WO2023153557A1

WO2023153557A1 - Labor management system and method

Info

Publication number: WO2023153557A1
Application number: PCT/KR2022/004488
Authority: WO
Inventors: 이선교
Original assignee: 주식회사 케이블러썸
Priority date: 2022-02-11
Filing date: 2022-03-30
Publication date: 2023-08-17
Also published as: KR20230121519A

Abstract

The present invention: collects company information of a target company and personal information of each employee; identifies company characteristics by using the company information; identifies individual characteristics of each employee by using the personal information; identifies employee-specific identification words and employee-specific multiple unit conversation topics by using the company characteristics and the individual characteristics of each employee; conducts a conversation with each employee on the unit conversation topics of conversation topics for questioning selected for the employee, and then analyzes the conversation with each employee so as to identify from the result of the conversation at least three conclusions; and generates a visual report by displaying the at least three conclusions in different colors.

Description

Labor management system and method

The present invention relates to online labor consulting technology, and more particularly, to a labor management system and method for providing labor consulting through a conversation through a chatbot on the subject of at least one of the characteristics of a specific company, characteristics of each department, and characteristics of each employee. .

Currently, an increasing number of companies are receiving labor consulting from professional labor attorneys to enhance their competitiveness, improve working conditions and labor-management relations, and personnel management.

However, offline labor consulting is expensive, takes a lot of time, and has disadvantages in that it is difficult to maintain personal confidentiality, making it difficult for companies to receive labor consulting.

The present invention is to provide a labor management system and method that enables non-face-to-face labor consulting to be provided in an environment where face-to-face is limited as in the present.

In addition, the present invention is to provide a labor management system and method that can receive labor consulting that guarantees anonymity while being easy and convenient in companies or institutions.

Labor management method according to an embodiment of the present invention for solving the above problems comprises the steps of collecting company information of the target company; Collecting personal information of each employee; identifying company characteristics using the company information and identifying individual characteristics of each employee using the personal information; selecting identification words for each employee using the company characteristics and individual characteristics of each employee; selecting a plurality of unit conversation topics for each employee using the company characteristics and individual characteristics of each employee and selecting the plurality of unit conversation topics as a conversation topic for each employee; Conducting a conversation with each employee and each unit conversation topic of the conversation topic for question selected for the employee; Analyzing the conversation with each employee and identifying the conversation result as at least three results; and generating a visualized report by displaying the at least three or more results in different colors.

The labor management method according to an embodiment of the present invention includes the steps of analyzing a conversation with each employee and generating a consultation result of a standardized setting form; determining whether an identification word corresponding to a corresponding employee is included in the consultation result; and if the identification word is included in the counseling result, deleting the identification word, replacing it with another word, or not recognizing the identification word.

The labor management method according to an embodiment of the present invention may further include setting an access time for each employee using the company characteristics and individual characteristics of each employee. If the requested time is included in the access time set for the employee, the conversation may be accepted, otherwise the conversation may be rejected.

The conducting of the conversation includes the step of having a conversation with the employee on an in-depth conversation topic set in response to the first unit conversation topic with respect to an employee whose conversation result of the first unit conversation topic is 'concerned' or 'serious'. can include

Labor management system according to another embodiment of the present invention for solving the above problems is an information collection unit for collecting personal information for each of the company information and executives and employees of the company to perform labor consulting; a feature identification unit that analyzes the company information to identify company characteristics and identifies personal characteristics of executives and employees using the personal information; a conversation topic selector selecting a plurality of unit conversation topics for each employee using the company characteristics and individual characteristics of each employee, and selecting the plurality of unit conversation topics as a conversation topic for each employee; It has a natural language processing function and multilingual support function, identifies a person who is logged in when an employee or executive connects, identifies a conversation topic for a question selected for the identified person, and then identifies a plurality of unit conversation topics included in the conversation topic for questioning a chatbot that conducts a conversation with that person; a counseling evaluation unit that analyzes an employee's response for each unit conversation topic received from the chatbot, evaluates one of at least three conversation results, and generates an evaluation result in a standardized setting form; and a visualization processor generating a traffic light report displaying three or more conversation results for each unit conversation topic received from the counseling evaluation unit in different colors.

The labor management system according to another embodiment of the present invention may further include an access time setting unit for setting an access time for each employee using the company characteristics and individual characteristics of each employee, and the chatbot is A conversation can be accepted if the time is included in the access time set for that employee, otherwise the conversation can be rejected.

The labor management system according to another embodiment of the present invention may further include an identification word identification unit for identifying an identification word for identifying a corresponding executive or employee using the company characteristics and personal characteristics, wherein the If the identification word for the corresponding employee or executive is included in the evaluation result of the standardized setting form, the counseling evaluation unit may delete the identification word, replace it with another word, or make it unrecognizable.

The chatbot may conduct a conversation with an employee for whom the conversation result of the first unit conversation topic is 'concerned' or 'severe' with the corresponding employee on an in-depth conversation topic set in correspondence with the first unit conversation topic.

The information collection unit may change department names into standardized names in the organization chart of the company included in the company information and store them.

The present invention enables labor consulting, such as management diagnosis or sexual harassment in the workplace, anytime and anywhere through a chatbot that has a natural language conversation, and can easily access problems with conversation topics that reflect the characteristics of the company, position, and department. It guarantees anonymity through non-identification processing function, and makes it easy to understand consulting results through visualization using color.

1 is a conceptual diagram of a labor management service according to an embodiment of the present invention.

2 is a block diagram of a labor consulting server according to an embodiment of the present invention.

3 is a schematic flowchart of a labor management method according to an embodiment of the present invention.

4 is a flowchart showing a chatbot conversation method in a labor management method according to an embodiment of the present invention.

5 is an exemplary diagram showing a traffic light report among results of a labor management service according to an embodiment of the present invention.

Hereinafter, the embodiments disclosed in this specification will be described in detail with reference to the accompanying drawings, but the same or similar elements are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted. In addition, in describing the embodiments disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the embodiment disclosed in this specification, the detailed description thereof will be omitted.

Terms including ordinal numbers, such as first and second, may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, each step described can be performed regardless of the listed order, except for the case where it must be performed in the listed order due to a special causal relationship.

In this application, terms such as "comprise" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Hereinafter, the present invention will be described with reference to the accompanying drawings.

1 is a conceptual diagram of a labor management service according to an embodiment of the present invention. Referring to FIG. 1 , a labor management service according to an embodiment of the present invention is provided by a labor consulting server 100 located on the Internet. The labor management service provided by the labor consulting server 100 provides an artificial intelligence-based chatbot when providing labor consulting for a specific company A, so that executives and employees of company A (hereinafter collectively referred to as “employees”) It enables the terminal of ") to conduct natural language conversations with the chatbot, collect the results of natural language conversations of each executive and employee, analyze the results of natural language conversations by executive and employee, and provide consulting results. Here, the consulting result is at least one of a standardized consultation result, a traffic light report, a labor check-up report, an resignation index, and a same industry index.

A chatbot is a computer program implemented with a system to communicate with users by text or voice. It is open 24 hours a day on SNS (social media) such as call centers, PC and mobile websites, and KakaoTalk, allowing access anytime, anywhere through various channels. , and a conversation request may be made to the employee terminal, or the employee terminal may request a conversation. The chatbot can be provided as a chatbot in the form of a metaverse, in which case the accessibility of employees can be further facilitated.

The labor consulting server 100 may collect characteristic information of the company and each employee from company officials or/and each employee to set a conversation topic (ie, consulting topic) in advance for each employee. The conversation topic may be survey content (question content) that induces an employee to answer, or may be a topic for two-way conversation. A plurality of such conversation topics are set in advance, and at least one or more are selected according to the characteristics of the company and the characteristics of the employees.

For example, for executives, conversation topics for personnel management or management are set, and for employees with lower ranks, conversation topics such as interpersonal relationships with superiors or in-house sexual harassment are set, and for employees of the development team, conversation topics for each employee are set. Consulting topics for product development can be set. At least one conversation topic for each employee may be set.

The conversation between the employee and the chatbot can be conducted once, but consulting can be conducted multiple times, such as 3 times, 4 times, 5 times, etc., and consulting can be conducted on different topics for each session.

The labor consulting server 100 identifies the employee who accesses the chatbot through the authentication process during the chatbot conversation to identify the consulting topic, but deletes the information identifying the employee when creating the consulting result, and identifies the employee in the conversation. filtering (removing) specific words (hereinafter referred to as “identification words”) that can be identified to ensure the employee’s anonymity.

The labor consulting server 100 enables quantitative visualization by applying a traffic light system to the result report.

The labor consulting service through the labor consulting server 100 improves the accessibility of employee surveys for comprehensive labor consulting through an interactive chatbot, and enables entity keyword search for artificial intelligence chatbots specialized in labor management diagnosis, customized Through consultation, it is possible to prevent labor and work harmful factors, and to expand to the metabus chatbot service, enabling the provision of specialized non-face-to-face labor service solutions that can accompany the 4th industrial revolution.

2 is a block diagram of a labor consulting server according to an embodiment of the present invention. Referring to FIG. 2 , the labor consulting server 100 according to an embodiment of the present invention includes an information collection unit 110, a characteristic identification unit 120, an access time setting unit 130, and an identification word identification unit 140. , a conversation topic selector 150, a chatbot 160, a consultation evaluation unit 170, a visualization processing unit 180, and a storage unit 190.

The information collection unit 110 collects information about companies (including organizations) to perform labor consulting and personal information about executives and employees. The information collection method in the information collection unit 110 may be collected by at least one of information collection by crawling, direct input by a person concerned in the company, and direct input by employees and executives. The information collected at this time includes the type of business of the company, the location of the head office, the location of the branch office, an organization chart including executive and employee information of each organization (department), sales products, and financial statements. The information collected by the information collection unit 110 is stored in the company and employee information storage unit 191 .

The information collection unit 110 changes department names into standardized names in the organization chart of the corresponding company and stores them. For example, in the case of a department in charge of product sales, it is called 'Marketing Department', 'Sales Department', 'Sales Department', 'Sales Department', etc. In this case, it is standardized as 'Marketing Department' and stored.

In the above, the company information includes the company's type of business, sales product (or service solution), business history, organization chart, etc., and the organization chart includes each department, position for each department, and personal identification information for each position. And personal information about executives and employees includes position, department, date of joining, personally identifiable information, working hours, working location, gender, age, nationality, working hours (e.g., 9:00 am to 6:00 pm), type of work, etc. do.

The characteristic identification unit 120 analyzes the company information collected by the information collection unit 110 to determine the company characteristics of the corresponding company (or organization). Company characteristics are labor characteristics that are identified using the size of the company, the welfare provided by the company, the industrial group, and whether there is a union. The characteristic of such labor is preset as a plurality of characteristics, and the characteristic identification unit 120 sets one of the plurality of characteristics by using the size of the company, welfare provided by the company, industrial group, union, and the like.

Then, the feature identification unit 120 identifies personal characteristics of executives and employees using the personal information collected by the information collection unit 110 . Personal characteristics include basic characteristics identified through gender, job title, and duties, and additional characteristics identified as foreigner status, work area, and work hours. A plurality of basic characteristics and additional characteristics are set, and the feature identification unit 120 identifies one of the plurality of basic characteristics and one of the plurality of additional characteristics using personal information. The company characteristics and individual characteristics identified by the feature identification unit 120 are stored in the company and employee information storage unit 191 .

The access time setting unit 130 sets the access time for each employee (ie, the time to start a conversation with the chatbot) using the basic characteristics, additional characteristics, conversation topics, and working hours of each employee (including executives), and sets One access time is notified to the corresponding employee, and the chatbot 160 enables a conversation with the corresponding employee only during the set connection time when the corresponding employee approves. The reason for setting the access time is for an employee who wants to have a conversation with the chatbot 160 in an environment where there are no other people. The access time set by the access time setting unit 130 is a set time range, a time zone other than working hours, and the set conversation time can be changed according to the request of the employee. Information on the access time for each employee (including executives) set by the access time setting unit 130 is stored in the company and employee information storage unit 191.

The identification word identification unit 140 identifies the executive or employee by using company characteristics and personal characteristics in order to prevent the identity of the executive or employee from being identified in the counseling result prepared by the counseling evaluation unit 170. figure out the words Identification words are words that allow the identification of the employee or executive, that is, words that allow the employee or executive to be identified, for example, words that can identify gender, the department or department in charge of the employee These are words that can identify the job, words that can identify the position of the employee, words that can identify age, that is, words that can identify the age group, and words that can identify foreigners. The identification word identification unit 140 identifies identification words for each executive and employee and stores them in the company and employee information storage unit 191 .

The conversation topic selector 150 selects one or more of the plurality of conversation topics stored in the conversation topic storage unit 192 based on company characteristics and personal characteristics as a conversation topic for each employee (including executives) with the chatbot 160 do. For example, the conversation topic selection unit 150 may include a first conversation topic based on gender, a second conversation topic based on foreigner status, a third conversation topic based on position, a fourth conversation topic based on work, and a fifth conversation topic based on company characteristics. A conversation topic is selected, and the selected first to fifth conversation topics are set as conversation topics for questions of the corresponding employee. Accordingly, the conversation topic for questioning includes a plurality of conversation topics. Hereinafter, each of a plurality of conversation topics in the question conversation topic is referred to as a unit conversation topic.

The chatbot 160 has a natural language processing function and a multilingual support function, identifies a person who has accessed an employee or an executive at the time of access, and determines whether the person who has accessed the connection meets the access time set by the access time setting unit 130. If the connection time is not met, the connection is blocked. In addition, the chatbot 160 conducts a conversation with the person who has access according to the connection time according to the conversation topic for questions set by the conversation topic selector 150, and when the unit conversation topic is finished, the conversation on the corresponding unit conversation topic, that is, the employee The answers of are provided to the counseling evaluation unit 170 .

The consultation evaluation unit 170 analyzes the employee's responses received from the chatbot 160, evaluates one of at least three conversation results, for example, good, concerned, and serious, and provides the evaluation result to the visualization processing unit 180, In the case of concern or seriousness, the chatbot 160 is provided with an in-depth topic corresponding to the corresponding unit topic, so that the chatbot 160 has a conversation on the in-depth topic. And the consultation evaluation unit 170 generates a consultation result of a standardized setting form. At this time, when the consultation result is generated, it is determined whether there is an identification word of the employee identified by the identification word identification unit 140 in the consultation result, If there is an identification word, the corresponding identification word is deleted, replaced with another word, or processed so as not to be recognized.

The visualization processing unit 180 generates a traffic light report displaying evaluation results for each employee (including executives) received from the counseling evaluation unit 170 in different colors.

The storage unit 190 includes a company and employee information storage unit 191, a conversation topic storage unit 192, and an evaluation result storage unit 193. The company and employee information storage unit 191 includes information collected by the information collection unit 110, characteristic information identified by the feature identification unit 120, access information for each employee set by the access time setting unit 130, and identification The identification word for each employee identified by the word identification unit 140 and the conversation topic for questioning for each employee selected by the conversation topic selection unit 150 are stored. The conversation topic storage unit 192 stores a plurality of unit conversation topics and in-depth conversation topics corresponding to each unit conversation topic. In addition, the evaluation result storage unit 193 stores the consultation result for each employee generated by the consultation evaluation unit 170 and the traffic light report for each employee generated by the visualization processing unit 180 .

3 is a schematic flowchart of a labor management method according to an embodiment of the present invention. Referring to Figure 3, the labor consulting server 100 collects the company information of the consulting target company (S101). And labor consulting server 100 collects personal information of each employee (S101).

When the information of the company and the information of each employee is collected, the labor consulting server 100 identifies personal characteristics including basic characteristics and additional characteristics of the company characteristics and each employee of the company (S103).

The labor consulting server 100 selects identification words for each employee using company characteristics and individual characteristics of each employee (S104).

The labor consulting server 100 identifies at least one unit conversation topic for each employee using the company characteristics of the identified company and individual characteristics of each employee, and selects a conversation topic for questioning by combining the identified plurality of unit conversation topics ( S105).

The labor consulting server 100 sets the access time using the personal characteristics, the type of unit conversation topic, and the employee's working hours (S106).

Types of unit conversation topics include ordinary topics that do not require attention from the surroundings, and topics that are burdensome to the surroundings, such as sexual harassment or relationships with superiors. It is necessary to have a conversation at home or outside. In addition, in the case of an employee whose work place is overseas, it is necessary to set the access time in consideration of the time difference with Korea time.

When the setting of the conversation topic and access time for each employee is completed, the labor consulting server 100 requests a conversation with the terminal of the corresponding employee at the set conversation time or requests access to the server 100 to have a natural language conversation with the set conversation topic. , and collects conversation contents (ie, conversation results) to match and store the identification information of the corresponding employee (S107).

When the labor consulting server 100 finishes the conversation with the corresponding employee, as shown in FIG. 5, the communication result of the corresponding employee is visualized and a traffic light report is generated (S108).

5 is an exemplary diagram showing a traffic light report among results of a labor management service according to an embodiment of the present invention. As shown in FIG. 5, the visualization processing result shows the conversation topic provided to the employee. If the consulting result on the conversation topic is at a good level, it is displayed in yellow green, and if the consulting result on the conversation topic is at a level of concern, it is displayed in yellow. , and if it is a serious (or bad) level, it is marked in red.

For example, in the case of employee 2 of the sales department, as a result of having a conversation (consulting) on unit conversation topic 1, it was marked as a level of concern, and according to the level of concern, a conversation with in-depth topic 1 on unit conversation topic 1 was conducted again, and the result was a bad level. indicates that it came out. And for unit conversation topic 2 and unit conversation topic 3, employee 2 of the sales department showed a good level.

Here, among unit conversation topics, unit conversation topic 1, unit conversation topic 2, and unit conversation topic 3 have a topic that allows conversation again as an in-depth topic when the counseling result comes out at a level of concern or bad, and unit conversation topic 4 and unit conversation topic 5, there is a conversation topic without an in-depth topic.

In FIG. 5 , it can be seen that conversation topics are partially different for each department type. This is because department characteristics are reflected when conversation topics are selected.

Finally, the labor consulting server 100 checks whether there is an identification word for each employee with respect to each employee's answer, and if there is an identification word, the corresponding word is deleted or processed as a number, picture, or unreadable image. Thus, a consultation result, that is, a consultation result in a standardized setting form is generated, and the generated consultation result is provided (S109).

4 is a flowchart showing a chatbot conversation method in a labor management method according to an embodiment of the present invention. Referring to FIG. 4 , a specific executive or employee, that is, a target person A accesses the labor consulting server 100 and requests a chat (S201). Then, the labor consulting server 100 identifies the connected target person A, and determines the connection time set for the identified target person A (S202).

If the access time for the subject A is set, the labor consulting server 100 identifies the set access time and compares the access time with the current time (S204). The labor consulting server 100 allows access to subject A if the current time is within the access time range through step S204 (S205), and rejects access if the current time is not within the access time range (S206). .

When access is allowed, the labor consulting server 100 identifies the conversation topic for questioning set for the target person A (S207), and converts it into one unit conversation topic according to a predetermined order among a plurality of unit conversation topics included in the conversation topic for questioning. Chatting, that is, a conversation is performed with the target person A (S208). Then, the labor consulting server 100 grasps the result of the conversation with the unit conversation topic (S209).

Of course, the labor consulting server 100 has a conversation with the subject A with all unit conversation topics included in the question conversation topic, and if the conversation result is 'concern' or 'serious', the conversation is conducted with an in-depth conversation topic. Create a consultation result and traffic light report using the conversation result.

The technical features disclosed in each embodiment of the present invention are not limited to the corresponding embodiment, and unless incompatible with each other, the technical features disclosed in each embodiment may be merged and applied to other embodiments.

Therefore, in each embodiment, each technical feature is mainly described, but each technical feature may be merged and applied to each other unless incompatible with each other.

The present invention is not limited to the above-described embodiments and accompanying drawings, and various modifications and variations will be possible from the viewpoint of those skilled in the art to which the present invention belongs. Therefore, the scope of the present invention should be defined by not only the claims of this specification but also those equivalent to these claims.

Claims

Collecting company information of the target company;

Collecting personal information of each employee;

identifying company characteristics using the company information and identifying individual characteristics of each employee using the personal information;

selecting identification words for each employee using the company characteristics and individual characteristics of each employee;

selecting a plurality of unit conversation topics for each employee using the company characteristics and individual characteristics of each employee and selecting the plurality of unit conversation topics as a conversation topic for each employee;

Conducting a conversation with each employee and each unit conversation topic of the conversation topic for question selected for the employee;

Analyzing the conversation with each employee and identifying the conversation result as at least three results; and

A labor management method comprising generating a visualized report by displaying the at least three or more results in different colors.
According to claim 1,

Analyzing the conversation with each employee to generate a consultation result in a standardized setting form;

determining whether an identification word corresponding to a corresponding employee is included in the consultation result; and

The labor management method further comprising the step of deleting, replacing, or not recognizing the identification word if the identification word is included in the counseling result.
According to claim 1 or 2,

Further comprising the step of setting an access time for each employee using the company characteristics and individual characteristics of each employee,

In the step of conducting the conversation, the labor management method accepts the conversation when the time when the employee requests the conversation is included in the access time set for the employee, and rejects the conversation otherwise.
According to claim 1 or 2,

The conducting of the conversation includes the step of having a conversation with the employee on an in-depth conversation topic set in response to the first unit conversation topic with respect to an employee whose conversation result of the first unit conversation topic is 'concerned' or 'serious'. Including labor management methods.
Information collection unit that collects company information of the company that will conduct labor consulting and personal information about each employee;

a feature identification unit that analyzes the company information to identify company characteristics and identifies personal characteristics of executives and employees using the personal information;

a conversation topic selector selecting a plurality of unit conversation topics for each employee using the company characteristics and individual characteristics of each employee, and selecting the plurality of unit conversation topics as a conversation topic for each employee;

It has a natural language processing function and multilingual support function, identifies a person who is logged in when an employee or executive connects, identifies a conversation topic for a question selected for the identified person, and then identifies a plurality of unit conversation topics included in the conversation topic for questioning a chatbot that conducts a conversation with that person;

a counseling evaluation unit that analyzes an employee's response for each unit conversation topic received from the chatbot, evaluates one of at least three conversation results, and generates an evaluation result in a standardized setting form; and

A labor management system including a visualization processing unit for generating a traffic light report in which the three or more conversation results for each unit conversation topic received from the consultation evaluation unit are displayed in different colors.
According to claim 5,

Further comprising an access time setting unit for setting an access time for each employee using the company characteristics and individual characteristics of each employee,

The chatbot accepts the conversation when the time the employee requests the conversation is included in the connection time set for the employee, and rejects the conversation otherwise.
According to claim 5 or 6,

Further comprising an identification word identification unit for identifying identification words that enable identification of the corresponding executive or employee using the company characteristics and personal characteristics,

The consultation evaluation unit deletes the identification word for the employee or executive if the evaluation result of the standardized setting form includes the identification word, replaces it with another word, or processes it so that it is not recognized.
According to claim 5,

The chatbot performs a conversation with the employee with an in-depth conversation topic set in response to the first unit conversation topic for an employee whose conversation result of the first unit conversation topic is 'concerned' or 'serious'.
According to claim 5,

The information collection unit labor management system for changing the department name to a standardized name in the organization chart of the company included in the company information and storing it.