WO2001013292A1

WO2001013292A1 - Individuality diagnosis information providing system, individuality diagnosis information providing method, computer program and recording medium storing it

Info

Publication number: WO2001013292A1
Application number: PCT/JP2000/005280
Authority: WO
Inventors: Masato Hattori; Kengo Hirota; Atsushi Higuchi; Nagayoshi Tokai
Original assignee: Masato Hattori; Kengo Hirota; Atsushi Higuchi; Nagayoshi Tokai
Priority date: 1999-08-13
Filing date: 2000-08-07
Publication date: 2001-02-22
Also published as: AU6320000A; JP2001052048A; KR20010000204A; TW487874B; KR100330333B1

Abstract

An individuality type is classified based on a hierarchy format containing a preset number of basic individuality types and sub-individuality types obtained by subdividing the basic individuality types, and basic individuality diagnosis information and sub-individuality diagnosis information respectively corresponding to these basic individuality types and sub-individuality types are output. Basic individuality diagnosis information corresponds to a so-called broad classification for the individuality (or character) of a person to be diagnosed and are useful in roughly identifying its outline. When basic individuality types are limited to predefined classes, common features of persons similar in individuality can be easily identified by referring to an individuality type class. Since a basic individuality image keyword is assigned to a basic individuality type for an impressive effect, a general image of an individuality can be highlighted intuitively and effectively. The above arrangement makes it easy to systematically analyze and identify the output details of an individuality diagnosis result and can intuitively and effectively highlight a general image of an individuality.

Description

Description Personality diagnostic information providing system, personality diagnostic information providing method, computer program and recording medium storing it

The present invention relates to an information providing system, in particular, a system and method for performing individual diagnosis or personality diagnosis of a person to be diagnosed, and providing the diagnosis result as information, a program for realizing the functions of the system on a computer, and And a recording medium on which the program is recorded. Background art

Conventionally, mainly in the field of computer games, various devices have been proposed that determine the character and compatibility of a person to be judged (diagnosed) in accordance with an input date of birth or a response to a question. . Most of the judgment results are output as comments on a display or printed out.However, there has also been proposed a device in which this is fed back to the control unit of the game device so that the game character performs an operation reflecting the determined character. is there. There are also proposals to use a personal database stored in a data terminal device for organizing business cards to perform compatibility diagnosis and fortune-telling.

In the past, personality judgment devices such as those described above have been used exclusively for playing the same kind of games as games, and their application to grasping the human mind in an organization such as a company and analyzing personality in business strategies is not possible. Les, which is hardly considered. The main reason for this is that, for example, in the case of comment output, one that matches the judgment content is selected from a large number of comment data stored in the storage unit, and this is printed or displayed in a form joined together without context Most of these are probably due to the output being not systematic. For this reason, it is difficult to understand the contents, and even if they do, the individuality (character) of the person being diagnosed After all, it was difficult to grasp the whole picture.

In addition, when considering the application of personality analysis to business and organizational management, for example, gathering people with similar personalities, or conversely mixing people with opposing personalities into groups as appropriate, Is strongly required to analyze the personality of business partners and respond promptly. However, if the output content is not systematized as in the above-mentioned conventional personality judgment device, almost no information can be obtained because of the relevance to the analysis results of others, so erroneous judgments Failure to reach the result is also unavoidable. Furthermore, the analysis of output contents requires considerable labor and time, and it is almost impossible to cope with the ever-changing business and other situations.

An object of the present invention is to output a personalized diagnosis result in a systematic form, and furthermore, to systematically analyze and grasp the output contents, and to intuitively and effectively provide an overview of individuality. An object of the present invention is to provide a personal diagnostic information providing system and method capable of impressing, a computer program for realizing the functions of the system on a computer, and a recording medium recording the computer program. Disclosure of the invention

The individuality diagnosis information providing system (individuality diagnosis information providing method) of the present invention which solves the above-mentioned problems,

Diagnostic reference information setting means (diagnosis reference information setting step) for setting diagnostic reference information that is necessary for identifying the individuality diagnosis contents and includes the date of birth and is unique to each person to be diagnosed; Are classified into a plurality of individual types by a hierarchical format including a predetermined number of basic individual types and sub-individual types that further subdivide the basic individual types, and the basic individual type and Individuality type determination means (individuality type determination step) for determining individuality types based on information on the date of birth,

Basic personality image key selection means for selecting from among a plurality of basic personality image keys that impress individual basic personality types that correspond to the determined basic personality type (Basic personality image keyword selection step)

Personality diagnostic information creating means (personality diagnostic information creating step) for creating basic individuality diagnostic information corresponding to the determined basic individuality type and sub-individuality diagnostic information corresponding to the similarly determined sub- individuality type;

A personality diagnosis information output means (personality diagnosis information output step) for outputting the created basic personality diagnosis information and sub-personality diagnosis information in a form associated with the selected basic personality image key;

It is characterized by having.

According to the personality diagnosis information providing system (method) of the present invention, the gist is that the operation of setting the diagnosis reference information including the date of birth of the person to be diagnosed (for example, the input operation using input means such as a keyboard and a mouse, A predetermined number of basic individual types and sub-individual types for further subdividing the basic individual types by a selection operation in a database of diagnostic reference information (diagnosis reference information storage means) formed in the storage device in advance. However, both are determined based on the date of birth information, and the basic individuality diagnosis information and the sub-individuality diagnosis information are output corresponding to the basic individuality type and the sub-individuality type, respectively. The basic personality diagnostic information corresponds to the so-called large classification of the personality (or personality) of the person to be diagnosed, and is useful for roughly understanding the whole picture. On the other hand, if information on the subtle differences in personality of persons belonging to the same type is required, the basic personality diagnosis information can be supplemented and understood by referring to the sub personality diagnosis information. In other words, the combined use of the basic individuality type and the sub-individuality type enables a more systematic output of the individuality diagnosis results, which makes it extremely easy to systematically analyze and grasp the output contents of the individuality diagnosis. it can. In addition, since the basic individuality type and sub-individuality type are both determined based on the date of birth, diagnosis reference information to be input for individuality diagnosis can be simplified, and systematic and detailed individuality diagnosis can be performed by simple operations. Can be performed quickly.

Furthermore, a basic personality image keyword is added to the basic personality type to impress this, so it is possible to intuitively and effectively impress the overall image of personality W

Four

Becomes The type of the basic personality image keyword is not particularly limited, and may be a name such as a flower or a famous person, but it is particularly effective to use an animal name. Animal names have long been used as metaphors for personality, such as "Radio raccoon father" and "cat-like woman". By using this as the basic personality image keyword, the individual's personality can be understood by familiar animals. The image gives a very powerful impression. In conducting various personal events, such as business talks, negotiations, or arguing with the opposite sex, it is impossible to hope for a development that is advantageous to oneself in situations where the personality and character of the opponent is unclear. If the basic personality type is impressed by associating it with the animal name, the personality of the opponent will not be lost in any situation, and the prospect of the progress of the interpersonal event will be easy to establish. In addition, fictitious animal names such as “Pegasus” and “Dragon” can be adopted as animal names.

Next, the basic individuality type and the sub-individuality type can be specifically determined as follows. That is, the calendar information is arranged according to the calendar, and a classification information search table in which the classification information is arranged in a one-to-one correspondence with the calendar information is stored in the database. Then, calendar information matching the date of birth included in the set diagnosis reference information is searched in the classification information search table, and the corresponding classification information is read. On the other hand, the two basic individual types are subdivided into four, five or six sub-individual types, and the classification information is 60 types in which the combination types of these basic individual types and sub-individual types are different from each other. Should be included. Then, one is extracted from the 60 types of classification information, and the basic individuality type and the sub-individuality type are determined by the combination indicated by the classification information. By using the classification information retrieval table subdivided by the basic personality type and the sub personality type, a hierarchical and complicated personality type can be easily determined.

Specifically, the personality diagnosis information creating means has basic personality diagnosis comment data storage means for storing basic personality diagnosis comments corresponding to each basic personality type, and the personality diagnosis information creating means is a personality type determination means. The basic personality diagnosis information corresponding to the basic personality type determined by the above may be used to create basic personality diagnosis information. However, in this specification, the concept of “creating” includes a diagnosis comment read out from a storage means, In particular, a mode that is used as it is without processing is also included.

Also, image character image data storage means for storing image character image data corresponding to the basic personality type, and image character image data corresponding to the basic personality diagnosis information are read out, and the image character image based on the image character image is stored in the basic character image data. An image character image output means for outputting the image character image in association with the personality diagnosis information can be provided. By outputting an image character (for example, animal character) corresponding to the basic personality image keyword, the basic personality type can be visually impressed, further enhancing the effect.

On the other hand, the sub-individuality diagnosis information can include a sub-individuality image keyword defined one-to-one corresponding to each sub-individual type. By adding character information characterizing sub-individuality, which is additional character information that individually impresses the sub-individual type, not only does the correspondence between the sub-individual type and the basic personality type become clearer, The effect of impressing the content of the sub-individuality type is greatly enhanced by the presence of the sub-individual characterizing character information. For example, if the basic personality image keyword is “lion”, the character information that characterizes the sub-individuality, such as “going my way”, “commanded”, “emotional”, “vulnerable” For example, the sub-character image keywords are “Lion Going My Way”, “Lion Leadership”, “Emotional Lion”, and “Vulnerable Lion”, respectively. By including the same “lion” as the basic individuality image keyword, it is obvious that the sub-individuality group characterized by these sub-individuality image keywords can be grasped by the same basic individuality type. Furthermore, due to the difference in the content of the sub-individual characterizing character information, it is possible to intuitively grasp the subtle differences while belonging to the same basic individuality type, and to effectively impress this. . In addition, a sub-individual diagnosis comment storage unit that stores a sub-individual diagnosis comment corresponding to each sub-individual type on a one-to-one basis is provided, and the individual diagnosis information creation unit corresponds to the sub-individual type determined by the individual type determination unit. The sub-individual diagnosis information can be generated using the sub-individual diagnosis comment. By referring to the sub-individual diagnostic comment, the personality of the subject Can be grasped more deeply and systematically.

The personal diagnostic information is output in any of a mode of visually displaying and outputting on a screen of a display device such as a monitor or a display, a mode of printing and outputting to a printing means such as a printer, and a mode of outputting by voice from a speaker. Or an output form combining some of them.

In addition, the personality diagnosis information providing system of the present invention prepares a plurality of personality diagnosis information for each genre set according to the type of information, the use condition of information, the purpose of use of information, and the like. Personality diagnosis information storage means for storing in a form associated with the above, a genre selection means for selecting a genre of required personality diagnosis information,

Personal diagnosis information output means for reading personal diagnosis information corresponding to the selected genre from the personal diagnosis information storage means and outputting personal diagnosis information for each genre;

Can be configured.

According to the above configuration, in an interpersonal event, depending on the progress of the event, there are various scenes where personality analysis of the other party is required, and different personality analysis information (personality diagnosis information) is urgently required for each scene. Sometimes. With the above configuration, it is possible to accurately and quickly select and output individuality diagnosis information of the optimal genre for each scene, and to extract only necessary information in a timely manner according to the situation. In addition, a special effect can be achieved.

The functions of the personal diagnosis information providing system of the present invention can be realized on a computer by a computer program that describes a routine for causing the computer to execute the steps of the personal diagnosis information providing method of the present invention. . Further, such a computer program can be recorded on a recording medium in a computer-readable form. By installing the program recorded on such a recording medium into a computer, the function of the personality diagnosis information providing system of the present invention can be easily provided. The recording medium is, for example, a CD-ROM, a floppy disk, a magneto-optical disk, an IC card, or the like. BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 is a block diagram showing an example of an electrical configuration of the personality diagnosis information providing system of the present invention. FIG. 2 is a block diagram showing an example of an electrical configuration of the terminal device.

FIG. 3 is an explanatory diagram showing a memory configuration in a RAM of a host device.

FIG. 4 is an explanatory diagram showing the contents of a classification information search table.

FIG. 5 is an explanatory diagram showing an example of the detailed data configuration.

FIG. 6 is an explanatory diagram showing the contents of a diagnosis reference information storage unit.

FIG. 7 is a flowchart showing the flow of data input / registration processing.

FIG. 8 is an explanatory diagram showing an example of a data entry list display screen.

Figure 9 is an explanatory diagram showing some tables used to determine the derived type.

FIG. 10 is an explanatory diagram showing several classification information tables used for determining different personality factors.

FIG. 11 is an explanatory view showing several determination tables for different personality factors.

FIG. 12 is a flowchart showing the flow of a diagnosis process.

FIG. 13 is an explanatory diagram showing an example of a table for determining basic individuality image keywords and sub-individuality image keywords.

FIG. 14 is an explanatory diagram illustrating an example of image data of an image character.

FIG. 15 is a flowchart showing the flow of a diagnostic result list output process.

FIG. 16 is an explanatory diagram showing an example of the display screen.

FIG. 17 is a flowchart showing the flow of the individuality of the diagnosis result / comment output process.

FIG. 18 is an explanatory diagram showing an example of the display screen.

FIG. 19 is a flowchart showing the flow of the comment output processing of the diagnostic results. FIG. 20 is an explanatory view showing an example of the display screen.

FIG. 21 is a flowchart showing the flow of a comment output process for each genre of a diagnosis result. FIG. 22 is an explanatory diagram showing an example of a genre comment database. FIG. 23 is an explanatory view showing another example.

FIG. 24 is an explanatory diagram showing examples of genres and comments.

FIG. 25 is an explanatory diagram showing an example of a genre selection screen and a comment output screen.

FIG. 26 is an explanatory diagram showing an example of a table used for generating rhythm information.

FIG. 27 is a flowchart showing the flow of a rhythm display process of a diagnosis result.

FIG. 28 is an explanatory diagram showing an example of a rhythm information display screen.

FIG. 29 is an explanatory diagram showing an example of the graph and the comment output screen.

FIG. 30 is an explanatory view showing an example of a comment database for compatibility diagnosis.

FIG. 31 is a flowchart showing the flow of a diagnostic result compatibility diagnosis process.

FIG. 32 is an explanatory diagram showing an example of the result output screen.

FIG. 33 is an explanatory view showing an example of displaying a moving image of an image character.

FIG. 34 is an explanatory diagram showing an example in which individuality diagnosis comments are output as voice. BEST MODE FOR CARRYING OUT THE INVENTION

Hereinafter, embodiments of the present invention will be described with reference to examples shown in the drawings.

FIG. 1 is a block diagram showing a configuration of an individuality diagnosis information providing system (hereinafter, also simply referred to as a system) 1. The system 1 includes a communication network 720 such as the Internet, a host device 700 connected thereto via a modem 700 as a transmission / reception means, and a modem 752 as a transmission / reception means (FIG. 2). ) Are connected to each other.

The host device 700 is configured as a computer, and has an I0 port 11, which includes a CPU 12, a ROM 13, a RAM I 4, a fixed storage device 22 including a hard disk drive, and the like. CD—ROM drive 4, printer 6, calendar clock (generates date information) 7, etc. are connected (monitor, keyboard, mouse, printer, etc. may be connected). The fixed storage device 22 has an application program (hereinafter simply referred to as “program”) for implementing the functions of the personality diagnosis information providing system 1 on a computer. 22b, an operating system program (OS) 22a that forms its operating environment on a computer, and a database 22c used for various processes for individuality diagnosis. ing. The programs 22a and 22b and the database 22c are supplied in the form of being recorded on, for example, a CD-ROM as a recording medium, and are set in the CD-ROM drive 4, and the CPU 12 executes a predetermined installation program. (Not shown) is installed in the fixed storage device 22. The ROM 13 stores various basic programs for controlling hardware of the computer. Further, the RAMI 4 has a work area for each program stored in the fixed storage device 22 and the ROM 13.

As shown in FIG. 2, each terminal 703 is configured as a computer including an IZO port 751 and a CPU 754, a ROM 755, and a RAM 756 connected to the IZO port 751. 3 (may be another pointing device), a printer 6 as an output means and a monitor control unit 20 are connected to the I @ port 751. Further, a monitor 21 as an output means is connected to the monitor control unit 20. The terminal 703 may be configured as a desktop computer, for example, but may be a laptop computer, a laptop computer, or a palmtop computer (PDA) using a battery or the like for a power supply unit. Further, the communication network 702 may include a wireless communication network, and the terminal 703 is a mobile terminal connected to the host device 700 (server) via the wireless communication network (for example, a function is also incorporated as an information terminal). (Mobile information terminals such as mobile phones).

Then, information (data) necessary for each process by the user is input from the terminal 703 connected via the communication network 702. The communication processing on the terminal 703 side is executed by a predetermined communication program using the communication program work area 756a of the RAM 756 shown in FIG. Then, information input from the keyboard 2 or the mouse 3 on the terminal 703 side (that is, each information of S1 to S6 in FIG. 7 (described later)) is transmitted to the communication network 70. 2, and sent to the host device 700, where the application program 22 executes the program shown in FIG. 7, FIG. 12, FIG. 15, FIG. 17, FIG. 17, FIG. 19, FIG. 21, FIG. 27, and FIG. Various diagnosis and output processes (described later) are executed. Then, the processing results (for example, S72 to S74 in FIG. 15, S86 to S88 in FIG. 17, S102 to S103 in FIG. 19, and S102 in FIG. 21) 1 13, S 115, S 117, S 125 of FIG. 27, S 127, S 138 of FIG. 31, SI 40, etc. Then, the data is transmitted to the accessed terminal 703 via 02, and the printer 6 or the monitor 21 of the terminal 703 is output there. Specifically, the monitor 21 of the terminal 703 is operated and displayed by a graphic user interface (GUI). For example, FIG. 16, FIG. 18, FIG. 20, FIG. 28, Fig. 29, Fig. 32, Fig. 33, etc.) The terminal side operation 'display program' is sent from the host device 700 to the terminal device 73, and the work area 756 The program is executed at. The results of the diagnosis and output processing such as comments from the host device 700 are stored in the RAM 756. It is convenient to provide the terminal 703 with a hard disk drive 735 for downloading the result of the above processing.

The application 22b plays a role of causing the system unit including the host device 700, the communication network 720, and the terminal device 703 to function as the following means described in the claims on the OS 22a. Fulfill.

• CPU 12: Diagnosis reference information setting means, personality type determination means, basic personality image key selection method, personality diagnosis information creation means, basic personality diagnosis information creation means, sub personality diagnosis information creation means, diagnosis target search means , Comment search means.

'Keyboard 2, mouse 3: diagnostic reference information setting means, genre selection means.

• Fixed storage device 22: Basic personality diagnosis comment data storage means, image character image data storage means, sub personality diagnosis comment storage means, and diagnosis reference information storage means.

'Monitor 21: Image character image output means, individuality diagnostic information output means.

'Printer 6: Individuality diagnostic information output means, image character image output means.

FIG. 3 shows an example of allocation of various memories in the RAM I4. Here, A program work area 14a, a diagnosis reference information memory 14c for a person to be diagnosed, a compatibility reference information memory 14d for a compatibility diagnosis partner, a diagnosis result memory 14e, and the like are formed. Details in each memory will be described in the following description of functions.

Hereinafter, the operation of the system 1 in FIG. 1 will be described by function. First, the application program 22 b is started on the host device 700 side, and connected to the terminal device 703 via the communication network 720, and the main screen 220 shown in FIG. 8 is displayed. Displayed on monitor 21 (Fig. 2). Data entry Z-list display screen 230, personality analysis list display screen 250 (Fig. 16), first detailed comment display screen 280 (Fig. 18), second screen The detailed comment display screen 290 (Fig. 20), the rhythm information display screen 310 (Fig. 28), and the compatibility diagnosis screen 360 (Fig. 32) are superimposed and displayed in a layer format. In this embodiment, each screen is integrated with a selection tag portion 22 1 a that functions as a soft button. In this embodiment, the selection tag portion is integrated with the upper edge portion of the screen so as to be shifted from each other. The screen selection tool area 2 2 1 is formed. Then, the position of the mouse pointer MP displayed on the main screen 220 by operating the mouse 3 is aligned with the selection tag section 2 2 a of the desired screen, and the click button (not shown) of the mouse 3 is clicked. , The display switches to the selected screen.

The flow of the data input / registration process is shown in the flowchart of FIG. In S1, the data input Z-list display screen 230 is selected (or the screen 230 may be displayed by default at startup), and in S2, the diagnostic subject identification information, Specifically, a kanji name character string representing the name of the person to be diagnosed and a kana reading character string representing the reading are input using the keyboard 2. If a known kanji conversion program is used, a kanji name character string and a kana reading character string can be input simultaneously by inputting and converting kana character strings.

Returning to FIG. 7, in S3 to S6, diagnosis reference information necessary for specifying the content of the individual diagnosis is input. In this embodiment, as the diagnosis reference information, the birth date, birth time, gender, and optional data of user data up to a predetermined number of characters of the diagnosis subject are input. The registration is confirmed by a predetermined key operation (S8). As a result, as shown in Fig. 6, reading 41, name 42, date of birth 43, (birth) time 44, gender 45, diagnostic result information 39 (described later), and optional data 47 S is stored and registered in the diagnostic reference information storage unit 40 in the database 22c in a form associated with each other. As shown in Fig. 8, a comment on the diagnosis subject can be registered in association with the above-mentioned diagnosis reference information, and the comment of the diagnosis subject selected by the selection cursor P is added to the comment. It is displayed in the display window 2 3 3.

The optional data may be any type of data. For example, data that can classify the diagnosis target, such as relationships, relationships, workplaces, and affiliations (eg, friends, companies, development, sales, etc.) , General affairs, etc.), this can be used effectively in the search process described later. In this case, the option data may be input by inputting characters from the keyboard.However, a predetermined number of classifications are fixedly determined in advance, and the corresponding one of the determined classifications is designated by the keyboard software. It is also possible to make an input by selecting as appropriate with a button or the like.

Hereinafter, details of the individuality diagnosis processing will be described. FIG. 12 shows the flow of the diagnostic processing. If diagnostic reference information is input or selected, it is loaded into the memory 14c of FIG. 3 as described above, and the diagnostic reference information to be used is set. In this state, the diagnostic process is executed by clicking the diagnostic software key 2 39 in FIG. In FIG. 12, the diagnosis target list shown in FIG. 8 is displayed (S50), and the diagnosis reference information is set by selecting a diagnosis target in the list (S51). It is flowing.

If the diagnosis reference information is set, the process proceeds to S52, and the information of the date of birth, birth time, and gender are read. Then, the process proceeds to S53, where a process of determining an individuality type is performed. FIG. 4 conceptually shows a classification information retrieval table (individuality type determination table) 30 used for determining the individuality type. Note that this classification information search table 30 is stored in the database 22c, like all data used for individuality diagnosis described below. Here, calendar information 31 that is data of year, month, and day is arranged according to the calendar. Classification information (SC) 32 is stored in one-to-one correspondence. Then, calendar information that matches the date of birth included in the set diagnosis reference information is searched, and the corresponding classification information SC is read. In this embodiment, the calendar information is expressed in the Christian era, but the date of birth can also be input using the era. In this case, the date of birth using the era is converted to the Christian era by the era conversion table 33, and then used for search in the classification information search table 30.

The classification information SC includes parameters for determining the individual type. In this embodiment, the classification information SC is classified into first-class data A (1), second-class data B (I), and third-class data C (I). It is represented by a combination of types of classification data. The second kind classification data B (I) is a parameter for specifying the basic individuality type, and in this embodiment, there are 12 kinds of B01 to B12. As shown in Fig. 13, the basic individual 1 "raw image key / KB $ is stored in the image key / code table 54 in a form corresponding to each of the second type classification data B (I). The personality image keywords B $ are all animal names. = Baby bear, B10 = zo, B 11 = sheep, B 12 = pegasus).

On the other hand, the first-class data A (I) is smaller in number than the second-class data B (I), and here A01 to A04 (respectively, the sun, the earth, the full moon, and the new moon as image keywords) Response). In addition, the third type classification data C (I) is 10 types from C01 to C10 here (each of which is a keyword for image tree, sun, mountain, vein, ocean, flower, light, earth, gem, rain Correspondence). Simply, the combination of A (1), B (1), and C (I) in the classification information SC can be up to 3 × 12 × 10 = 360 types, but here, a specific 60 Only the type is chosen. In other words, there are 60 types of classification information SC: SC:! ~ SC60. Then, as shown in FIG. 5, the classification information search table 30 stores the above 60 types of A (I), B (I), and C (I) that constitute the classification information SC for each date of the calendar information. It is supposed to give which of the combinations corresponds. It should be noted that the classification information search table 30 contains auxiliary power corresponding to each of the dates of the calendar information. Render information (here, lunar calendar month age data MA) is also stored (moon age data storage means). The moon age data MA is a numerical value selected from any one of 1 to 28, for example.

Looking at the classification information SC, focusing on the second type classification data B (I) that defines the basic personality type, there are only B (I) ¾ 12 types, so for the same data value of B (I) Therefore, there are a plurality of combinations having different values of C (I) (or A (I) and C (I)). Various forms of this combination are possible.For example, the ability to associate five different combinations of C (I) with one set of B (I) data. Correspondences differing in the number of combinations depending on the values are adopted. Specifically, B01, B03, B05, B07, B09, and Bll have C02, C03, C05, C07, C08, and CIO. Four types of C06 and C09 correspond respectively, and 6 X 6 + 6 X 4 = 60 types in total. Then, according to the value of C (I), each B (I) is further subdivided into 6 or 4 types, and a hierarchical individual typology is formed. That is, when looking at C (I) and B (I), it can be seen that the classification information SC forms a parameter for determining the sub-individual type.

As shown in Fig. 13, the sub-characteristic character, which is additional character information that impresses the sub-character type in a manner that corresponds to each classification information SC as the sub-character type determination parameter, one-to-one. Information C $ is stored in the characterizing character information table 55. Then, the sub personality characterizing character information C $ corresponding to each SC and the basic personality image key KB $ corresponding to the value of B (I) of each SC are read from the image keyword table 54, and are read out. By combining them, a sub-individuality image keyword W $ is created. In this embodiment, the sub-individual characterizing character information C $ employs a nominative modifier, and is used as a character string added before the basic personality image key, which is a noun (nominal). . That is, W $ = C $ + B $. For example, if B (I) of SC1 is B01, the corresponding B $ is "wolf", while C $ of SC1 is "near power", so W $ is A power wolf ". Alternatively, C $ + B $ may be combined from the beginning to form a sub-individuality image keyword W $, and the sub-individuality image keyword table 56 stored in association with each SC may be used.

Returning to FIG. 12, in S53, the calendar information corresponding to the date of birth of the set diagnostic reference information is searched in the classification information search table 30, the corresponding classification information SC is read, and the memory in FIG. Store it in the predetermined area of 14c. Then, B (I) of the classification information S C is extracted and stored in a predetermined area of the memory 14 c as an individuality ① parameter. As described above, the second type classification information B (I) included in the classification information SC is a parameter for specifying the basic personality type of the person to be diagnosed.In this embodiment, the basic personality type is defined as one personality type. A plurality of individuality factors that are grasped from different viewpoints as to the individuality of the same diagnostic subject are defined by including them as factors, and each individuality factor is classified into the same type of individuality type. Then, the CPU 12 functioning as the personality type determining means and the personality diagnosis information creating means determines the type of the personality type for each personality factor in accordance with the content of the input diagnosis reference information, and also sets a plurality of personality types. A personality type corresponding to a specific one of the factors is determined as a basic personality type, and personality diagnosis information corresponding to the personality type determined for each individuality factor is created. The individuality of the same person to be diagnosed is multifacetedly diagnosed using multiple individuality factors, and by outputting individuality diagnosis information for each individuality factor, it is possible to more accurately grasp the individuality of a complicated human being. become.

More specifically, in the present embodiment, the individuality 類 (eg, representing the “essence” of the person to be diagnosed), the individuality ② (eg, representing the “surface” of the person to be diagnosed), the individuality ③ A total of four individuality factors are defined, for example, representing the “will” of the person being diagnosed, and individuality ④ (eg, representing the hope of the person being diagnosed). For each of these individuality factors, the individuality type is classified according to the 12 types of second-class classification data B, which is the same as individuality ①, and each is associated with the image keyword of the same animal name as in Fig. 13. ing. That is, the same type of individuality key is assigned to each individuality type belonging to each individuality factor in a one-to-one correspondence, and the individuality diagnosis information is created using the individuality keycode. Becomes The Image Keyword alone, or roughly, reflects the content of individuality, and can be viewed as a type of individuality diagnostic information.

According to this, while grasping the personality of one person from multiple aspects, using the same image keyword, for example, animal name, for the classification makes it easy to grasp the type of each individuality factor and relate it. The whole picture of individuality can be grasped more easily. For example, if the individuality factors are defined as “essence (individuality ①)” and “wolf (B01)” and “surface (individuality ②)” as “sheep (B ll)”, for example, "On the surface, he seems to be attentive and has a mild personality (sheep personality), but his essence is individual and he likes to lead to completion on his own and has a strong will (wolfish) Personality) ”, it is possible to clearly show the versatility of human personality.

The parameters for specifying the individuality 個 to individuality される are determined in S55 to S57 in FIG. Details are as follows. First, the individuality ② (“surface”) is determined by a combination of the “month” information of the date of birth included in the diagnostic reference information and the third type classification information C (I) included in the classification information SC described above. Things. First, the above-mentioned second type classification information B is associated with each month of a calendar year, and this is stored in the form of a table 44 in FIG. B is a parameter with the same content as B (I), but is represented as B (M), distinguished from B (I) in the sense that it is a function of each month on the calendar. I have. As mentioned earlier, B (I) is determined for each calendar day, whereas B (M) is determined independently for each month.

Then, B (M) corresponding to the “month” of the date of birth is determined on the table 44, and by referring to the individuality type classification table 46 shown in FIG. 11, B (M) and C ( The individuality type information S corresponding to the combination with I) is determined. The individuality type information S is obtained by combining the separately classified type 2 classification information B (S) (12 types) and type 3 classification information C (S) (10 types). 0 patterns are defined (also not shown, but also include the first separation information A (S) as well as the SC). In this case as well, it is possible to classify B (S) as a basic individuality type and (B (S), C (S)) as a sub-individuality type, but in this embodiment, Only 12 classifications (B01 to B12: 12 kinds of animal names) are used as individuality ② parameters.

The personality ③ (“will”) is determined by a combination of the “year” information of the date of birth contained in the diagnostic reference information and the third type classification information C (I) contained in the classification information SC described above. Things. In this case, as shown in FIG. 10, the second type classification information B is associated with each year on the calendar, and this is stored in the form of a table 43. This B is represented as B (Y) in the sense that it is a function of each year in the calendar. B (Y) tt, B (I), B (M), B (S) are independent parameters. Then, the B (Y) corresponding to the “year” of the date of birth is determined on the table 44, and by referring to the individuality ③ type determination table 48 shown in FIG. 11, B (Y) and C (I) Determine the personality ③ type information W corresponding to the combination with. This personality ③ type information W can be classified into 120 types by combining separately classified second type classification information B (W) (12 types) and third type classification information C (W) (10 types). In this example, only 12 classifications of 8 (\) (B01 to B12: 12 kinds of animal names) are used as personality ③ parameters in this embodiment (not shown, but One separation information A (W) is also included). Finally, the personality ④ (“hope”) is determined by a combination of the information on the birth time included in the diagnosis reference information and the third type classification information C (I) included in the classification information SC described above. . The birth time is divided into one time cycle of 2 hours divided into 12 time ranges, and as shown in Fig. 10, the second type classification information B is associated with each time range, which is shown in Table 45. It is remembered. This B is represented as B (T) in the sense that it is a function of each time range. B (T) is a parameter independent of B (Y), B (W), B (I), B (M) and B (S). Then, B (T) corresponding to the birth time is determined on the table 45, and the combination of B (T) and C (I) is determined by referring to the personality type determination table 50 shown in FIG. The personality type information H to be determined is determined. This personality type information H can be divided into 120 types by combining separately classified second-class information B (H) (12 types) and third-class information C (H) (10 types). However, in this example, only the 12 classes of B (H) (B01 to B12: 12 kinds of animal names) are used as individuality ④ parameters (see Fig. Although not shown, the first separation information A (H) is also included).

Referring back to Fig. 12, after each type of individuality ① to individuality 定め has been determined, in S58 to S62, any of the individuality factors, here the type parameter of individuality 用い, is used as derived diagnostic information. Determining a plurality of derived types that will be derived. Specifically, the parameters of each derived type are determined using the second classification information (basic individuality type parameter) B (I) included in the classification information of individuality II. In S58, the characteristic 2 classification parameter K is determined. This is determined by selecting one of two values K1 and K2 of K according to the values of B01 to B12 by referring to the characteristic 2 classification determination table 41 as shown in FIG. Here, K 1 means “look-ahead type” individuality, and K2 means “past recollection type” individuality. Also, by referring to the left and right 2 classification parameter Q in S59, the thinking 2 classification parameter J in S60, and the left and right 2 classification determination table 42 and the thinking 2 classification determination table 40 shown in FIG. Determine similarly. Here, Q 1 means “right brain type” individuality, and Q2 means “left brain type” individuality. J 1 means “goal oriented” individuality, and J 2 means “situational response” individuality.

Next, in S61, a rhythm parameter is determined, and the rhythm will be described later. Then, in S62, a corresponding rail parameter R is determined according to a combination of the birth month B M and the age parameter MA in the diagnosis reference information using a rail parameter determination table (not shown). The “rail” determined by the rail parameter R is one of the derived types having a meaning in combination with the basic individuality type described above, and represents the directivity of the behavior or thinking pattern of the diagnosis target person. . In this embodiment, a plurality of (10 types) rails corresponding to the value of the rail parameter R in a one-to-one manner are defined, and a rail image keyword is assigned to each of the rails (“My pace”, “My way”, “Peace”, “Roman”, “Humanity”, “Reality”, “Winoredo”, “Elite”, “Unique”, “Logic”). Thus, the diagnosis processing ends.

The above diagnosis result is stored in the diagnosis result memory 14e of FIG. The memory 14 e is a list display memory that stores the output data of the results, a sort search memory, and a comment memory. It includes a memory, a rhythm memory, a graph memory, etc., and is used by appropriately selecting it according to the output form. On the other hand, as for the parameters of the individuality I to the individual life, the value of the determined second type classification information B is stored in the memory 14 e.

When the diagnosis is completed, the output processing is performed. In this embodiment, the obtained diagnosis results can be output in a list format and a detailed format for each item. FIG. 15 is a flowchart showing the flow of an output process by list display. First, in S70, the personality analysis list display screen is selected by clicking the mouse. Then, the screen 250 shown in FIG. 16 is displayed. At S71, the B values (B (I), B (S), B (W), B (H)) of the individuality ① to ④ are read, and the individuality image keyword corresponding to each B value is obtained. The image data of the corresponding image character (animal character) is read from the image keyword table 57 of FIG. 13 and from the image character database 57 of FIG. In S 72, on the screen 250, corresponding to the personalities ① to ④, the names of the individuality factors of “essence”, “surface”, “will” and “desired” were formed. Based on the read data, image keywords and image characters 110a to l10d are displayed in the image keyword display area 25 1 to 25 4 and the image character display area 25 5 to 25 8 I do. Further, as for the sub-individuality type, the above-mentioned sub-individuality image keyword determined according to the content of the classification information SC is displayed in the area 268 as 60 classification information.

In S73, the A values (A (I), A (S), A (W), and A (H)) of the individuality ① to ④ are read, and the image character (celestial character: earth, The image data of the sun, the full moon, and the new moon (a crescent-shaped character) are read from the image character database 59 in Fig. 14. Then, celestial image characters 1 15 a to 1 15 d are displayed in the image character display areas 255 to 26 2 based on the read data. Then, in S74, the determined values of the parameters K :, Q, J, Z, and R (where Z is a rhythm parameter) of the derived type are read out, and the corresponding keyword is assigned to the corresponding area 26 Display in 3 to 2 67. The area 222 is for displaying the name and date of birth of the person to be diagnosed. If you want to print the above results, you can print out the results on the printer 6 (Fig. 2) by clicking the print soft button 269 (S75, S76). The output data for list display is stored in the list display memory of the memory 14e in FIG.

On the other hand, various comments can be output for details of the diagnosis results. FIG. 17 is a flowchart showing the flow of comment output processing relating to personality ① (essentiality). In S80, the personality @ comment output screen is selected by clicking the mouse. Then, a screen 280 shown in FIG. 18 is displayed. Two types of comments are displayed: an image comment (basic individuality diagnosis comment) corresponding to the basic personality type and a detailed comment (sub personality diagnosis comment) corresponding to the subpersonality type. Among them, the image comment data is stored as an image comment database 58 in a form associated with the second type classification information B (I) as shown in FIG. On the other hand, the detailed comment is stored in the detailed comment database in a form associating it with the classification information S C (sub personality type determination parameter) as shown in FIG. Specifically, basic comments M for men and basic comments F for women are stored separately as basic comments.

In this embodiment, first, the value of B (I) as a basic type determination parameter in the classification information SC is read, and the corresponding basic comment M (for male) or basic comment F (for female: male) (The content differs from the application) according to gender (Fig. 17 _: S81 to S85). Then, the image character and image comment data corresponding to B (I) are read, and as shown in FIG. 18, the image characters 1 10 a and 10 a are displayed in the respective display windows 28 1 and 28 2. The image comments 1 1 1 a as the basic personality diagnosis comments are displayed in a form associated with each other (S 86, S 87). As can be seen from the comment text in the figure, the image comment 111a is created using the image key (basic image keyword: "Tanuki" (B08) here). On the other hand, the basic comment 1 12, which is a sub-character diagnosis comment, is formed on the same screen 280 in a form that associates it with the above-mentioned message character 1 10 a and image comment 1 1 1 a. Displayed in the window 283 (S88). These basic comments 1 and 2 are also created using the basic image keywords. When printing the above comment, the print output is executed by clicking the print soft button 2843 with the mouse (S89, S90). Note that comment data is stored in the comment memory of the memory 14 e in FIG. 3 at the time of comment output.

— On the other hand, FIG. 19 shows the flow of comment output for individuality ② to individuality ④. In this case as well, the image of the image character corresponding to the type 2 classification information B (B (S), B (W), B (H)) and the above-mentioned image comment (Fig. 14) are output in such a manner that they are associated with each other. I do. However, as shown in Fig. 11, separate comment data 47, 49, and 51 are prepared for each of the individuality (1) to (5), and comments can be output using these. In this embodiment, as shown in FIG. 20, only the personality ② (surface) and the personality ③ (will) are displayed on the B (S;) and B (W) by using the dedicated screen 290. The corresponding image comments 1 lib, 1 1 1 c are displayed in windows 291 to 294, respectively, in association with the image characters 1 10b and 1 10c. The print execution command is issued by clicking the soft button 295 with the mouse.

It is also possible to prepare detailed comments for each genre, select a desired genre as appropriate, and output a corresponding genre comment. FIG. 21 shows the flow of the process. In S110, for example, a comment output screen 300 for each genre as shown in FIG. 25 is displayed. On this screen 300, selectable comment genres are displayed, which can be selected by corresponding soft buttons 301. Then, in S111 of FIG. 21, a desired genre is selected using the soft buttons 301. Then, the genre (and classification information SC) selected from the comments A, B, and 〇 (see FIG. 22) stored in the detailed comment database 60 for each genre is used. The data corresponding to () may be read out and output on the screen 302 of FIG. 25 (S112 to S117). Figure 24 shows an example of genre settings and comment content. Here, the genre is set in consideration of the type of information required, the circumstances of use of information, the purpose of use of information, and the like, for each scene of various personal events. For example, in the genre 1 `` action check '', a comment is output to check whether or not one's own behavior is easy to accept, based on the personality of the diagnosed person, in advance of an interpersonal event with the diagnosed person. Is done. In addition, a comment suggesting what kind of action should not be performed (or should not be performed) is output to the person to be diagnosed for genre 3 “taboo”.

As shown in Fig. 23, the basic comments (M comment ①, M comment ②, F comment ①, F comment ② ■) and genre for each of Comments (genre A, genre Β · ·) may be prepared and configured so that they can be selected and output as appropriate.

In the above embodiment, the diagnosis reference information includes at least the date of birth of the person to be diagnosed, and the personality type determination indicating the correspondence between the calendar information indicating the date of birth and the individuality type By referring to the table, the personality type corresponding to the date of birth of the person to be diagnosed was selected and determined. In this type of individuality diagnosis, there is no need to analyze the actual behaviors and patterns of the person being diagnosed, and the creation of diagnosis result information can be done, for example, by preparing a set of comments and setting the date of birth. Since it is only necessary to read out and output information that is uniquely selected from the diagnostic reference information included, there is an advantage that it is simple.

However, the gist of the present invention is irrelevant to whether the individuality diagnosis results obtained in accordance with such a method are valid (that is, whether or not it is actually true). Rather, the validity is based on the prepared comment. Significantly affected by data quality. In this regard, the inventor's views are described below. First, the relationship between the date of birth or birth and the personality (individuality) formation of an individual may be questioned by academic grounds, but this is not related to the gist of the present invention. It is not a problem to be discussed here. However, the movement of the earth around the sun at a certain cycle, that is, the pure heavenly movement of the celestial body in the solar system The calendar on the earth is determined based only on body physics phenomena, and the date of birth or the time of birth is also recognized based on the calendar. In other words, human beings are born and live under the periodic changes of natural phenomena (seasonal changes and tide phenomena are examples) resulting from such regular celestial movements. It is natural to think that it also has a greater or lesser influence on the formation of an individual's personality and character.

However, as evidenced by the fact that it took thousands of years for the essence of astronomical motion to be ascertained, the effects of such astronomical motion are hardly noticeable in daily life. In other words, even if celestial movements affect the formation of individuality, etc., they should be extremely delicate, and it is extremely difficult to clarify the causal relationships without contradiction from the viewpoint of natural science. , Or near impossible. Naturally, in ancient times when the understanding of nature was shallow, a variety of wrong theories prevailed, such as fate tests that should have been unpredictable (one of identical twins born on the same day and time should not die due to accidents). However, it is not unusual to have a completely different fate) and fortune-telling, etc., and this is the culmination of a state of dignity up to the present day. According to Kojien 4th Edition (Iwanami Shoten, 1991), “divination” refers to “questioning the will of the god by sculpture and judging the future good luck”, that is, fate judgment in essence. It has the same meaning as, and of course "divination" in this sense is completely different from the essence of individuality diagnosis in the present invention.

The present inventor believes that various views, including those that have been transmitted for a long time, can be evaluated correctly only after conducting statistical analysis. Conversely, some of the various views and theories that have existed for a long time in history have survived to date as a result of their natural validation of statistical validity through artificial selection. It can be thought that. However, the number of views that have been made or are newly proposed on personality analysis are extremely large, and the proportion of those that lack validity is high. Therefore, in the above-described embodiment of the present invention, it is extremely important to select or update the content of the comment text to be used in accordance with the validity of the hit in order to improve the accuracy of individuality diagnosis. It can be said that there is. This can be simply described as "this Comments that have been hit will be adopted, and comments that have not been hit will not be adopted. ”

In this case, according to the system of the present invention, the individual diagnosis information creating means includes: an individual diagnosis comment data storage unit that stores individual diagnosis comments corresponding to each individual type on a one-to-one basis; Search means for searching the personality diagnosis comment corresponding to the determined personality type in the basic personality diagnosis comment storage means, wherein the personality diagnosis information output means outputs the personality diagnosis comment as basic personality diagnosis information, and It is possible to adopt a configuration in which individual diagnostic comments stored in the diagnostic comment data storage means are selected according to the hit probability of the comment content of a plurality of diagnostic subjects in the past. .

Comments can, of course, be voluntarily performed by users of the system based on the accumulation of diagnostic results and their evaluation feedback, but the system has a function to support this, and comments are provided. It is also possible to further increase the probability of hitting.

Next, the image character image data can be moving image data, and the image character image output means can output a moving image of the image character based on the moving image data. As a result, the personality type can be more strongly impressed, and the appearance on the screen is also rich, so that the user can be attracted. Specifically, as shown in FIG. 14, a moving image module 52 including moving image data and its operation program is stored in a form associated with the second type classification information B (I). Then, referring to the already determined second-class classification information B (I), the corresponding video module 52 is started, and as shown in FIG. 33, the monitor 21 (FIG. ), The moving image 401 of the image character can be displayed and output in the moving image display area 400.

Further, the individuality diagnosis information includes voice data of the individuality diagnosis comment, and the personality diagnosis information output means may output the personality diagnosis comment by the voice data. Specifically, as shown in Fig. 14, the individuality diagnosis comment (image ) Is stored in a form associated with the second type classification information B (I). On the other hand, as shown in FIG. 2, a speaker 758 is connected to an IZO port 751 of a terminal 703 via an amplifier 757. The voice data corresponding to the determined second type classification information Β (Ι) is read, and as shown in FIG. 34, the individual '14 diagnostic comment 400 is reproduced and output from the speaker 758. Synchronizing with the output of the moving image 401 of the image character, if the personality diagnosis comment is output as a voice, it is possible to produce an effect of making the image character add a comment. If you want to hear the comment again, it is convenient if you can repeat the comment by clicking the repeat soft button 402. It may be possible to display the comment in text with the voice output of the comment. In addition, it is possible to control the image so that only the mouth of the image character is flickering in synchronization with the audio output of the comment, but this is also regarded as a moving image.

Hereinafter, two more modes regarding the diagnosis result output of the individuality diagnosis information providing system 1 will be described.

(Rhythm display processing)

The CPU 12 as the means for creating individuality diagnosis information, by associating with a predetermined time or period in the past, present, or future, provides rhythm information that suggests a change over time in the living state of the subject under diagnosis. It is created as diagnostic information. According to this, the rhythm information adds a time-dependent factor to the content of the individuality analysis, and provides suggestions about the time-dependent changes in the living conditions of the diagnostic subject, so that they can reflect on the past and present conditions, or develop for the future. You can make good use of this if you wish.

Human personality is considered to have a periodic change behavior, that is, a rhythm, rather than a lifelong invariant. Rhythm information can be considered to reflect changes in living conditions based on such periodic variations in personality. The living condition can be represented by a plurality of living condition parameters each representing a different living condition, and the rhythm information is described by applying the living condition parameter to each of a plurality of predetermined times or periods. be able to. In this case, by digitizing living state parameters, If rhythm information is output in the form of a rhythm transition graph that represents the relationship between a plurality of times or periods and the values of the corresponding living state parameters, the rhythm information can be grasped visually in an easy-to-understand manner. The transition can be more easily understood.

It should be noted that any algorithm for generating rhythm information may be adopted, but it should be noted that the gist of the present invention is to determine whether the content of the obtained rhythm information is appropriate (whether or not It has no relation to the above, and it is important to find the most suitable algorithm through statistical analysis. An example of the rhythm information generation algorithm will be described below. Regarding the determination of the validity, it is important to pay attention to the above points.

The data used to determine the content of the rhythm information is as shown in Figure 26. Here, the above-described classification information S C (see FIG. 4), which is uniquely determined by the date of birth of the person to be diagnosed, particularly the third classification information C (I) is used. Then, the rhythm determination pattern is determined to be either rhythm A or rhythm B according to the value of C (I) by referring to rhythm pattern selection table 62. If it is determined, a rhythm pattern in which rhythm level data L (= L11, L12, L21, L22-) having different contents are arranged in a fixed order according to the rhythm pattern generation table 63. Generate. The array of the rhythm level data L qualitatively reflects the time series order, and is fixedly determined according to the ascending order of the values of the counter C A. Then, by changing the time span of the entire array to, for example, multiple years, one year, January, one day, etc., it is possible to generate rhythm information of various periods.

Each of the rhythm level data L contains an image keyword that represents the state of life (here, “investment”, “completion”, “transformation”, “learning”, “organization”, “waste”, 10 types of “Activity”, “Irritation”, “Adjustment”, and “Achievement”) are associated with the level values for graphing and are stored as the level conversion table 64. Also, comment data corresponding to individual rhythm level data L is stored in the rhythm comment database 65 for each time span of the entire array. “Living conditions” include psychological conditions and reactions to the surrounding environment. This is a concept that broadly covers matters related to the life of an individual. For example, the meaning of “conversion” can be exemplified by the content of comment 122 in FIG.

The flow of the process is shown in the flowchart of FIG. First, in S120, the rhythm determination pattern is determined to be either A or B using the rhythm pattern selection table 62 with reference to the contents of the third classification information C (I) of the person to be diagnosed. Then, in S121, the time span between adjacent Ls is set to one day according to the rhythm pattern selected by adding L21 (activity) to the birthday in the calendar date array using the rhythm pattern generation table 63. Generate rhythm information (January rhythm). This means that each L of the rhythm determination pattern corresponds to the calendar day array on a one-to-one basis, and the phase of the rhythm pattern that repeats every 10 days on the calendar day array is determined by the birth of the subject. It means that L21 corresponds to the day. The determined rhythm information for January is stored in the rhythm memory (month) shown in Figure 3.

In S122, referring to Table 43 (Year 1 B (Y)) in FIG. 10 to find the year that matches B (I) of the birthday, and assigning this year to L21 (activity), it is selected. Rhythm information (annual rhythms) with the time span between adjacent L's as one year according to the pattern. The determined rhythm information for each year is stored in the rhythm memory (every year) shown in Figure 3.

In S123, referring to table 44 (Month-one B (M)) in FIG. 10 to find the month that matches birthday B (I), and apply this month to L21 (activity) in the selected form. According to the pattern, the rhythm information (annual rhythm) with the time span between adjacent L's as January is generated. The determined rhythm information for the year is stored in the rhythm memory (annual) in Figure 3.

In S 124, a time range matching birthday B (I) is searched for by referring to table 45 (time range B (T)) in FIG. 10, and this time range is applied to L21 (activity). According to the selected pattern, rhythm information (rhythm of the day) is generated with the time span between adjacent L's being 2 hours. The determined rhythm information for one day is stored in the rhythm memory (day) shown in Fig. 3.

Then, in S125, the power render clock 7 (FIG. 1) is read, and the above rhythm information is read. The calendar clock 7 indicates the year (applied to the annual rhythm information), the month (applied to the annual rhythm information), the day (applied to the January rhythm information), and the time range (the daily rhythm). Read the L value of (applied to the information) and read the corresponding image keyword by referring to the level conversion tape No. 64. This is displayed in the display area 3 14 on the rhythm information display screen 250 shown in FIG. Also, a calendar input tool 313 is formed on this screen 250, and it is possible to output rhythm information with the selected desired date as a reference date. Further, in the areas 311 and 312, rhythm information for a predetermined period starting from the reference date is displayed. If you want to output the rhythm information as a graph, click one of the graph display soft buttons 315 to 317 with a mouse (S126). Then, the process proceeds to S127, and starts at the base date, and can be any one of the following periods: yearly (12 years), yearly (1 year), month (1 month), or 1 day. The L value of the rhythm information is quantified using the level conversion table 64 shown in FIG. 26.For example, the level value is set on the vertical axis, and the time axis is set on the horizontal axis. Output a graph. The comment corresponding to each L value of the year, month and day of the reference date is read from the rhythm comment database 65 and output in a form associated with a graph, for example.

Fig. 29 is an example of a life time and year rhythm information display screen 330. The graphs of life time rhythms 120 and year rhythms are shown in Darraf display ゥ window 331 and 332, respectively. The graph 1 2 1 is displayed. In the comment display window 33, a comment corresponding to the L value of the year is displayed. Click the "Close" button 3 3 5 to return to the screen 3 10 in Fig. 28, and click the print button 3 3 4 to print out the graph.

(Compatibility diagnosis)

Based on the diagnostic reference information of the person to be diagnosed and the diagnostic reference information of the partner to be diagnosed, the CPU 12 as the personality diagnostic information creation means converts the compatibility diagnostic information, which is information on the personality compatibility between the two, into individual diagnostics. Create as information. Figure 31 shows an example of the processing flow. ing. In order to perform compatibility diagnosis, it is basically necessary to set diagnosis reference information for two persons to be diagnosed, but these can be set independently of each other, and the diagnosis processing for a single person already explained (See Fig. 12), the diagnosis reference information of the person to be diagnosed may be fixedly set, while the diagnosis reference information of the compatibility diagnosis partner may be set to be changeable. The following description is based on the latter method.

In other words, assuming that the diagnosis reference information of one of the diagnosed persons (hereinafter referred to as the person) has already been input in the processing of FIG. 12, FIG. Diagnostic reference information is input and stored in the diagnostic reference information memory 14d.

Again, as with rhythm information, the algorithm for compatibility diagnosis on personality is not limited. It is important to find the most suitable algorithm through a comprehensive analysis. In the compatibility diagnosis of the present embodiment, the compatibility matching parameter MP is set using the age parameter MA between the subject and the compatibility diagnosis partner, and a diagnosis comment predetermined according to the value of the compatibility matching parameter MP is set. Is output. First, for the age MA, the classification information search table 30 in FIG. 4 is searched using the date of birth of the person to be diagnosed as a key, and the value of the individual is Mk and the value of the other party is MP. Stored in 4 e (S 13 1). Then, the compatibility matching parameter M P is calculated as the number of days between two moons (S 132). More specifically, in the lunar calendar, one month is defined as the 28th day of the lunar cycle, and after MA = 28, the sequence of numbers repeats periodically, returning to MA2 1. Therefore, if Mk = l2 and Mk = 28, the number of days on the lunar cycle would be 12 days. The algorithm for calculating this is not particularly limited. For example, the larger value of Mk and Mp is ML, and the smaller value is MS, and J1≡ML-MS, J2≡28-ML + MS, and J The larger of the numerical values of 1 and J 2 can be set as days apart, that is, the compatibility matching parameter MP.

The output comment is, as shown in Fig. 30, for each value of the compatibility matching parameter MP. Here, the basic comment and the comment according to genre (genre, jan _ν ) are used. In S134 of FIG. 31, first, the basic comment corresponding to the MP is read and output to the comment output window 367 of FIG. On the other hand, a genre selection soft button 368 is formed on this screen 360, and a desired genre is selected using this button. Then, the comment according to the genre corresponding to the selected genre is read out and output to the comment output window 367 (S135 to S139: However, in the figure, the display other than the genre / ζ and the genre is omitted) . If you want to print the result, click the print soft button 370 with your mouse. When the details of the individuality diagnosis information output using each screen shown in Fig. 16, Fig. 18, Fig. 20, Fig. 20, Fig. 28, Fig. 29, Fig. By clicking the batch print soft button 237 with the mouse, the printer 6 in FIG.

In this embodiment, the date of birth and the time of birth of the person to be diagnosed are adopted as the diagnosis reference information. However, the present invention is not limited to this. For example, the place of birth and blood type may be used.

Claims

The scope of the claims

1. diagnostic reference information setting means for setting diagnostic reference information, which is information necessary for specifying the content of individuality diagnosis and is unique to each person to be diagnosed, including the date of birth,

The results of individuality diagnosis to be obtained are classified into a plurality of individuality types in a hierarchical format including a predetermined number of basic individuality types and sub-individuality types that further subdivide the basic individuality type. Personality type determining means for determining a basic individuality type and a sub-individuality type based on the date of birth,

A basic personality image key word selecting means for selecting, from a plurality of basic personality image keys that impress individual basic personality types, one corresponding to the determined basic personality type;

Personality diagnosis information creating means for creating basic individuality diagnosis information corresponding to the determined basic individuality type, and sub- individuality diagnosis information corresponding to the similarly determined sub- individuality type,

Personality diagnosis information output means for outputting the created basic personality diagnosis information and sub-personality diagnosis information in a form associated with the selected basic personality image key,

A personality diagnosis information providing system comprising:

2. Calendar information is arranged according to the calendar, and a classification information search table in which classification information is arranged in a one-to-one correspondence with them is stored in the database.

A search is made in the classification information search table for force render information that matches the date of birth included in the set diagnosis reference information, and the corresponding classification information is read,

(1) Each of the two basic individual types is subdivided into four, five or six sub-individual types, and in the classification information, the combination types of the basic individual types and the sub-individual types are different from each other. Claim 1 wherein one of the 60 types of classification information is extracted, and the basic individuality type and the sub-individuality type are determined based on the combination indicated by the classification information. The individuality diagnosis information providing system described in the section.

3. An image storing the image character image data corresponding to the basic personality type A character image data storage means;

Claim 1 or Claim 2 comprising image character image output means for reading image character image data corresponding to the basic personality diagnosis information and outputting an image character image based on the image character image data in association with the basic personality diagnosis information. The personality diagnosis information provision system described in paragraph 2.

4. A basic personality diagnostic comment data storage means for storing basic personality diagnostic comments corresponding to each basic personality type,

4. The personality diagnosis information creating means for creating the personality diagnosis information using a basic personality diagnosis comment corresponding to the basic personality type determined by the personality type determination means. The personality diagnosis information providing system according to any one of the above.

5. The sub-individuality diagnosis information includes sub-individuality image keywords defined corresponding to the individual sub-individual types on a one-to-one basis. Individuality diagnosis information providing system.

6. The sub-individuality image key is obtained by adding sub-individual characterizing character information, which is additional character information that individually impresses the sub-individual type, to the basic individuality image key. The personality diagnosis information providing system according to claim 5.

7. The individuality diagnosis information creating means includes sub- individuality diagnosis comment storage means for storing a sub- individuality diagnosis comment corresponding one-to-one to each of the sub-individuality types,

7. The personality diagnosis information creating means, wherein the personality diagnosis information is created using a personality diagnosis comment corresponding to the personality type determined by the personality type determination means. The personality diagnosis information providing system according to any one of the above.

8. By combining the second type classification data for determining the basic individuality type with the third type classification data for subdividing individual basic individuality types, sub-identities corresponding to each of the basic individuality types While the type is determined,

A plurality of individuality factors that can be grasped as the personality of the same person diagnosed from different viewpoints are defined, and each individuality factor is classified into the same basic personality type. The personality type determining means determines the type of the personality type for each individuality factor according to the content of the input diagnostic reference information,

Separately prepare a set of the second kind classification data representing the same one and two kinds of basic personality types, and apply these to the time-series arrangement of the year, month, and day of the calendar information in the same arrangement order. In addition, as the third type classification data, only one set that is commonly used in the same sequence order when determining all types of individuality factors is prepared,

Based on a combination of the second type classification data corresponding to the date information of the date of birth and the common third type classification data, an individuality factor representing the "essence" of the subject is determined, and the birth date is determined. Based on a combination of the second type classification data corresponding to the information of "month" of the date and the common third type classification data, an individuality factor representing the "surface" of the diagnostic subject is determined. Date of birth

Based on a combination of the second type classification data corresponding to the information of `` year '' and the common third type classification data, an individuality factor representing the `` will '' of the diagnostic subject is determined,

The personality diagnosis according to any one of claims 1 to 7, wherein the personality diagnosis information creating means creates personality diagnosis information corresponding to a personality type determined for each individuality factor. Information system.

9. Divide the daily cycle into 12 time ranges of 2 hours each and set the second type classification data corresponding to each time range, and together with the date of birth together with the date of birth as the diagnostic reference information Based on a combination of the second type classification data corresponding to the birth time and the common third type classification data, an individuality factor representing “hope” of the diagnostic subject is determined. 9. The personality diagnosis information providing system according to claim 8, which is configured as described above.

10. Individual diagnostic information is prepared for each genre that is set in multiple sets according to the type of information, the usage of information, the purpose of using information, etc., and the individual diagnostic information is stored in a form associated with the genre name. Individual diagnosis information storage means for performing

A genre selection means for selecting a genre of the required personality diagnosis information;

From the individuality diagnosis information storage means, individuality diagnosis information corresponding to the selected genre is read. A personal information diagnostic means for outputting personal diagnostic information for each genre,

The personality diagnosis information providing system according to any one of claims 1 to 9, comprising:

11. The personality diagnosis information creating means includes personality diagnosis comment data storage means for storing personality diagnosis comments corresponding to each personality type one-to-one, and personality determined according to the date of birth of the subject. Comment search means for searching the personality diagnosis comment corresponding to the type by the basic personality diagnosis comment storage means,

The personality diagnosis information output means is for outputting the personality diagnosis comment as the basic personality diagnosis information,

The personality diagnosis comment stored in the personality diagnosis comment data storage means is selected according to the hit probability of the comment content of a plurality of diagnosis subjects in the past. 21. The personality diagnosis information providing system according to any one of Items 1 to 10.

1 2. A diagnostic reference information setting step for setting information that is necessary for specifying the content of individuality diagnosis and that is unique to each subject to be diagnosed, including the date of birth.

The results of individuality diagnosis to be obtained are classified into a plurality of individuality types in a hierarchical format that includes a plurality of predetermined basic individuality types and sub-individuality types that further subdivide the basic individuality type. A personality type determining step for determining the basic individuality type and the sub-individuality type based on the date of birth,

A basic personality image key selection step for selecting a keyword corresponding to the determined basic personality type from a plurality of basic personality image keywords that impress individual basic personality types;

A personality diagnosis information creating step of creating basic individuality diagnosis information corresponding to the determined basic individuality type, and sub-individuality diagnosis information corresponding to the similarly determined sub- individuality type;

A personality diagnosis information output step of outputting the created basic personality diagnosis information and sub-personality diagnosis information in a form associated with the selected basic personality image keyword; A personality diagnosis information providing method, comprising:

1 3. A diagnostic reference information setting step for setting diagnostic reference information that is necessary for specifying the content of individuality diagnosis and that is specific to each subject to be diagnosed, including the date of birth.

The results of individuality diagnosis to be obtained are classified into a plurality of individuality types in a hierarchical format including a plurality of predetermined basic individuality types and sub-individuality types that further subdivide the basic individuality type. A personality type determining step of determining a basic individuality type and a sub-individuality type based on the date of birth,

A basic personality image key selection step for selecting a plurality of basic personality image keywords that impress individual basic personality types corresponding to the determined basic personality type;

A personality diagnosis information output step of outputting the created basic individuality diagnosis information and sub-individual diagnosis information in a form associated with the selected basic individuality image keyword, and a routine for causing a computer to execute A computer program characterized by the following.

14. A recording medium characterized by recording the computer program according to claim 13 in a computer-readable state.