KR20230102296A - System for managing human resources by using metaverse and Method thereof - Google Patents

Abstract

A human resource management system using a metaverse according to the present invention includes a communication module for receiving selection data and action data of at least one user terminal character for an event in a metaverse space; and a processor for analyzing the selection data according to an evaluation logic and processing the analyzed selection data and behavior data using artificial intelligence to determine a suitable project for the at least one user terminal character.

Description

Human resource management system and method using metaverse {System for managing human resources by using metaverse and Method thereof}

The present invention relates to a human resource management system and method using a metaverse.

Recently, a metaverse has been in the limelight as a representative service that provides a virtual world to users. Metaverse is a compound word of meta, which means processing and abstraction, and universe, which means the real world, and means a three-dimensional virtual world. It is an extended reality (XR) technology that encompasses augmented reality (AR) and mixed reality (MR).

Compared to the past technology (Korean Patent Registration No. 10-2215489), it is necessary to apply human resource management technology using the metaverse for effective personnel management.

The problem to be solved by the present invention is to provide a system and method for effective human resource management using the metaverse.

A human resource management system using a metaverse according to an example of the present invention includes a communication module for receiving selection data and behavior data of at least one user terminal character for an event in a metaverse space; and a processor for analyzing the selection data according to an evaluation logic and processing the analyzed selection data and behavior data using artificial intelligence to determine a suitable project for the at least one user terminal character.

In addition, the processor provides an event that follows a storyline to the at least one user terminal character in the metaverse space, analyzes selection data of the at least one user terminal character for the event according to an evaluation logic, and determines at least one user terminal character. A tendency and score are assigned, the at least one user tendency and score are compared with pre-stored reference data for each project, and the at least one user tendency and score for the at least one user terminal character and the pre-stored reference data for each project are compared. It can be processed to perform the first artificial intelligence learning for determining a suitable project for the at least one user terminal character using

In addition, the processor records the behavior data of the user terminal character, including coordinate data, access time data, access frequency data, and chat log data in the metaverse space of the user terminal character in the metaverse space, according to the previously stored behavior data. A tendency result may be determined, and a second artificial intelligence learning may be performed to determine a suitable project for the at least one user terminal character using the behavior data and the tendency result.

In addition, the second artificial intelligence learning may further use the MBTI result self-evaluated by the at least one user terminal character in addition to using the behavior data and propensity results to determine a suitable project for the at least one user terminal character. there is.

In addition, the processor may determine a suitable project for the at least one user terminal character using an artificial intelligence suitable project determination model using the first artificial intelligence learning and the second artificial intelligence learning.

In addition, the event corresponds to an event planned based on the Firo-b test and assigned a situation, and the evaluation logic may correspond to an analysis logic according to a Firo-b test analysis algorithm.

Human resource management system using a metaverse according to an example of the present invention, providing a metaverse space; generating a character of at least one user terminal; providing an event to a character of the at least one user terminal in the metaverse space; Collecting selection data and action data of a character of the at least one user terminal; analyzing the selection data according to an evaluation logic; and determining a suitable project for the at least one user terminal character by processing the selection data and the action data using artificial intelligence.

The event corresponds to an event planned based on the Firo-b test and assigned a situation, and the evaluation logic may correspond to an analysis logic according to a Firo-b test analysis algorithm.

In addition, the behavioral data may correspond to data on behaviors performed by the at least one user terminal character at times other than during the event.

According to the human resource management system using the metaverse according to the present invention, it is possible to assign or assign the optimal project to a specific person using the metaverse, so it is efficient and effective for both corporate personnel managers and corporate applicants or corporate employees.

According to the human resource management system using the metaverse according to the present invention, since the user cannot learn in advance, it has the advantage of increasing the discrimination power of personnel verification.

According to the human resource management system using the metaverse according to the present invention, corporate personnel managers can meet corporate job applicants within the metaverse, and by providing experience on actual work to corporate job applicants, job performance without additional resource input ability can be assessed.

According to the human resource management system using the metaverse according to the present invention, it can be used as a comprehensive recruitment window by identifying basic job understanding and interpersonal relationship desire propensity of applicants for company employment without additional input of resources.

According to the human resource management system using the metaverse according to the present invention, corporate job applicants do not take an aptitude test, but rather experience the company they want to join, so that natural human data generated at this time can be customized It can be used in the resource selection process.

1 is a diagram for explaining the entire system according to an embodiment of the present invention.
2 is a flowchart illustrating a human resource management method using a metaverse according to an example of the present invention.
3 is a diagram showing the configuration of a human resource management method using a metaverse according to an example of the present invention.
4 is a diagram for explaining data for an evaluation logic applied to a human resource management method using a metaverse according to an example of the present invention.
5 is a diagram for explaining selection data in which Firo-b is reflected according to an example of the present invention.
6 is a diagram for explaining behavioral data according to an example of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

In the present specification, when a part 'includes' a certain component, it means that it may further include other components without excluding other components unless otherwise stated. As used herein, '~ module' is a unit that processes at least one function or operation, and may mean, for example, software, FPGA, or hardware component.

Functions provided by '~module' may be performed separately by a plurality of components or may be integrated with other additional components.

The '~ module' in this specification is not necessarily limited to software or hardware, and may be configured to be in an addressable storage medium or configured to reproduce one or more processors. Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

1 is a diagram for explaining the entire system according to an embodiment of the present invention.

The entire system 1 includes a human resource management system 10 using a metaverse, a user terminal 20 and a manager terminal 30.

The human resource management system 10 is connected to the user terminal 10 and the manager terminal 30 through a network, where the user terminal 10 and the manager terminal 30 are computing devices such as desktops, smartphones, and tablets. device may be included.

The human resource management system 10 includes a communication module 11 and a processor 13 .

The processor 13 provides a metaverse space to the user terminal 10 and, when the user terminal 10 accesses it, creates a character of the accessed user terminal 10 so that the character can perform various actions and actions in the metaverse space. to experience the event.

For example, the metaverse space may correspond to a place where the actual company space is digitally twinned, and the user can grasp job experience, company structure, etc. in the metaverse space, and the company can check the applicant's behavior data there is.

Here, the processor 13 allows simultaneous access of one or more user terminals in the metaverse space so that characters of a plurality of user terminals can experience various actions and events in the metaverse space.

The communication module 11 receives selection data and action data of at least one user terminal character for various events in the metaverse space provided to the user terminal 10 .

Here, the selection data may correspond to data corresponding to a selection answer to an event provided by the processor 13 by providing an event following a storyline to the at least one user terminal character in the metaverse space, FIG. 5 and An example is shown in FIG. 6 .

Here, the event may correspond to an event that is planned based on the Firo-b test and given a context.

The processor 13 may analyze selection data of the at least one user terminal character for the event according to an evaluation logic.

Here, the evaluation logic may correspond to analysis logic according to the Firo-b test analysis algorithm.

The processor 13 may assign at least one user tendency and score through the evaluation logic, for example, the Firo-b test analysis algorithm. Here, the at least one user tendency may correspond to Firo-b's expression behavior, expected behavior, belongingness desire, control desire, emotional need, etc., and scores may be assigned to each of the six matrices according to the combination thereof. As an example drawing of Firo-B, the first picture of FIG. 4 shows information about Firo-b.

The processor 13 may compare the at least one user trend and score with pre-stored reference data for each project. Here, the pre-stored reference data for each project may correspond to, for example, the evaluation logic result data of the existing personnel for each project.

The processor 13 may determine a suitable project for the at least one user terminal character using at least one user tendency and score for the at least one user terminal character and the pre-stored reference data for each project.

The processor 13 performs artificial intelligence learning to determine a suitable project for the at least one user terminal character using at least one user tendency and score for the at least one user terminal character and the pre-stored reference data for each project. A suitable project for the at least one user terminal character may be determined using an artificial intelligence suitable project determination model using the artificial intelligence learning.

Here, the at least one user tendency for the at least one user terminal character may additionally include an MBTI test result performed by the user of the user terminal 20, and in this case, the processor 13 may, for example, Firo-b and MBTI test results.

The processor 13 records the behavior data of the user terminal character including coordinate data, access time data, access frequency data, and chat log data in the metaverse space of the user terminal character in the metaverse space to store the previously stored behavior data. It is possible to further judge the result of the propensity.

The processor 13 may process to perform artificial intelligence learning to determine a suitable project for the at least one user terminal character using the behavior data and the tendency result, and determine an artificial intelligence suitable project using the artificial intelligence learning. A suitable project for the at least one user terminal character may be determined using a model.

2 is a flowchart illustrating a human resource management method using a metaverse according to an example of the present invention. The human resource management method using the metaverse may be performed by the human resource management system 10 using the metaverse shown in FIG. 1 .

Referring to FIG. 2 , the human resource management system 10 provides a metaverse space to the user terminal 20 (S10). At this time, the user terminal 20 accessing the human resource management system 10 may correspond to one or more user terminals.

Thereafter, a character of at least one user terminal 20 to be active in the metaverse space is created (S20), and an event is provided to the character of the at least one user terminal 20 in the metaverse space (S30). At this time, the event may correspond to an event planned based on the Firo-b test and given a situation. It can include events that allow the subject to make a choice. At this time, selection of an option by at least one user terminal 20 may correspond to selection data.

In addition, behavior data in which the character of the at least one user terminal 20 is active in the metaverse space may appear, and the behavior data includes coordinate data in the metaverse space of the user terminal character in the metaverse space, and access time data. , access frequency data and chat log data.

At this time, according to the design, the behavioral data may correspond to data about behaviors performed by the at least one user terminal character at a time other than during the event.

Thereafter, the selection data and behavior data of the character of the at least one user terminal 20 may be collected (S40), the selection data is analyzed according to the evaluation logic (S50), and the selection data and the behavior data are analyzed. A suitable project for the at least one user terminal character may be determined by processing using artificial intelligence (S60).

3 is a diagram showing the configuration of a human resource management method using a metaverse according to an example of the present invention. FIG. 3 is an exemplary detailed configuration of the entire system 1 of FIG. 1 .

Referring to FIG. 3 , the user terminal 20 can access the metaverse space, and upon access, the character of the user terminal 20 is created. For example, the metaverse space may correspond to a real enterprise environment implemented as a virtual space.

The character of the user terminal 20 may generate selection data through selection of the event described above, and may generate data according to its own MBTI test and behavior data due to character activity in the metaverse space.

These data may be collected in, for example, a cloud server of the human resource management system 10 using the metaverse, and may be stored in a DB through data organization. At this time, the data on the new user may be selectively stored as a new user DB so as to be distinguished from the existing personnel DB, which is previously collected data.

As described above, the human resource management system 10 using the metaverse can perform data processing of the selection data, data according to the MBTI test, behavioral data, etc. through the AI server, and accordingly, the user terminal 20 It can determine recommended projects or suitable departments.

This determination result data may be stored in a DB and provided to the manager terminal 30 .

4 is a diagram for explaining data for an evaluation logic applied to a human resource management method using a metaverse according to an example of the present invention.

Referring to Figure 4, the human resource management system 10 using the metaverse can perform data processing through the AI server for the selection data, data according to the MBTI test, behavioral data, etc. as described above.

For example, the upper figure of FIG. 4 is a diagram for explaining the Firo-b test. The Firo-b test classifies six behavioral needs in a matrix form as shown in the figure, and according to the event selection of the character of the user terminal 20, a score can be assigned to the corresponding area of the matrix as shown in the figure below, and the total can also be calculated.

The middle figure of FIG. 4 shows the contents of MBTI, and describes that MBTI result data checked by the user terminal 20 can be applied.

The lower figure of FIG. 4 shows characters of a plurality of user terminals 20, and indicates that behavioral data for calculating project suitability is recorded by recording behavioral patterns of the characters.

Such data can be learned using artificial intelligence, and a project appropriateness judgment can be made through the resulting learning result.

5 is a diagram for explaining selection data in which Firo-b is reflected according to an example of the present invention, and FIG. 6 is a diagram for describing behavior data according to an example of the present invention.

Referring to FIG. 5 , for example, a general manager's question corresponding to an event may be given to a user terminal character 'Soil', and the user terminal character may select one of A, B, and C. Depending on the selection result, points may be awarded. At this time, the example question of FIG. 5 corresponds to the question about 'affiliation' of Firo-b of FIG. 4 .

Referring to FIG. 6, for example, actions performed by a user terminal character at a time other than an event are shown, and character coordinate data, access time data, access frequency data, chat logs, etc. according to the character's behavior are recorded. As described above, using the collected behavioral data, a suitable project for the at least one user terminal character is determined.

The present invention has the effect of making effective job suitability judgments in the HR field by comprehensively using evaluation logic, MBTI, behavioral data, and artificial intelligence as described above.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA) array), programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions.

A processing device may run an operating system and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art know that a processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It will be understood that it can include

For example, a processing device may include a plurality of processors or a processor and a controller. Also, other processing configurations are possible, such as a parallel processor. Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device.

Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. Computer readable media may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CDROMs and DVDs, and ROMs, RAMs, and flash memories. hardware devices specially configured to store and execute program instructions, such as; Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved. Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (9)

In the human resource management system using the metaverse,
A communication module for receiving selection data and action data of at least one user terminal character for an event in the metaverse space; and
A processor that analyzes the selection data according to an evaluation logic and processes the analyzed selection data and the behavior data using artificial intelligence to determine a suitable project for the at least one user terminal character; Human resource management system used. According to claim 1,
the processor,
In the metaverse space, an event following a storyline is provided to the at least one user terminal character, and at least one user tendency and score are given by analyzing selection data of the at least one user terminal character for the event according to an evaluation logic. and compares the at least one user tendency and score with pre-stored reference data for each project,
Processing to perform first artificial intelligence learning for determining a suitable project for the at least one user terminal character using at least one user tendency and score for the at least one user terminal character and the previously stored reference data for each project Human resource management system using the metaverse, characterized in that. According to claim 3,
the processor,
In the metaverse space, the user terminal character's behavior data including coordinate data, access time data, access frequency data, and chat log data in the metaverse space of the user terminal character is recorded to determine a propensity result according to the previously stored behavior data; ,
A human resource management system using a metaverse, characterized in that for processing to perform a second artificial intelligence learning for determining a suitable project for the at least one user terminal character using the behavioral data and the inclination result. According to claim 3,
The second artificial intelligence learning,
In addition to using the behavior data and propensity results to determine a suitable project for the at least one user terminal character, the MBTI result self-evaluated by the at least one user terminal character is further used. management system. According to claim 3 or 4,
the processor,
A human resource management system using a metaverse, characterized in that for determining a suitable project for the at least one user terminal character using an artificial intelligence suitable project determination model using the first artificial intelligence learning and the second artificial intelligence learning. According to claim 2,
The event corresponds to an event planned based on the Firo-b test and given a context,
The evaluation logic is a human resource management system using a metaverse, characterized in that it corresponds to the analysis logic according to the Firo-b inspection analysis algorithm. A human resource management system using the metaverse,
providing a metaverse space;
generating a character of at least one user terminal;
providing an event to a character of the at least one user terminal in the metaverse space;
Collecting selection data and action data of a character of the at least one user terminal;
analyzing the selection data according to an evaluation logic; and
Processing the selection data and the action data using artificial intelligence to determine a suitable project for the at least one user terminal character; human resource management method using a metaverse, characterized in that it comprises a. According to claim 7,
The event corresponds to an event planned based on the Firo-b test and given a context,
The evaluation logic is a human resource management method using a metaverse, characterized in that it corresponds to the analysis logic according to the Firo-b inspection analysis algorithm. According to claim 8,
The behavioral data
Human resource management method using a metaverse, characterized in that the data on the behavior performed by the at least one user terminal character at a time other than the event.

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