JP3245106U - Interview support system - Google Patents

Abstract

An object of the present invention is to provide an interview support system that can see through a person's essential personality hidden inside and obtain interview results based on more appropriate and desirable judgments. SOLUTION: An interview support system 1 that connects a server computer 2 on the side of an interviewer Hr and client terminals 3 on the side of a plurality of interview applicants He through a communication line N to perform interviews, and the server computer 2 includes: An interview test file TF including a plurality of different interview tests T1 to T5 that can evaluate the interviewee He from multiple aspects is sent to the client terminal 3, and then the interviewee He The answered interview test file DF containing the test answer data D1 to D5 is received, and the type of combination of each test answer data D1 to D5 is determined based on the judgment criteria set in advance based on the employment conditions, and the judgment result E is obtained. The interview result J based on this determination result E is transmitted to at least the client terminal 3 of the interview applicant He. [Selection diagram] Figure 2

Description

The present invention relates to an interview support system suitable for use when interviewing interview applicants using the Internet or the like.

Generally, when a company hires a person, it almost always conducts an interview to evaluate the person. In this case, the interviewer and interviewee (interview applicant) usually meet face-to-face, and the interviewer asks questions about motivation and special skills, and checks the interviewee's answers and attitude toward the questions. Evaluating the personality of the interviewee. On the other hand, if the interviewee lives in a remote location, it is often difficult to travel to the company, etc., so various interview systems have been proposed in which the interview is conducted using the Internet.

Conventionally, as this type of interview system, for example, a television interview system disclosed in Patent Document 1, an interactive interview system disclosed in Patent Document 2, and a remote insurance interview system disclosed in Patent Document 3 are known. ing. The purpose of the TV interview system of Patent Document 1 is to easily connect terminals that do not have fixed IP addresses to enable secure TV interviews between job seekers and job seekers. Specifically, in order to connect job seekers and job seekers on a one-to-one basis via VPN, the fixed IP addresses lent to job seekers and job seekers, respectively, and the fixed IP addresses are valid or invalid. An address management table that records usage permission information indicating whether there is a fixed IP address, an address setting means that sets whether each fixed IP address is valid or invalid, and an address management table that records usage permission information indicating whether there is a fixed IP address. A VPN connection method that refers to a management table and establishes a VPN only for those whose fixed IP addresses are valid, and provides P2P video and audio between job seekers and job seekers who are connected one-on-one via VPN. This system is constructed by providing a television interview means that enables a television interview using .

Further, the interactive interview system of Patent Document 2 is intended to enable applicants to conduct web interviews at any time using terminals connected to a computer network, and specifically, , a large number of applicant terminals each having a display, connected to a computer network with a camera and microphone for inputting the user's image and voice, and an agent terminal for conducting interviews. The administrator's terminal is connected to the agent's terminal via the administrator's server to conduct an interactive interview, and the administrator's server receives the applicant's image and voice sent from the applicant's terminal. It is configured to record and store it in a memory device as a recorded file.

Furthermore, the insurance remote interview system of Patent Document 3 aims to improve the efficiency of interviews conducted between life insurance interviewers and insurance candidates, and to reduce the burden on insurance candidates. Specifically, it includes a portable computer carried by a salesperson, a camera provided for the portable computer to take pictures of insurance enrollment candidates, and a communication provided for the portable computer. The life insurance interviewer is configured to include a device and an interviewer-side device that receives video data of insurance candidates captured by a camera and transmitted by a communication device via a network, and outputs the video data so that it can be observed by a life insurance interviewer. This is what I did.

Japanese Patent Application Publication No. 2008-129879 Japanese Patent Application Publication No. 2005-56360 Utility model registration No. 3126082

However, conventional interview systems, including the above-mentioned interview system, have the following problems that need to be solved.

This type of interview system generally uses the Internet, so while it has the advantage of allowing interviews to be conducted remotely, the content of the interview itself is just a continuation of the content of previous interviews. In other words, in an interview, the interviewer asks questions of the interviewee, and based on the interviewer's subjective judgment, the interview results are derived based on the responses. The reality is that evaluation criteria tend to be based on the interviewer's subjective values and the superficial personality of the interviewee, making it difficult to make objective judgments.

Therefore, various studies have revealed that such conventional interview methods (interview content) are almost ineffective. For example, according to an experiment conducted at a university, 1,000 students were recruited by giving them an exam, and after ranking them through interviews, a follow-up survey of the top 250 and bottom 50 students was conducted for four years. It has been reported that there are no differences in attendance rates, quality of papers, or employment opportunities. In another example, when we investigated the regularity of prisoner parole in Israeli prisons, we found that the release rate after lunch was more than six times that of before lunch. Studies have shown that patients' blood sugar levels rose and they were released simply because they felt better. In another example, in a test to predict which of two politicians would win, subjects were asked to carefully compare the politicians' profiles and manifestos and predict which one would win. It has been reported that the average accuracy rate was 54%, which was almost the same as predicting the two sides of the same coin. Similarly, in a test related to facial expressions that asked people to guess the other person's mood based on their facial expressions, the accuracy rate was 54%. Furthermore, in the world of investment, there are two types of baskets: a set of reliable stocks (commonly known as a basket) made by a securities company, a basket made by a complete amateur, and a basket made randomly by a monkey throwing darts. In an experiment comparing the profit margins of baskets, it was reported that there was almost no difference between the three baskets. In another example, author J.K. Rowling brought her manuscript for ``Harry Potter and the Philosopher's Stone'' to publishers, but none of them accepted it, and the final publisher she brought it to had a copy of the manuscript. I finally received it. At this time, the editor-in-chief was skeptical about publication, but when he had his child read the manuscript, he said, ``I've never read anything this interesting,'' and the story that led to its publication is also known. There is.

In this way, the judgments of interviewers, inquisitors, editors-in-chief, experimental subjects, securities companies, etc. are all based on their own experiences and are based on the assumption that they are making rational judgments; It has become clear that they are making irrational decisions.

On the other hand, in the case of face-to-face conversational interviews, it is statistically known what interviewers look for in hiring candidates, and it is a fact that interviewers often make decisions based on the interview applicant's likability. There is. The interviewer is merely making a judgment based on the first impression he or she sees, and then gathering evidence of that by asking subsequent questions. In other words, from the moment you see it, you become obsessed with bias, which prevents you from making correct decisions.

Furthermore, in an experiment that investigated the high hiring rate in interviews, the hiring rate was higher for people who were interested in talking about things unrelated to the company than for people who had the skills the company needed. In other words, it has been reported that interviewers had a favorable impression of, and even hired, people in whom they found similarities with themselves. Furthermore, it is also known that people tend to be more likable if they show promise rather than practical experience. That is, in a virtual experiment, two video images were shown to a subject who acted as an interviewer. One talked about his past work experience, and the other hinted at what he wanted to do in the future. In this case, it seems that work experience is important, but in reality, they expressed a preference for video footage that talked about future prospects.

From the above examples, in the case of traditional interview content, even if there is an advantage for interview applicants who are good at putting on the surface, it tends to be a disadvantage for the interviewer, and it is more appropriate and desirable than conventional interviews. It was hoped that an interview support system would be created that would allow decisions to be made.

The purpose of the present invention is to provide an interview support system that solves the problems that exist in the background technology.

In order to solve the above-mentioned problems, the interview support system 1 according to the present invention connects the server computer 2 on the interviewer Hr side and the client terminals 3 on the side of a plurality of interview applicants He through a communication line N. When configuring an interview support system for conducting an interview with an interview applicant He, the server computer 2 evaluates the interview applicant He's personality from a plurality of aspects with respect to the client terminal 3 of the interview applicant He. An interview test transmission processing unit M1 that transmits an interview test file TF that includes a plurality of different types of interview tests T1, T2, etc., and test response data D1, D2, etc. of interview applicants He, to the interview tests T1, T2, and so on. When the server computer 2 receives the answered interview test file DF containing the following, the type of combination of each test answer data D1, D2... is determined based on the criteria set based on the employment conditions, and the determination result E... and an interview result transmission processing section M3 that transmits the interview results J based on the determination results E to at least the client terminals 3 of the interview applicant He.

Further, according to a preferred aspect of the present invention, it is desirable to use the Internet Nn as the communication line N. On the other hand, several different types of interview tests T1... include the first test T1 to judge the perceptive ability to sense the atmosphere of the place, the second test T2 to judge the attachment power between people, and the second test T2 to judge the sleep type of people. The interview test T1 includes two or more types of interview tests selected from the following: the third test T3, which determines a person's personality, the fourth test T4, which determines a person's personality, and the fifth test T5, which determines the humility to correctly judge one's own abilities. can be set. Further, the employment judgment processing unit M2 has an artificial intelligence processing function (AI processing In addition, the employment judgment processing section M2 generates big data Bd by registering new test answer data D1, D2, etc. as a database Db when it receives new test answer data D1, D2, and so on. A learning processing function unit Fb that updates the determination criteria using Bd can be provided.

According to the interview support system 1 according to the present invention having such a configuration, the following remarkable effects are achieved.

(1) From the server computer 2 to the client terminal 3 of the interview applicant He, including multiple types of different interview tests T1, T2, etc. that can evaluate the personality of the interview applicant He from multiple aspects. After transmitting the interview test file TF, if the server computer 2 receives the completed interview test file DF containing the test response data D1, D2, etc. of the interview applicant He, for the interview tests T1, T2,... Based on the judgment criteria set in advance based on the employment conditions, the type of combination of each test answer data D1, D2... is judged to obtain the judgment result E..., and the interview result J... based on the judgment result E... is at least Since the information is sent to the client terminal 3 of the interview applicant He..., it is possible to make a judgment based on the highly reliable results of the interview tests T1, T2... regarding the evaluation of the interview applicant He... It becomes possible to visualize a person's inner world with high precision. As a result, it is possible to see through the essential personality hidden inside a person, and to obtain a more appropriate and desirable judgment, that is, the interview result J...

(2) According to a preferred embodiment, if the Internet Nn is used as the communication line N, even if the interviewee He is located in a remote location, the interviewer Hr can communicate with the interviewer Hr, so to speak, even if the interviewee He is located in a remote location. Interviews can be conducted at the same location.

(3) According to a preferred embodiment, a plurality of different interview tests T1... are conducted, including a first test T1 to judge the perceptive ability to sense the atmosphere of the place, a second test T2 to judge the attachment power between people, and a human being. Two or more types of interviews selected from the following: the third test T3 that determines a person's sleep type, the fourth test T4 that determines a person's personality, and the fifth test T5 that determines one's humility to judge one's abilities correctly. If test T1... is included, a person can be evaluated from multiple aspects by using already proven and highly reliable interview tests T1, T2..., so it can be implemented as an optimal form.

(4) According to a preferred embodiment, artificial intelligence sets criteria for determining the types of combinations of test answer data D1, D2, etc. related to multiple types of different interview tests T1, T2, etc., in the employment determination processing unit M2. If the processing function (AI processing function) section Fa is provided, it is possible to utilize the AI processing function for the combination of the test answer data D1, D2, .

(5) According to a preferred embodiment, when new test answer data D1, D2, etc. are received, they are registered in the recruitment determination processing unit M2 as a database Db, thereby generating big data Bd, and using this big data Bd. By providing a learning processing function unit Fb that updates the judgment criteria, as the test answer data D1, D2, etc. increases, it is possible to further develop the data into big data, and therefore it is possible to update the judgment criteria in a direction that is more optimized. can.

A flowchart showing processing steps of an interview support method using an interview support system according to a preferred embodiment of the present invention, A block diagram showing the overall configuration of the same interview support system, A format diagram of the interview request form that can be used in the same interview support method, An explanatory diagram of the first test that can be used in the same interview support method, An explanatory diagram of the second test that can be used in the same interview support method, An explanatory diagram when processing the results of the second test, An explanatory diagram of the third test that can be used in the same interview support method, An explanatory diagram of the fourth test that can be used in the same interview support method, An explanatory diagram of the fifth test that can be used in the same interview support method, Format diagram of interview test results that can be used in the same interview support method,

Next, preferred embodiments of the present invention will be described in detail based on the drawings.

First, the overall system configuration of the interview support system 1 according to this embodiment will be described with reference to FIG. 2.

The basic function of the interview support system 1 shown in FIG. It is possible to conduct an interview with a person He....

In the illustrated interview support system 1, the Internet Nn is used as the communication line N. In this way, if the Internet Nn is used as the communication line N, even if the interviewee He is located in a remote location, the interviewer Hr will be able to communicate with the interviewer Hr in the same way as the original interview location in a nearby location. interviews can be conducted. Note that various communication lines such as an in-house LAN can be applied to the communication line N.

In addition, the interviewer Hr side includes various recruiting companies Hc that are planning to recruit people, and interview agents Hs who conduct interviews on behalf of these recruiting companies Hc. The interview will be conducted by the interview agent Hs. Therefore, the interviewer Hr in this embodiment includes the interview agent Hs who conducts the interview on behalf of the interviewer Hr. In this way, by applying the interview agent Hs to the interviewer Hr, it can be constructed as a tool that can conduct optimal interviews, and therefore it can be implemented as a business model related to interviews.

For this reason, the computers 4 of various recruiting companies Hc are connected to the Internet Nn, and the server computer 2 of the interview agent Hs is also connected. Further, client terminals 3 of a plurality of interview applicants He who wish to have an interview are connected to the Internet Nn. The client terminals 3 can be various terminals that can be connected to the Internet Nn. In other words, general-purpose personal computers, mobile terminals such as notebook computers, and even smart phones can be used.

Next, the configuration of the server computer 2, which is the main part of the interview support system 1 according to this embodiment, will be specifically explained with reference to FIGS. 2 to 9.

The server computer 2 can be a general-purpose computer (personal computer) configured with computer hardware having computer functions, and the server computer 2 includes a server computer main body 2m and a data holding device (attached to the server computer main body 2m). SSD, etc.) 11 are included.

This data holding device 11 has a memory area 2mc that stores computer programs and data that cause the server computer main body 2m to function as a computer, and in particular, an interview support program that is an application program that executes the interview support system 1 according to the present invention. A database is provided to store P and write various data obtained by executing the interview support program P.

The interview support program P includes an interview test transmission processing section M1, an employment determination processing section M2, and an interview result transmission processing section M3 as main processing sections. In this case, the interview test transmission processing unit M1 sends a plurality of different types of tests from the server computer 2 to the client terminal 3 of the interview applicant He to evaluate the person of the interview applicant He from a plurality of aspects. It has a function to send interview tests T1, T2, etc. In this embodiment, five different types of tests, from the first test T1 to the fifth test T5, are used as the plurality of different types of interview tests T1, T2, . . . . The first test T1 is a test for determining the perceptive ability to sense the atmosphere of the place, and as an example, the "self-monitoring test" shown in FIG. 4 can be used. The second test T2 is a test for determining the strength of attachment between humans, and as an example, the "attachment model test" shown in FIG. 5 can be used. The third test T3 is a test for determining a person's sleep type, and as an example, a "sleep model test" shown in FIG. 7 can be used. The fourth test T4 is a test for determining a person's personality, and as an example, the "Big Five Test" shown in FIG. 8 can be used. The fifth test T5 is a test for determining the humility to correctly judge one's own abilities, and as an example, the "intellectual humility test" shown in FIG. 9 can be used.

Multiple different types of interview tests T1, T2... include the first test T1 to judge the perceptive ability to sense the atmosphere of the place, the second test T2 to judge the attachment power between people, and the sleep type of people. Include two or more interview tests T1 selected from the third test T3, the fourth test T4 to judge a person's character, and the fifth test T5 to judge the humility to correctly judge one's own abilities. For example, by using the already proven and highly reliable interview tests T1, T2, etc., a person can be evaluated from multiple aspects, so it can be implemented as an optimal form.

When the server computer 2 receives the test response data D1, D2, etc. of the interview applicant He for the five interview tests T1, T2, etc. mentioned above, the employment judgment processing unit M2 performs the following according to the judgment criteria set based on the employment conditions. , has a function of determining the type of combination of each test answer data D1, D2, . . . and deriving a determination result E. In this case, for example, if there is a request from a recruiting company Hc to hire "human resources suitable for technical positions" as a hiring condition, the criteria for judgment may be the type of combination suitable for this request, for example, For the first test T1, "XX points or higher", for the second test T2 and the third test T3, there are no questions asked, and for the fourth test T4, "integrity" and "ability to challenge" are required. ” is above the average, and for the fifth test T5, all scores are “4” or above. Criteria for determining the type of combination of each test answer data D1, D2, etc. can be set. Thereby, as the determination result E, for example, "AAA" as shown in FIG. 10 can be displayed when the determination criteria are almost met.

In this case, the employment judgment processing unit M2 has an artificial intelligence processing function ( It is desirable to provide an AI processing function section Fa. If such an AI processing function section Fa is provided, it is possible to utilize the AI processing function for the combination of the test answer data D1, D2, . Furthermore, when new test answer data D1, D2, etc. are received, the employment judgment processing unit M2 registers them as a database Db to generate big data Bd, and updates the judgment criteria using this big data Bd. It is desirable to provide a learning processing function section Fb. In this way, by providing the learning processing function unit Fb that updates the judgment criteria using the big data Bd, it is possible to further advance the conversion to big data as the test response data D1, D2, etc. increases, so that the judgment criteria can be updated. It can be updated for further optimization.

Furthermore, the interview result transmission processing unit M3 has a function of transmitting the interview result J based on the determination result E to the client terminal 3 of the recruiting company He and/or the interview applicant He who has made the request.

Next, the processing procedure of the interview support method using the interview support system 1 according to the present embodiment will be specifically explained according to the flowchart shown in FIG. 1 with reference to FIGS. 2 to 10.

In FIG. 1, He represents a person seeking an interview, Hc represents a recruiting company, and Hs represents an interview agent. As described above, the interview agent Hs is a company that conducts interviews on behalf of the recruiting company Hc, and is positioned as the interviewer Hr.

Now, assume that a recruiting company Hc requests an interview agent Hs to hire a person suitable for a technical position, for example. The interview agent Hs uploads and publishes the recruitment conditions related to the recruitment company Hc from the server computer 2 to the recruitment site published on the Internet Mn (step S1).

On the other hand, assume that when the interview applicant He checks the website using the client terminal 3, the recruiting site catches his eye and he decides to apply to the recruiting company Hc (step S2). As a result, the interview applicant He creates an interview request form 21 shown in FIG. 3, for example (step S3). This interview request letter 21 basically corresponds to the resume of the interview applicant He. When the creation is completed, it is sent to the interview agent Hs (step S4).

As a result, the server computer 2 of the interview agent Hs receives the interview request form 21 (step S5). Thereby, an initial determination is made as to whether or not the contents of the interview request form 21 match the employment conditions, etc. (step S6). If they match, the interview test file TF is sent to the interview applicant He (step S7). This interview test file TF contains the five tests mentioned above, namely, the first test T1 (Fig. 4), which judges the ability to sense the atmosphere of the place, and the second test T2, which judges the ability to attach to each other. (Figure 5), the third test T3 (Figure 7) determines a person's sleep type, the fourth test T4 (Figure 8) determines a person's personality, and determines the humility to correctly judge one's own abilities. A fifth test T5 (FIG. 9) is included.

On the other hand, when the interview applicant He receives the interview test file TF, he creates answers to all tests T1-T5 (steps S8 and S9). The first test T1 shown in FIG. 4 is a "self-monitoring test." In this test, answer the question "18" with [Yes] or [No], and click [Yes] or [No] in the answer column. Figure 4 shows an example of answers. The second test T2 shown in FIG. 5 is an "attachment model test." This test is to answer ``45'' questions, and in the answer column [1. Yes], [2. No], [3. Click “I can’t say either.” Figure 5 shows an example of answers. The third test T3 shown in FIG. 7 is a "sleep model test." This test involves self-diagnosing one or two of four sleep types, and clicking on the corresponding type in the answer column. Figure 7 shows an example of answers. The fourth test T4 shown in FIG. 8 is a "big five test." In this test, you will answer 1 to 7 of the 10 questions that seem appropriate to you. Completely different (1 point)], [2. Somewhat different (2 points)], [3. A little different (3 points)], [4. Neutral (4 points)], [5. Somewhat applicable (5 points)], [6. Fairly applicable (6 points)], [7. Click ``Strongly applicable (7 points)''. Figure 8 shows an example of answers. The fifth test T5 shown in FIG. 9 is an "intellectual humility test." In this test, you will answer 1-5 of the 22 questions that seem appropriate to you. Completely different (1 point)], [2. No (2 points)], [3. Neither agree nor disagree (3 points)], [4. Agree (4 points)], [5. Click Strongly Agree (5 points). Figure 9 shows an example of answers.

Once all the answers to the above tests have been created, the answered interview test file DF is sent to the server computer 2 (step S10). When the server computer 2 receives the answered interview test file DF, it creates an interview result sheet 23 as shown in FIG. 10 as an example (steps S11, S12).

In this case, the interview result sheet 23 includes a self-monitoring test result display field W1, an attachment model test result display field W2, a sleep model test result display field W3, a Big Five test result display field W4, and an intellectual humility test result display field W5. Equipped with

In the self-monitoring test, "Yes" or "No" is linked in advance to each question number shown in Figure 4, so the linked "Yes" or "No" is ] or [No] is given one point, and the total value (for example, "12") is displayed as a score in the result display field W1.

The attachment model test uses the score derivation table 24 shown in FIG. The score derivation table 24 displays a point table 25 divided into "Type A (Secure Attachment Score)," "Type B (Anxious Attachment Score)," and "Type C (Avoidant Attachment Score)." Furthermore, since "1" or "2" points are displayed in a predetermined column of the point table 25, the points for which the number in the answer column and the number in the point table 25 match are counted. For example, in the case of question 2, since "2" in the answer column matches "2" in "C type", it is counted as two points for "C type". In the case of question 3, since the "1" in the answer column matches the "1" in "A type", it is counted as one point for "A type". In the score derivation table 24, the validated score column is displayed with hatching. Then, the same judgment was made for all 45 questions, and the total score for each of "A type", "B type", and "C type" was combined with "A type", "B type", and "C type". Calculate the overall total score. In the example shown, the total score for "Type A" is "23", the total score for "Type B" is "16", the total score for "Type C" is "21", and the total score is "60". It is displayed in the result display column W2. The higher the score, the greater the tendency.

In the sleep model test, "SB" is displayed in the result display column W3 because the type of sleep selected by the interview candidate He, in the example case, bear type was selected.

In the Big Five test, even-numbered scores in the question numbers shown in FIG. 8 are reversed. For example, in the case of question number 2, the answer number is "3", so it is given 5 points, and in the case of question number 4, the answer number is "2", so it is given 6 points. The score obtained by adding the numbers for questions 2 and 7 indicates "cooperation," the score obtained by adding the numbers for questions 4 and 9 indicates "mental strength," and the score obtained by adding the numbers for questions 3 and 8 indicates "cooperation." The score obtained by adding the numbers for questions 1 and 6 indicates "sociability," and the score obtained by adding the numbers for questions 5 and 10 indicates "ability to take on challenges." As an example, the average value and standard deviation of a sample of approximately 1,800 people is 5.2 with a standard deviation of 1.1 for "cooperation," and 4.8 with a standard deviation of 1.1 for "mental strength." In the case of "integrity", the mean was 5.4, standard deviation 1.3; in the case of "sociability", the mean was 4.4, standard deviation 1.5; in the case of "ability to take on challenges", Since the average is 5.4 and the standard deviation is 1.1, using these as a guide, the degree obtained from the answers is displayed in the result display column W4 by ○.

In the intellectual humility test, the scores of the specific marks "*" in the question items shown in FIG. 9 are reversed. For example, in the case of question number 1, the answer number is "2", so it is given 4 points, and in the case of question number 21, the answer number is "4", so it is given 2 points. Then, as the score for "Ability to separate one's own knowledge and ego", the score is the sum of the numbers of question numbers "16", "17", "18", "21", and "22", and the score is displayed in the result display field. Display on W5. In the illustrated case, the score is "4". Similarly, the other three powers, namely ``the ability to change one's own position,'' ``the ability to respect the opinions of others,'' and ``the ability to not be conceited by one's own knowledge,'' are set in a predetermined set. A plurality of question numbers to be added together are set, and scores for each are determined and displayed in the result display field W5. For example, the score for "Ability to not be too proud of one's own knowledge" is the sum of the numbers of question numbers "1", "2", "3", "4", "5", and "12". In the example shown in Figure 10, the score for "ability to change one's own position" is "4", the score for "ability to respect the opinions of others" is "5", and the score for "ability to change one's own position" is "5". The score for ``The power not to fall in love with others'' is ``3.''

Then, these results are taken into the employment judgment processing unit M2 of the server computer 2, and based on the judgment criteria set in advance based on the employment conditions, individual judgments are made, that is, each test answer data D1 for each interview applicant He... , D2, D3, D4, and D5, a determination result E... is obtained (step S13). In this case, as mentioned above, the criteria for judgment is, for example, if a recruiting company HC requests to hire "human resources suitable for technical positions" as a hiring condition, the criteria is to select a combination suitable for this request. For example, for the first test T1, "XX points or higher", for the second test T2 and third test T3, no questions asked, for the fourth test T4, "integrity" ” and “challenge ability” are above average, and for the fifth test T5, all scores are “4” or higher, etc., and set criteria that can judge the type of combination of each test answer data D1, D2, etc. can do. Thereby, as the determination result E, for example, "AAA" as shown in FIG. 10 can be displayed when the determination criteria are almost met.

In this case, the employment judgment processing unit M2 is configured to set judgment criteria for judging the types of combinations of test answer data D1, D2, D3, D4, D5 related to each interview test T1, T2, T3, T4, T5. If the intelligent processing function (AI processing function) section Fa is provided, it is possible to utilize the processing function of AI for the combination of test answer data D1, D2, D3, etc., so it is possible to easily and reliably optimize the judgment criteria. can. Further, when new test answer data D1, D2, etc. are received, they are registered in the recruitment determination processing unit M2 as a database Db, thereby generating big data Bd, and learning to update the determination criteria using this big data Bd. It is desirable to provide a processing function section Fb. In this way, by providing the learning processing function unit Fb that updates the judgment criteria using the big data Bd, it is possible to further advance the conversion to big data as the test response data D1, D2, etc. increases, so that the judgment criteria can be updated. It can be updated for further optimization.

Then, when the determination result E... for each interview applicant He... is obtained, a predetermined number of people to be hired can be selected, for example, from the top. That is, the interview result J based on the final comprehensive judgment is obtained (step S14). The interview results obtained in this way are transmitted to the computer 4 of the recruiting company Hc that is the request source, and also to the client terminal 3 of the interview applicant He (step S15).

According to the interview support system 1 according to the present embodiment, test response data D1, D2, etc. can be obtained at any time from various recruiting companies Hc... and interview applicants He... The answer data D1, D2, . . . are registered as a database Db. As a result, a large amount of big data Bd is generated, so that the learning processing function section Fb provided in the employment judgment processing section M2 can update the judgment criteria. That is, as the test answer data D1, D2, etc. increase, it is possible to further develop the data into big data, so that the criteria can be updated in a direction that is more optimized.

As described above, according to the interview support system 1 according to the present embodiment, as a basic function, the server computer 2 sends a plurality of persons of the interview applicant He to the client terminal 3 of the interview applicant He. After that, the server computer 2 transmits test response data D1, D2 of the interview applicant He... to the interview tests T1, T2..., which can be evaluated from various aspects. ... is received, the test answer data D1... is judged according to the judgment criteria set in advance based on the employment conditions to obtain the judgment result E..., and the interview result J... based on this judgment result E... is determined at least for the interview. Since the information is sent to the client terminal 3 of the applicant He..., it is possible to judge the results of the highly reliable interview tests T1, T2, etc. with respect to the person evaluation of the interview applicant He... This makes it possible to visualize a person's inner world with high precision. As a result, it is possible to see through the essential personality hidden inside a person, and to obtain a more appropriate and desirable judgment, that is, the interview result J...

Although the preferred embodiments have been described in detail above, the present invention is not limited to such embodiments, and does not deviate from the gist of the present invention in the detailed configuration, shape, quantity, numerical value, method, etc. It can be arbitrarily changed, added, or deleted within the range.

For example, multiple different types of interview tests T1... include a first test T1 to judge the perceptive ability to sense the atmosphere of the place, a second test T2 to judge the attachment power between people, and a second test T2 to judge the sleep type of people. Here is a case using five different tests T1-T5: the third test T3, the fourth test T4 to judge a person's character, and the fifth test T5 to judge the humility to correctly judge one's own abilities. Although shown as examples, these tests T1-T5 are just examples, and other different tests may be used. In addition, although we have shown the case where all of the tests T1 to T5 are used, it may also be conducted using two or more types of interview tests T1 selected from these, or six or more types with the addition of other different tests. Tests may also be used.

The interview support system according to the present invention can be used when recruiting companies or their agents conduct interviews with interview applicants using the Internet or the like.

1: Interview support system, 2: Server computer, 3...: Client terminal, N: Communication line, Nn: Internet, Hr: Interviewer, He...: Interview applicant, Hs: Interview agent, T1: Interview test (Part 1) 1 test), T2: Interview test (2nd test), T3: Interview test (3rd test), T4: Interview test (4th test), T5: Interview test (5th test), TF : Interview test file, M1: Interview test transmission processing unit, M2: Employment judgment processing unit, M3: Interview result transmission processing unit, Fa: Artificial intelligence processing function (AI processing function) unit, Fb: Learning processing function unit, D1, D2...: Test response data, Db: Database, DF: Answered interview test file, E...: Judgment result, J...: Interview result, Db: Database, Bd: Big data

In order to solve the above-mentioned problems, the interview support system 1 according to the present invention connects the server computer 2 on the interviewer Hr side and the client terminals 3 on the side of a plurality of interview applicants He through a communication line N. When configuring an interview support system for interviewing interview applicant He..., an interview test file TF including multiple types of different interview tests T1, T2... that can evaluate the interview applicant He... from multiple aspects. An interview test transmission processing unit M1 that sends the interview test to the client terminal 3 of the interview applicant He, and an answered interview test file DF that includes test response data D1, D2, etc. of the interview applicant He to the interview tests T1, T2, and so on. If received, the recruitment determination processing unit M2 determines the type of combination of each test answer data D1, D2, etc., based on the determination criteria set based on the recruitment conditions, and obtains the determination result E. A server computer 2 includes an interview result transmission processing unit M3 that transmits an interview result J based on... to at least a client terminal 3 of an interview applicant He, and a server computer 2 that receives an interview test file TF and a answered interview test file. It is characterized by comprising a client terminal 3 that transmits the DF and receives the interview results J.

Further, according to a preferred aspect of the present invention, it is desirable to use the Internet Nn as the communication line N. On the other hand, several different types of interview tests T1... include the first test T1 to judge the perceptive ability to sense the atmosphere of the place, the second test T2 to judge the attachment power between people, and the second test T2 to judge the sleep type of people. The interview test T1 includes two or more types of interview tests selected from the following: the third test T3, which determines a person's personality, the fourth test T4, which determines a person's personality, and the fifth test T5, which determines the humility to correctly judge one's own abilities. can be set. Further, the employment judgment processing unit M2 has an artificial intelligence processing function (AI processing In addition, when new test answer data D1, D2, etc. are received, the recruitment judgment processing section M2 registers them as a database Db to generate big data Bd, and also to generate big data Bd. A learning processing function unit Fb that updates the determination criteria using the data Bd can be provided.

Claims (5)

An interview support system for conducting interviews with interview applicants by connecting a server computer on the interviewer's side and client terminals on the side of a plurality of interview applicants through a communication line, wherein the server computer connects the client terminals of the interview applicants. An interview test sending processing unit that sends an interview test file containing multiple types of different interview tests that can evaluate the interview applicant from multiple aspects to the terminal, and a test for the interview applicant in response to this interview test. When the server computer receives the answered interview test file containing the answer data, a hiring judgment process of determining the type of combination of the test answer data and obtaining a judgment result based on the judgment criteria set based on the hiring conditions. and an interview result transmission processing unit that transmits an interview result based on the determination result to at least a client terminal of an interview applicant. 2. The interview support system according to claim 1, wherein the communication line uses the Internet. The plurality of different interview tests are the first test to judge the perceptive ability to sense the atmosphere of the place, the second test to judge the attachment power between people, the third test to judge the sleep type of people, The interview according to claim 1, characterized in that it includes two or more types of interview tests selected from a fourth test for determining a person's character and a fifth test for determining humility to correctly judge one's abilities. support system. The employment determination processing unit includes an artificial intelligence processing function (AI processing function) unit that sets the determination criteria for determining the types of combinations of the test response data related to the plurality of different interview tests. The interview support system according to claim 1, wherein: The employment judgment processing unit is characterized by comprising a learning processing function unit that generates big data by registering it as a database when new test answer data is received, and updates the judgment criteria using this big data. The interview support system according to claim 1, wherein:

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