Personality diagnostic method, personality diagnostic device and printed matter for personality diagnosis

Abstract

To provide a novel personality diagnostic method, personality diagnostic device and printed matter for personality diagnosis that can objectively and accurately diagnose personality of a subject without getting misled with falsehood answers of the subject.SOLUTION: For a plurality of other subjects, document question definite values and music selection tendency values are stored as teacher data to previously create a latest self-multiplication type database, which is stored in a memory 12. Document form questions and subject music are presented to a subject 101 to be diagnosed by an information terminal 3, and a document question definite value and a music selection tendency value are acquired from a selective document associative answer and a selective music associative answer. Based upon the self-multiplication type database, a computer device 1 diagnoses the personality of the subject 101 to be diagnosed based upon prediction values calculated by the use of a calculation expression obtained through multiple regression analysis for the document question definite value and music selection tendency value of the subject 101 to be diagnosed.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a personality diagnosis method, a personality diagnosis device, and a printed matter for personality diagnosis, which are used for objectively grasping one's own personality and assisting in making decisions such as whether to employ personnel in an organization or the assignment of personnel.

Background Art

[0002] Conventionally, as described in Patent Document 1, a method of diagnosing a subject's personality has been proposed in which a plurality of questions (questionnaires) are provided to the subject, answers to these questions are obtained, and the answer results are analyzed.

[0003] Many of the above questions are in the form of text (questions in text form), and it is common for the subject's answers to be selected from a plurality of pre-prepared texts.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, in the content of the questions and answers in conventional personality diagnosis devices, there is a possibility that the subject may predict the analysis results and give false answers different from their true feelings, that is, lie, so that an advantageous analysis result for themselves is obtained, and it may not be possible to obtain an objective and accurate personality diagnosis result.

[0006] Therefore, the present invention has been proposed to solve the problems of the above various personality diagnosis devices, and an object of the present invention is to provide a new personality diagnosis method, a personality diagnosis device, and a printed matter for personality diagnosis that can objectively and accurately diagnose the subject's personality without being misled by the subject's false answers.

Means for Solving the Problem

[0007] The present invention has been proposed to solve the above problems. The first invention (the invention described in claim 1) relates to a personality diagnosis method, and includes a plurality of essay-form questions regarding personality and mental state, and a plurality of selective essay-related answers that are answered by a past subject by selecting them for these plurality of essay-form questions. These are provided to the past subject respectively. A specific essay-related answer selected by the past subject from the plurality of selective essay-related answers is acquired in advance by a computer device as an essay question determination value. A plurality of task music pieces are played for the past subject to listen to, and a plurality of music-related questions predetermined in words mainly consisting of adjectives regarding the impressions of the past subject received from these task music pieces, and a plurality of predetermined selective music-related answers selected by the past subject for these music-related questions are provided to the past subject who is listening to the plurality of task music pieces or the past subject after listening to the plurality of task music pieces respectively. A specific music-related answer selected by the past subject from the plurality of selective music-related answers is acquired in advance by a computer device as a music selection tendency value. By accumulating the essay question determination value and the music selection tendency value in a computer device as teacher data, a latest self-growing database is created in advance. The same essay-form questions as the essay-form questions, the same plurality of selective essay-related answers as the plurality of selective essay-related answers, the same task music pieces as the task music pieces, and the same selective music-related answers as the plurality of selective music-related answers are provided to the subject to be diagnosed respectively. Then, a computer device acquires an essay question determination value from a specific selective essay-related answer obtained from the subject to be diagnosed, and a computer device acquires a music selection tendency value from a specific selective music-related answer obtained from the subject to be diagnosed. Based on the latest self-growing database, the computer device diagnoses the personality of the subject to be diagnosed based on a predicted value calculated using a calculation formula obtained by multiple regression analysis for the essay question determination value and the music selection tendency value. That's what it is.

[0008] Further, the second invention (the invention according to claim 2) relates to a personality diagnosis device, and the computer device constituting the first invention (the invention according to claim 1) performs the presentation of the text-form questions constituting the first invention (the invention according to claim 1), the acquisition of the specific text-related answers, the reproduction of the plurality of problem-solving music pieces constituting the first invention (the invention according to claim 1), the presentation of the music-related questions according to claim 1, and the acquisition of the specific music-related answers, and is characterized by executing the personality diagnosis method according to claim 1.

[0009] Further, the third invention (the invention according to claim 3) is the personality diagnosis device according to claim 2, characterized in that, via an Internet line, the text-form questions, the plurality of problem-solving music pieces, and the selective music-related questions are provided to the information terminal of the subject, the subject is requested to input the specific text-related answers and the specific music-related answers to the information terminal, and the specific text-related answers and the specific music-related answers are acquired via the Internet line.

[0010] Further, the fourth invention (the invention according to claim 4) relates to a printed matter for personality diagnosis, and the address of the site where the plurality of problem songs constituting the first invention (the invention according to claim 1) are provided or the QR code (registered trademark) indicating the address, which are accessed by the subject described in the first invention (the invention according to claim 1) via the Internet line by the subject's information terminal, the text-form questions constituting the first invention (the invention according to claim 1), the song-related questions constituting the first invention (the invention according to claim 1), the specific text-related answers constituting the first invention (the invention according to claim 1) which are the selection results, and the specific song-related answers according to claim 1 are presented to the administrator of the computer device constituting the first invention (the invention according to claim 1). When the selection results are input by the administrator into the computer device, the personality diagnosis method according to the first invention (the invention according to claim 1) is executed, and the plurality of selective text-related answers constituting the first invention (the invention according to claim 1) and the plurality of selective song-related answers constituting the first invention (the invention according to claim 1) are each recorded.

[0011] Further, the fifth invention (the invention described in claim 5) relates to a printed matter for personality diagnosis, and the subject described in the first invention (the invention described in claim 1) accesses via an Internet line using the subject's information terminal, whereby the plurality of problem music pieces constituting the first invention (the invention described in claim 1), the text form questions constituting the first invention (the invention described in claim 1), the address of the site where the music-related questions constituting the first invention (the invention described in claim 1) are provided or a QR code indicating the address, and the specific text-related answers constituting the first invention (the invention described in claim 1) as the selection result and the specific music-related answers constituting the first invention (the invention described in claim 1) are presented to the administrator of the computer device described in claim 1. When the administrator inputs the selection result into the computer device, the personality diagnosis method according to the first invention (the invention described in claim 1) is executed, and the plurality of selective text-related answers constituting the first invention (the invention described in claim 1) and the plurality of selective music-related answers constituting the first invention (the invention described in claim 1) are each described.

Effect of the Invention

[0012] According to the present invention, it is possible to objectively and accurately diagnose the personality of a subject without being misled by a false answer of the subject. In particular, the present invention provides a text form question and selective text-related answers to the subject to obtain a specific text-related answer, and provides a plurality of problem music pieces, music-related questions, and selective text-related answers to obtain a specific music-related answer. Since the subject cannot predict the intention or tendency of personality diagnosis from the plurality of problem music pieces, it is impossible to predict the analysis result and give a false answer to obtain a good or self-advantageous analysis result. Therefore, according to the personality diagnosis method, personality diagnosis device, or printed matter for personality diagnosis according to this invention, an objective and accurate diagnosis result can be obtained, and thus it can be effectively used to support decisions such as the acceptance or assignment of personnel in an organization.

Brief Description of the Drawings

[0013]

Figure 1

Figure 2A

Figure 2B

Figure 3A

Figure 3B

Figure 3C

Embodiments for Carrying Out the Invention

[0014] Hereinafter, the best mode for carrying out the present invention will be described in detail with reference to the drawings.

[0015] 〔Outline of Personality Diagnosis Device〕 In order to implement the personality diagnosis method according to the present invention, first, a plurality of sentence-form questions regarding personality and mental state, and a plurality of selective sentence-related answers that are answered by past subjects selecting for these plurality of sentence-form questions are provided to the past subjects respectively, and a specific sentence-related answer selected by the past subject from the plurality of selective sentence-related answers is acquired in advance as a sentence question determination value by a computer device. Also, let a plurality of task music pieces be listened to by the past subjects, and for these task music pieces, the impressions of the past subjects be provided to the past subjects who are listening to the plurality of task music pieces or the past subjects after listening to the plurality of task music pieces, in the form of a plurality of predetermined music-related questions mainly using adjectives to describe these impressions, and a plurality of predetermined selective music-related answers selected by the past subjects for these music-related questions. Then, a specific music-related answer selected by the past subjects from the plurality of selective music-related answers is acquired in advance by a computer device as a music selection tendency value. Then, the text problem determination value and the music selection tendency value are accumulated by a computer device as teacher data, and a latest self-growing database is created in advance. Note that the presentation of the above text format questions may be done by printed materials, or as described later, through a display (display unit) that constitutes a subject's computer device capable of connecting to the Internet, or a display connected to the computer device, or the above display that constitutes the subject's smartphone. Also, the provision of the above task music pieces may be done by a general audio playback device, or by a computer device or smartphone through speakers or headphones. Next, for the subject to be diagnosed, a text problem determination value and a music selection tendency value obtained from the same text format questions, the same task music pieces, the same selective text-related answers, and the same selective music-related answers are acquired. Next, based on the latest self-growing database, by the computer device, for the text problem determination value obtained from the result of the subject to be diagnosed answering questions by text, and the music selection tendency value obtained from the adjective evaluation of music, a predicted value calculated using a calculation formula obtained by multiple regression analysis is used to diagnose the true personality and psychological state of the subject to be diagnosed.

[0016] In the present invention, the "teacher data" is the objective variable when performing multiple regression analysis. Regarding the evaluation of the subject to be diagnosed, there are two values: the evaluation value based on the text (text problem determination value) and the calculated value derived only from the adjective evaluation of music (music selection tendency value). The evaluation value based on the subject's text (text problem determination value) is included in the multiple regression analysis as teacher data (objective variable), but the evaluation value based on the subject's text (text problem determination value) is not used in the actual music evaluation calculation.

[0017] [Regarding multiple regression analysis] Hereinafter, the multiple regression analysis will be described. The text problem determination value obtained from the answer to the text problem is determined by the number of questions marked with "yes" and a circle in the presented text. For example, in a problem related to introversion - extroversion (hereinafter, this value is referred to as "IE" or "IE value") for a certain subject, if there are 3 questions marked with "yes" and a circle, the text problem determination value will be IE = 3. Since the IE value is introverted from 0 to 4 and extroverted from 5 to 9, IE = 3 is evaluated as somewhat introverted. In this case, the text problem determination value is one of 10 numerical values from 0 to 9. However, the analysis by multiple regression analysis results in a non - integer value such as 1.35878··.

[0018] On the other hand, in the present invention, the multiple regression analysis is performed on the set of text problem determination values and the selected values of adjectives in music (music selection tendency values) for all the subjects up to now. The multiple regression analysis converges to the formula of a linear function [Y = ax + b]. In the present invention, multiple regression analysis is performed based on a set of more than 400 text determination values and music selection tendency values. Specifically, for the multiple regression analysis, for all 400 pieces of data, the text determination value is used as the teacher data, and the value of the text determination value is predicted from the music selection tendency value. The most probable correlation formula is obtained from the relationship between a large number of text determination values (teacher data) and music selection tendency values. In [Y = ax + b], Y is the value predicted by calculation (i.e., the above IE value predicted from the music evaluation). Incidentally, completely different calculation formulas are established for each evaluation axis other than the introversion - extroversion (IE value).

[0019] [Content of the calculation formula] The calculation formula Y = {Q1 (the first adjective selection value of the first song) × 0.16857} + {Q7 (the selection value of the first song) × 1.3578} + {Q25 (the selection value of the first song) × -3.5784} ··· + 0.87542 (eigenvalue = b) is derived. Currently, the selection value of about 15 adjectives on average + the eigenvalue (equivalent to the intercept, b) is calculated to obtain the predicted value. That is, actually, the calculation formula becomes Y = ax1 + ax2 + ax3 ··· ax15 + b.

[0020] [Idea of evaluation 1] For example, for a person with a Q1 value of 6 (strongly agree), there is a tendency for the IE value to increase by 0.16857 times. Therefore, it is set as Q1 × 0.16857. This is simple regression analysis. The values (0.16857 ···) multiplied by the adjective selection values are also automatically calculated by the computer. For such tendencies, each is explored for 85 questions, and only those that have a more significant impact on the IE value are picked out to establish an equation.

[0021] [Idea of evaluation 2] Although it was stated that the ax part is about 15 on average, this is the result of the computer automatically selecting the questions (Q) that are considered necessary to explain the target variable (i.e., the predicted value) among the 85 questions. That is, the Qs that are not involved are excluded.

[0022] [Regarding the growth of the database] Multiple regression analysis analyzes by comprehensively summarizing the tendencies of each data set, so it will change when the data is updated. Even if the data increases a little, the certainty (reliability) will increase.

[0023] [Actual calculation] When the IE values of a certain subject are Q1 = 2, Q7 = 6, and Q25 = 0, Y=(2×0.16857)+(6×1.3578)+(0×-3.8784)···+0.87542 For example, it is rejected in the form of IE value = 3.75845··· This is the predicted value obtained only from the evaluation of music. 〔Others〕 This predicted value is somewhat consistent with the confirmed value of the text question, but not completely. This inconsistent part is the lying part of that person. In addition, since some of the indicators among all 85 questions are used as explanatory variables, even if an arbitrary answer is given in some question, it is impossible to imagine whether it will affect, for example, the IE value. Therefore, it is impossible to give an answer that is advantageous to oneself in the music answer.

[0024] 〔Configuration of Personality Diagnostic Device〕 FIG. 1 is a block diagram showing an example of the configuration of a personality diagnostic device according to the present invention that executes the personality diagnostic method of the present invention. Also, as shown in FIG. 1, the presentation of the plurality of text format questions, the plurality of music-related questions, and the plurality of task music may be performed by the computer device 1 via the Internet line 2 to the information terminal 3 such as a smartphone or a tablet terminal used by the subject 101 to be diagnosed.

[0025] The computer device 1 includes a CPU 11 and a memory 12, and the personality diagnostic program stored in the memory 12 is executed by the CPU 11. In addition, the memory 12 stores (stores) data of the text format questions and music-related questions, data of the plurality of task music, a self-growing database, and various other data, and these various data are read by the CPU 11. Further, various data (the confirmed value of the text question, the predicted value, and the music selection tendency value, etc.) are also written by the CPU 11 into the memory 12.

[0026] Then, the CPU 11 outputs, via the output interface 13, to the Internet line 2, the data of the text-form questions and music-related questions stored in the memory 12, the data of the plurality of task music pieces, and various other data. Further, to the CPU 11, via the input interface 14 and through the Internet line 2, data of the selective text-related answers and selective music-related answers (the text question determination value and the music selection tendency value) of the subject 101 to be diagnosed, which will be described later, and various other data are input.

[0027] On the other hand, to the information terminal 3 of the subject 101 to be diagnosed, via the input interface 31 and through the Internet line 2, the data of the text-form questions and the music-related questions, the data of the plurality of task music pieces, and various other data are input. Further, this information terminal 3 displays the text-form questions and the music-related questions and plays the plurality of task music pieces based on the data of the text-form questions, the music-related questions, and the plurality of task music pieces. Also, this information terminal 3 outputs, via the output interface 32, to the Internet line 2, data of the selective text-related answers and selective music-related answers (the text question determination value and the music selection tendency value) of the subject 101 to be diagnosed, which will be described later, and various other data.

[0028] 〔Creation of Self-Growing Database〕 The personality diagnosis method according to the present invention is executed by the following procedure. First, as described above, a plurality of text-form questions regarding personality and mental state and a plurality of selective text-related answers that past subjects answer by selecting in response to these plurality of text-form questions are provided to the respective past subjects, and specific text-related answers selected by the past subjects from the plurality of selective text-related answers are acquired in advance as text question determination values by a computer device. Also, let a plurality of task music pieces be listened to by the past subjects, and for these task music pieces, a plurality of music-related questions predetermined in words mainly consisting of adjectives and a plurality of selective music-related answers predetermined for the past subjects to select for these music-related questions are provided to the past subjects who are listening to the plurality of task music pieces or the past subjects after listening to the plurality of task music pieces respectively. A specific music-related answer selected by the past subject from the plurality of selective music-related answers is acquired in advance by a computer device as a music selection tendency value. Then, the text problem determination value and the music selection tendency value are stored as teacher data by a computer device, and the latest self-growing database is created in advance. Note that for the creation of the above-mentioned latest self-growing database, when data related to a specific text-related answer and music-related answer selected by a subject is input from the input interface 14 via the Internet line 2, the database stored in the memory 12 is automatically updated by the CPU 11 constituting the computer device 1. In addition to this case, as will be described later, when the specific text-related answer and music-related answer are sent by facsimile or mailed to the administrator of the computer device 1, the administrator inputs the specific text-related answer to update it, and even when the latest self-growing database is created, it may be the case.

[0029] [Diagnosis Procedure] (1) Conduct a text-form question (e.g., 36 questions) regarding the personality and psychological state for the subject to be diagnosed, and acquire a specific text-related answer answered by the subject to this question as a text problem determination value. The above-mentioned specific text-related answer is selected from the selective text-related answers. (2) Have the subject to be diagnosed listen to a plurality of task music pieces (for example, 4 pieces), and for the subject to be diagnosed who is listening to each task music piece or the subject to be diagnosed after listening, present a plurality of music-related questions predetermined in words mainly consisting of adjectives (for example, 10 - 25 for each piece) about the feelings of the subject to be diagnosed received from each task music piece, and obtain the above specific music-related answers (for example, a total of 85) as music selection tendency values. The music-related answers are selected from the selective music-related answers. (3) Based on the latest self-growing database, use the calculation formula obtained by multiple regression analysis for the text problem determination value obtained from the result of the subject to be diagnosed answering the questions in text and the music selection tendency value obtained from the adjective evaluation of music to calculate a predicted value. (4) Based on the above predicted value, diagnose the true personality and psychological state of the subject to be diagnosed.

[0030] 〔Analysis method〕 In this personality diagnosis, first, for the specific text-related answers (text problem determination values) to the text-form questions and the selection values of adjectives in music (music selection tendency values), the concept of teacher data is used. That is, the set of text problem determination values and music selection tendency values is analyzed as teacher data.

[0031] The above "analysis as teacher data" uses a method called multiple regression analysis, which is a multivariate analysis. Multiple regression analysis is a method of obtaining a predicted value by predicting a set of target text problem determination values and music selection tendency values (teacher data) from other data (music selection tendency values: music-related answers for task music pieces). The reliability (certainty) of how much the predicted value can obtain depends on the setting of the music selection tendency value.

[0032] In this embodiment, the text-form questions are based on Jung's 16 classifications, and multiple regression analysis is performed separately for each of the four evaluation values (extroversion-introversion, logic-emotion, etc.), for a total of four times of multiple regression analysis. In the personality diagnosis of the present invention, not only Jung's theory but also the results of other psychological tests can be predicted by performing multiple regression analysis based on the adjective evaluation values of music. For example, stress checks and the like are also assumed.

[0033] In addition, in the present embodiment, scores (numerical values) are assigned to the answers (article question determination values) of the above-described article format questions (36 questions) for each specific evaluation criterion (for example, "extroverted" and "introverted", "flexible" and "rule-oriented"), and the evaluation based on these scores is used as "teacher data". Next, the above "teacher data" is corrected or supplemented based on the selection results of the answers regarding the adjectives after listening to the task music.

[0034] Note that, theoretically, the analysis can be performed even if the task music is changed or the content of the article format questions is changed by using multiple regression analysis. Also, as described above, it can be applied not only to personality diagnosis but also to various psychological tests and stress checks.

[0035] 〔Regarding the database〕 In performing multiple regression analysis, based on the teacher data, a large amount of raw data (big data) is used for analysis. Big data is a self-growing type database that is revised and added daily to improve the discrimination accuracy. As the amount of data increases, the possibility of approaching the truth becomes higher, so it is a self-growing type database in order to improve the diagnosis accuracy.

[0036] Note that once the self-growing type database functions sufficiently, it becomes possible to establish predicted values only by evaluating the music-related answers for the task music using the discriminant formula developed, without newly adding the article question determination values and the music selection tendency values.

[0037] 〔Regarding the adjectives for the task music〕 The inventor of the present invention has arrived at the following findings. (1) It is possible to listen for an image with an adjective for a piece of music. That is, a certain tendency was found for each piece of music. It was found that the characteristics of the music could be identified from the tendency of the answers regarding adjectives, which indicates that the characteristics of the music can be identified by the adjectives used in the adjective image chart. (2) That the personal preferences can be inferred from the tendency of the answers regarding adjectives. From the survey results, not only the characteristics of the music but also the personal preferences could be inferred, and people with similar sensibilities (so-called feelings and preferences) could be identified by hierarchical cluster analysis from the tendency of the answers regarding adjectives among the subjects. (3) Although there are generally many adjective images, as a result of examining the responses to music, it was found that approximately 45 types of adjectives are sufficient to express the image of music. On this premise, in order to accurately extract the image of music, among these 45 types, the types of music were divided into two types, one type and the other type, and the adjectives were divided according to one or the other type of music. That is, as the above-mentioned one type of music, when the image received by the subject is a general music, the adjectives for that general music are "35 types", and as the above-mentioned other type of music, when the image received by the subject is a special music (music with an obviously different image from others), the adjectives for that special music are "10 types".

[0038] That is, in the present invention, the feelings of the subjects received from each problem music are presented as a plurality of music-related questions predetermined in words mainly composed of adjectives, and a plurality of predetermined selective music-related answers selected by the subjects for these music-related questions are presented to the subjects, and the characteristics of the subjects are analyzed from the selection tendency of how to select specific music-related answers from the plurality of selective music-related answers. There are 25 music-related questions for problem music 1 to 3 and 10 questions for problem music 4. These are summarized and 85 music-related answers are set as music selection tendency values. One target variable is predicted from these 85 music selection tendency values. The psychological tendency of the person is explored from the way the subject feels about the problem music. For each adjective, the subjects are asked to choose from four levels of responses: "strongly agree", "somewhat agree", "slightly agree", and "strongly disagree". That is, these four levels of responses are the above-mentioned selective music-related questions. In the present invention, specific music-related responses (selection results) selected by the subjects are each quantified. For example, it is defined that "strongly agree" = 4 points, "somewhat agree" = 3 points, "slightly agree" = 2 points, and "strongly disagree" = 1 point. Then, in the present invention, one objective variable is obtained from a total of 85 useful music selection tendency values. It is important to obtain music selection tendency values that reflect the psychological state of the subject (the way the subject feels about music).

[0039] 〔Personality diagnosis method by personality diagnosis device〕 The computer device 1 first conducts essay-form questions for the subject 101 to be diagnosed. The computer device 1 presents "(A) essay-form questions" (for example, 36 questions) to the subject 101 to be diagnosed, requests the subject to input selective essay-related responses to these essay-form questions into the information terminal 3, and obtains the data (essay question determination values) of specific essay-related responses selected by the subject via the Internet line 2. More specific details will be described in the following "Printed matter for personality diagnosis".

[0040] The computer device 1 adds the set of the evaluation values (essay question determination values) obtained from the selections in the acquired essays and the evaluation values (music selection tendency values) based on music and adjectives to the past data to create the latest self-growing database.

[0041] Next, the computer device 1 provides (plays) a plurality of task music pieces and allows the subject to listen to them. Further, the computer device 1 asks the subject 101 to be diagnosed who is listening to the plurality of task music pieces or the subject 101 to be diagnosed after listening to them to answer 10 to 35 predetermined “(B) Music-related questions (questions about the interpretation of the music)”. Then, the computer device 1 asks the subject 101 to be diagnosed to input a specific music-related answer selected from the selective music-related answers into the information terminal 3, and obtains the data (music selection tendency value) related to the specific music-related answer via the Internet line 2. More specific details will be described in the following “Printed matter for personality diagnosis”.

[0042] Next, the computer device 1 performs a multiple regression analysis of the text problem certainty value and the music selection tendency value based on the latest self-growing database, and obtains a predicted value for the subject to be diagnosed. Based on this predicted value, the true personality and psychological state of the subject to be diagnosed are diagnosed.

[0043] Figure 2A is a front view showing the diagnosis result (1) by the personality diagnosis method of the present invention. Figure 2B is a front view showing the diagnosis result (2) by the personality diagnosis method of the present invention. As shown in FIGS. 2A and 2B, the personality diagnosis performs a comprehensive personal evaluation based on four patterns: “tendency of interest (introverted type · extroverted type)”, “tendency of behavior (flexible type · norm-emphasizing type)”, “tendency when facing tasks (data-priority type · sense-priority type)”, and “tendency when making decisions (logic-priority type · emotion-priority type)”.

[0044] The diagnosed personality (diagnosis result) may be displayed to the subject 101 to be diagnosed by the information terminal 3 via the Internet line 2, or provided to a designated third party.

[0045] 〔Printed matter for personality diagnosis (leaflet) of the present invention〕 Figure 3A is a front view showing the first side of the printed matter for personality diagnosis of the present invention for carrying out the personality diagnosis method of the present invention. FIG. 3B is a front view showing the second and third sides of the printed matter for personality diagnosis. FIG. 3C is a front view showing the fourth and fifth sides of the printed matter for personality diagnosis.

[0046] As shown in FIGS. 3A, 3B, and 3C, on the printed matter (flyer) 51 for personality diagnosis, there is written the address of a site that provides the plurality of task music pieces and acquires a plurality of selective text-related answers and music-related answers selected by the subject. The address of this site may be provided by a QR code 52.

[0047] Using the address or QR code 52 written on this printed matter (flyer) 51 for personality diagnosis, the subject 101 to be diagnosed accesses a specific site via the Internet line 2 using the information terminal 3, and the plurality of task music pieces are provided. The plurality of text-form questions are written on this printed matter (flyer) 51 for personality diagnosis or provided from the specific site. The selective text-related answers are also written on this printed matter (flyer) 51 for personality diagnosis or provided from the specific site. Also, the plurality of music-related questions are written on this printed matter (flyer) 51 for personality diagnosis or provided from the specific site. The selective music-related answers are also written on this printed matter (flyer) 51 for personality diagnosis or provided from the specific site. This printed matter (flyer) 51 for personality diagnosis allows the subject 101 to be diagnosed to check or write the text-related answers and music-related answers selected from the above selective text-related answers and selective music-related answers, and send them by facsimile, or by mail, or input them into the information terminal 3 to the administrator of the computer device 1. When all of the specific text-related answers and all of the specific music-related answers are input into the computer device 1, the computer device 1 operates as a personality diagnosis device.

[0048] That is, in the above-mentioned personality diagnosis printout (leaflet) 51, as shown in FIG. 3B, the “(A) text-form questions” 53 for the subject 101 to be diagnosed are described as above, and the selective text-related answers (“Yes” and “No”) to these text-form questions are described. In this embodiment, the “(A) text-form questions” 53 are 36 questions from Q1 to Q36, but the number is not limited to this. These “(A) text-form questions” 53 are based on Jung's 16 classifications.

[0049] In this embodiment, the “(A) text-form questions” 53 and the selective text-related answers to these text-form questions are described in the personality diagnosis printout (leaflet) 51, but may be displayed on the information terminal 3 via the Internet line 2 as described above without being described here.

[0050] The selective text-related answers to the “(A) text-form questions” 53 may be input into the information terminal 3 and sent to the computer device 1 through the Internet line 2 via the website, or may be described in the personality diagnosis printout (leaflet) 51 and delivered to the administrator of the computer device 1 by facsimile, mail, or direct submission.

[0051] Further, in the above-mentioned personality diagnosis printout (leaflet) 51, as shown in FIGS. 3B and 3C, for each of the task music pieces 1 to 4, the “(B) music-related questions (questions about the interpretation of the music)” 54 for the subject 101 to be diagnosed are described, and the selective music-related answers (“Not applicable (completely different)”, “Slightly think so”, “Well, think so”, and “Think so very much”) to these music-related questions are described. In this embodiment, the above-mentioned task music pieces are 4 pieces from 1 to 4, but the present invention is not limited to such a number and can be changed in various forms. Also, in this embodiment, the “(B) music-related questions (questions about the interpretation of the music)” 54 are 25 questions from Q1 to Q25 for task music pieces 1 to 3 and 10 questions from Q1 to Q10 for task music piece 4, for a total of 85 questions, but this number is not limited and can be changed in various forms. "(B) Music-related questions (questions about the interpretation of music)" 54 are predetermined in terms of the adjectives that describe the feelings of the subjects who listen to each target music. This "(B) Music-related questions (questions about the interpretation of music)" 54 shows the adjective images selected according to the present invention, such as "elegant feeling", "delicate feeling" or "nostalgic". For each target music, the subject 101 to be diagnosed selects from the selective music-related answers whether these adjective images "do not apply (completely different), a little think so, well think so, or very think so".

[0052] In this embodiment, "(B) Music-related questions (questions about the interpretation of music)" 54 and the selective music-related answers to the music-related questions are described in the personality diagnosis printed matter (leaflet) 51. However, they may be displayed on the information terminal 3 via the Internet line 2 without being described here.

[0053] The music-related answers to "(B) Music-related questions (questions about the interpretation of music)" 54 may be input to the information terminal 3 and sent to the computer device 1 through the Internet line 2 via a website, or may be described in the personality diagnosis printed matter (leaflet) 51 and delivered to the administrator of the computer device 1 by facsimile, mail, or direct submission.

[0054] When the computer device 1 acquires the specific text-related answers (all of the text question determination values) selected by the subject 101 to be diagnosed and the specific music-related answers (all of the music selection tendency values) selected by the subject 101 to be diagnosed, it adds the set of the acquired text question determination values and music selection tendency values as teacher data to the past data, creates a latest self-growing database, performs multiple regression analysis of the music selection tendency values based on the latest self-growing database, obtains a predicted value for the subject 101 to be diagnosed, and diagnoses the true personality and psychological state of the subject 101 to be diagnosed based on this predicted value.

[0055] As shown in FIGS. 2A and 2B, the personality diagnosis conducts a comprehensive personal evaluation based on four patterns: "tendency of interest (introverted / extroverted)", "tendency of behavior (flexible / norm - oriented)", "tendency when facing problems (data - priority / sensation - priority)", and "tendency when making decisions (logic - priority / emotion - priority)".

[0056] In addition, the diagnosed personality (diagnosis result) may be displayed on the information terminal 3 via the Internet line 2, or as a printed matter, it may be delivered to the subject 101 to be diagnosed or a designated third party by facsimile, mail, or direct delivery.

Explanation of Reference Numerals

[0057] 1 Computer device 2 Internet line 3 Information terminal 11 CPU 12 Memory 13 Output interface 14 Input interface 31 Input interface 32 Output interface 51 Printed matter for personality diagnosis (leaflet) 52 QR code 53 "(A) Article - form questions" 54 "(B) Music - related questions (questions about music interpretation)" 101 Subject to be diagnosed

Claims

1. A plurality of essay-form questions regarding personality and psychological states, and a plurality of selective essay-related answers that are answered by a past subject by selecting them for these plurality of essay-form questions are each provided to the past subject, and a specific essay-related answer selected by the past subject from the plurality of selective essay-related answers is acquired in advance by a computer device as an essay question determination value, and a plurality of task music pieces are played for the past subject to listen to, and a plurality of music-related questions defined in advance in words mainly composed of adjectives about the feelings of the past subject received from these task music pieces, and a plurality of predefined selective music-related answers selected by the past subject for these music-related questions are each provided to the past subject who is listening to the plurality of task music pieces or the past subject after listening to the plurality of task music pieces, and a specific music-related answer selected by the past subject from the plurality of selective music-related answers is acquired in advance by a computer device as a music selection tendency value, the essay question determination value and the music selection tendency value are accumulated by a computer device as teacher data, thereby creating a latest self-growing database in advance, the essay-form question identical to the above-mentioned essay-form question, the plurality of selective essay-related answers identical to the above-mentioned plurality of selective essay-related answers, the task music piece identical to the above-mentioned task music piece, and the selective music-related answers identical to the above-mentioned plurality of selective music-related answers are each provided to the subject to be diagnosed, then, a computer device acquires an essay question determination value from a specific one of the selective essay-related answers obtained from the subject to be diagnosed, and a computer device acquires a music selection tendency value from a specific one of the selective music-related answers obtained from the subject to be diagnosed, Based on the latest self-growing database, a computer device diagnoses the personality of the subject to be diagnosed based on a predicted value calculated using a calculation formula obtained by multiple regression analysis for the essay question determination value and the music selection tendency value. A personality diagnosis method characterized by this.

2. The computer device according to claim 1 presents the text-form questions according to claim 1, obtains the specific text-related answers, plays the plurality of problem music pieces according to claim 1, presents the music-related questions according to claim 1, and obtains the specific music-related answers, and executes the personality diagnosis method according to claim 1 A personality diagnosis device characterized by the above.

3. Provide the text-form questions, the plurality of problem music pieces, and the selective music-related questions to the information terminal of the subject via the Internet line, Ask the subject to input the specific text-related answers and the specific music-related answers into the information terminal, Obtain the specific text-related answers and the specific music-related answers via the Internet line. The personality diagnosis device according to claim 2, characterized by the above.

4. The address of the site where the plurality of problem music pieces according to claim 1 are provided or the QR code (registered trademark) indicating the address, which are accessed by the subject according to claim 1 via the Internet line using the subject's information terminal, The text-form questions according to claim 1, The music-related questions according to claim 1, The specific text-related answers according to claim 1 and the specific music-related answers according to claim 1, which are selection results, are presented to the administrator of the computer device according to claim 1. By inputting the selection results into the computer device by the administrator, the personality diagnosis method according to claim 1 is executed, the plurality of selective text-related answers according to claim 1, and the plurality of selective music-related answers according to claim 1, A printed matter for personality diagnosis, characterized in that each of them is described.

5. The address of the site where the plurality of problem music pieces according to claim 1, the text-form questions according to claim 1, and the music-related questions according to claim 1 are provided, or a QR code indicating the address, which are accessed by the subject according to claim 1 via an Internet line using the subject's information terminal, and The specific text-related answers according to claim 1 and the specific music-related answers according to claim 1, which are selection results, are presented to the administrator of the computer device according to claim 1. By inputting the selection results into the computer device by the administrator, the personality diagnosis method according to claim 1 is executed, the plurality of selective text-related answers according to claim 1, and the plurality of selective music-related answers according to claim 1, and A printed matter for personality diagnosis, characterized in that each of them is described.

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