
14 schematically shows the performing steps of the support image setting unit according to an embodiment of the present invention.
15 schematically illustrates an example of a display screen of a supporter terminal according to an operation of a support image setting unit according to an embodiment of the present invention.
16 schematically illustrates an example of a display screen of an institution terminal according to an operation of a support image providing unit according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . Also, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

Also, terms including an ordinal number, such as first, second, etc., may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

In this specification, a "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be implemented using two or more hardware, and two or more units may be implemented by one hardware. Meanwhile, '~ unit' is not limited to software or hardware, and '~ unit' may be configured to be in an addressable storage medium or to reproduce one or more processors. Accordingly, as an example, '~' indicates components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

The "user terminal" referred to below may be implemented as a computer or portable terminal that can access a server or other terminal through a network. Here, the computer includes, for example, a laptop, a desktop, a laptop, etc. equipped with a web browser (WEB Browser), and the portable terminal is, for example, a wireless communication device that guarantees portability and mobility. , PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code) Division Multiple Access)-2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro) terminals, etc. may include all types of handheld-based wireless communication devices. In addition, "network" refers to a wired network such as a local area network (LAN), a wide area network (WAN), or a value added network (VAN), or a mobile radio communication network or satellite. It may be implemented in any kind of wireless network such as a communication network.

1 schematically shows the overall system form of a method for providing an online interview according to an embodiment of the present invention.

The member terminal of FIG. 1 may correspond to the above-described user terminal, and the service server 1000 corresponds to a computing device including one or more processors and one or more memories.

The member terminal may access the service server 1000 through a web browser program or may access the service server 1000 through a dedicated application.

The member terminal may correspond to a volunteer terminal using a service by logging in with a volunteer account or an institutional terminal using a service by logging in with an organization account.

The applicant terminal can apply to the institution while submitting the interview video to the institution to be supported by the service server.

Applicants for the applicant terminal may correspond to those who want to find a job, such as part-time, regular, fixed-term, or temporary. It may correspond to the institution you wish to apply to.

In the present invention, the applicants and institutions are not limited to the above categories, but in the case of applicants, it should be interpreted in a broad sense to include all persons who want to provide their own labor, and institutions to include both individuals and institutions who want to hire a job. something to do.

The member terminal may log in to the service server 1000 with each user's account and use the service of the service server 1000 .

The member terminal may log in to the service server 1000 with a different type of account, for example, an account of an applicant type or an account of an institution type, and accordingly, interfaces and functions provided by the service server may vary.

Meanwhile, the recruitment service server may correspond to a server that provides employment-related services such as ^{TM for Koreans, Recruit TM ,} Part-timer Heaven ^TM , and the like. In the recruitment service server, an applicant logs in as an applicant, and the applicant can apply by viewing a job advertisement of an institution. In a preferred embodiment of the present invention, after the applicant performs the application for the job posting of the institution, the online interview and information on the service server are provided from the recruitment service server, and the applicant can use the above service in the form of SNS login, etc. You can log in to the server.

More preferably, the service server may automatically collect information on the applicant and the institution to which the applicant has applied from the recruitment service server. In such an embodiment of the present invention, after matching or supporting an applicant and an institution in the recruitment service server, the applicant checks the guide for the online interview in the recruitment service server, clicks the link in the guide to access the service server, After easily accessing the service server through , SNS login, etc., you can conduct an online interview for the questions requested by the institution.

Hereinafter, the configuration of the service server 1000 will be described in more detail.

2 schematically shows an internal configuration of a service server 1000 according to an embodiment of the present invention.

The service server 1000 of the present invention may provide an interview preparation service using machine learning. Briefly, by receiving an interview image from the member terminal and providing evaluation information on it, the user of the member terminal can receive feedback on his or her interview image. Here, the member terminal may be the aforementioned support terminal.

The service server includes a question set setting unit 1100, an interview image storage unit 1200, an interview image evaluation unit 1300, an evaluation result providing unit 1400, an online interview unit 1500, and a DB 1600. can do.

The question set setting unit 1100 configures a question set according to a user's input.

In an embodiment of the present invention, the question set setting unit 1100 provides the user with questions according to the organizations supported by the logged-in applicant, and the user can configure the question set based on the corresponding questions. Alternatively, the question set itself required by the applicable institution may be selected as the question set for conducting the online interview.

Alternatively, the user can compose a question set from among the common questions that are basically given regardless of his or her application history. This is to secure an interview video for generally the same question when an applicant applies to multiple organizations.

Alternatively, in another embodiment of the present invention, the user inputs information on the institution to which the user wants to apply step by step, and the service server 1000 asks a question corresponding to the information on the institution (taken in an interview with a company or company type). Questions that have been or may be asked) are provided to the user. Preferably, the question set setting unit 1100 provides the user with the type of institution (eg, company, public institution, etc.), the name of the company (eg, Samsung Electronics, Bank of Korea), and job group (eg, , software job, managerial job) is provided step by step, and the following questions are presented to the user, and the user can set the question set for the online interview by performing selections on the presented questions. there is.

The service server 1000 may receive the above-mentioned question information from the terminal of the institution for which the above-described job search is made, and accordingly, may store a set of questions for applicants who want to apply for the institution in the DB.

Alternatively, the service server 1000 stores information on questions corresponding to support information of each company, job group, etc., and provides a list of questions corresponding to the user's input, and the user is a major company, or You can check questions from major agencies and create your own set of questions to conduct your own online interview.

By the above methods, the question set setting unit 1100 sets a question set including questions for image shooting by the interview image storage unit 1200 according to a user's input.

Thereafter, the interview image storage unit 1200, which will be described later, sequentially or randomly extracts the questions included in the question set and transmits them to the member terminal. It is recorded by the terminal and transmitted to the service server 1000 .

Alternatively, the interview image storage unit 1200 transmits to the member terminal only a specific question determined according to the user's input among the questions included in the question set, and after the user identifies the question in the member terminal, the response image is sent to the member It is recorded by the terminal and transmitted to the service server 1000 .

The interview image storage unit 1200 transmits one or more question information of a preset question set to an applicant terminal, and receives and stores an interview image in which a response to the question information is performed from the applicant terminal.

The question information may be implemented in the form of one or more of a question text, a question voice, and a question image.

Specifically, the interview image storage unit 1200 provides an interface in which a question according to the question information is displayed or reproduced in the terminal in the applicant terminal, and the interview image captured by the camera and microphone provided in the applicant terminal is stored in the applicant terminal. Received from, and stored in the DB (1600) together with the identifier for the interview image.

In a preferred embodiment of the present invention, when the interview image storage unit 1200 is executed, the interview image storage unit 1200 is executed as the applicant terminal selects a question set of an institution to which he/she wants to apply, and inputs an interview image for it. After at least one of the explanatory data, specifically explanatory text, explanatory voice, and explanatory video, about the institution provided or uploaded by the institution to the service server is displayed, the question is displayed or reproduced on the applicant terminal. Preferably, in the case of the explanatory image, it may correspond to an image showing the working environment of the applied institution, or an image taken by the employer or the boss. In this way, Bobo applicants can grasp the details of the institution and, after grasping the context and context of the interview, film the question.

The interview image evaluation unit 1300 generates automatic evaluation information for the interview image through an evaluation model using machine learning.

That is, after receiving the interview image, the service server 1000 automatically evaluates using the evaluation model, and generates automatic evaluation information through this. The automatic evaluation information includes overall evaluation factors related to the interview, including one or more of favorable sensitivity, concentration, trust, liveliness, composure, communication ability, eye contact, kindness, use of habitual words, and pleasantness; and personality traits comprising one or more of openness, conscientiousness, extraversion, affinity, and neuroticism; It may include one or more of quantitative information about one or more features of gaze processing, head movement, voice pitch, voice pitch, voice volume, and emotion.

Preferably, the evaluation model includes one or more deep learning-based trained artificial neural network modules. The evaluation model may correspond to a form of using not only the learned artificial neural network module but also the evaluation module based on a preset rule in a complex manner.

The evaluation result providing unit 1400 provides an automatic evaluation result to the applicant terminal based on the automatic evaluation information. Specifically, the evaluation result providing unit 1400 transmits the automatic evaluation information or the processed data of the automatic evaluation information (data related to the implementation of the interface in which the automatic evaluation information is reflected) to the member terminal, and the member terminal's web In the browser and the dedicated application, various evaluation information is displayed according to the user's selection.

Preferably, the evaluation result providing unit 1400 is a comprehensive evaluation related to the interview including one or more of favorable sensitivity, concentration, trust, liveliness, composure, communication ability, eye contact, kindness, use of habitual words, and pleasantness. Comprehensive evaluation providing unit 1410 that provides the elements; a personality trait providing unit 1420 that provides personality trait elements including at least one of openness, conscientiousness, extraversion, affinity, and neuroticism; and a frame-by-frame analysis providing unit 1430 that provides one or more elements among gaze processing, head movement, voice pitch, voice pitch, voice volume, and emotion for each partial unit of the interview image.

The frame-by-frame analysis providing unit 1430 may provide characteristic evaluation information according to a partial unit of the interview image, for example, for each frame, frame section, time, and time section. It should be understood that in the term 'frame-by-frame analysis provider', a frame does not refer to a single frame, but to a partial unit of an interview image.

The online interview unit 1500 includes a question set update unit 1510 , a support image setting unit 1520 , and a support image providing unit 1530 .

The question set update unit 1510 updates the question set based on information including information input from the institution terminal.

In one embodiment of the present invention, by logging into the service server at the corresponding institution using the institution terminal, questions to be displayed in the online interview for the applicant who wants to apply to the institution can be input.

Thereafter, the applicant may set the question set of the institution as the question set for which he/she will shoot the interview image by the operation of the question set setting unit, and may shoot the interview image.

Alternatively, in another embodiment of the present invention, the question set update unit 1510 automatically receives the applicant's application information (which institution he or she has applied to) from the recruitment service server, or receives the applicant's request from the service server. By receiving the input of the institution to which the applicant wishes to apply, the set of questions set by the institution to which the applicant wishes to apply is assigned or set to the applicant's account.

Thereafter, the applicant may check the questions of the institution to be supported by the operation of the question set setting unit 1100 , and select questions for which the interview image is to be taken.

As described above, the question set update unit 1510 sets the question set of the corresponding institution based on the information received from the institution terminal, and/or allocates the question set of the corresponding institution set in this way according to the information or input of the applicant. perform the function

The application image setting unit 1520 may set or upload information on an interview image for an institution to which the user wishes to apply based on an input from the applicant terminal. A detailed operation for this will be described later.

The support image providing unit 1530 provides an interview image for each question set by the institution of the applicant who applied for the institution to the institution terminal. A detailed operation for this will be described later.

The service server 1000 illustrated in FIG. 2 may further include elements other than the illustrated elements, but only elements related to the method of providing an online interview according to embodiments of the present invention are displayed for convenience.

3 schematically illustrates the overall steps of a method for providing an online interview according to an embodiment of the present invention.

In step S10, query information is input to the service server in the institution terminal. Here, the question information is information about a question that the institution wants to answer during an online interview, and may correspond to one or more types of text, voice, and video.

In step S11, the service server sets a set of questions for the institution according to the input of the institution terminal. Through this procedure, the service server can store a set of questions for each organization that intends to conduct an online interview using the service server.

In step S12, the service server receives the question set setting information input from the applicant terminal.

In one embodiment of the present invention, various question sets including the question set of the institution to which the applicant applied are based on the applicant's support input to the institution in the service server or the applicant's application information received from the recruitment service server. provided to the terminal, and for this, a selection input may be received from the applicant terminal. Such a selection input may correspond to the question set setting information in step S12.

Alternatively, in step S12, one or more pre-stored questions may be presented to the applicant, and one or more questions selected according to the applicant's input may be set as a question set.

In step S13, a set of questions for which an interview image is to be taken is set according to the question set setting information of the applicant terminal.

The set question set in this way may include one or more questions.

In step S14, the service server provides question information to the applicant terminal, and in step S15, the applicant terminal captures an interview image for the question information and transmits it to the service server.

In step S16, the service server stores the received interview image, and in step S17, the received interview image is evaluated using an automated evaluation model.

In step S18, according to the user's input, the service server provides an evaluation result. Thereafter, in step S19, the applicant may check the evaluation results of the interview images taken by the applicant in his/her terminal. In addition, by checking the evaluation results, and again through the processes S14 to S19, shooting a new image and confirming the evaluation result, it is possible to improve one's own interview image.

In step S20, the applicant terminal may submit his/her interview video to the company to which he/she wants to apply. The application information in step S20, according to an embodiment, includes information about the company to which the applicant wants to apply and the interview image that the applicant wants to submit. More preferably, the application information may include information on an interview image that the user intends to submit to the company to which he/she wants to apply and each of the questions requested by the company.

In step S21, a support image setting process is performed according to the support information received from the applicant terminal. In one embodiment of the present invention, the applicant sets, submits, or shares the interview image stored in the service server with respect to the relevant institution or the question of the institution (S20), so that the service server The settings such as sharing of the supported video are performed so that the interview video can be confirmed by the organization that supported the interview video (S21).

Alternatively, in another embodiment of the present invention, when the applicant actually uploads his/her interview image stored in his/her terminal in response to a question of the institution or the institution (S20), the service server supports the interview image of the applicant. It is also possible to perform settings such as sharing of the supported video so that it can be checked in ( S21 ).

After the step S21 is completed, in step S22, an interview image submitted by the applicant is provided according to the request of the institution terminal, and the support image can be checked in the institution terminal.

According to the embodiment of the present invention as described above, the job seeker receives an objective evaluation of the interview image before submitting his/her interview image to the application organization, and can exhibit the effect of improving his interview image based on the evaluation. In addition, after taking a plurality of interview images, automatic evaluation information is checked, and among them, images with good evaluation information can be selected and submitted to the supporting organization. It can have an effect that can be submitted.

In addition, according to an embodiment of the present invention as described above, when supporting multiple companies, an existing interview image for a question with a similar effect is submitted rather than shooting each image for a question about each company By doing so, the convenience of institutional support can be promoted.

4 schematically shows the operation of the question set update unit 1510 according to some embodiments of the present invention.

4A illustrates a process in which the institutional terminal updates the question information in the question set update unit 1510 of the service server.

Here, the question information is the question information that the institution can request from the interviewer, for example, “Tell me about yourself”, “What are your strengths?”, “Tell me about your experiences in similar jobs in the past” It can be a question, and it can be entered in the form of text, voice, or video.

Meanwhile, as described above, the question information may include at least one of explanatory data of the institution, specifically explanatory text, explanatory voice, and explanatory image. Such explanatory data may correspond to the working environment of the applied institution, for example, in the case of a part-time job, a video showing the environment of the store or a video taken by the employer or boss.

In this case, when the interview applicant takes an interview video for the corresponding question set, the explanatory data is reproduced in the applicant terminal before the question is provided.

In this way, Bobo applicants can grasp the details of the institution and, after grasping the context and context of the interview, film the question.

Through the step (A) of FIG. 4 , a question set for each institution is stored in the service server.

Thereafter, as shown in FIG. 4B , in an embodiment of the present invention, the question set update unit 1510 receives application information (information on which institution the applicant has applied to) from the recruitment service server. Directly or indirectly, a question set for each applicant is set based on the information on the institution that has been received and applied and the question set for each institution input in FIG. You can immediately check the set of questions about the institution to which you have applied. Here, the user may shoot an interview video for all questions of the relevant institution or an interview video for some questions.

Alternatively, as shown in FIG. 4(C), in an embodiment of the present invention, the applicant inputs support organization information, which is information about the institution to which he or she wishes to apply, to the service server, A question set for each applicant is set based on the information and the question set for each institution input in FIG. can be checked Here, the user may shoot an interview video for all questions of the relevant institution or an interview video for some questions.

That is, the question set update unit,

As shown in (A) of Figure 4, receiving the question information about the institution from the institution terminal logged in to the institution; performing;

As shown in (B) or (C) of FIG. 4 , directly or indirectly loading application information on the applicant and the institution to which the applicant has applied from an external recruitment support server; and updating a question set for a corresponding applicant based on the question information and the application information.

5 schematically shows a display screen in the applicant terminal according to the execution of the question set setting unit 1100 according to an embodiment of the present invention.

Preferably, the questionnaire set may be created and managed for each member's account. FIG. 5A shows a display screen of the initial member terminal by the question set setting unit 1100 .

Specifically, the question set setting unit 1100 provides information about the applicant directly or indirectly received from an external recruitment support server, support information about the applicant and the institution to which the applicant has applied, or the support information on the applicant's institution from the service server. Information on a question set including a question for each application organization of the applicant determined based on the information may be transmitted to the applicant terminal of the applicant, and the question set for photographing the interview image may be set according to the input of the applicant terminal.

In FIG. 5A , information on a question set already created or initially given to the user of the corresponding account is displayed. The first box in FIG. 5A corresponds to a selection box for the user to create a question set, and the second box corresponds to a selection box for generating a question set by randomly extracting a question from the user, , the third box and the fourth box may correspond to a set of questions initially given to the user in common.

On the other hand, the fifth and sixth question sets in FIG. 5A correspond to the question sets for the support organization generated based on information received from the recruitment service server or received from the applicant terminal.

When a user inputs information of an institution to which he or she wishes to apply to the recruitment service server or the service server, the question set update unit 1510 generates a question set for each applicant based on the information, and uses the same as the question set setting unit. Displayed by the operation of (1100).

The user may click each question set box to select a question for which he/she wants to shoot an interview image, and may perform the operation of the interview image storage unit 1200 accordingly.

The information of the question set may include a question of the corresponding question set, identification information of the question set, and a creation date of the question set. In addition, as in the first box, an interface element through which the user can create a question set may be displayed, and as in the second box, a question set is randomly generated, and the interview image storage unit 1200 is immediately executed. An interface element may be displayed.

FIG. 5B shows a screen when the user inputs the first box on the screen (A) of the member terminal provided by the question set setting unit 1100 .

As in the upper layer of FIG. 5B , the user can select a major category (organization type), a medium category (organization name), and a small category (job group in the institution).

Thereafter, in the middle layer of FIG. 5B, the question bank and the question I made can be selected, and when the question bank is selected, the service server 1000 according to the large category, the middle category, and the small category selected by the user is stored in advance. Questions are displayed.

Here, the user can add a question to the question set to be set currently while inputting (for example, clicking) the questions, and the added question is displayed on the left layer, thereby giving the user the information he or she wants to practice. You can conveniently set up a question set containing questions.

6 schematically shows a display screen in the applicant's terminal according to the execution of the interview image storage unit 1200 according to an embodiment of the present invention.

Specifically, according to the user's input, the interview image storage unit 1200 transmits to the member terminal the question set selected by the user or the question included in the question set, and in the member terminal, After the process is performed, the captured interview image is transmitted to the service server 1000 , and then the service server 1000 stores the received interview image.

In FIG. 6A , a display element for counting down is displayed while a question is displayed in the currently captured image. Specifically, '7' in FIG. 6(A) is a display notifying the user that image shooting is in progress after 7 seconds.

In (B) of FIG. 6, the screen of FIG. 6 (A) is finished and image capturing is in progress. In (B) of FIG. 6 , the user answers the question on the previous screen, and the member terminal takes an image and transmits it to the service server 1000 .

7 schematically shows the operation of the interview image evaluation unit 1300 according to an embodiment of the present invention.

The interview image evaluation unit 1300 analyzes the interview image using the learned evaluation model.

The interview image evaluation unit 1300 may include various evaluation modules for evaluating the interview image. The evaluation module corresponds to an evaluation module that can perform evaluation based on a deep learning-based learned evaluation model, or derives feature information (eg, gaze position) according to a preset routine or algorithm rather than learning, and , may correspond to an evaluation module that evaluates the derived characteristic information.

A number of papers and patents exist for a technique for deriving attitudes and emotions from such images through a learned deep learning-based model, and the interview image evaluation unit 1300 of the present invention is limited to a specific method in the evaluation method. it doesn't happen

.

In an embodiment of the present invention, the interview image evaluation unit 1300 basically receives an interview image including image information and audio information and automatically evaluates information through an evaluation model learned through machine learning technology such as deep learning. derive

Also, in addition to this, the interview image evaluation unit 1300 may analyze the image according to a preset rule rather than machine learning and derive specific evaluation values.

The evaluation modules constituting the interview image evaluation unit 1300 extract audio and image information from the interview image, which is a moving picture, and input it to the evaluation module, respectively, to derive a result value or synthesize audio and image information and input it into the evaluation module It is also possible to derive the result.

Preferably, the evaluation module of the interview image evaluation unit 1300 using the evaluation model according to an embodiment of the present invention infers whether the speaking state through the shape of the mouth, and takes this into account, a model for evaluating the subject of the interview image may include Specifically, the specific evaluation module of the biased image evaluation unit separately detects the mouth-shaped part of the face included in the interview image and uses artificial neural network technology that includes temporal concepts such as RNN, LSTM, and GRU to determine whether or not a person is speaking. It can be configured to include a model that distinguishes between configurable.

That is, in this configuration, if the subject or the speaker is not speaking through the mouth shape in the interview image in this configuration, the image information is automatically treated as more important (a relatively high weight is given than in the normal state) and the voice information is given less importance. It can be processed (weighed relatively lower than the normal state).

Preferably, the interview image evaluation unit 1300 may include a module for extracting a plurality of location information of the user's gaze from a plurality of frames of the interview image, and through this, the evaluation result providing unit 1400 In this way, it is possible to provide information on the position status of the gaze and the status of movement of the gaze from the member terminal.

Preferably, the interview image evaluation unit 1300 may include a module for extracting the user's head movement from a plurality of frames of the interview image, and through this, the evaluation result providing unit 1400 performs the evaluation in the member terminal. It can provide information about head movements.

Preferably, the interview image evaluation unit 1300 may include a module for extracting sound characteristic values of voices such as voice pitch and voice volume in a plurality of frames of the interview image, and through this, the evaluation result providing unit In step 1400, the member terminal may provide information about the voice.

Preferably, the interview image evaluation unit 1300 may include a module for extracting the intensity of emotion elements for each section of the interview image, and through this, information on emotions in the member terminal by the evaluation result providing unit 1400 can provide In this case, the evaluation module by the artificial neural network learned by the deep learning may be used.

8 schematically shows a display screen in the applicant terminal according to the performance of the comprehensive evaluation providing unit 1410 of the evaluation result providing unit 1400 according to an embodiment of the present invention.

The evaluation result providing unit 1400 may provide various evaluation screens to the member terminal according to input from the member terminal. FIG. 8 shows a screen that provides a comprehensive evaluation according to an input from a member terminal (when the user inputs the AI synthesis of L3 of FIG. 8).

* The display element in the applicant terminal provided by the evaluation result providing step includes: an image layer (L1) capable of reproducing the interview image; an image information layer (L2) on which identification information, date, and explanatory information for the interview image can be displayed; a category layer (L3) capable of selecting two or more evaluation result categories; and automatic evaluation result layers L4, L5, and L6 in which automatic evaluation results for the selected evaluation result category are displayed among the two or more evaluation result categories.

In the image layer L1, an interview image may be played according to a user's input.

In the category layer (L3), as the evaluation result category is changed according to the user's input, the provided screen is switched. 'AI synthesis' of the category layer (L3) refers to providing the evaluation result by the comprehensive evaluation providing unit 1410, and 'personality characteristics' refers to providing the evaluation result by the personality characteristics providing unit 1420, and , 'frame-by-frame analysis' refers to providing an evaluation result by the frame-by-frame analysis providing unit 1430 .

That is, the screen in the applicant's terminal provided by the evaluation result providing step is displayed on the first screen (comprehensive evaluation providing unit 1410 or personality characteristic providing unit 1420) that displays elements for evaluation of the entire interview image. 8 and 7 displayed by the screen) and a second screen (the screens of FIGS. 10 to 13 displayed by the frame-by-frame analysis providing unit 1430) for displaying elements for evaluation of the partial units of the interview image include

A plurality of evaluation information is displayed in the automatic evaluation result layer (L4, L5, and L6 may correspond to this) of FIG. 8, and evaluation information based on the automatic evaluation information is displayed.

The plurality of evaluation information is a quantified value for one or more of favorable sensitivity, concentration, trust, liveliness, composure, communication ability, eye contact, kindness, use of habitual words, and pleasantness; and a comprehensive evaluation score, grade information, and recommendation index based on the quantified numerical value; and text evaluation information automatically created based on the evaluation information.

9 schematically shows a display screen in the applicant's terminal according to the performance of the personality characteristic providing unit 1420 of the evaluation result providing unit 1400 according to an embodiment of the present invention.

The evaluation result providing unit 1400 may provide various evaluation screens to the member terminal according to input from the member terminal. 9 shows a screen for providing personality characteristic evaluation according to input from the member terminal (when the user inputs personality characteristic L3 of FIG. 9 ).

The display element in the applicant terminal provided by the evaluation result providing step includes: an image layer (L1) capable of reproducing the interview image; an image information layer (L2) on which identification information, date, and explanatory information for the interview image can be displayed; a category layer (L3) capable of selecting two or more evaluation result categories; and an automatic evaluation result layer L7 in which an automatic evaluation result for a selected evaluation result category among the two or more evaluation result categories is displayed.

A plurality of evaluation information is displayed in the automatic evaluation result layer L7 of FIG. 9, and evaluation information based on the automatic evaluation information is displayed.

The plurality of evaluation information may include quantitative or grading information on one or more personality characteristics among openness, conscientiousness, extraversion, affinity, and neuroticism.

10 schematically illustrates a display screen in the applicant terminal according to the execution of the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 according to an embodiment of the present invention.

The display element in an embodiment of the screen of the applicant terminal displayed by the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 according to the user's input is an image layer ( L1); an image information layer (L2) on which identification information, date, and explanatory information for the interview image can be displayed; a category layer (L3) capable of selecting two or more evaluation result categories; And it includes an automatic evaluation result layer (L7) for displaying the elements for the evaluation of the partial unit of the interview image.

As shown in FIG. 10 , an interview image and an image timing element E1 indicating the time or frame position of the interview image are displayed on the image layer L1, and the automatic evaluation layer L7 contains the interview image. A graph element displaying a quantified numerical value for an evaluation element according to time or frame as a graph, and a graph timing element E2 indicating a time or frame position of the graph element are displayed.

In the automatic evaluation layer L7 of FIG. 10, a graph of the evaluation index according to the flow of time or frame is shown. Through this, it is possible to determine whether the person consistently maintained the corresponding evaluation index as a whole, at what timing there was a problem, or at what timing he did well.

Here, when the image timing element changes according to the input from the applicant terminal, for example, when the user clicks and drags the image timing element E1, corresponding to the change of the image timing element E1 The graph timing element E2 may be changed.

Alternatively, when the graph timing element E2 is changed according to an input from the supporter terminal, the image timing element E1 may change according to the change of the graph timing element E2 .

For example, when the user has a low or unstable evaluation index in a specific section in the automatic evaluation layer L7, the graph timing element E2 is moved to the corresponding section. In this case, the image timing element (E1) in the image layer moves to a timing or frame position corresponding to the position of the moved graph timing element (E2), and the user inputs the image play in this state, You can immediately see your own video in the corresponding section.

10(A) and (B) exemplarily show the interworking process of the graph timing element E2 and the image timing element E1 as described above. When the graph timing element E2 is moved to a specific position as shown in FIG. 10B , the image timing element E1 is moved to a position corresponding to the position of the graph timing element E2 .

11 schematically shows a display screen in the applicant terminal according to the execution of the gaze processing result provision by the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 according to an embodiment of the present invention.

The automatic evaluation information derived by the above-described interview image evaluation unit 1300 may include a plurality of location information of the user's gaze in a plurality of frames of the interview image.

That is, the interview image evaluation unit 1300 derives information on the position of the gaze for each frame or for each specific time period in consideration of image information of the user's eyes, and the like.

Thereafter, according to the user's input, the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 may provide the gaze processing result, and the display element in the applicant terminal provided accordingly is an automatic evaluation layer (L7). ) may include the position of the gaze according to the time section or frame section shown in ), the amount of variation, or the degree of suitability of gaze processing.

Preferably, the screen displayed by providing the gaze processing result may include a gaze information layer (L8) for displaying the cumulative result of gaze processing and a gaze information description layer (L9) for displaying a description of the gaze processing result. there is.

11, in the gaze information layer L8, a plurality of positions in the background layer are determined according to a plurality of position information of the user's gaze in a background layer that directly or indirectly displays the center of the gaze. Graphic elements of can be displayed overlapping.

In this way, the user can check the gaze change information over time through the automatic evaluation layer L7, and at the same time, check where his gaze is located on average through the gaze information layer L8. In addition, if the user confirms the frame or timing with severe gaze fluctuation in the automatic evaluation layer (L7) and places the graph timing element (E2) at the corresponding timing accordingly, the image timing element (E1) in the image layer (L1) It automatically moves to the corresponding position, and by simply clicking the image play button, the user can exert the effect of quickly grasping his/her own appearance when the gaze change is severe.

12 schematically shows a display screen in the applicant terminal according to the execution of the head movement result provision by the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 according to an embodiment of the present invention.

The automatic evaluation information derived by the above-described interview image evaluation unit 1300 may include information on the degree of the user's head movement in a plurality of frames of the interview image.

That is, the interview image evaluation unit 1300 derives information on the degree of head movement for each frame or for each specific time period in consideration of the user's head image information and the like.

Thereafter, according to the user's input, the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 may provide the head movement result, and accordingly, the display element in the applicant terminal provided is an automatic evaluation layer (L10). ) may include the average position of the head, the average height of the head, or the degree of head movement according to the time section or frame section shown in FIG.

In this way, the user can check information related to the head movement over time through the automatic evaluation layer L10. In addition, when the user checks the frame or timing with heavy head movement in the automatic evaluation layer (L10) and places the graph timing element (E2) at the corresponding timing accordingly, the image timing element (E1) in the image layer (L1) It automatically moves to the corresponding position, and the user simply clicks the image play button, thereby exhibiting the effect of quickly grasping his/her own appearance when the head moves violently.

13 schematically shows a display screen in the applicant's terminal according to the execution of the analysis result provision by the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 according to an embodiment of the present invention.

According to the user's input, the frame-by-frame analysis providing unit 1430 of the evaluation result providing unit 1400 may provide the result for the emotional change, and the display element in the applicant terminal provided accordingly is a time section or a frame section. It may include an emotion layer L11 including a graph of emotions according to

Each emotion, for example, anger, fear, surprise, etc., may be shown in the emotion layer L11 according to a time section or a frame section.

Preferably, in the emotion layer (L11), the graph is shown with different colors for each emotion, and the color of each emotion is preferably displayed.

Information on the emotional elements of the entire image is shown in the emotion synthesis layer L12, and preferably, the ratio of each emotional element is shown by graphic elements as shown in FIG. 13 .

Through the user interface as above, the user can check what kind of emotion he has to others during the interview, and similarly, the user checks the frame or timing in which a specific emotion was strong or weak in the emotion layer (L11), Accordingly, when the graph timing element E2 is positioned at the corresponding timing, the image timing element E1 in the image layer L1 automatically moves to the corresponding position, and the user simply clicks the image play button, It can exert the effect of quickly grasping the appearance of oneself when this strong or weak time.

14 schematically shows the performing steps of the support image setting unit according to an embodiment of the present invention.

In the present invention, the applicant confirms the evaluation of his/her own interview video in the service server, and submits or sets the interview video to be viewed at the institution to which he/she wants to apply, thereby performing an online interview. there is.

In the present invention, according to the operation of the interview image storage unit 1200 and the interview image evaluation unit 1300, the applicant shoots a plurality of interview images, sees the automatic evaluation for this, improves his interview method again, and performs an interview again By filming a video, you can secure an improved interview video while strengthening your interview skills.

Thereafter, the applicant may provide, submit, or share his/her interview video with the institution to which he/she wishes to apply.

In one embodiment of the present invention, if there is no question set specifically requested by the institution to be supported, only one's own interview video may be submitted to the institution to support.

Preferably, in one embodiment of the present invention, the applicant can conduct an online interview by submitting an interview video for each question requested by an institution to which he or she wishes to apply.

In relation to the above process, the support image setting unit receiving an input for a support organization from the corresponding applicant terminal (S30); providing information on one or more questions registered by the support organization to the applicant terminal (S31); Receiving interview image selection information of the applicant for each of the one or more questions registered by the support organization from the applicant terminal (S32); and updating the support information for the applicant's corresponding institution in the applicant's terminal (S33); is performed.

The application information updated in step S33 includes information to the effect that the applicant has applied for the relevant institution from the service server, and information about the interview video submitted by the applicant for each of the questions requested by the institution.

15 schematically illustrates an example of a display screen of a supporter terminal according to an operation of a support image setting unit according to an embodiment of the present invention.

The screen of the applicant terminal displayed by the support image setting step includes: an institution list layer (L100) displaying a list of institutions to be supported; a question layer (L110) displaying one or more questions of the selected institution; and an interview image layer (L120) for displaying the interview image stored by the applicant.

Here, any one or more of the interview images of the interview image layer may be input to each question of the question layer by operation in the applicant's terminal.

In the institution list layer L100, a list of institutions for which the applicant has inputted an application from the service server or the recruitment service server is displayed. The user may select an institution to which he or she will submit an interview image from the institution list layer (L100).

In the question layer L110, questions updated through the same procedure as in (A) of FIG. 4 are displayed at the institution where the applicant has selected to apply. Applicants can conduct an online interview by submitting their own interview videos for each question.

In the interview image layer (L120), one or more interview images in which the user can take a picture by the interview image evaluation unit 1300 and check the evaluation result by the evaluation result providing unit 1400 are displayed. That is, a list or summary display elements of the interview images previously taken by the applicant are displayed on the interview image layer (L120), and the user selects the interview image displayed on the interview image layer (L120) in each of the questions layer (L110). You can type in your question.

Preferably, the interview image layer (L120) includes a search layer (L121) capable of performing a search for the interview images taken by the interview image layer (L120) and a clip layer (L122) displaying clips of the interview image.

Each institution may not have exactly the same questions asked of its applicants. However, in the case of questions such as “Tell me about yourself”, “Tell me about yourself”, “Tell me about your characteristics”, and “Please explain your personality”, the same interview video is not available. Even if it is submitted as a response to this, there is no problem on the part of the institution.

Therefore, in the interface as shown in FIG. 15 of the present invention, when an applicant wants to apply to a plurality of institutions, an image is not taken for each of a plurality of questions presented by the institution, but an image for a similar question taken before is displayed. By enabling the upload, it is possible for applicants to significantly improve the convenience of using the online interview support performed in the service server of the present invention.

In addition, the interview image storage unit 1200 and the interview result providing unit 1400 of the service server of the present invention provide an interface that allows the user to add a comment or explanation to his or her interview image, so that the user can use a plurality of You can take an interview video, add a comment or explanation thereto, directly search for a video you want using the search layer L121, and enter an interview video for detailed questions about an organization you want to apply for.

16 schematically illustrates an example of a display screen of an institution terminal according to an operation of a support image providing unit according to an embodiment of the present invention.

The institution terminal may input questions presented to applicants who wish to apply to the institution through the question set update unit 1510 .

After that, the applicants check the questions updated by the institution terminal in the question set setting unit 1100, set a question set based on this, and shoot the interview image by the interview image storage unit 1200, After checking the feedback information by the evaluation result providing unit 1400 , afterward, according to the operation of the supporting image setting unit 1520 , it is possible to set the own interview image for each question presented by the institution to be supported.

Thereafter, the user of the institution logs in to the service server through the institution terminal as an institution, and the support image providing unit 1530 provides an interview for each question set by the institution of the applicant who applied for the institution in the support image providing step. An image is provided to the engine terminal.

The screen of the institutional terminal displayed by the support image providing unit 1530 includes: an applicant list layer (L200) displaying a list of applicants; a supporting image layer (L210) for displaying one or more questions of the selected applicant and an interview image submitted by the applicant for this; and an automatic evaluation result layer (L220) that displays or part of the automatic evaluation result performed by the interview image evaluation unit 1300 of the applicant and/or provides a selection input icon for confirming the automatic evaluation result do.

Preferably, the screen of the institutional terminal displayed by the support image providing unit 1530 is a criterion for the user of the institution terminal to display the applicants displayed in the applicant list layer L200 in a different order or to display only a part It may include a menu for setting the . In FIG. 16, the 'sort criterion' corresponds to a display element for inputting a menu in a different order.

Preferably, the criteria for displaying the applicants in a different order or displaying only a part may correspond to the factors evaluated by the interview image evaluation unit 1300 . For example, when the automatic evaluation information derived from the interview image evaluation unit 1300 includes good sensitivity, concentration, trust, liveliness, composure, communication ability, eye contact, and kindness, in the institutional terminal, for example, You can sort or sort the order of applicants based on their vitality. Alternatively, in the institutional terminal, for example, only applicants whose vitality is a predetermined value or level or higher may be displayed on the applicant list layer L200.

In this way, even from the perspective of the institution, the automatic evaluation result of the interview video can be used to quickly access the interview video of the applicant desired.

An embodiment of the present invention may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module to be executed by a computer. Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, computer-readable media may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism, and includes any information delivery media.

Although the methods and systems of the present invention have been described with reference to specific embodiments, some or all of their components or operations may be implemented using a computer system having a general purpose hardware architecture.

The description of the present invention described above is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

Claims (5)

As a method of providing an online interview using machine learning performed in a service server,
The service server includes an interview image storage unit and a support image setting unit,
an interview image storage step of transmitting, by the interview image storage unit, question information to an applicant terminal, and receiving and storing an interview image in which a response to each of the question information is performed from the applicant terminal; and
a support image setting step of setting, by the support image setting unit, to view the interview image at an institution to which the user is to apply based on an input from the applicant terminal;
The support image setting step is,
receiving an input for a support organization from a corresponding applicant terminal;
receiving, from the applicant terminal, selection information from among the interview images stored in the interview image storage step of the corresponding applicant for each of the one or more questions registered by the support institution; and
Updating the applicant's application information for the applicant's corresponding institution in the applicant's terminal; including;
The screen of the applicant terminal displayed by the support image setting step is,
a questionnaire layer displaying one or more questions of the selected institution; and
and an interview image layer that displays a list or summary display element of the interview image stored by the applicant in the interview image storage step;
A method of providing an online interview using machine learning, in which any one or more of the interview images of the interview image layer can be input to each question item of the question question layer by operation in the applicant's terminal.
delete The method according to claim 1,
The method of providing an online interview using the machine learning is,
Further comprising the step of providing a support image,
The method of providing an online interview using machine learning, wherein the support image providing step provides an interview image for each question set by the institution of the applicant who applied for the institution to the institution terminal.
A system that provides an online interview using machine learning implemented by a service server,
an interview image storage unit for transmitting question information to the applicant terminal and receiving and storing an interview image in which a response to each of the question information is performed from the applicant terminal; and
and a support image setting unit configured to set the user to view the interview image at an institution to which the user wishes to apply based on an input from the applicant terminal; and
The support image setting unit,
receiving an input for a support organization from a corresponding applicant terminal;
receiving, from the applicant terminal, selection information from among the interview images stored in the interview image storage unit of the applicant for each of the one or more questions registered by the support organization; and
Updating the applicant's application information for the relevant institution in the applicant's terminal; performing;
The screen of the support terminal displayed by the operation of the support video setting unit is,
a questionnaire layer displaying one or more questions of the selected institution; and
Including; an interview image layer for displaying a list or summary display element of the interview image of the applicant stored in the interview image storage unit;
A system for providing an online interview using machine learning, in which any one or more of the interview images of the interview image layer can be input to each question item of the question question layer by operation in the applicant's terminal.
A computer-readable recording medium in which a program for performing the method of providing an online interview using machine learning according to claim 1 is recorded.

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