JP2007257002A - Personality diagnostic method, personality diagnostic system and personality diagnostic program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To achieve accurate, highly precise and appropriate personality test by diluting its influence even when a subject makes a reply which deviates from his or her intention. <P>SOLUTION: In performing personality test by using a computer (personality test system), the answer of a subject is acquired (operation I), and the diagnostic object personality is temporarily classified into one segment of a plurality of preliminarily prepared segments (16 ways of season types) (operation II) from the trend of the acquired answer, and the personality test of the subject (operation III) and the reader type diagnosis of the subject (operation IV) and/or the aptitude occupational category diagnosis of the subject (operation V) is carried out according to the correspondence relation between the preliminarily prepared segment and the diagnostic result. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a method, a system, and a program for performing a person diagnosis based on an answer of a person to be diagnosed with respect to a question presented to the person to be diagnosed, and belongs to the technical field of information processing by a computer.

  In general, in order to utilize individual human resources within an organization such as a company of diverse individuality, improve their abilities, make the team to which each individual belongs function well, and improve productivity, the individual person must first. It is important to properly diagnose and evaluate

  For example, Patent Document 1 presents questions regarding aptitude diagnosis to job seekers using a computer as a technology for realizing a business model for providing a job placement brokerage service between a job seeker and a recruiting company. It is disclosed that a job seeker's personality and suitable job style are obtained, and based on the result, a suitable job offer job style is extracted from job offer job styles requested by a job offer company and presented to the job seeker.

  However, in the past, the tendency of the answer that the patient first answered was linked directly to the diagnosis result.For example, when the person who made the diagnosis intentionally and arbitrarily made an answer that was intentionally different from the original intention. There was a possibility that proper person diagnosis and person evaluation could not be achieved. For example, in the technique described in Patent Document 1, the diagnosis person's answer is converted into raw points, the average value of the converted raw points is calculated for each question category, and the calculated average value is calculated between the question categories. Standardized for adjustment, and the number of points is calculated according to the standardized score, but the higher the score (or the lower the score) of the answer that the patient first answered, the standardized as well as the average value Since the score and the number of points at the end will also be higher (or lower), if the diagnosed person deliberately deviates from the true intention, the effect remains until the end, and the diagnosis The accuracy will be lowered. In addition, since the contents of the questions are often directly asked about the intelligence, reason or personality of the person being diagnosed, such as “I can work with anyone” or “I want to devote myself to a specific specialized field”, etc. It is easy for the person to be diagnosed to add effort to the answer according to his / her wishes and ideals.

JP 2002-230152 A (paragraph 0036 to paragraph 0038, paragraph 0042, FIG. 3, FIG. 12 to FIG. 15, FIG. 18)

  The present invention has been made in view of the above-mentioned problems in the conventional person diagnosis, and even when the person to be diagnosed makes an answer that deviates from the true intention due to the difference between the real intention and the founding, the influence is diluted. Therefore, it is an object to achieve an accurate and accurate accurate person diagnosis.

  In order to solve the above-mentioned problems, the present invention is configured as follows.

  First, the invention according to claim 1 of the present application is a method for performing a person diagnosis based on a diagnosis person's answer to a question presented to the person to be diagnosed. The diagnostician is classified into one of a plurality of previously created categories, and then the personality diagnosis of the diagnosed person and the reader of the diagnosed person are performed according to the correspondence between the previously created classification and the diagnosis result. It is characterized in that at least one of a type diagnosis and a diagnosis of an appropriate occupation of the subject is performed.

  Next, the invention according to claim 2 is a method of performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person, and the tendency of the diagnosis person's answer and the diagnosis in the computer Classify the diagnosed person and other diagnosed persons into one of a plurality of previously created categories from the tendency of the answers of other diagnosed persons to the team to which the person belongs, and then create them in advance According to the compatibility relationship between the categories, a compatibility diagnosis between the diagnosis subject and another diagnosis subject is performed.

  Next, the invention according to claim 3 is the person diagnosis method according to claim 2, wherein in the computer, the tendency of the response of the first other diagnosed person of the team to which the diagnosed person belongs and the first The first other diagnosed person and the second other diagnosed person are classified into one of a plurality of previously created sections from the tendency of the responses of the two other diagnosed persons, and then In accordance with the compatibility relationship between the categories created in advance, the type diagnosis of the team to which the diagnosis target belongs is performed by performing the compatibility diagnosis between the first other diagnosis target and the second other diagnosis target. It is characterized by that.

  Next, the invention according to claim 4 is the person diagnosis method according to any one of claims 1 to 3, wherein the questions to be presented to the diagnosed person and the other diagnosed persons are: It is characterized in that it allows other diagnosed persons to answer through vision.

  On the other hand, the invention according to claim 5 is a system for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person. Is classified into one of a plurality of previously created categories, a personality diagnosis correspondence table in which a correspondence relationship between the category and the personality diagnosis result of the diagnosed person is written, and the classification of the classification and the diagnosed person At least one correspondence table among a reader type diagnosis correspondence table in which a correspondence relationship with a reader type diagnosis result is written and a suitable job type diagnosis correspondence table in which a correspondence relationship between the classification and the suitable job type diagnosis result of the diagnosed person is written. Correspondence table recording means for recording, a classification of the diagnosed person classified by the classification means, and a personality diagnosis of the diagnosed person from the correspondence table recorded by the recording means As a result, a diagnostic result reading means for reading at least one of the reader type diagnostic result of the diagnosed person and the appropriate job type diagnostic result of the diagnosed person, and the diagnostic result read by the diagnostic result reading means are output And a diagnostic result output means.

  Next, the invention according to claim 6 is the person diagnosis system according to claim 5, wherein the correspondence table recorded by the correspondence table recording unit is for each category and for each diagnostic element constituting the diagnostic result. It is created in accordance with a preset score.

  Next, the invention described in claim 7 is a system for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person, and the tendency of the answer of the diagnosed person and the diagnosis in the computer Classification means for classifying the diagnosed person and other diagnosed persons into one of a plurality of categories prepared in advance based on the tendency of responses of other diagnosed persons to whom the person belongs, compatibility between the classifications From the compatibility table recording means for recording the compatibility table in which the relationship is written, the classification of the diagnosed person classified by the classification means and the classification of the other diagnosed person, and the compatibility table recorded by the recording means. Diagnosis result reading means for reading out a compatibility diagnosis result between a diagnostician and another diagnosed person, and a diagnosis for outputting a compatibility diagnosis result between the diagnosed person read by the diagnosis result reading means and another diagnosed person Result output means Gills is characterized in that is.

  Next, the invention according to claim 8 is the person diagnosis system according to claim 7, wherein the classification means is a tendency of responses of the first other diagnosed person of the team to which the diagnosed person belongs. And classifying the first other diagnosed person and the second other diagnosed person into one of a plurality of previously prepared categories from the tendency of responses of the second other diagnosed person, The diagnosis result reading means includes a first other diagnosed person classification and a second other diagnosed person classification classified by the classification means, and a compatibility table recorded by the recording means. A compatibility diagnosis result between one other diagnosed person and a second other diagnosed person is read out, and the diagnosis result output means is connected to the first other diagnosed person read out by the diagnosis result reading means. A compatibility diagnosis result with the second other diagnosis subject is output.

  Each means of the person diagnosis system according to claims 5 to 8 includes hardware resources such as a central processing unit of a computer, an input device, an output device, and a recording device, and each means using these hardware resources. And a program for realizing the operation.

  The invention according to claim 9 is a program for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person. A classifying means for classifying the diagnosed person and the other plurality of diagnosed persons into one of a plurality of previously prepared classifications from the tendency of answers of other diagnosed persons of the team to which the group belongs, the classification Personality diagnosis correspondence table in which the correspondence between the personality diagnosis result of the person to be diagnosed and the personality diagnosis result of the person to be diagnosed, the reader type diagnosis correspondence table in which the correspondence between the classification and the reader type diagnosis result of the person to be diagnosed is written, Correspondence table recording means for recording a correspondence table for a suitable occupation type diagnosis in which a correspondence relation with a diagnosis result of a suitable occupation type of a diagnostic person is written, and a compatibility table in which a compatibility relation between the categories is written The compatibility table recording means, the classification of the diagnosed person classified by the classification means, and the correspondence table recorded by the correspondence table recording means, the personality diagnosis result of the diagnosis person, the reader type diagnosis result of the diagnosis person And the diagnosis result of the appropriate occupation of the diagnosed person, the classification of the diagnosed person classified by the classification means and the classification of the plurality of other diagnosed persons, and the compatibility table recorded by the compatibility table recording means A diagnostic result reading means for reading out a compatibility diagnosis result between the diagnosed person and another diagnosis person and a compatibility diagnosis result between the first other diagnosis person and the second other diagnosis person, and the diagnosis result It is made to function as a diagnostic result output means which outputs the diagnostic result read by the reading means.

  With the above configuration, according to the invention described in each claim of the present application, the following effects can be obtained.

  First, according to the person diagnosis method of claim 1, when performing a person diagnosis using a computer, first, based on the tendency of the person to be diagnosed to answer, the person to be diagnosed is selected from a plurality of previously created categories. And according to the correspondence between the classification and the diagnosis result prepared in advance, the personality diagnosis of the diagnosed person, the reader type diagnosis of the diagnosed person and / or the appropriate occupational type diagnosis of the diagnosed person As a result, the tendency of the patient's response will not be directly linked to the person diagnosis result. As a result, even if the patient intentionally makes a response that deviates from the intention, the effect is diluted. As a result, accurate personality diagnosis, reader type diagnosis and / or proper occupational type diagnosis of a person to be diagnosed with high accuracy can be achieved.

  Similarly, according to the person diagnosis method of claim 2, when performing a person diagnosis using a computer, first, the response tendency of the diagnosis subject and the responses of other diagnosis subjects of the team to which the diagnosis subject belongs. From the above-mentioned tendency, once diagnosed and other diagnosed persons are classified into one of a plurality of previously created categories, and the diagnosed subject is determined according to the compatibility relationship between the previously created categories. And other diagnosed persons, the tendency of the responses of the diagnosed persons and the tendency of the responses of other diagnosed persons are not directly linked to the person diagnosis results. Even if the examiner and other diagnosed persons deliberately deviate from their true intentions, the influence is diluted, and thus the correct diagnosis between the correct and highly accurate appropriate diagnosed person and other diagnosed persons Will be achieved.

  Similarly, according to the person diagnosis method of claim 3, the tendency of the response of the first other diagnosed person and the tendency of the response of the second other diagnosed person of the team to which the diagnosed person belongs are determined. As a result, even if the first other diagnosed person and the second other diagnosed person deliberately make an answer that deviates from the intention, the effect is diluted. Therefore, the compatibility diagnosis between the first other diagnosed person and the second other diagnosed person, which is accurate and highly accurate, is achieved, and thus the type diagnosis of the team to which the diagnosed person belongs is achieved. It becomes.

  In that case, according to the person diagnosis method of the fourth aspect, the question presented to the person to be diagnosed or another person to be diagnosed is answered visually (for example, favorite color, favorite pattern, favorite The patient is not able to add any effort to the answer according to his / her wishes and ideals, resulting in a more accurate and accurate response. A highly appropriate person diagnosis will be realized.

  On the other hand, according to the person diagnosis system according to claim 5, the classification constituted by hardware resources such as a central processing unit, an input device, an output device and a recording device of a computer, and a program for operating these hardware resources. According to the means, the correspondence table recording means and the diagnosis result reading means, the same effect as in the first aspect can be obtained. In addition, the diagnosis result output means allows the person to be diagnosed to know the personality diagnosis result, the reader type diagnosis result, and / or the appropriate occupation type diagnosis result on a display screen or printed matter.

  In this case, according to the person diagnosis system according to claim 6, the personality diagnosis correspondence table, the reader type diagnosis correspondence table or the appropriate occupation type diagnosis correspondence table recorded by the correspondence table recording means is configured for each category and the diagnosis result. The correspondence table is created based on the preset score irrespective of the tendency of the response of the diagnosed person, because it is created according to the preset score for each diagnostic element to be performed, As a result, the influence of the answer of the person to be diagnosed is diluted, so that an accurate personality diagnosis, a leader type diagnosis and / or an appropriate occupational type diagnosis with high accuracy can be achieved.

  Further, according to the person diagnosis system of claim 7, the classification constituted by hardware resources such as a central processing unit, an input device, an output device and a recording device of a computer, and a program for operating these hardware resources According to the means, the compatibility table recording means, and the diagnostic result reading means, the same effect as in the second aspect can be obtained. In addition, the diagnosis result output means allows the person to be diagnosed to know the compatibility diagnosis result between the person to be diagnosed and another person to be diagnosed on a display screen, printed matter, or the like.

  In that case, the person diagnosis system according to claim 8 is constituted by hardware resources such as a central processing unit, an input device, an output device, and a recording device of a computer, and a program for operating these hardware resources. According to the classification means and the diagnostic result reading means, the same effect as in the third aspect can be obtained. In addition, the diagnosis result output means allows the person to be diagnosed to know the compatibility diagnosis result between the first other person to be diagnosed and the second other person to be diagnosed on a display screen or printed matter.

  According to the person diagnosis program according to claim 9, a person diagnosis system similar to the system according to claims 5 to 8 is configured by installing this program in a computer. The effect similar to 5-8 will be acquired.

  Hereinafter, a person diagnosis system according to an embodiment of the present invention will be described. This person diagnosis system implements the person diagnosis method according to the present invention, and a program that configures this person diagnosis system together with a computer constitutes an embodiment of the person diagnosis program according to the present invention. .

  FIG. 1 is a block diagram showing an overall configuration of a person diagnosis system 10 according to the present embodiment. The person diagnosis system 10 is mainly configured by a computer. A central processing unit 11 that causes the computer to execute predetermined processing according to a program, an input device 12 such as a keyboard and a mouse, and an output such as a display device and a printing device. And a recording device 14 having a program recording unit 14a and a data recording unit 14b and storing a program for causing the computer to execute a predetermined process, various databases, files, and tables. Yes. Note that a communication device for transmitting and receiving information to and from other computers via a network may be further provided.

  FIG. 2 is a flowchart showing an overall flow of the person diagnosis operation performed by the person diagnosis system 10. First, as operation (I), a question is presented to a person to be diagnosed (in this embodiment, a company employee) using an output device 13 such as a display device, and then an input device 12 such as a mouse is used. Get answers. Next, as operation (II), the season type of the person to be diagnosed is determined based on the acquired answer. The determined season type is recorded in the season type table (see FIG. 10) of the data recording unit 14b of the recording device 14. Then, based on the season type recorded in this season type table, the personality diagnosis of the diagnosed person is performed as operation (III), the reader type diagnosis of the diagnosed person is performed as operation (IV), and the operation (V ) Performs a suitable job type diagnosis of the person to be diagnosed, and performs a type diagnosis of the team to which the person to be diagnosed belongs as operation (VI). In either case, the diagnosis result is presented to the person to be diagnosed using the output device 13 such as a display device or a printing device.

  First, the “question presentation and answer acquisition” operation (I) performed by the person diagnosis system 10 will be described in detail. A “question (visual image & color) database” having a structure as shown in FIG. 3 is stored in the data recording unit 14 b of the recording device 14 of the person diagnosis system 10. That is, “question”, “question content”, and “image ID” are registered using “ID” as a key. In the present embodiment, there are “questions” from “1” to “50”, and four images are assigned to each “question”.

  Similarly, the data recording unit 14b of the recording device 14 of the person diagnosis system 10 stores an “image database” having a structure as shown in FIG. That is, “file name” and “season” are registered using “image ID” as a key. In the present embodiment, 200 “image IDs” (= 4 × 50 questions) are registered, and four “spring”, “summer”, “autumn”, and “winter” are registered for each “image ID”. One of the seasons is tied. In particular, four “image IDs” per question are associated with “spring”, “summer”, “autumn”, and “winter” one by one.

  Then, according to the registered contents of these databases, a “question (visual image & color)” screen as shown in FIG. 5 is displayed on the output device (display device) 13 of the person diagnosis system 10 (presentation of questions). As shown in the figure and as is clear from the contents of the question in Fig. 3, this question (visual image & color) is visually visible to the examinee such as favorite color, favorite pattern, favorite pattern, favorite shape. It is a question to be answered through (question about the sensitivity of the diagnosed person). On this screen, the person to be diagnosed answers four choices using the input device 12 such as a mouse, and presses the “select” button or the “next” button to make a total of 50 questions (visual・ Respond to Image & Color. In that case, the person to be diagnosed must select one season of “Spring”, “Summer”, “Autumn”, and “Winter” by answering four choices for each “question”. It becomes.

  On the other hand, a “question (environment / interpersonal) database” having a structure as shown in FIG. 6 is stored in the data recording unit 14 b of the recording device 14 of the person diagnosis system 10. That is, “question”, “question content”, and “season” are registered using “ID” as a key. In this embodiment, there are “questions” from “1” to “200”, and for each “question”, one of the four seasons “spring”, “summer”, “autumn”, and “winter” is tied. It is attached. In particular, among the 200 questions in total, “Spring”, “Summer”, “Autumn”, and “Winter” are each associated with 50 (= 200 questions ÷ 4 seasons).

  Then, according to the registered contents of this database, a “question (environment / person)” screen as shown in FIG. 7 is displayed on the output device (display device) 13 of the person diagnosis system 10 (presentation of questions). As shown in the figure and as is clear from the contents of the question in FIG. 6, this question (environment / person) is a sentence problem. The person to be diagnosed responds to “Yes” or “No” using the input device 12 such as a mouse on this screen, and presses the “Select” button or the “Next” button. , Answer a total of 200 questions (environment / personnel). In that case, the diagnosis subject selects one season from “spring”, “summer”, “autumn”, and “winter” associated with the “question” by selecting “Yes”. It will be. On the other hand, when “No” is selected, the season is not selected.

  The response of the diagnosis subject is recorded in the “response file” having a structure as shown in FIG. 8 (acquisition of response). That is, using the “employee number” as a key, the “name” of the diagnosed person, the “team name” of the team to which the diagnosed person belongs, the “answer (visual image & color)” and “answer (environment / "Interpersonal)" is recorded for each "question".

  Next, the “season type determination” operation (II) performed by the person diagnosis system 10 will be described in detail. FIG. 9 is a flowchart showing the “season type determination” operation (II). First, the total number of responses for each “employee number” recorded in the “answer file” is summed up by season (step S201). For example, referring to FIG. 8, in the case of “Taro Tokkyo”, “Question 1” of “Answer (Visual Image & Color)” has selected “Image ID” of “012”. It can be seen that “Summer” is selected. In addition, since “Question 1” and “Question 200” of “Answer (Environment / Interpersonal)” respectively select “Yes”, it is understood that “Spring” and “Winter” are selected from FIG. . In this way, the number of responses is tabulated by season. The counting results are recorded in a “season type table” having a structure as shown in FIG. In other words, using the “employee number” as a key, the “total number of answers” for each season for the question (visual image & color), the “total number of answers” for each season for the question (environment / person), and the season that adds them together Each “total number of answers” is recorded. In addition, in “Total number of answers (visual image & color)”, the total number of answers from “Spring” to “Winter” for each employee is added to “50”. In “Number (environment / personnel)”, the total number of responses from “Spring” to “Winter” is not added to “200” for each employee. As described above, in the former, by answering one of the four questions in each “question”, one season from “spring” to “winter” is always selected. In the latter, when “No” is selected for each “question”, the season associated with that “question” is not selected.

  Returning to FIG. 9, the consistency is checked for each season (step S202). That is, there are, for example, between “Question 1” to “Question 50” of “Question (Visual Image & Color)” and between “Question 1” to “Question 200” of “Question (Environment / Interpersonal)”. If “Spring” is selected in “Question”, another “Question” should select “Spring” or not select “Autumn”, or a certain “Question” If “Yes” is selected in the above, there is a correlation such that “Yes” should be selected for another “Question” or “No” should not be selected. Are checked by season. As a result, if there is an answer that does not match consistency, the “total number of answers” and “total number of answers” for that season are deducted. This consistency check result is overwritten on the “season type table” of FIG.

  Returning to FIG. 9, the season type is determined (step S203). In other words, the season type of the diagnosed person is determined based on the “total number of answers” after the consistency check for each season. For example, referring to FIG. 10, in the case of “Taro Tokkyo” whose “employee number” is “1001”, the “total number of answers” for “spring” is “64” and the “total number of answers” for “summer”. “60”, which is a value considerably larger than “12” of “total number of answers” in “autumn” and “3” of “total number of answers” in “winter”. The “season type” of “M” is the “spring-summer” type as illustrated. In this case, if the “total number of total answers” for “summer” is larger than the “total number of total answers” for “spring”, the “season type” becomes the “summer-spring” type. In other words, the season name with the larger “total number of responses” comes first. Similarly, in the case of “Hanako Design” whose “employee number” is “1002”, the “total number of answers” for “winter” is “69”, and the “total number of answers” for “autumn” is “62”. These are values that are considerably larger than “10” for “total number of responses” in “Spring” and “8” for “total number of responses” in “Summer”. The “type” is a “winter-autumn” type as illustrated. In this case, if the “total number of answers” for “autumn” is larger than the “total number of answers” for “winter”, the “season type” becomes the “autumn-winter” type. When the “total number of responses” for any one of “Spring”, “Summer”, “Autumn”, and “Winter” is prominently large, the “Season Type” is the “Spring-Spring” type. (Or “spring” type), “summer-summer” type (or “summer” type), “autumn-autumn” type (or “autumn” type) and “winter-winter” type (or “winter” type) Become. In this way, there are 16 types of “season type” from “spring-spring”, “summer-summer” ... to “winter-summer”, “winter-autumn”. It is classified into any one “season type”. The determined “season type” is recorded in the “season type table” of FIG.

  Next, the “personality diagnosis” operation (III) performed by the person diagnosis system 10 will be described in detail. FIG. 11 is a flowchart showing the “personality diagnosis” operation (III). That is, for all “employee numbers” recorded in the “season type table”, the “season type” is applied to the “personality diagnosis correspondence table”, and the higher-level records are written to the “personality diagnosis result file” ( Step S301).

  Here, as shown in FIG. 12, the “personality diagnosis correspondence table” includes an “advantage” item, an “advance” item, an “expert” for each season type from “spring-spring” to “winter-autumn”. Items, “I am not good” items, and “Self-innovation methods” items, and each item has a plurality of diagnostic elements (A-1, A-2... B) -1, B-2..., C-1, C-2..., D-1, D-2. For example, in the “Spring-Spring” season type, a diagnostic element (A-1, A-2,...) Such as “There is fractionation” is written in the “Advantage” item, and the “Disadvantage” item, Diagnostic elements (A-3, A-4,...) Such as “stubborn” are written, and diagnostic elements (B can be heard calmly) in the item “I am good at” (B -1, B-2 ...) is written, and the diagnostic element (C-3, C-4 ...) such as "I cannot express my opinion clearly" is written in the item "I'm not good at" , And the diagnostic element (D-3, D-4, etc.) such as “Let's spend time rationally” is written in the item of “Self-innovation method” (this also applies to other season types) The same as above).

  In addition, as shown in FIG. 13, the “personality diagnosis result file” uses the “employee number” as a key and the “season type”, “advance”, “disadvantage”, “expert”, “bad” "Necessary things" and "methods of self-reformation" are being recorded. In the example shown in the figure, each of the diagnostic elements (A-1, A-2..., B-1, B-2...) Of the “personality diagnosis correspondence table” in FIG. , C-1, C-2 ..., D-1, D-2 ...) are recorded.

  Then, according to the registered contents of the “personality diagnosis result file”, a “personality diagnosis result” screen as shown in FIG. 14 is displayed on the output device (display device) 13 of the person diagnosis system 10 (presentation of diagnosis results). As shown in the figure, the name and season type of the diagnosed person are shown, along with the advantages, disadvantages, strengths, weaknesses and self-transformation methods of the diagnosed person.

  Here, the creation operation of the “personality diagnosis correspondence table” in FIG. 12 will be described in detail. This operation is performed in advance before the person diagnosis system 10 performs the person diagnosis operation of FIG. In short, the “personality diagnosis correspondence table” includes a plurality of diagnostic elements (A-1, A-) for each of a plurality of season types (“spring-spring” to “winter-autumn”) and personality diagnosis results. 2 ..., B-1, B-2 ..., C-1, C-2 ..., D-1, D-2 ...) and created in accordance with a preset score. FIG. 15 is a flowchart showing a “personality diagnosis correspondence table creation” operation. First, for all “season types” recorded in the “personality diagnostic database”, the “category” of the “personality diagnostic database” is “affirmed” and the “keyword meaning” is sorted in the order of the score of the “season type”. The information is written in the “merit” item of the “personality diagnosis correspondence table” (step S311).

  Here, as shown in FIG. 16, the “personality diagnostic database” includes “category” items “keywords” identified as “affirmative” and “denial” for each season from “spring” to “winter”. The item of “meaning”, the item of “good things”, the item of “bad things”, and the method of “self-transformation” are provided. For example, in the “spring” season, two diagnostic elements (A-1) and (A-2) are recorded as “meaning keyword” with “category” being “affirmed”, and “category” is “denied” Two diagnostic elements (A-3) and (A-4) are recorded as “meaning of keyword” of “Category”, and two diagnostic elements (B-1) as “good things” with “affirmation” as “category” (B-2) is recorded, “Category” is “Negative”, “Don't like”, two diagnostic elements (C-3) and (C-4) are recorded, and “Category” is “Negative” Two diagnostic elements (D-3) and (D-4) are recorded as “Self-innovation method” (the same applies to other seasons).

  Furthermore, as shown in FIG. 17, the “personality diagnostic database” includes a plurality of “Spring-Spring”, “Summer-Summer”, “Winter-Summer” and “Winter-Autumn” season types. "0", "1" for each diagnostic element (A-1, A-2 ..., B-1, B-2 ..., C-1, C-2 ..., D-1, D-2 ...) , “2”, “3” and “4” are set in advance. For example, in the “Spring-Summer” season type, the season is “Spring” and the “Category” is “Yes” for a total of four diagnostic elements (A-1), (A-2), (B-1) , (B-2), a score “4” is set, and “category” is “negative”, for a total of six diagnostic elements (A-3), (A-4), (C-3), (C -4), (D-3), and (D-4), a score of “2” is set, the season is “Summer”, and the “Category” is “Affirmation” for a total of two diagnostic elements (A-5) ), (B-5), a score “2” is set, and scores “0” are set for the other two diagnostic elements (A-6), (B-6). A score “2” is set for the three diagnostic elements (A-7), (C-7), and (D-7) in total, and the other three diagnostic elements (A-8), ( C-8), (D-8 A score of “0” is set for the two diagnostic elements (A-9) and (B-9), in which the season is “autumn” and the “category” is “positive”. Is set, a score “2” is set for the other two diagnostic elements (A-10) and (B-10), and a total of six diagnostic elements (A-11) with “Category” being “Negative”, A score of “0” is set for (A-12), (C-11), (C-12), (D-11), and (D-12), the season is “winter”, and “category” Is affirmative, a score of “0” is set for the four diagnostic elements (A-13), (A-14), (B-13), and (B-14), and “Category” is “Negative” "," A score "2" is set for the three diagnostic elements (A-15), (C-15), and (D-15), and the other three diagnostic elements (A-16), ( -16), (D-16) score "0" is set for (the same according to this in other seasons type). Here, for the four types of season types “Spring-Spring” ... “Winter-Winter”, three types of scores “0”, “1” and “3” are used, and the season type is “Spring- Three types of scores “0”, “2” and “4” are used for twelve ways of “summer” ... “winter-autumn”. However, it is not limited to this.

  Therefore, for example, referring to FIG. 12, when the “season type” is “spring-spring”, in the step S311, the “merits” item includes the diagnostic element (A-1), ( A-2) is written, and then the diagnostic elements (A-5) and (A-10) with a score of “2” are written. If the “season type” is “winter-autumn”, the diagnostic elements (A-13) and (A-14) with a score of “4” are written in the item “merits” in the step S311. Then, diagnostic elements (A-9) and (A-6) with a score of “2” are written (the same applies to other season types). When the score is the same, the “season” diagnostic element close to “season type” is ranked higher. Further, when the “season” is the same, the diagnosis element recorded at the top in the “personality diagnosis database” of FIGS.

  Returning to FIG. 15, the “category meaning” of “Negative” in the “Personality Diagnosis Database” is rearranged in the order of the score of “Season Type”, and the “Disadvantage” item in the “Personality Diagnosis Correspondence Table” Writing is performed (step S312). For example, referring to FIG. 12, when the “season type” is “spring-spring”, in the step S312, the item “cons” includes diagnostic elements (A-3) and (A- 4) is written, and then the diagnostic element (A-15) with a score of “1” is written. If the “season type” is “winter-autumn”, the diagnostic elements (A-15) and (A-16) with a score of “2” are written in the item “cons” in step S312. Then, the diagnostic element (A-11) having a score of “2” is written (the same applies to other season types).

  Returning to FIG. 15 again, “special things” in the “personality diagnosis database” are rearranged in the order of scores of “season type” and written in the item “special things” in the “personality diagnosis correspondence table” (step S313). . For example, referring to FIG. 12, when the “season type” is “spring-spring”, in the step S313, the item “special thing” includes a diagnostic element (B-1), ( B-2) is written, and then diagnostic elements (B-5) and (B-10) with a score of “1” are written. When the “season type” is “winter-autumn”, in the step S313, the item “special thing” includes diagnostic elements (B-13) and (B-14) with a score of “4”. After that, the diagnostic elements (B-9) and (B-6) whose score is “2” are written (the same applies to other season types).

  Returning to FIG. 15 again, next, “not good” in the “personality diagnostic database” is rearranged in the order of the score of “season type” and written in the item “not good” in the “personality diagnostic correspondence table” (step S314). . For example, referring to FIG. 12, when the “season type” is “spring-spring”, in the step S314, the item “I'm not good” includes the diagnostic element (C-3), ( C-4) is written, and then the diagnostic element (C-15) with a score of “1” is written. When the “season type” is “winter-autumn”, in the step S314, the item “I am not good” includes diagnostic elements (C-15) and (C-16) with a score of “2”. After that, the diagnostic element (C-11) having a score of “2” is written (the same applies to other season types).

  Returning to FIG. 15 again, “self-innovation method” in the “personality diagnostic database” is rearranged in the order of scores of “season type” and written in the item of “self-innovation method” in the “personality diagnosis correspondence table” (steps). S315). For example, referring to FIG. 12, when the “season type” is “spring-spring”, in the step S315, the item “self-innovation method” includes a diagnostic element (D-3) with a score of “3”, (D-4) is written, and then the diagnostic element (D-15) with a score of “1” is written. If the “season type” is “winter-autumn”, the diagnostic element (D-15), (D-16) having a score of “2” is included in the item “self-innovation method” in the step S315. Is written, and then the diagnostic element (D-11) with a score of “2” is written (the same applies to other season types).

  Next, the “reader type diagnosis” operation (IV) performed by the person diagnosis system 10 will be described in detail. FIG. 18 is a flowchart showing the “reader type diagnosis” operation (IV). That is, for all “employee numbers” recorded in the “season type table”, the “season type” is applied to the “reader type diagnosis support table”, and the ranking and standardized value (γ) are set to the “leader type diagnosis result file”. "(Step S401).

  Here, as shown in FIG. 19, the “reader type diagnosis correspondence table” includes “business leader”, “competence leader” to “facilitation type” for each season type of “spring-spring” to “winter-autumn”. “Leader” reader type items (9 types in total) are provided, and the items of each reader type include “total (α)”, “average value (β)”, “standardized value (γ)”, and “rank” "Are provided, and numerical values are written. For example, in the “spring-spring” season type, the “business leader” has a “sum (α)” of “12”, an “average value (β)” of “1.3”, and a “standardized value (γ). “0.43” and “rank” are “2”, and the “facilitation type reader” has “sum (α)” of “8” and “average value (β)” of “0.9”. The “standardized value (γ)” is “0.30” and the “rank” is “9” (the same applies to other season types).

  Further, as shown in FIG. 20, the “leader type diagnosis result file” records the “season type” of the person to be diagnosed with “employee number” as a key, and “business leader” to “facilitation type reader”. For each reader type, “rank” and “standardized value (γ)” are recorded.

  Then, according to the registered contents of the “reader type diagnosis result file”, a “reader type diagnosis result” screen as shown in FIG. 21 is displayed on the output device (display device) 13 of the person diagnosis system 10 (presentation of diagnosis results). ). As shown in the drawing, together with the name and season type of the diagnosed person, a plurality of reader types are shown in descending order of the degree of appropriateness (“standardized value (γ)”) of the diagnosed person.

  Here, the creation operation of the “reader type diagnosis correspondence table” of FIG. 19 will be described in detail. This operation is performed in advance before the person diagnosis system 10 performs the person diagnosis operation of FIG. In short, the “leader type diagnosis correspondence table” includes a plurality of diagnosis elements (E-1 to E-1) constituting a plurality of season types (“spring-spring” to “winter-autumn”) and reader type diagnosis results. E-3, F-1 to F-3, G-1 to G-3, H-1 to H-3, I-1 to I-3, J-1 to J-3) Created according to the score. FIG. 22 is a flowchart showing the “reader type diagnosis correspondence table creation” operation. First, for all “season type” cases recorded in the “leader type diagnostic database”, for each leader type in the “leader type diagnostic database”, the coefficient of “capability requirement” (corresponding to the diagnostic element) and the “season type” Is multiplied by the obtained score to obtain the “total (α)” of the obtained scores, and is written in the “reader type diagnosis correspondence table” (step S411).

  Here, as shown in FIG. 23, the “leader type diagnosis database” includes a plurality of (capacity requirements) (diagnostic elements) for each “capability category” (three in the example: not limited to this). For each “capability requirement”, a plurality of reader types, that is, a “business leader” item, a “competence reader” item, and a “facilitation type reader” item are provided. For each reader type, a coefficient “1” is set in advance for a necessary “capability requirement”, and a coefficient “0” is set in advance for an unnecessary “capacity requirement”. For example, when the leader type is “business leader”, three “ability requirements” (E-1), (E-2), and (E-3) whose “ability classification” is “vision” are required. Three “ability requirements” (F-1), (F-2), and (F-3) with “capability category” as “command” are required, and three “capability requirements” with “capability category” as “subject” (G-1), (G-2), and (G-3) are required, and the three “capability requirements” (H-1), (H-2), (H-3) is made unnecessary, the three “ability requirements” (I-1), (I-2) and (I-3) whose “ability classification” is “cooperation” are made unnecessary, and The three “ability requirements” (J-1), (J-2), and (J-3) whose “ability classification” is “service” are not required (the same applies to other leader types) ).

  Further, as shown in FIG. 24, the “reader type diagnosis database” includes “spring-spring”, “summer-summer”, “winter-summer”, and “winter-autumn” for each of 16 season types, and , A plurality of “capability requirements” (corresponding to diagnostic elements) (E-1 to E-3, F-1 to F-3, G-1 to G-3, H-1 to H-3, I-1 to A score of any one of “0”, “1”, “2”, “3”, “4” and “5” is set in advance for each of I-3, J-1 to J-3). For example, in the “spring-summer” season type, the “capability category” is set to “2” for the “capability requirement” (E-1) of the “vision” and the (E-2) A score of “1” is set, a score of “5” is set for (E-3), and a score of “1” is set for “capability requirement” (F-1) with “capability category” being “command”. The score "2" is set for (F-2), the score "2" is set for (F-3), and the "capability requirement" (G The score “2” is set for (-1), the score “5” is set for (G-2), the score “3” is set for (G-3), and the “ability classification” A score of “2” is set for “capability requirement” (H-1) of “self-supporting”, a score of “3” is set for (H-2), and a score for (H-3) "4" is set The score “2” is set for the “capability requirement” (I-1) whose “capability category” is “collaboration”, the score “3” is set for (I-2), and (I -3), a score of “4” is set, a score of “2” is set for a “capability requirement” (J-1) with a “capability category” of “service”, and a score of (J-2) The score “3” is set, and the score “1” is set for (J-3) (the same applies to other season types). Here, for the four types of season types "Spring-Spring" ... "Winter-Winter", four types of scores "0", "1", "2" and "3" are used. However, there are five types of scores, “1”, “2”, “3”, “4”, and “5”, for “Spring-Summer” ... “Winter-Autumn”. However, it is not limited to this.

  Accordingly, for example, referring to FIG. 19, when “season type” is “spring-spring”, in step S411, “sum (α)” for “business leader” is (1 + 0 + 3 + 0 + 1 + 0 + 2 + 3 + 2) = “12”. As for “facilitation type reader”, (1 + 0 + 3 + 0 + 1 + 0 + 1 + 2 + 0) = “8” is written as “total (α)”. If the “season type” is “winter-autumn”, for the “business leader”, (1 + 3 + 2 + 5 + 4 + 4 + 3 + 1 + 2) = “25” is written for “business leader”, and “facilitation type” As for “leader”, (1 + 3 + 2 + 5 + 4 + 4 + 4 + 1 + 5) = “29” is written in “sum (α)” (the same applies to other season types).

  Returning to FIG. 22, the obtained “total (α)” is divided by the number of “capability requirements” having a coefficient of “1” to obtain the “average value (β)” of the score. It writes in the “diagnosis correspondence table” (step S412). For example, referring to FIG. 19, when the “season type” is “spring-spring”, the number of “capability requirements” having a coefficient “1” is “9” for the “business leader” in the step S412. Therefore, “average value (β)” is written as (12 ÷ 9) = “1.3”, and for “facilitation type reader”, the number of “capability requirements” whose coefficient is “1” is Since “9”, “average value (β)” is written as (8 ÷ 9) = “0.9”. If the “season type” is “winter-autumn”, since the number of “capability requirements” having a coefficient “1” is “9” for the “business leader” in the step S412, “average” As the value (β), (25 ÷ 9) = “2.8” is written, and for the “facilitation type reader”, the number of “capability requirements” having a coefficient “1” is “9”. Therefore, (29 ÷ 9) = “3.2” is written in “average value (β)” (the same applies to other season types).

  Returning to FIG. 22 again, the obtained “average value (β)” is divided by the maximum value (“3” or “5”) of the season type score to obtain the “standardized value (γ)” of the score, It is written in the “reader type diagnosis correspondence table” (step S413). For example, referring to FIG. 19, when the “season type” is “spring-spring”, the maximum value of the score for “business leader” is “3” in step S413. “(1.3 ÷ 3) =“ 0.43 ”is written, and“ standardized value (γ) ”is (0.9 ÷ 3) =“ 0.30 ”for the“ facilitation type reader ”. "Is written. When the “season type” is “winter-autumn”, the maximum value of the score for the “business leader” is “5” in the step S413. Therefore, the “standardized value (γ)” is (2 .8 ÷ 5) = “0.56” is written, and “standardized value (γ)” is written as (3.2 ÷ 5) = “0.64” for “facilitation type reader” ( The same applies to other season types).

  Returning to FIG. 22 again, the ranking of the obtained “standardized value (γ)” is written in the “reader type diagnosis correspondence table” (step S414). For example, referring to FIG. 19, when “Season Type” is “Spring-Spring”, the ranking “2” is written for “Business Leader” in Step S414, and “Facilitation Leader” is , “9” is written as the ranking. If the “season type” is “winter-autumn”, the rank “3” is written for the “business leader” and the rank is “1” for the “facilitation leader” in step S414. "Is written (the same applies to other season types).

  Next, the “appropriate occupation diagnosis” operation (V) performed by the person diagnosis system 10 will be described in detail. FIG. 25 is a flowchart showing the “appropriate occupation diagnosis” operation (V). That is, for all “employee numbers” recorded in the “season type table”, the “season type” is applied to the “appropriate occupation diagnosis correspondence table”, and the rank and standardized value (γ) are set to the “appropriate occupation diagnosis result file. "(Step S501).

  Here, as shown in FIG. 26, the “appropriate occupational diagnosis correspondence table” includes “office manager”, “production manager” to “new” for each season type of “spring-spring” to “winter-autumn”. "Business development" category (there are 14 types in total) is provided, and the items for each category include "summation (α)", "average value (β)", "standardized value (γ)" and "rank" Each column is provided and a numerical value is written. For example, in the “spring-spring” season type, the “office manager” has “16” for “summation (α)”, “1.5” for “average value (β)”, and “standardized value (γ ) ”Is“ 0.50 ”and“ rank ”is“ 4 ”, and“ new business development ”is“ total (α) ”is“ 9 ”and“ average value (β) ”is“ 1.5 ”. The “standardized value (γ)” is “0.50” and the “rank” is “14” (the same applies to other season types).

  In addition, as shown in FIG. 27, the “appropriate occupation type diagnosis result file” records the “season type” of the diagnosed person with “employee number” as a key, and “office manager” to “new business development”. “Order” and “Standardized value (γ)” are recorded for each job type.

  Then, according to the registered contents of the “appropriate occupational diagnosis result file”, a “appropriate occupational diagnosis result” screen as shown in FIG. 28 is displayed on the output device (display device) 13 of the person diagnosis system 10 (presentation of diagnosis results). ). As shown in the drawing, a plurality of job types are shown in descending order of the appropriateness (“standardized value (γ)”) of the diagnosed person, along with the name and season type of the diagnosed person.

  Here, the operation of creating the “suitable job type diagnosis correspondence table” in FIG. 26 will be described in detail. This operation is performed in advance before the person diagnosis system 10 performs the person diagnosis operation of FIG. In short, the “appropriate occupation diagnosis diagnosis correspondence table” includes a plurality of diagnosis elements (E-1 to E-1) that constitute a suitable occupation classification diagnosis result for each of a plurality of season types (“spring-spring” to “winter-autumn”). E-3, F-1 to F-3, G-1 to G-3, H-1 to H-3, I-1 to I-3, J-1 to J-3) Created according to the score. FIG. 29 is a flowchart showing the “create appropriate job type diagnosis correspondence table” operation. First, for all the “season type” cases recorded in the “appropriate occupational diagnosis database”, for each leader type of the “appropriate occupational diagnosis database”, the coefficient of “capability requirement” (corresponding to the diagnostic element) and the “season type” Is multiplied by the obtained score, and the “total (α)” of the obtained scores is obtained and written in the “suitable occupation diagnosis diagnosis correspondence table” (step S511).

  Here, as shown in FIG. 30, the “appropriate occupational diagnosis database” includes a plurality of “capability requirements” (diagnostic elements) for each “capability category” (three in the example: not limited to this). For each “capability requirement”, a plurality of job types, that is, an “administrative manager” item, a “production manager” item, and a “new business development” item are provided. For each occupation, a coefficient “1” is set in advance for the necessary “capability requirement”, and a coefficient “0” is set in advance for the unnecessary “capability requirement”. For example, when the occupation type is “administrative manager”, one “ability requirement” (E-1) whose “capability classification” is “vision” is unnecessary, and the other two “ability requirements” (E-2) , (E-3) are required, and three “ability requirements” (F-1), (F-2), and (F-3) with “capability division” as “command” are required. Two “capability requirements” (G-1) and (G-2) with “classification” as “subject” are not required, and another “capability requirement” (G-3) is required. "Capability requirements" (H-1) and (H-2) are required, and the other "capability requirements" (H-3) are not required, and "capability classification" One “capability requirement” (I-1) of “cooperation” is unnecessary, the other two “capability requirements” (I-2) and (I-3) are required, and “capability” Two "classification" is "service" “Requirements for Strength” (J-1) and (J-3) are not required, and another “Requirement for Capabilities” (J-2) is required (the same applies to other occupations) .

  Further, as shown in FIG. 31, the “appropriate occupational diagnosis database” includes “spring-spring”, “summer-summer”, “winter-summer”, “winter-autumn”, and 16 season types, and , A plurality of “capability requirements” (corresponding to diagnostic elements) (E-1 to E-3, F-1 to F-3, G-1 to G-3, H-1 to H-3, I-1 to A score of any one of “0”, “1”, “2”, “3”, “4” and “5” is set in advance for each of I-3, J-1 to J-3). For example, in the “spring-summer” season type, the “capability category” is set to “2” for the “capability requirement” (E-1) of the “vision” and the (E-2) A score of “1” is set, a score of “5” is set for (E-3), and a score of “1” is set for “capability requirement” (F-1) with “capability category” being “command”. The score "2" is set for (F-2), the score "2" is set for (F-3), and the "capability requirement" (G The score “2” is set for (-1), the score “5” is set for (G-2), the score “3” is set for (G-3), and the “ability classification” A score of “2” is set for “capability requirement” (H-1) of “self-supporting”, a score of “3” is set for (H-2), and a score for (H-3) "4" is set The score “2” is set for the “capability requirement” (I-1) whose “capability category” is “collaboration”, the score “3” is set for (I-2), and (I -3), a score of “4” is set, a score of “2” is set for a “capability requirement” (J-1) with a “capability category” of “service”, and a score of (J-2) The score “3” is set, and the score “1” is set for (J-3) (the same applies to other season types). Here, for the four types of season types "Spring-Spring" ... "Winter-Winter", four types of scores "0", "1", "2" and "3" are used. However, there are five types of scores, “1”, “2”, “3”, “4”, and “5”, for “Spring-Summer” ... “Winter-Autumn”. However, it is not limited to this.

  Therefore, referring to FIG. 26, for example, when “season type” is “spring-spring”, in step S511, “sum (α)” is “0 + 3 + 0 + 1 + 0 + 2 + 1 + 2 + 3 + 2 + 2” = “16” As for “new business development”, (1 + 0 + 2 + 1 + 2 + 3) = “9” is written in “total (α)”. If the “season type” is “winter-autumn”, “3 + 2 + 5 + 4 + 4 + 2 + 3 + 3 + 1 + 2 + 1” = “30” is written in the “sum total (α)” for the “office manager” in the step S511, and “new business” For “Development”, (1 + 3 + 3 + 3 + 3 + 1) = “14” is written in “Total (α)” (the same applies to other season types).

  Returning to FIG. 29, the obtained “total (α)” is divided by the number of “capability requirements” having a coefficient of “1” to obtain the “average value (β)” of the score, Write to the "diagnosis correspondence table" (step S512). For example, referring to FIG. 26, when the “season type” is “spring-spring”, the number of “capability requirements” having a coefficient “1” is “11” for the “office manager” in the step S512. Therefore, “average value (β)” is written as (16 ÷ 11) = “1.5”, and “new business development” has the number of “capability requirements” having a coefficient of “1”. Since “6”, (9 ÷ 6) = “1.5” is written in “average value (β)”. If the “season type” is “winter-autumn”, the number of “capability requirements” having a coefficient “1” for the “office manager” is “11” in the step S512. As the average value (β), (30 ÷ 11) = “2.7” is written, and for “new business development”, the number of “capability requirements” having a coefficient of “1” is “6”. Therefore, (14 ÷ 6) = “2.3” is written in “average value (β)” (the same applies to other season types).

  Returning to FIG. 29 again, the obtained “average value (β)” is divided by the maximum value (“3” or “5”) of the season type score to obtain the “standardized value (γ)” of the score, It is written in the “suitable job type diagnosis correspondence table” (step S513). For example, referring to FIG. 26, when the “season type” is “spring-spring”, the maximum value of the score for the “office manager” is “3” in step S513. ) ”Is written as (1.5 ÷ 3) =“ 0.50 ”, and for“ new business development ”, the“ standardized value (γ) ”is (1.5 ÷ 3) =“ 0.50 ” "Is written. When the “season type” is “winter-autumn”, the maximum value of the score for the “office manager” is “5” in the step S513, so the “standardized value (γ)” is ( 2.7 ÷ 5) = “0.54” is written, and for “new business development”, (2.3 ÷ 5) = “0.46” is written in “standardized value (γ)” ( The same applies to other season types).

  Returning to FIG. 29 again, the ranking of the obtained “standardized value (γ)” is written in the “suitable job type diagnosis correspondence table” (step S514). For example, referring to FIG. 26, when “Season Type” is “Spring-Spring”, the rank “4” is written for “Office Manager” and “New Business Development” is set in Step S514. , “14” is written as the ranking. If the “season type” is “winter-autumn”, the rank “2” is written for the “office manager” in the step S514, and the rank “3” for “new business development”. "Is written (the same applies to other season types).

  Finally, the “team type diagnosis” operation (VI) performed by the person diagnosis system 10 will be described in detail. FIG. 32 is a flowchart showing the “team type diagnosis” operation (VI). First, for all “employee numbers” recorded in the “season type table”, the “supervisor”, “colleague” and “subordinate” of the “person” are read from the “team hierarchy table”, and from the “season type table” The opponent's season type is read (step S601).

  Here, as an example, FIG. 33 shows a hierarchical diagram of “Team Patent”, which is headed by “Taro Patent” whose “employee number” is “1001”. The direct reports of “Taro Taro” are “Mr. A (Kyoto)” and “Mr. F (Osaka)”, and the subordinates of “Mr. A (Kyoto)” are “Mr. B (first)” and “ “Mr. C (second)”, and the direct reports of “Mr. C (second)” are “Mr. D” and “Mr. E”. On the other hand, the direct reports of “Mr. F (Osaka)” are “Mr. G (first)”, “Mr. H (second)”, and “Mr. I (third)”. In the figure, the suffix is the employee number.

  Regarding the organization of the “team patent”, a “team hierarchy table” having a structure as shown in FIG. 34 is stored in the data recording unit 14 b of the recording device 14 of the person diagnosis system 10. That is, for each “team name”, each of the team members is set as “person”, and “employee number” and “name” of “supervisor”, “colleague” and “subordinate” are recorded. For example, “Taro Tokkyo” does not have “superior” and “colleague” but only “subordinate”. In “Mr. B”, there is no “subordinate”, only “boss” and “colleague”. On the other hand, “Mr. C” includes “boss”, “colleague”, and “subordinate”.

  Returning to FIG. 32, next, “person's season type” and “partner's season type” are applied to the “team type diagnosis compatibility table”, and the degree of compatibility of both is written in the “team type diagnosis result file” ( Step S602).

  Here, as shown in FIG. 35, the “team type diagnosis compatibility table” has “spring-spring”, “summer-summer”, “winter-summer”, and “winter-autumn” in 16 ways. For each combination of “season type” and “spring-spring”, “summer-summer”, “winter-summer” and “winter-autumn” 16 types of “partner season type”, “1”, Any score (degree of compatibility) of “2”, “3”, “4”, “5” and “6” is preset (the higher the score, the better the compatibility). For example, if the "person's season type" is "spring-spring" and the "partner's season type" is "spring-spring", the compatibility is "4" and the "person's season type" is "spring-autumn" When “the other party's season type” is “winter-autumn”, the compatibility is “3”.

  Returning to FIG. 32 again, next, “partner position” and “partner season type” are applied to the “compatibility comment table”, and the obtained comments are written in the “team type diagnosis result file” (step S603). .

  Here, as shown in FIG. 36, the “compatibility comment table” includes three “partner positions” of “supervisor”, “colleague”, and “subordinate”, “spring-spring”, and “summer-summer”. ... Comments (including advice on how to contact the partner) are written in advance for each of the 16 combinations of “Winter-Summer” and “Winter-Autumn”. Yes.

  As shown in FIG. 37, the “team type diagnosis result file” uses the “employee number” as a key and the “season type”, “partner position”, “partner employee number”, “partner” of the person being diagnosed. "Name", "partner's season type", "compatibility" with the partner as seen from the person being diagnosed ("person"), and "comment" to the partner are recorded. For example, in the case of “Patent Taro” whose “employee number” is “1001” and “season type” is “spring-summer”, the “season type” of “subordinate” “Mr. A” is “summer-summer”. The “compatibility” seen by “Taro Tokkyo” is “5”. Similarly, the “season type” of “Mr. F”, who is also “subordinate”, is “Autumn-Summer”, and the “degree of compatibility” as viewed from Mr. Taro Patent is “4”.

  Then, according to the registered contents of the “team type diagnosis result file”, a “team type diagnosis result (individual)” screen as shown in FIG. 38 is displayed on the output device (display device) 13 of the person diagnosis system 10 (diagnosis). Presentation of results). As shown in the drawing, along with the name and season type of the person to be diagnosed, compatibility with the immediate superior, colleagues and direct reports and comments on the partner are shown.

  Further, by pressing the “view entire team” button on the “team type diagnosis result (individual)” screen, the “team type diagnosis result (entire team)” screen as shown in FIG. Displayed on (display device) 13 (presentation of diagnosis result). On this “team type diagnosis result (entire team)” screen, the degree of compatibility of each team member other than himself / herself with his / her immediate superior, colleagues and direct reports is displayed.

  As described above in detail with reference to specific examples, according to the present embodiment, in performing a person diagnosis using a computer (person diagnosis system 10), an answer of a person to be diagnosed (for example, “Taro Patent”) is obtained. (Operation I: answer file of FIG. 8), then, based on the acquired tendency of the person to be diagnosed, the person to be diagnosed once is one of a plurality of divisions (16 season types) created in advance. Classified into categories (operation II: season type table in FIG. 10), and the correspondence between the categories prepared in advance and the diagnostic results (personality diagnostic correspondence table in FIG. 12, reader type diagnostic correspondence table in FIG. 19, diagram) According to the 26 appropriate occupational type diagnosis correspondence table), the personality diagnosis (operation III) of the diagnosis subject, the reader type diagnosis (operation IV) of the diagnosis target, and / or the appropriate occupational diagnosis of the diagnosis target (Operation V) is performed (the personality diagnosis result file in FIG. 13, the reader type diagnosis result file in FIG. 20, the aptitude type diagnosis result file in FIG. 27), and the tendency of the person to be diagnosed to respond to the person diagnosis result As a result, even if the person to be diagnosed deliberately deviates from the true intention, the influence is diluted, and thus an accurate and accurate accurate person diagnosis (operation III to operation V) ) Will be achieved.

  Similarly, according to the present embodiment, in performing a person diagnosis using a computer (person diagnosis system 10), a diagnosis target person (for example, “Patent Taro”) and a team to which the diagnosis target belongs (for example, “team patent”). Responses of other diagnosed persons (for example, “Mr. A” and “Mr. F”) are acquired (operation I: response file in FIG. 8). From the tendency of the diagnosis person's answer, the person to be diagnosed and the other person to be diagnosed are once classified into one of a plurality of previously prepared divisions (16 season types) (operation II: FIG. 10). The compatibility diagnosis (operation VI) between the person to be diagnosed and another person to be diagnosed is performed in accordance with the compatibility relationship between the divisions (season type table) and the team type diagnosis compatibility table in FIG. Since the( 37 team type diagnosis result files), the tendency of answers of the diagnosed person and the tendency of answers of other diagnosed persons are not directly connected to the person diagnosis result, and as a result, even the diagnosed person and other diagnosed persons Even if the answer deliberately deviates from the true intention, the influence is diluted, so that the compatibility diagnosis (operation VI) between the correct and highly accurate appropriate diagnosed person and other diagnosed persons is achieved. It will be.

  Similarly, according to the present embodiment, when performing a person diagnosis using a computer (person diagnosis system 10), the first team (for example, “team patent”) to which the diagnosed person (for example, “patent Taro”) belongs is assigned. Answers of other diagnosed persons (for example, “Mr. C”) and responses of second other diagnosed persons (for example, “Mr. D” and “Mr. E”) are acquired (operation I: answer file in FIG. 8) Next, from the acquired tendency of the response of the first other subject and the tendency of the second other subject's answer, the first other subject and the second other subject The diagnosis person is classified into one of a plurality of pre-created divisions (16 season types) (operation II: season type table in FIG. 10), and compatibility between the pre-prepared divisions Relationship (Team type diagnostic compatibility table in Fig. 35) Accordingly, since the compatibility diagnosis (operation VI) between the first other subject and the second other subject is performed (team type diagnosis result file in FIG. 37), the first other subject is examined. The tendency of the answer of the diagnosis person and the tendency of the answer of the second other diagnosis person are not directly connected to the person diagnosis result. As a result, even if the first other diagnosis person and the second other diagnosis object Even if a person deliberately deviates from his true intention, the influence is diluted, and the compatibility between the first other diagnosed person and the second other diagnosed person is accurate and accurate. Diagnosis (operation VI) is achieved, and as a result, the type diagnosis (operation VI) of the team to which the person to be diagnosed belongs is achieved.

  In this case, according to the present embodiment, the question presented to the diagnosed person and other diagnosed persons is answered through vision (for example, a favorite color, a favorite pattern, a favorite pattern, a favorite shape, etc. (See Fig. 3 to Fig. 5). As a result, the patient is unable to add any effort to the answer according to his wishes and ideals. An accurate person diagnosis with high accuracy will be realized.

  In addition, according to the present embodiment, the diagnosis result output means (the output device 13 in FIG. 1) allows the person to be diagnosed to display his / her personality diagnosis result (see FIG. 14) and his / her reader on the display screen or printed matter. Type diagnosis result (see FIG. 21), self-appropriate occupational diagnosis result (see FIG. 28), compatibility diagnosis result between self and other subject (see FIG. 38), and / or first other subject The compatibility diagnosis result (see FIG. 39) with the second other subject can be known.

  According to this embodiment, the personality diagnosis correspondence table of FIG. 12, the reader type diagnosis correspondence table of FIG. 19, or the table stored in the data recording unit 14b of the recording device 14 of the computer (person diagnosis system 10), or 26 is set in advance for each of a plurality of categories (“spring-spring” to “winter-autumn”) and a plurality of diagnosis elements (A-1... J-3) constituting the diagnosis result. The correspondence table is created according to the score obtained (see the personality diagnosis database in FIGS. 16 to 17, the reader type diagnosis database in FIGS. 23 to 24, and the appropriate job type diagnosis database in FIGS. 30 to 31). Is created based on a preset score (for example, “0”, “1”, “5”, etc.) regardless of the tendency of the patient's response. As a result, the influence of the diagnosis subject's answer is diluted, and thus accurate personality diagnosis (operation III), reader type diagnosis (operation IV) and / or aptitude job diagnosis (operation V) are achieved with high accuracy. The Rukoto.

  Although the above embodiment is the best embodiment of the present invention, it goes without saying that various changes, modifications, and improvements may be made without departing from the scope of the claims. For example, the questions presented to the person to be diagnosed may all be “visual image & color” questions, or may be all “environment / personal” questions. Also, the number of questions asked is not particularly limited. Further, in the above embodiment, the “season type” that imagines the four seasons of spring, summer, autumn and winter is adopted as the category for classifying the diagnosed person, but it is not particularly limited to this, and it is classified into categories by other expressions and formats. It doesn't matter. When the “season type” is adopted, in the embodiment, there are 16 patterns from “spring-spring”, “summer-summer”,..., “Winter-summer”, “winter-autumn”. Depending on the situation, it can be further subdivided. For example, in consideration of up to the third place of the “total number of answers”, the “spring-spring-summer” type, the “winter-summer-spring” type, or the like can be used. In addition, in each diagnosis database of FIGS. 16 to 17, 23 to 24, and 30 to 31, the type and number of “diagnostic elements” are not particularly limited, and the type and number of “scores” are also particularly limited. Is not to be done. Furthermore, in each correspondence table of FIG. 12, FIG. 19, and FIG. 26, even if the same “season type”, the distribution of “total number of responses” during the season when determining the “season type” is taken into consideration. Alternatively, it may be further finely divided and corrected.

  As described above, the present invention achieves an accurate and accurate accurate person diagnosis by diluting the influence even when the subject makes an answer that deviates from the true intention due to the difference between the real intention and the founding. As a result, the present invention has wide industrial applicability to a business model for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person.

It is a block diagram which shows the whole structure of the person diagnostic system which concerns on embodiment of this invention. It is a flowchart which shows the flow of the whole person diagnostic operation | movement which the said person diagnostic system performs. FIG. 3 is a structural diagram of a “question (visual image & color) database” stored in a data recording unit of a recording device of the person diagnosis system. Similarly, it is a structural diagram of an “image database”. It is explanatory drawing of the "question (visual image & color)" screen displayed on the output device (display apparatus) of the said person diagnostic system. FIG. 3 is a structural diagram of a “question (environment / person) database” stored in a data recording unit of a recording device of the person diagnosis system. It is explanatory drawing of the "question (environment / person)" screen displayed on the output device (display apparatus) of the said person diagnostic system. FIG. 4 is a structural diagram of an “answer file” stored in a data recording unit of a recording device of the person diagnosis system. It is a flowchart which shows the "season type determination" operation | movement (II) which the said person diagnosis system performs. FIG. 3 is a structural diagram of a “season type table” stored in a data recording unit of a recording device of the person diagnosis system. It is a flowchart which shows the "personality diagnosis" operation | movement (III) which the said person diagnosis system performs. FIG. 3 is a structural diagram of a “personality diagnosis correspondence table” stored in a data recording unit of a recording device of the person diagnosis system. Similarly, it is a structure diagram of a “personality diagnosis result file”. It is explanatory drawing of the "personality diagnostic result" screen displayed on the output device (display apparatus) of the said person diagnostic system. 7 is a flowchart showing a “personality diagnosis correspondence table creation” operation performed by the person diagnosis system. It is a structure figure of the first half part of the "personality diagnostic database" stored in the data recording part of the recording device of the said person diagnostic system. Similarly, it is a structural diagram of the latter half of the “personality diagnostic database”. It is a flowchart which shows the "reader type diagnosis" operation | movement (IV) which the said person diagnostic system performs. FIG. 3 is a structural diagram of a “reader type diagnosis correspondence table” stored in a data recording unit of a recording device of the person diagnosis system. Similarly, it is a structural diagram of a “reader type diagnosis result file”. It is explanatory drawing of the "leader type diagnostic result" screen displayed on the output device (display apparatus) of the said person diagnostic system. 6 is a flowchart showing a “reader type diagnosis correspondence table creation” operation performed by the person diagnosis system. It is a structure figure of the first half part of the "reader type diagnostic database" stored in the data recording part of the recording device of the said person diagnostic system. It is the structure figure of the latter half part of a "reader type diagnostic database" similarly. It is a flowchart which shows "appropriate occupation type diagnosis" operation | movement (V) which the said person diagnostic system performs. FIG. 3 is a structural diagram of a “suitable occupation diagnosis diagnosis correspondence table” stored in a data recording unit of a recording device of the person diagnosis system. Similarly, it is a structural diagram of a “suitable job type diagnosis result file”. It is explanatory drawing of the "aptitude type diagnosis result" screen displayed on the output device (display device) of the person diagnostic system. It is a flowchart which shows "appropriate occupation type diagnosis correspondence table creation" operation | movement which the said person diagnosis system performs. It is a structural diagram of the first half of the “appropriate occupation diagnosis database” stored in the data recording unit of the recording device of the person diagnosis system. Similarly, it is a structural diagram of the latter half of the “appropriate occupational diagnosis database”. It is a flowchart which shows "team type diagnosis" operation | movement (VI) which the said person diagnosis system performs. It is a hierarchical diagram of “Team Patent” headed by “Taro Taro”. It is a structure figure of the "team hierarchy table" stored in the data recording part of the recording device of the said person diagnostic system. Similarly, it is a structural diagram of a “team type diagnosis compatibility table”. Similarly, it is a structural diagram of a “compatibility comment table”. Similarly, it is a structural diagram of a “team type diagnosis result file”. It is explanatory drawing of the "team type diagnostic result (individual)" screen displayed on the output device (display apparatus) of the said person diagnostic system. It is explanatory drawing of a "team type diagnostic result (the whole team)" screen similarly.

Explanation of symbols

10 Computer (person diagnostic system)
11 central processing unit 12 input device 13 output device 14 recording device 14a program recording unit 14b data recording unit

Claims (9)

A method of performing a person diagnosis based on a diagnosis person's answer to a question presented to the diagnosis person,
In the computer,
Classify the diagnosed person into one of a plurality of categories created in advance from the tendency of the response of the diagnosed person,
Next, performing at least one of the personality diagnosis of the diagnosed person, the reader type diagnosis of the diagnosed person, and the appropriate occupational type diagnosis of the diagnosed person in accordance with the correspondence between the classification and the diagnosis result created in advance. Character diagnosis method characterized. A method of performing a person diagnosis based on a diagnosis person's answer to a question presented to the diagnosis person,
In the computer,
Each of the diagnosed person and the other diagnosed person is classified into one of a plurality of previously created classifications based on the tendency of the answer of the diagnosed person and the tendency of the other diagnosed person's answer to the team to which the diagnosed person belongs. Classify and
Next, a person diagnosis method characterized by performing a compatibility diagnosis between a person to be diagnosed and another person to be diagnosed according to a compatibility relationship between the categories created in advance. The person diagnosis method according to claim 2,
In the computer,
The first other diagnosed person and the second other diagnosed person from the tendency of the answer of the first other diagnosed person of the team to which the diagnosed person belongs and the tendency of the answer of the second other diagnosed person Are each classified into one of a plurality of previously created categories,
Next, the type diagnosis of the team to which the diagnosed person belongs is performed by performing the compatibility diagnosis between the first other diagnosed person and the second other diagnosed person in accordance with the compatibility relationship between the previously created categories. A person diagnosis method characterized in that The person diagnosis method according to any one of claims 1 to 3,
A person diagnosis method characterized in that a question presented to a person to be diagnosed and another person to be diagnosed is to make the person to be diagnosed and other persons to be diagnosed answer through vision. A system for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person,
In the computer,
A classifying means for classifying the diagnosed person into one of a plurality of categories prepared in advance from the tendency of the response of the diagnosed person;
Personality diagnosis correspondence table in which the correspondence between the category and the personality diagnosis result of the diagnosed person is written, the reader type diagnostic correspondence table in which the correspondence between the category and the reader type diagnostic result of the diagnostic subject is written, and the classification And correspondence table recording means for recording at least one correspondence table of the suitable occupation type diagnosis correspondence table in which the correspondence relationship between the diagnosis result and the appropriate occupation type diagnosis result of the person to be diagnosed is written,
From the classification of the diagnosed person classified by the classification means and the correspondence table recorded by the recording means, the personality diagnosis result of the diagnosis person, the reader type diagnosis result of the diagnosis person, and the appropriate occupational diagnosis of the diagnosis person Diagnostic result reading means for reading at least one diagnostic result of the results; and
A person diagnosis system comprising diagnosis result output means for outputting a diagnosis result read by the diagnosis result reading means. The person diagnosis system according to claim 5,
The correspondence table recorded by the correspondence table recording means is:
A person diagnosis system created according to a score set in advance for each category and for each diagnosis element constituting a diagnosis result. A system for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person,
In the computer,
Each of the diagnosed person and the other diagnosed person is classified into one of a plurality of previously created classifications based on the tendency of the answer of the diagnosed person and the tendency of the other diagnosed person's answer to the team to which the diagnosed person belongs. Classification means to classify,
Compatibility table recording means for recording a compatibility table in which the compatibility relationship between the sections is written;
From the classification of the diagnosed person and the classification of the other diagnosed person classified by the classification means and the compatibility table recorded by the recording means, the compatibility diagnosis result of the diagnosed person and the other diagnosed person is read out Diagnostic result reading means, and
A person diagnosis system comprising: a diagnosis result output means for outputting a compatibility diagnosis result between a person to be diagnosed read by the diagnosis result reading means and another person to be diagnosed. The person diagnosis system according to claim 7,
The classification means determines the first other diagnosed person and the second one based on the tendency of answers of the first other diagnosed person and the tendency of answers of the second other diagnosed person of the team to which the diagnosed person belongs. Classify the other diagnosed person into one of a plurality of previously created categories,
The diagnosis result reading means includes a first other diagnosed person classification and a second other diagnosed person classification classified by the classification means, and a compatibility table recorded by the recording means. Read out the result of the compatibility diagnosis between the first other subject and the second other subject,
The diagnosis result output means outputs a compatibility diagnosis result between the first other diagnosed person and the second other diagnosed person read by the diagnosis result reading means. . A program for performing a person diagnosis based on the answer of the diagnosed person to the question presented to the diagnosed person,
Computer
One of a plurality of categories in which the diagnosed person and the other plurality of diagnosed persons are created in advance from the tendency of the answer of the diagnosed person and the tendency of the answers of the other plurality of diagnosed persons to whom the diagnosed person belongs Classification means for classifying each into two categories
Personality diagnosis correspondence table in which the correspondence between the category and the personality diagnosis result of the diagnosed person is written, the reader type diagnosis correspondence table in which the correspondence between the category and the reader type diagnostic result of the diagnostic subject is written, and the classification A correspondence table recording means for recording a correspondence table for a suitable occupational type diagnosis in which a correspondence relationship between a diagnosis result and a suitable occupational type diagnosis result of the person being diagnosed is written,
Compatibility table recording means for recording a compatibility table in which the compatibility relationship between the sections is written;
From the classification of the diagnosed person classified by the classification means and the correspondence table recorded by the correspondence table recording means, the personality diagnosis result of the diagnosis person, the reader type diagnosis result of the diagnosis person, and the suitability of the diagnosis person While reading out the occupational diagnosis result, from the classification of the diagnosed person classified by the classification means and the classification of a plurality of other diagnosed persons, and the compatibility table recorded by the compatibility table recording means, A diagnostic result reading means for reading out a compatibility diagnosis result with the first diagnosis subject and a compatibility diagnosis result between the first other diagnosis subject and the second other diagnosis subject, and
A personal diagnosis program which functions as a diagnosis result output means for outputting a diagnosis result read by the diagnosis result reading means.

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