JP2001052048A - Personality diagnostic information providing system, portable personality diagnostic information providing system and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To easily execute the systematic analysis and grasping of output contents by outputting prepared basic personality diagnostic information and subordinate personality diagnostic information while mutually correlating them with a selected basic personality image keyword. SOLUTION: The value of B (I) as a basic model determination parameter in classification information SC is read and correspondent basic comments M (for male) and F (for female) are selectively read in accordance with the sex. The data of image character and image comment corresponding to B (I) are read and displayed on respective display windows while mutually relating an image character 110a and an image comment 111a as basic personality diagnostic comment. On the other hand, a basic comment 112 being subordinate personality diagnostic comment is displayed inside a window 283 on the same screen 280 corresponding to the image character 110a and the image comment 111a. Besides, the basic comment 112 is prepared while using the basic image keyword as well.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information providing system, and more particularly, to a system for performing individual diagnosis or personality diagnosis of a person to be diagnosed and providing the result of the diagnosis as information, and for realizing functions of the system on a computer. And a recording medium storing the program.

[0002]

2. Description of the Related Art Conventionally, in the field of computer games, various devices have been proposed which judge the character and compatibility of a person to be judged (diagnosed) in accordance with an input date of birth and a response result to a question. Have been. The judgment result is mainly a comment output by display or printing, but this is fed back to the control unit of the game device,
There is also a proposal for an apparatus that causes a game character to perform an operation reflecting the determined character (for example, Japanese Patent Laid-Open No.
-197350). Also, JP-A-11-175506
Japanese Patent Application Laid-Open Publication No. H11-216555 also discloses a proposal of performing compatibility diagnosis and fortune-telling using a personal database stored in a data terminal device for organizing business cards.

[0003]

However, the above-mentioned personality judging device has been conventionally used exclusively for a sense of play similar to that of a game.
Applications to personality analysis in business strategies are hardly considered. As a major reason, for example, in the case of outputting a comment, from among a large number of comment data accumulated in the storage unit, one that matches the determination content is selected,
In most cases, these are printed or displayed in a form joined together without any context, which seems to be caused by the fact that the output contents are not systematic. For this reason, it is difficult to comprehend the content, or even if it is understood, it is ultimately difficult to grasp the overall picture of the individuality (character) of the diagnosis subject.

[0004] When considering the application of personality analysis to business and organizational management, for example, people with similar personalities are collected, or conversely, people with opposing personalities are appropriately compounded in a group. Furthermore, it is strongly required to analyze the personality of the business partner and to respond promptly in response. However, if the output contents are not systematized as in the above-mentioned conventional personality judgment device, almost no information can be obtained on the relevance to the analysis results of others, so that a wrong judgment result is reached. Is also inevitable. Furthermore, since the analysis of the output contents requires a considerable amount of labor and time, it is almost impossible to cope with the flow of business and other situations that change rapidly.

[0005] Further, in the above-mentioned application, personality analysis of a large number of people is required in some cases, and personality diagnosis information of a specific person may be required repeatedly depending on the situation. In business activities and the like, it is also an important point to quickly access personality diagnosis information of a partner. In other words, when the information content is analyzed from the moment when the user wants the information to the final decision, how to quickly reach an accurate decision becomes an important issue. Also, human personality and personality are inherently multifaceted, and a considerable amount of information is needed to cover the entirety.However, the situation where personality information is required varies widely, and It is rather rare that the entire personality information of the person is needed, and it can be said that it is important to extract only the necessary information in a timely manner according to the situation.
Furthermore, the mobility of the device itself is not so required in play and games, but for business use purposes such as sales and business, device demand occurs regardless of location and time. Mobility corresponding to it is also required. However, in the above-mentioned conventional personality determination device, no consideration has been given to measures for these problems.

SUMMARY OF THE INVENTION An object of the present invention is to systematically output the results of individuality diagnosis, and to systematically analyze and grasp the output contents, and to provide an intuitive and intuitive overview of individuality. A primary object is to provide a personality diagnosis information providing system that can effectively impress. It is a second object of the present invention to provide a personality diagnosis information providing system capable of systematically analyzing and managing individuality of a large number of persons to be diagnosed and quickly outputting or accessing individuality diagnosis information of a desired person. . On the other hand, a third object is to provide a personality diagnosis information providing system capable of timely extracting only necessary information according to a situation from personality information of a partner person. A fourth object of the present invention is to provide a highly mobile personality diagnosis information providing system that can meet the demands of a device regardless of place and time while achieving the above object. A fifth object is to provide a program storage medium for realizing the functions of these individuality diagnosis information providing systems on a computer.

[0007]

Means for Solving the Problems and Functions / Effects In order to solve the above first problem, the first of the personality diagnosis information providing systems of the present invention is information necessary for specifying the content of personality diagnosis. Diagnostic reference information setting means for setting diagnostic reference information unique to each person to be diagnosed, a personality diagnosis result to be obtained, a predetermined number of basic personality types, and sub-characteristics for further subdividing the basic personality types Personality type determining means for determining the corresponding basic personality type and sub-personality type in accordance with the contents of the inputted diagnostic reference information, respectively; A basic personality image keyword selecting means for selecting a basic personality image keyword corresponding to the determined basic personality type from a plurality of basic personality image keywords impressing the basic personality type of the basic personality type. Corresponding personality diagnosis information and personality diagnosis information creating means for creating sub-characteristic information corresponding to the determined sub-characteristic type, and the created basic personality diagnosis information and sub-personality diagnosis information are selected. Personal diagnosis information output means for outputting the basic personality image keywords in a form associated with each other.

[0010] According to the above configuration, a setting operation of the diagnosis reference information of the person to be diagnosed (for example, an input operation using input means such as a keyboard and a mouse, and a database of diagnosis reference information formed in a storage device in advance (diagnosis reference information) Information storage means)
The individuality type corresponding thereto is determined by the selection operation in the above). 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 individuality diagnosis information corresponds to a so-called large classification of the individuality (or personality) of the person to be diagnosed, and is useful for roughly grasping the whole picture. In addition, by limiting the basic personality type to the determined type, common points of persons with similar personalities can be very easily grasped by looking at the personality type type. Specifically, the personality diagnosis information creating means has basic personality diagnosis comment data storage means for storing a basic personality diagnosis comment corresponding to each basic personality type, and the personality diagnosis information creating means is a personality type determination means. The basic personality diagnosis information can be created using the basic personality diagnosis comment corresponding to the determined basic personality type. However, in this specification, the concept of “creating” includes a mode in which the diagnostic comment read from the storage unit is used as it is without any particular processing.

Furthermore, since the basic individuality type keyword for impressing the basic individuality type is given, it is possible to intuitively and effectively impress the entire personality image. The type of the basic individuality 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 "Raccoon father" and "cat-like woman" .By using this as a basic personality image keyword, the personality of the person can be expressed as a familiar animal image. Can give a very strong impression. In conducting various interpersonal events, such as business talks, negotiations, or arguing with the opposite sex, there is no way to hope for a development that is advantageous to oneself if the individual's personality and character cannot be grasped. However, if the basic personality type is impressed in association with the animal name, the personality of the partner is not lost in any situation, and the prospect of the progress of the interpersonal event can be easily established. In addition, as the animal name,
It is also possible to use fictional animal names such as "Pegasus" or "Dragon".

In this case, the image character image data storage means for storing the image character image data corresponding to the basic personality type, and the 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 data is read out. Image character image output means for outputting the image character image in association with the basic personality diagnosis information can be provided. Image character (eg, animal character) corresponding to the basic individuality image keyword
By outputting, the basic personality type can be visually impressed, and the effect is further enhanced.

Next, when information on a subtle difference in individuality between persons belonging to the same type is required, the basic individuality diagnosis information may be supplemented and understood by referring to the sub individuality diagnosis information.
As described above, by using the basic individuality type and the sub-individuality type together, it is possible to output the individuality diagnosis results in a systematic form, and thus to systematically analyze and grasp the output contents extremely easily. Can be. The sub-individuality diagnosis information can include sub-individuality image keywords defined in a one-to-one correspondence with each sub-individuality type. By adding the sub-individual characterizing character information, which is additional character information that impresses the user, not only the correspondence between the sub-individual character type and the basic personality type becomes clearer, but also The effect of impressing the contents of the sub-individuality type is greatly enhanced by the presence of the information.

For example, if the basic personality image keyword is “lion”, the sub personality characterizing character information is
For example, "going my way", "commanded", "emotional", "vulnerable", etc., the sub-individuality image keywords are "lion going my way",
"Commanded Lion", "Emotional Lion",
Becomes a "vulnerable lion." 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. Further, due to the difference in the contents of the sub-individual characterizing character information, it is possible to intuitively grasp a subtle difference and to effectively impress this difference while belonging to the same basic personality type. 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 creating unit corresponds to the sub-individual type determined by the personality type determining unit. The sub-individuality diagnosis information may be generated using the sub-individuality diagnosis comment. By referring to the sub-individual diagnosis comment,
The individuality of the person to be diagnosed can be grasped more deeply and systematically.

In addition, including the following configuration, the output of the individuality diagnostic information is visually output on a screen of a display device such as a monitor or a display, printed out to a printing means such as a printer, and output from a speaker. , And any of these modes can be adopted.

Next, in order to solve the second problem, a second aspect of the personality diagnostic information providing system of the present invention is a diagnostic reference information inputting means for inputting diagnostic reference information and a plurality of diagnosis target information input means. Diagnostic reference information storage means for storing the diagnostic reference information obtained in association with target person identification information for identifying individual diagnosed persons, and selecting the diagnostic reference information stored in the diagnostic reference information storage means Diagnostic reference information selecting means and diagnostic reference information input means for inputting diagnostic reference information, or diagnostic reference for setting diagnostic reference information to be used for individuality diagnosis based on selection of diagnostic reference information stored in the diagnostic reference information storage means Information setting means, personality diagnosis results to be obtained are classified into a plurality of personality types, and according to the content of the set diagnosis reference information, personality type determination means for determining a corresponding personality type; And personality diagnostic information generating means for generating a personality diagnostic information corresponding to the determined personality types, to and personality diagnostic information output means for outputting the unique diagnostic information that was created, comprising the.

According to the above configuration, for a new diagnostic subject, new diagnostic reference information is input, and the diagnostic reference information input in the past is diagnostic subject identification information (for example, the name of the subject). ) Is accumulated in the diagnosis reference information storage means in a form associated with the information. That is, it is possible to systematically analyze and manage a large number of persons to be diagnosed. If the diagnosis target has been input in the past, by using the stored diagnosis reference information as a database, the diagnosis reference information of the corresponding diagnosis target is searched for and selected. The determination of the personality type and the creation of the corresponding personality diagnosis information can be performed quickly, and the personality diagnosis information of a specific person can be output or accessed quickly.

In this case, in order to support the selection of the diagnosis reference information, if a diagnosis target list display means for displaying a list of the target person identification information and the diagnosis reference information in a mutually associated manner is provided, a desired diagnosis target information is provided. It is possible to quickly and easily find the diagnosis reference information of the person to be diagnosed, and it is possible to greatly increase the speed of information generation or the mobility of access particularly at a site where an interpersonal event is faced. In particular, search information input means for inputting search conditions for performing a search for a diagnosis target, and a diagnosis target corresponding to the input search conditions,
By providing a diagnosis target search means for searching in the diagnosis reference information storage means and a search result display means for displaying the search result, even if the diagnosis target list is enormous,
Since the diagnosis reference information of the target person can be quickly obtained by the search input, the effect is further enhanced.

It should be noted that for a person who has been diagnosed once in the past, it is also possible to perform a search using a part of the individuality diagnosis result. Specifically, in the diagnostic reference information storage means,
At least a part of the individuality diagnosis result of each person to be diagnosed is stored in a form associated with the diagnosis reference information, while the search information input means is configured to be capable of inputting search conditions including the individuality diagnosis content as information. In addition, it is assumed that the diagnosis subject searching means searches for a diagnosis subject whose personality diagnosis result matches the information of the personality diagnosis content included in the input search condition. The merit of this configuration is that using a part of personality information,
The point is that it is possible to list common persons in terms of a certain personality. For example, it can be said that this is a very effective function for, for example, gathering persons having similar personalities in a specific section, for example, when planning a personnel organization in a company or an organization. Note that the search may be terminated when the diagnosis target is listed, or a desired person may be selected from the listed diagnosis targets and re-diagnosed. Specifically, the search condition may include a personality image keyword determined corresponding to the personality type as information of the personality diagnosis content.

It is to be noted that the above-mentioned second configuration of the individual diagnosis information providing system of the present invention can be combined with the first configuration of the individual diagnosis information providing system of the present invention. In other words, if the first configuration that outputs systematic personality information by combining the basic personality type and the sub-characteristic type is combined, the systematic configuration of many Individuality analysis and management become easier to perform. In addition, the fact that the content of the information to be output is easily understood is coupled with the quick output or access of the individuality diagnosis information, which is an effect peculiar to the second configuration, from the moment when the user wants the information. This means that the time required to analyze the information content and reach a final decision can be further reduced. Therefore, it is possible to more advantageously carry out interpersonal events such as negotiations and negotiations. In this case, the above-mentioned individuality type corresponds to the basic individuality type and the sub-individuality type in the first configuration, and the individuality image keyword also corresponds to the basic individuality image keyword and the sub-individuality image keyword.

Next, the third aspect of the personality diagnosis information providing system of the present invention which solves the third problem is information necessary for specifying the content of diagnosis of personality or personality, which is unique to each person to be diagnosed. Diagnostic reference information setting means for setting diagnostic reference information, and individuality diagnosis results to be obtained are classified into a plurality of personality types, and a corresponding personality type is determined according to the content of the set diagnostic reference information. Personality type determining means, and personality diagnosis information corresponding to the determined personality type, personality diagnosis information creating means for creating a plurality of genres set according to the type of information, the use of information, the purpose of use of the information, etc. And personality diagnosis information output means for outputting the created personality diagnosis information for each genre.

According to the above configuration, the diagnosis reference information of the person to be diagnosed is set, the personality type is determined by using the reference information, and the personality diagnosis information corresponding to the determined personality type is the information type and the information type. It is generated for each genre that is set in plurality according to the usage conditions, the purpose of use of information, and the like. For example, in the various interpersonal events described above, depending on the progress of the event, there are various scenes in which personality analysis of the other party is required, and different personality analysis information (individuality diagnosis information) is required for each scene. There are many. Therefore, by making it possible to output personality diagnosis information for each genre as described above, it is only necessary to select and use the personality diagnosis information of the optimal genre for each scene, and to timely provide only necessary information according to the situation. It becomes possible to extract. In this case, genre selection means for selecting a genre of the required personality diagnosis information is provided, and the personality diagnosis information output means outputs the personality diagnosis information of the selected genre. Only the output can be selectively performed, which is more convenient.

The third configuration of the personal diagnosis information providing system of the present invention can be combined with the first configuration or the second configuration of the personal diagnosis information providing system of the present invention. Also in this case, the personality diagnosis information is classified by genre,
By making it possible to select and use only the necessary information, the time from the moment the user wants the information to the analysis of the information content to the final decision can be further shortened, and for example, interpersonal events such as negotiations and negotiations It is possible to proceed more advantageously.

In order to achieve a fourth object, a portable personality diagnosis information providing system according to the present invention comprises a CPU, a built-in power supply, and a display unit for visually outputting data.
The hardware is configured by a portable terminal device in which an input unit for performing a predetermined input and a storage device for storing necessary data and programs in a state readable by a CPU are integrally assembled in a case. The storage device stores a program for realizing the function of the personality diagnosis information providing system having at least one of the first to third configurations. By configuring the system in this way, the equipment demand can flexibly respond to business use purposes such as sales and business that occur anywhere and anytime, and how to obtain the desired personality diagnostic information It can be obtained quickly in any situation.

As the portable computer, a computer called a laptop computer or a notebook computer can be used. The portable computer has the following configuration, that is, a CPU, a built-in power supply, and a device for visually storing data. A liquid crystal display for outputting, and the display contents are superimposed on the liquid crystal display so as to be able to be seen through, and a predetermined area is set by touching an input section to be electrically set with an input indicator such as a finger or a pen. A storage device for storing necessary data and programs in a state readable by the CPU;
Can be integrated into a case to form a portable computer. Among them, those that do not have a hard keyboard and are designed to fit in the palm of a hand are palm-top computers or PDAs (Personal Dig).
It is called "Ital Assistant" and is very suitable for carrying around. Furthermore, since it is very small, the input operation can be performed inconspicuously even during, for example, an interpersonal event or the like, so that the mobility can be further improved. In addition, the input section is free from intuitive and easy-to-operate search input sections by using soft keys that combine button images on the LCD screen and operation sections on the touch panel that are electrically set correspondingly. There is an advantage that can be customized. As a result, the user is released from difficult and troublesome hard keyboard operations, and the input operation is intuitive and easy to understand, so that the awareness of active use of the system can be further increased. In addition, as a palmtop computer,
Commercially available products such as "Saurus" (trade name of Sharp Corporation) or "Newton" (trade name of Apple Computer) can be used.

The function of the personality diagnosis information providing system of the present invention can be realized on a computer by a program. Specifically, a program for causing a computer to function as the above-described various means constituting the system can be recorded on a recording medium in a computer-readable form. By installing a program recorded on such a recording medium into a computer,
The function of the personal diagnosis information providing system of the present invention can be easily added to this. The recording medium is, for example, a CD-R
OM, floppy disk, magneto-optical disk, IC card and the like.

[0025]

Embodiments of the present invention will be described below with reference to embodiments 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 is configured as a computer system and includes an I / O port 11, a CPU, a ROM 13, a RAM 14, a monitor control unit 20, a fixed storage device 22 including a hard disk drive, and a CD-ROM 5 as a recording medium. CD-ROM drive 4, keyboard 2,
Mouse 3 (may be another pointing device), printer 6, calendar clock (generate date information) 7
Etc. are connected. The monitor 21 includes a monitor 21
Is connected.

The fixed storage device 22 includes an application program (hereinafter simply referred to as an application) 22b for realizing the functions of the personality diagnosis information providing system 1 on a computer, and an operating system for forming its operating environment on the computer. Program (O
S) 22a and a database 22c used for various processes for individuality diagnosis are stored. The programs 22a and 22b and the database 22c are supplied, for example, in the form of being recorded on a CD-ROM 5 as a recording medium.
When a predetermined installation program (not shown) is started by U12, the program is installed in the fixed storage device 22. Further, the ROM 13 stores various basic programs for controlling hardware of the computer. Further, a work area for each program stored in the fixed storage device 22 and the ROM 13 is formed in the RAM 14.

The above-mentioned computer may be configured as, for example, a desktop computer. However, if a portable computer such as a notebook personal computer or a laptop personal computer using a battery or the like as a power supply is used, the system 1 is portable. Can be configured into a mold. On the other hand, FIG. 2 shows an example in which the personality diagnosis information providing system 100 is configured to be portable using a palmtop computer (PDA). Although the basic configuration has many parts in common with FIG. 1 (the same reference numerals are given to the common parts), a keyboard or a mouse constituting an input unit is provided by a touch panel control unit 18 and a touch panel connected thereto. 19 has been replaced. The fixed storage device 22 is a flash memory (EPROM).
And a device used for installing data and programs is an IC card connector 15 for connecting an IC card 16.
The programs 22a and 22b and the database 22c are
For example, the flash memory 22 is supplied in a form recorded on an IC card 16 as a recording medium, and a predetermined installation program (not shown) is started by the CPU 12 while the IC card connector 15 is connected thereto. Installed within. Reference numeral 5 denotes a battery-type built-in power supply for operating a portable computer, and a battery 13 is detachably mounted.

In any of the configurations, the application 22b plays a role of causing each unit of the computer to function as the following means described in the claims on the OS 22a. CPU12: diagnosis reference information setting means, individuality type determination means, basic individuality image keyword selection means, individuality diagnosis information creation means, basic individuality diagnosis information creation means, sub- individuality diagnosis information creation means, diagnosis target search means, comment search means ,
Evaluation support output means.・ Keyboard 2, mouse 3 (FIG. 1), touch panel 19
(FIG. 2): diagnosis reference information setting means, diagnosis reference information selection means, diagnosis reference information input means, search information input means, genre selection means, hit evaluation information input means. -Fixed storage device 22 (FIG. 1), flash memory 22
(FIG. 2): Basic personality diagnosis comment data storage means, image character image data storage means, sub personality diagnosis comment storage means, diagnosis reference information storage means, hit evaluation information storage means. Monitor 21: image character image output means, diagnosis subject list display means, search result display means, individuality diagnosis information output means. Printer 6: means for outputting individual diagnosis information.

FIG. 3 shows an example of allocation of various memories in the RAM 14. Here, a program work area 14a, a diagnosis target list memory 14b, a diagnosis reference information memory 14c of a diagnosis target, a diagnosis reference information memory 14d of a compatibility diagnosis partner, a diagnosis result memory 14e, a comment evaluation counter memory 14f, and the like are formed. I have. Details in each memory will be described in the following description of functions.

Hereinafter, the operation of the system 1 of FIG. 1 will be described by function (the system 100 of FIG. 2 is almost the same as the system 1, and only the portions that are particularly different will be supplementarily described. ). First, when the application program 22b is started, FIG.
Is displayed on the monitor 21 (FIG. 1). The screen 220 includes a data input / list display screen 230 and a personality analysis list display screen 250 (FIG. 2).
3), first detailed comment display screen 280 (FIG. 25), second detailed comment display screen 290 (FIG. 27), rhythm information display screen 310 (FIG. 35), rail display screen 340 (FIG. 19), and compatibility diagnosis screen 360 (FIG. 41) are superimposed and displayed in a layer format. In each screen, a selection tag unit 221a functioning as a soft button is integrated with the upper edge of the screen in a positional relationship shifted from each other in this embodiment. An area 221 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 221a of the desired screen, and the mouse 3
By clicking a click button (not shown), the screen is switched to the selected screen.

The flow of the data input / registration processing is shown in the flowchart of FIG. In S1, the data input / 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, the diagnostic subject The input of the kanji name character string representing the name and the kana reading character string representing the reading is performed using the keyboard 2 in FIG. 1 and the touch panel 19 in FIG. 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.

FIG. 8 shows an example of an input screen 201 when an input is made using the touch panel 19. On this screen 201, an input window 202 and a soft keyboard 203 functioning by a touch operation are formed. By operating the soft keyboard 203 with a touch pen (or a finger) PT, a name and a kana character are input. The input contents are displayed in the input window 202. In addition, kanji conversion and confirmation of the input kana character string
This is performed by a touch operation of the soft key group 250.

Returning to FIG. 7, in S3 to S6, diagnosis reference information necessary for specifying the content of the individuality diagnosis is input. In this embodiment, as the diagnosis reference information, the birth date of the person to be diagnosed,
The birth time, gender, and option data as user data up to a predetermined number of characters are input, and registration is confirmed by a predetermined key operation (S7). Thereby, as shown in FIG. 6, the reading 41, the name 42, the date of birth 43, the (birth) time 44, the gender 45, the diagnosis result information 46 (described later), and the option data 47 are associated with each other. Is stored and registered in the diagnostic reference information storage unit 40 in the database 22c. As shown in FIG. 10, 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 displayed in the comment display. It is displayed in the window 233.

It is convenient to input the date of birth by displaying a calendar input window 212 as shown in FIG. Here, the birth year and the birth month are selected using the year selection soft key 214 and the month selection soft key 215. Then, the CPU 12 displays the date input window 213 of the selected birth month by referring to calendar data (not shown). This window 213
Is displayed in a calendar format, but each date column is a date selection soft button. Input of the date of birth is completed by selecting a birthday date and clicking the mouse. Note that the user clicks the cancel soft button 216 to cancel the input contents, and clicks the OK soft button 217 to confirm the input contents.

As the option data, any data may be input. For example, data which can classify a person to be diagnosed, such as relationship, relationship, office, and affiliation (for example, friend, company, (Development, sales, general affairs, etc.), this can be effectively used in search processing described later.
In this case, the input of the option data may be performed by character input from a keyboard, but a predetermined number of classifications are fixedly determined in advance, and a corresponding one of the determined classifications is input to a keyboard or a soft button. Alternatively, the input may be performed by appropriately selecting the information.

Returning to FIG. 10, the registered diagnosis reference information is displayed in a list in the display window 231 in the form of a diagnosis target list (the contents of the option data are displayed in the "group" column). When the mouse pointer MP is set to the position of the diagnosis subject to be selected, a predetermined confirmation process, for example, double-clicking a mouse button is performed, so that the selection cursor P moves to the position of the diagnosis subject, and the corresponding diagnosis reference A set of information can be selected (that is, set for diagnostic processing described later).
The selected information is loaded into the memory 14c of FIG. Here, when the data amount of the diagnosis subject list is large and the entire list cannot be displayed in the display window 231, the scroll cursor 23 on the scroll bar 232 is used.
By operating 2a to scroll the list,
The hidden part can be displayed in the display window 231.

However, in many cases, it is difficult to find the target person to be diagnosed simply by scrolling the list. Therefore, in this embodiment, a sort (rearrangement) function and a search function are added. First, regarding the sorting process, FIG. 11 is a flowchart showing a flow of an example thereof. First, in S11, a sort item is input. In this embodiment, as shown in FIG.
At 36, a desired sort item can be selected by clicking a soft button. Then, S1 in FIG.
As shown in 2 to S23, according to the selected sort item, diagnosis is performed in either ascending or descending order (this can also be made selectable) of data forming the sort item (hereinafter, referred to as sort data). The data of the reference information is sorted and the list is displayed on the display window 231 in the sorted array. FIG. 13 shows an example in which the option data (group) is sorted using the sort items, and the diagnosis reference information in which the content of the option data is “friend” is collected as a result of the sorting. Understand.

Although there is no particular limitation on the default list array before sorting, for example, an array of "reading names" of the diagnosis subject (for example, in Japanese syllabary order) can be employed. In addition, if the above-mentioned “reading of name” is added to the sort item, by selecting this, the list display state of the Japanese syllabary order can be returned at any time.
It is also possible to perform the sorting in two or more stages. For example, after sorting by a certain item A,
When there are a plurality of sort data items A, the diagnostic reference information of the plurality of sort data items can be sorted by another sort item B. For example, in FIG.
All the data appearing in the display window 231 have the option data “friend”,
This can be further sorted in the order of the Japanese syllabary of the name reading or the date of birth.

In the case of a diagnosis subject whose individuality has already been diagnosed and a part of the result is known, it is possible to select a part of the diagnosis result as a sort item. explain.

Next, the search function will be described. FIG.
2 is a flowchart showing a flow of an example of the processing. Here, as search conditions, a person's name and items other than the person's name, specifically, diagnosis reference information (here, the date of birth and optional data, but information such as gender and birth time can also be search conditions) and diagnosis Some of the results (described below)
Make it available. Although not shown in FIG. 10, a search screen for setting search conditions by keyboard or mouse input can be separately displayed.

When the name search is selected in S1, a full name or a part of a character string representing the name to be searched or its reading is input to a name search window 238 in FIG. A search process is executed in the diagnostic reference information storage unit 40 of FIG. 6 by extracting the diagnostic reference information that hits the input content. The output format of the extracted diagnosis reference information can be various. For example, a search result display screen may be separately displayed, and the diagnosis reference information hit here may be displayed in a list format. There is also a method of automatically moving the selection cursor P to the position of the hit diagnosis reference information in the list.

On the other hand, in FIG. 12, when the item-based search is selected in S31, the process proceeds to S32, and the search items are input (or selected) as in the case of the sorting process. In this case, if the item is the date of birth, a specific date of birth can be set alone, or the date of birth can be set within a period range (S33, S34). In the former case, only diagnostic reference information that matches the set birth date is extracted, and in the latter case, all diagnostic reference information to which the birth date belongs within the set period range is extracted. As a special condition, a search can be performed by designating only a month or only a day.

On the other hand, when the option data is selected as a search item (S35, S36), it is basically the same as the name search, and a character string of the option data to be searched (for example, "company") is input. Then, a search is performed based on the match / mismatch. As described above, a predetermined number of categories are fixedly defined in advance as option data as data that can be classified by the person to be diagnosed (for example, friend, company, development, sales, general affairs, etc.). It is more convenient to select an appropriate one from among the classifications and input the information. Also in this search processing, in the case of a person to be diagnosed whose individuality has already been diagnosed and a part of the result is known, it is possible to select a part of the diagnosis result as a search item (described later).

Hereinafter, details of the individuality diagnosis processing will be described. FIG. 18 shows the flow of the diagnosis process. When the 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, if the diagnosis soft key 239 in FIG. 10 is clicked, a diagnosis process is executed. In FIG. 18, the diagnosis subject list shown in FIG. 10 is displayed (S
50), the diagnosis reference information is set by selecting a diagnosis target person from the list (S51).

If the diagnosis reference information is set, the process proceeds to S52, where the information of the date of birth, the time of birth, and the sex are read. Then, the process proceeds to S53, where a process of determining an individual type is performed. FIG. 4 conceptually shows a classification information search table (individuality type determination table) 30 used for determining an individuality type. The classification information search table 30
Is, like all the data used for personality diagnosis below,
It is stored in the database 22c. Where the year,
Calendar information 31 as month and day data is arranged according to the calendar, and classification information (SC) 32 is stored in a one-to-one correspondence with them. 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 / year conversion table 33, and then used for search in the classification information search table 30.

The classification information SC includes parameters for determining individuality types. In this embodiment, the first type classification data A (I), the second type classification data B (I), and the third type classification data C
It is represented by a combination of the three types of classification data of (I). The second type classification data B (I) is a parameter for specifying the basic personality type, and in this embodiment, B01 to B
There are twelve twelve types. As shown in FIG. 20, the basic individuality image keywords B # are stored in the image keyword table 54 in a form corresponding to each of the second type classification data B (I) on a one-to-one basis. All of the basic individuality image keywords B 全 て are animal names (B01 = wolf, B02 = pike,
B03 = Monkey, B04 = Cheetah, B05 = Black Hail, B06 = Lion, B07 = Tiger, B08 = Tanuki, B09 = Baby bear, B10 =
Elephant, B11 = sheep, B12 = wolf).

On the other hand, the type I classification data A (I) is smaller in number than the type II classification data B (I), and here A01 to A0
4 (corresponding to the image keywords sun, earth, full moon, and new moon, respectively). Here, the third type classification data C (I) is ten types of C01 to C10 here (each of which is used as an image keyword for a tree, a sun, a mountain, a vein, a sea, a flower, a lamp, the earth, a jewel, and rain and dew). Correspondence). Simply, A (I) and B in the classification information SC
Combinations of (I) and C (I) can be up to 3 × 12 × 10 = 360, but here only 60 of these are selected. In other words, the classification information SC is S
There are 60 types of C1 to SC60. Then, as shown in FIG. 5, the classification information search table 30 stores the above 60 types of A that constitute the classification information SC for each date of the calendar information.
Which of the combinations of (I), B (I) and C (I) corresponds is given. Note that the classification information search table 30 stores auxiliary calendar information (here, lunar calendar month age data M
A) is also stored (moon age data storage means). The age data MA is a numerical value selected from, for example, any one of 1 to 28.

Looking at the classification information SC focusing on the second type classification data B (I) that defines the basic personality type, since there are only 12 types of B (I), the data of the same B (I) A plurality of combinations having different values of C (I) (or A (I) and C (I)) with respect to the value exist. Various forms of this combination are possible. For example, five different combinations of C (I) can be made to correspond to one B (I) data. Correspondences differing in the number of combinations depending on the values are adopted. Specifically, B01, B03, B05, B07, B09, B
11 has C02, C03, C05, C07, C08, C10, and B02, B04, B06, B08, B10, B12 have C01, C12.
04, C06, and C09 correspond respectively, and 6 × 6 + 6
× 4 = 60 types in total. Then, according to the value of C (I), each B (I) is further subdivided into 6 types or 4 types, thereby forming a hierarchical individuality type classification. That is, when focusing on C (I) and B (I), it can be considered that the classification information SC forms a parameter for determining the sub-individual type.

As shown in FIG. 20, the sub-characteristic characterizing character, which is additional character information for impressing the sub-character type in a manner corresponding to each classification information SC as the sub-character type determination parameter on a one-to-one basis. Information C # is stored in the characterizing character information table 55. Then, the sub-individual characterizing character information C # corresponding to each SC and the basic individuality image keyword B # corresponding to the value of B (I) of each SC are read from the image keyword table 54, and are synthesized. The sub personality image keyword W # is created. In this embodiment, the sub-individual characterizing character information C # employs a nominal modifier phrase, and is used as a character string added before the basic individuality image keyword B #, 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 CＳＣ of SC1 is “Neakano” +
"Wolf" becomes "Neaka Wolf". It should be noted that the sub-individuality image keyword W {
It is also possible to use the sub-individuality image keyword table 56 which stores this in association with each SC.

Returning to FIG. 18, in S53, the calendar information matching the date of birth of the set diagnosis reference information is searched in the classification information search table 30, the corresponding classification information SC is read out, and the memory 14c in FIG. In a predetermined area. Then, B (I) of the classification information SC is extracted and stored as a personality parameter in a predetermined area of the memory 14c.

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 one. A plurality of individuality factors that can be grasped as capturing the individuality of the same diagnostic subject from different viewpoints are defined in such a manner as to include one individuality factor, and each individuality factor is classified into the same type of individuality type. C that functions as a personality type determining unit and a personality diagnosis information creating unit
The PU 12 responds to the content of the input diagnosis reference information,
Determines the type of individuality type for each individuality factor, determines the individuality type corresponding to a specific one of a plurality of individuality factors as the basic individuality type, and corresponds to the individuality type determined for each individuality factor Create personality diagnosis information to be performed. 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, the individuality of a complicated human being can be grasped more accurately. become.

More specifically, in this embodiment, the individuality which is a basic individuality type (for example, the “essence” of a person to be diagnosed)
), Individuality (for example, “the surface” of the person to be diagnosed), individuality (for example, “will” of the person to be diagnosed), individuality (for example, “hope” of the person to be diagnosed)
Are determined. Then, for all of these individuality factors, the individuality types are classified according to the twelve types of second type classification data B having the same individuality, and each is associated with an image keyword having the same animal name as in FIG. That is, the same type of individuality keyword is assigned in a form corresponding to the individuality type belonging to each individuality factor on a one-to-one basis, and the individuality diagnosis information is created using the individuality keyword. It should be noted that since the image keyword alone or roughly reflects the content of individuality, it can be regarded as a kind of individuality diagnosis information.

According to this, while grasping the personality of one person from a plurality of 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 to associate it with the type. As a result, the whole picture of individuality can be grasped more easily. As a specific example, if the individuality factor is determined such that “essence (individuality)” is “wolf (B01)” and “surface (individuality)” is “sheep (B11)”, for example, “superficial” Although he seems to be attentive and has a mild personality (sheep personality), he is unique in nature and likes to lead to completion on his own, and has a strong will (wolf personality) " Thus, it is possible to clearly show the versatility hidden in the individuality of a human.

The parameters for specifying the personality to personality are determined in S55 to S57 in FIG. Details are as follows. First, the personality (“surface”) is determined by a combination of the information of the “month” 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. It is. 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. Note that B is a parameter having the same contents as B (I), but is represented as B (M) in distinction from B (I) in the sense that it is a function of each month on the calendar. I have. As described above, B (I) is determined corresponding to each calendar day, whereas B (M) is determined independently corresponding to each month.

Then, B corresponding to the “month” of the date of birth
(M) is determined on the table 44, and by referring to the individuality type determination table 46 shown in FIG.
The personality type information S corresponding to the combination with (I) is determined. The personality type information S is composed of separately classified second type classification information B (S) (12 types) and third type classification information C (S).
120 types are determined by a combination with (10 types) (also, although not shown, the first separation information A (S) is included like the SC). In this case as well, B (S) can be classified as a basic personality type, and (B (S), C (S)) can be classified as a sub-characteristic type.
Only two classes (B01 to B12: 12 animal names) are used as individuality parameters.

The individuality (“will”) is obtained by combining the information of the “year” of the date of birth contained in the diagnosis reference information with the third type classification information C (I) contained in the classification information SC. It is determined by In this case, as shown in FIG. 15, 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. In addition,
This B is represented as B (Y) in the sense that it is a function of each year on the calendar. B (Y) is B (I), B (M), B (S)
Is an independent parameter. Then, B (Y) corresponding to the "year" of the date of birth is determined on the table 44, and by referring to the individuality type determination table 48 shown in FIG. The personality type information W corresponding to the combination is determined. The personality type information W is obtained by combining a separately classified second type classification information B (W) (12 types) and a third type classification information C (W) (10 types).
Although 0 patterns are defined, in this embodiment, only 12 classes of B (W) (B01 to B12: 12 kinds of animal names) are used as individual parameters (not shown, One separation information A (W) is also included).

Finally, the personality (“hope”) is determined by the information of the birth time included in the diagnosis reference information and the classification information S described above.
It is determined by the combination with the third type classification information C (I) included in C. The birth time divides the cycle of the day into twelve time ranges of 2 hours each, and as shown in FIG. 15, the second type classification information B is associated with each time range,
This is stored in the form of a table 45. Note that B is a function of each time range, and B (T)
It is expressed as B (T) is B (Y), B (W), B (I), B
(M) and B (S) are independent parameters. Then, B (T) corresponding to the birth time is determined on the table 45, and FIG.
The personality type information H corresponding to 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 is determined by a combination of separately classified second type classification information B (H) (12 types) and third type classification information C (H) (10 types).
Although the street is determined, in this embodiment, one of B (H)
Only two classes (B01 to B12: 12 kinds of animal names) are used as individuality parameters (not shown,
First separation information A (H) is also included).

Referring back to FIG. 18, after each type of personality to individuality is determined, in S58 to S62, a plurality of types that are derived using one of the individuality factors, here, the type parameter of individuality, as derived diagnostic information. Derivation type is determined. Specifically, the parameters of each derived type are determined using the second classification information (basic individuality type parameter) B (I) included in the individuality classification information. In S58,
The characteristic 2 classification parameter K is determined. As shown in FIG. 14, by referring to the characteristic 2 classification determination table 41, one of the two values K1 and K2 of K is selected and determined according to the values of B01 to B12. Here, K1 means the individuality of the "future perspective type", and K2 means the individuality of the "past recollection type". In S59, left and right 2
The classification parameter Q is determined similarly in S60 by referring to the left and right two classification determination table 42 and the thinking two classification determination table 40 shown in FIG. Here, Q1 means "right brain type" individuality, and Q2 means "left brain type" individuality. In addition, J1 means "goal-oriented" personality, and J2 means "situation-responsive" personality.

Next, in S61, a rhythm parameter is determined. The rhythm will be described later. And S62
Now, the rail parameter determination table 52 shown in FIG.
The corresponding rail parameter R is determined according to the combination of the birth month BM in the diagnosis reference information and the age parameter MA. 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 diagnosis target person's behavior or thinking pattern. In this embodiment, a plurality (10 types) of rails corresponding to the value of the rail parameter R in a one-to-one correspondence are defined, and rail image keywords are respectively assigned (“My pace”, “My way”, “Peace”). "
“Roman”, “Humanity”, “Reality”,
"Wild", "Elite", "Unique", "Logic"). Thus, the diagnosis processing ends.

The above diagnosis result is stored in the diagnosis result memory 14e of FIG. The memory 14e includes a list display memory for storing output data of the result, a sort / search memory, a comment memory, a rhythm memory, a graph memory, and the like, and is appropriately selected and used according to an output form. On the other hand, as for the individuality-individuality parameters, the determined value of the second type classification information B is stored in the memory 14e and also written in the classification information search table 30 as shown in FIG. As a result, as described above, it is possible to select a personality to personality type parameter, which is a part of the diagnosis result, as a sort item or a search item. To describe a specific example of usage, if individuality is selected as a sort item, sorting is performed by the value of B (I) representing the type of individuality, that is, the animal name which is a basic individuality image keyword. If the individuality is selected as a search item and B01, that is, “wolf” is specified as the search target, the person to be diagnosed whose personality is “wolf” is searched.

When the diagnosis is completed, the output processing is performed. In the present embodiment, the obtained diagnosis results can be output in a list format and a detailed format for each item.
FIG. 22 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, a screen 250 shown in FIG. 23 is displayed. First, in S71, the B values (B (I), B (S), B (W), B (H)) of the individuality are read, and the individuality image keyword corresponding to each B value is
From the image keyword table 54 of FIG.
The image data of the corresponding image character (animal character) is stored in the image character database 5 shown in FIG.
7 is read. On the screen 250, "essence", "surface", "will", and "hope"
In the image keyword display areas 251 to 254 and the image character display areas 255 to 258 formed together with the names of the individuality factors, image keywords and image characters 110a to 110a to
Display 110d. Furthermore, regarding the sub-identity 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 S72, the A value (A (I), A
(S), A (W), and A (H)) are read, and image characters (celestial characters: earth, sun,
The image data of the full moon and the new moon (crescent character) is read from the image character database 59 of FIG. Then, the image character display area 259
262 to 262 display celestial image characters 115a to 115d based on the read data.

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 keywords are assigned to the corresponding areas 263 to 267, respectively. To be displayed. The area 222 is for displaying the name and date of birth of the person to be diagnosed.

When the user wants to print the above result, the user can click the print soft button 269 with a mouse to print out the result on the printer 6 (FIG. 1) (S7).
5, S76). The output data for the above list display is
It is stored in the list display memory of the memory 14e in FIG.

On the other hand, as for the details of the diagnosis result, various comments can be output. FIG. 24 is a flowchart showing the flow of comment output processing relating to personality (essentiality). In S80, the personality comment output screen is selected by clicking the mouse. Then, a screen 280 shown in FIG. 25 is displayed. The comment is an image comment (basic personality diagnosis comment) corresponding to the basic personality type,
Two types, a detailed comment corresponding to the sub-characteristic type, are displayed. Among them, the image comment data is shown in FIG.
As shown in (1), the image comment database 58 is stored in a form associated with the second type classification information B (I). On the other hand, the detailed comment is stored in the detailed comment database in a form associated with the classification information SC (sub personality type determination parameter), as shown in FIG.
Specifically, a basic comment M for men and a basic comment F for women are individually stored as basic comments.

In this embodiment, the classification information S
Read the value of B (I) as the basic type determination parameter in C, and select the corresponding basic comment M (for men) or basic comment F (for women: content is different from that for men) according to gender (FIG. 24: S81 to S8)
5). Then, the data of the image character and the image comment corresponding to B (I) are read, and the respective display windows 281 and 282 are read as shown in FIG.
Then, the image character 110a and the image comment 111a as the basic personality diagnosis comment are displayed in a form associated with each other (S86, S87). As can be seen from the comment text in the figure, the image comment 11
1a is an image keyword (basic image keyword:
In this case, it is created by using “Tanuki” (B08). On the other hand, basic comment 1 which is a sub-character diagnosis comment
No. 12 is displayed in the window 283 on the same screen 280 in a form corresponding to the above-mentioned mage character 110a and image comment 111a (S88).
This basic comment 112 is also created using the basic image keyword. When printing the above comment, the print output is executed by clicking the print soft button 293 with the mouse (S89, S90). At the time of comment output, comment data is stored in the comment memory of the memory 14e in FIG.

On the other hand, FIG. 26 shows a flow of comment output from individuality to individuality. Also in this case, the image of the image character corresponding to the second type classification information B (B (S), B (W), B (H)) and the image comment (FIG. 21)
Are output in such a manner that they are associated with each other. However, as shown in FIG. 16, separate comment data 47, 49, and 51 may be prepared for each of the individuality to the individuality, and a comment may be output using this. In this embodiment, as shown in FIG. 27, only the individuality (front surface) and the individuality (will) are displayed using the dedicated screen 290.
Image comment 11 corresponding to each of (S) and B (W)
1b and 111c are replaced by the image characters 110b and 1
Window 291 in the form corresponding to 10c
To 294. A print execution command is issued by clicking the soft button 295 with the mouse.

Note that it is also possible to prepare detailed comments for each genre, select a desired genre as appropriate, and output a corresponding genre comment. FIG. 28 shows the flow of the processing, and is described in S110.
Then, for example, a comment output screen 300 for each genre as shown in FIG. 32 is displayed. On this screen 300, selectable comment genres are displayed, and can be selected by corresponding soft buttons 301. Then, in S111 of FIG.
To select a desired genre. Then, from the comments A, B, and C stored in the detailed comment database 60 for each genre, the selected genre (and classification information SC: image comments may be prepared for each genre) is selected. The corresponding one is read out and output to the screen 302 of FIG. 32 (S112
To S117).

FIG. 31 shows an example of genre settings and comment contents. Here, the genre is set in consideration of the type of information required, the use condition of information, the purpose of use of information, and the like for each scene of various interpersonal events.
For example, in the “action check” of genre 1, a comment is output to check whether or not one's own behavior is easily accepted from the viewpoint of the personality of the diagnosis target, before an interpersonal event with the diagnosis target is output. Is done. In the case of “taboo” of genre 3, a comment is output to the person to be diagnosed, suggesting what kind of action should not be performed (or should not be performed).

As shown in FIG. 30, the basic comments (M comment, M comment 基本, F comment, F
Comment ‥) and comments by genre (genre A,
The genre B 用意) may be prepared so that it can be appropriately selected and output.

FIG. 19 shows an output example of the rail diagnosis result. That is, an image keyword display area 241 and a comment display window 242 are formed on the rail display screen 240. In the image keyword display area 241, an image keyword corresponding to the value of the rail parameter R is displayed. FIG.
The comment corresponding to the rail parameter R is read out from the rail comment database 53 shown in FIG. 7 and displayed in the comment display window 242. In this case as well, by preparing comments for each genre such as genre α, genre β ‥, etc., comment output for each genre becomes possible.

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 indicating the correspondence between the calendar information indicating the date and the personality type. By referring to the decision table, select the personality type corresponding to the date of birth of the subject
I had to decide. In the individuality diagnosis of such a method, it is not necessary to analyze the actual behavior and pattern of the person to be diagnosed, and the diagnosis result information is prepared, for example, by preparing a predetermined comment group, 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 result obtained in accordance with such a method is valid (that is, whether or not the personality is actually correct). Here, it is clearly stated that the quality of the comment data is greatly affected. In this regard, the inventor's view is described below. First, the relationship between the date of birth or birth and the personality (individuality) formation of an individual may be questioned on the scientific basis, but this is not related to the gist of the present invention, so it should not be considered. This is not a problem to be discussed here. However, the calendar on the earth is determined based only on pure astrophysical phenomena, that is, the movement of the earth around the sun at a fixed cycle, that is, the celestial movement in the solar system, such as birth date or birth time Are 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, and this is the individual It is natural to think that it has also influenced the formation of personality and personality more or less.

However, as is apparent from the fact that it took thousands of years for the essence of astronomical motion to be ascertained, the influence of such astronomical motion is hardly conscious in daily life. In other words, even if celestial movements affect the formation of individuality, etc., it should be extremely subtle, and it is extremely difficult to clarify the causal relationship without contradiction from the viewpoint of natural science. Or near impossible. Naturally, in ancient times, where understanding of nature was inadequate, various wrong theories prevailed, such as fate tests that should have been unpredictable (for example, one of identical twins born on the same day and time died in an accident). ,
It is not uncommon to follow 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), "fortune-telling" means "questioning the will of the god by occupation, and judging and predicting the future ills", that is, essentially the same meaning as fate assessment. In this sense, "divination" in this sense is completely different from the essence of individuality diagnosis in the present invention.

The present inventor believes that which of various views, including those transmitted from ancient times, is correct can be evaluated only by performing statistical analysis after all. Conversely, some of the historically old views and theories could survive to the present, as a result of natural selection and statistical relevance after natural selection. You can think of it. However, the number of views that have been made or newly proposed on personality analysis are extremely large, and the proportion of those that lack validity is large. 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 the individuality diagnosis. It can be said that. In simple terms, this means that "hit comments are adopted, and non-hit comments are not adopted."

In this case, in the system of the present invention, 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 a birth date of the person to be diagnosed. Search means for searching the personality diagnosis comment corresponding to the personality type determined according to the basic personality diagnosis comment storage means, and the personality diagnosis information output means outputs the personality diagnosis comment as basic personality diagnosis information, As the individual diagnosis comment stored in the individual diagnosis comment data storage means, it is possible to adopt a configuration in which those selected in accordance with the hit probability of the comment contents of a plurality of past diagnostic subjects are used.

The selection of the comments can of course be performed by the user of the system on the basis of the accumulation of the diagnosis results and the evaluation feedback. However, providing a function to support this on the system side is more convenient, and the probability of hitting a comment can be further increased. Specifically, regarding the output contents of the individuality diagnosis comment, the hit evaluation information input means for inputting hit evaluation information necessary for the hit evaluation, and the input hit evaluation information is stored and accumulated. A hit evaluation information storage means, a hit evaluation means for statistically processing the accumulated contents of the hit evaluation information, and a hit evaluation of a corresponding personality diagnosis comment based on the processing result; Output means for performing a predetermined output relating to deletion or change of the content of the corresponding individuality diagnosis comment according to the evaluation result may be provided. Hereinafter, a specific example will be described.

For example, as shown in FIG. 43, a hit counter CP and a departure counter CN for evaluating whether or not a comment content is hit are associated with individual comments 1, 2, 3}. Comment evaluation counter memory 14
f (FIG. 3) is formed in the RAM 14. Then, using this, the comment update processing shown in FIG. 42 is performed. In S160, every time one comment output ends,
A comment evaluation window 370 as shown in FIG. 44 is displayed. Here, for example, a message such as “Do you think this comment has hit” is displayed, and the evaluation button 371 is used to display, for example, “Yes (comment contents are appropriate)”.
Alternatively, "No (comment content is unreasonable)" is selected. In the former case, the hit counter CP is incremented, and in the latter case, the CN is incremented (above, S161 to S165).

In order to perform a statistically accurate evaluation, it is necessary to accumulate a certain amount of evaluation results.
That is, the comment is not updated until CP + CN reaches a certain number Nc. If this value reaches Nc, the ratio Ev = N / (CP + CN) of the number of times of departure is calculated (S166, S167). In this case, it is possible to simply output a notification display prompting an update, or to display /
A comment correction window (not shown) that can be corrected may be displayed to support the update input. Also,
It is also possible to automatically delete the comment. Here, it is selected whether or not to perform manual update input (S16).
9) When the manual update is performed, the update input is supported by the comment correction window (S170), and when not, the comment is automatically deleted (S171).

In addition, the evaluation of the comment is 3 or more, such as "very hit", "approximately hit", "neither can be said", "somewhat off", "all off", etc. The evaluation may be performed in a plurality of stages, or the validity may be scored. Further, the comment may be divided into several parts, and the evaluation may be performed for each part.

Hereinafter, the individuality diagnosis information providing system 1 (10
Two more modes regarding the diagnostic result output of (0) will be described. (Rhythm display processing) CPU1 as individuality diagnostic information creating means
Reference numeral 2 is to create rhythm information that suggests a change over time in the living state of the diagnosis target person as personality diagnosis information in a form corresponding to a predetermined time or period in the past, present, or future. According to this, the rhythm information adds a time-dependent factor to the content of the individuality analysis, and a suggestion about the time-dependent change in the living condition of the subject can be obtained. This can be used effectively.

It is considered that the personality of a person is not life-long and has a periodic change behavior, that is, a rhythm. Rhythm information can be considered to reflect changes in living conditions based on such periodic variations in personality. Note that 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 in a form in which the living condition parameter is applied to each of a plurality of predetermined times or periods. Can be. In this case, if the rhythm information is output in the form of a rhythm transition graph representing the relationship between a plurality of times or periods and the corresponding numerical values of the living state parameters by digitizing the living state parameters, the rhythm information can be visually represented. It can be grasped in an easy-to-understand manner, and the transition over time of the living condition can be more easily understood.

It should be noted that any algorithm for generating the rhythm information may be employed, but it should be noted that the gist of the present invention is that the content of the obtained rhythm information is determined by the validity (actually, ) Has no relation to it, and it is important to find the optimal algorithm through statistical analysis. In the following, an example of an algorithm for generating rhythm information will be described.

The data used to determine the contents of the rhythm information is as shown in FIG. Also in this case, the above-described classification information SC (see FIG. 4) uniquely determined by the date of birth of the person to be diagnosed, particularly, the third classification information C (I) is used. The rhythm determination pattern is determined to be either rhythm A or rhythm B according to the value of C (I) by referring to the rhythm pattern selection table 62. If determined, the rhythm level data L (= L11, L12, L
21, L22} are arranged in a fixed order to generate a rhythm pattern. 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 numerical value of the counter CA. Then, by changing the time span of the entire arrangement, for example, to a plurality of years, one year, one month, one day, etc., it is possible to generate rhythm information of various periods.

Each of the rhythm level data L includes an image keyword representing a living state (here,
"Invest", "complete", "transform", "learn", "organize",
The ten types of “waste”, “activity”, “frustration”, “adjustment”, and “result” are associated with the level values for graphing, and stored as the level conversion table 64.
Further, comment data corresponding to the individual rhythm level data L is stored in the rhythm comment database 65 for each time span of the entire arrangement. "Living conditions"
This concept broadly covers matters related to an individual's way of life, including psychological conditions and reactions to the surrounding environment. For example, regarding the meaning of “conversion”, see comment 12 in FIG.
2 for the meaning of “activity”, the contents of the comment 124 in FIG. 37, and FIG.
8, please refer to the contents of the comment 126.

The flow of the process is shown in the flowchart of FIG. First, in S120, the rhythm determination pattern is determined to be one of A and B using the rhythm pattern selection table 62 with reference to the contents of the third classification information C (I) of the diagnosis subject. In step S121, the rhythm pattern generation table 63 is used to set the time span between adjacent Ls to one day according to the rhythm pattern selected by adding L21 (activity) to the birthday in the calendar day arrangement. Generate information (rhythm of January). This means that each L of the rhythm determination pattern is one-to-one corresponding to the calendar day array, and the phase of the rhythm pattern that is repeated every ten days on the calendar day array is determined by the birthday of the subject. Means that L21 corresponds to. The determined rhythm information for January is stored in the rhythm memory (month) of FIG.

In S122, a year corresponding to the birthday B (I) is searched for with reference to the table 43 (year-B (Y)) in FIG. In accordance with the pattern, rhythm information (annual rhythm) in which the time span between adjacent Ls is one year is generated. The determined rhythm information for each year is stored in the rhythm memory (every year) in FIG.

In S123, a month matching the birthday B (I) is searched for with reference to the table 44 (month-B (M)) in FIG. 15, and this month is selected by applying it to L21 (activity). In accordance with the pattern, rhythm information (annual rhythm) with the time span between adjacent Ls being set to January is generated. The information of the determined annual rhythm is stored in the rhythm memory (annual) of FIG.

In S124, a time range that matches the birthday B (I) is searched for by referring to the table 44 (time range-B (T)) in FIG. 15, and this time range is applied to L21 (activity). Then, according to the selected pattern, rhythm information in which the time span between adjacent L is 2 hours (rhythm of the day)
Generate The determined rhythm information for one day is stored in the rhythm memory (day) of FIG.

Then, in S125, the calendar clock 7 (FIG. 1) is read, and by referring to each rhythm information,
L of year (applied to annual rhythm information), month (applied to annual rhythm information), day (applied to January rhythm information) and time range (applied to daily rhythm rhythm information) indicated by calendar clock 7 Read the value,
The corresponding image keyword is read out with reference to the level conversion table 64. This is displayed in the display area 314 on the rhythm information display screen 250 shown in FIG. Further, a calendar input tool 313 similar to that of FIG. 9 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.

Then, when it is desired to output the rhythm information as a graph, one of the graph display soft buttons 315 to 317 is clicked with the mouse (S126). Then, S12
7, the rhythm information for any one of the periods (every 12 years), the year (1 year), the month (1 month), and the day is read, starting from the reference date. Using the level conversion table 64 of FIG. 33, each L value of the rhythm information is digitized, and a graph is output, for example, with the level value set on the vertical axis and the time axis set on the horizontal axis. In addition, 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, for example, a graph.

FIG. 36 is an example of a display screen 330 of rhythm information for a lifetime and year, and a graph display window 331 is shown.
And 332 each show a rhythm graph 120 of a lifetime.
And a rhythm graph 121 of the year is displayed. In the comment display window 333, a comment corresponding to the L value of the year is displayed. "Close" button 3
When 35 is clicked, the screen returns to the screen 310 in FIG. 35, and when the print button 334 is clicked, the graph is printed out. FIG. 37 is an example of a display screen 340 of the rhythm information of January, in which a graph 123 of the rhythm of January is displayed in a graph display window 341. In the comment display window 342, a comment corresponding to the month L value is displayed. The functions of the “close” button 344 and the print button 343 are the same as those in FIG. Further, FIG. 38 is an example of a display screen 350 of the rhythm information of the day, and a graph 125 of the rhythm of the day is displayed in the graph display window 351. In the comment display window 352, a comment corresponding to the L value of the day is displayed. The functions of the “close” button 354 and the print button 353 are the same as those in FIG.

(Compatibility Diagnosis) C as the individuality diagnosis information creating means
The PU 12 creates compatibility diagnostic information, which is information relating to personality compatibility between the two, based on the diagnostic reference information of the person to be diagnosed and the diagnostic reference information of the compatibility diagnostic partner as personality diagnostic information. FIG. 40 shows an example of the processing flow. In order to perform compatibility diagnosis, it is basically necessary to set diagnosis reference information of two diagnosis subjects, but these can be set independently of each other, or the diagnosis processing of a single subject already described ( 18), the diagnosis reference information of the diagnosis target is fixedly set,
The diagnosis reference information of the compatibility diagnosis partner may be set to be changeable. The following description is based on the latter method.

That is, assuming that the diagnosis reference information of one diagnosis target person (hereinafter, referred to as the subject person) has already been input in the processing of FIG. 18, in S130 of FIG. Input. FIG.
As shown in FIG. 13, a diagnosis subject list 365 is displayed in the compatibility diagnosis screen 360, and the selection, sorting, and search of the diagnosis subjects can be performed in exactly the same manner as the data input / list display screen of FIG. The processing flow is exactly the same as in FIG. 11 and FIG. 12).

Here, similarly to the rhythm information, the algorithm of the compatibility diagnosis on personality is not limited, but the gist of the present invention has no relation to the validity of the obtained compatibility diagnosis result (whether or not the result is actually correct). Instead, it is important to find the optimal algorithm through statistical 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 predetermined diagnosis comment is output according to the value of the compatibility matching parameter MP. It is supposed to be. 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. It is stored (S131). And the compatibility matching parameter MP
Is calculated as the number of days between two moons (S13
2). More specifically, in the lunar calendar, one month is defined as 28 days of the lunar cycle, and MA = 1 after MA = 28.
The numerical sequence is repeated periodically in the form of returning to. Therefore, if Mk = 12 and Mk = 28, the number of days on the moon cycle is 12 days. Although the algorithm for calculating this is not particularly limited, for example, J1 数 値 ML−
Assuming that MS, J2≡28−ML + MS, the larger one of J1 and J2 can be set as the number of days apart, that is, the compatibility matching parameter MP.

As shown in FIG. 39, comments to be output are prepared for each value of the compatibility matching parameter MP. Here, basic comments and genre-specific comments (genre μ, genre ジ ャ ン ル) are used. . FIG.
In S134, first, a basic comment corresponding to the MP is read and output to the comment output window 367 in FIG. 41 (367). On the other hand, a genre selection soft button 369 is formed on this screen 360, and a desired genre is selected using this button. Then, a genre-specific comment corresponding to the selected genre is read and output to the comment output window 367 (S
135 to S139: However, in the figure, displays other than the genre μ and the genre ξ are omitted). If the user wants to print the result, the print software button 370 may be clicked with the mouse.

Note that FIG. 19, FIG. 23, FIG. 25, FIG.
In the case where the details of the individuality diagnosis information output using the respective screens of FIGS. 35, 36, 37, 38, and 41 are collectively printed out, the collective print soft button 237 formed on each screen is displayed. By clicking with a mouse, the printer 6 shown 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.

Next, each component (means) of the personality diagnosis information providing system 1 shown in FIG. 1 is configured as a somewhat closed system comprising a computer and peripheral devices directly connected to the computer. It is also possible to dispersely arrange each component (means) in a host device connected via a communication network and a terminal connected thereto. FIG. 45 shows an example thereof.

That is, the personality diagnosis information providing system 150 having this configuration is provided with a communication network 702 such as the Internet.
And a host device 700 connected thereto via a modem 701 as transmitting / receiving means, and a plurality of terminals 703 connected via a modem 752 also as transmitting / receiving means. Hereinafter, the same components as those in FIG. 1 are denoted by the same reference numerals, and the description thereof will be omitted. Only the differences will be mainly described.

First, the main part of the host device 700 is configured almost in the same way as the computer of FIG. 1, and the hard disk drive 810 as a fixed storage device has the same programs and databases (FIG. 1) as those of the system 1 of FIG. 4,
5, 6, 14, 15, 15, 16, 17, 2
0, FIG. 21, FIG. 29, FIG. 30, FIG. 31, and FIG. 33). However, the difference from the apparatus of FIG. 1 is that the user inputs information (data) necessary for each process from the terminal 703 connected via the communication network 702. Each terminal 703 has an I /
O port 751 and CPU 754 and RO connected to it
It is configured as a computer including an M755 and a RAM 756, and the keyboard 806 and the mouse 807 as the above-mentioned input means are connected to the I / O port 751. Further, a printer 812 and a monitor 813 as output means are also connected to the I / O port 751.

Then, the keyboard 806 on the terminal 703 side
Or information input by the mouse 807 (ie,
7 are transmitted to the host device 802 via the communication network 702, where the application program (similar to FIG. 1), FIG. 18, FIG.
The processing shown in FIG. 24, FIG. 26, FIG. 28, FIG. 34, FIG. Then, as a result of the processing (for example, S72 to S73 in FIG. 22, S86 to S88 in FIG.
6, S102 to S103, S113 and S11 in FIG.
5, S117, S125 and S127 in FIG. 34, S138 and S140 in FIG. 40) are transmitted to the accessed terminal 703 via the communication network 702, and the terminal 703 is transmitted there.
Is output to the printer 812 through the monitor 813. Note that it is convenient to provide the terminal 703 with a hard disk drive 753 for downloading the result of the above processing.

[Brief description of the drawings]

FIG. 1 is a block diagram showing an example of an electrical configuration of an individuality diagnosis information providing system according to the present invention.

FIG. 2 is a block diagram showing an example of a case where this is configured to be portable.

FIG. 3 is an explanatory diagram showing a memory configuration in a RAM in the configuration of FIG. 1 or FIG. 2;

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 a 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 a data input / registration process.

FIG. 8 is an explanatory diagram showing an example of an input screen using a touch panel.

FIG. 9 is an explanatory diagram showing an example of a calendar input window.

FIG. 10 is an explanatory diagram showing an example of a data input / list display screen.

FIG. 11 is a flowchart illustrating a flow of a sorting process.

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

FIG. 13 is an explanatory diagram showing an example of a data input / list display screen after sorting.

FIG. 14 is an explanatory diagram showing some tables used for determining a derivative type.

FIG. 15 is an explanatory diagram showing some classification information tables used for determining different individuality factors.

FIG. 16 is an explanatory diagram showing some determination tables for different personality factors.

FIG. 17 is an explanatory diagram showing a rail parameter determination table and a comment database.

FIG. 18 is a flowchart illustrating the flow of a diagnosis process.

FIG. 19 is an explanatory diagram showing an example of an output screen of a rail diagnosis result.

FIG. 20 is an explanatory diagram showing an example of a determination table for basic individuality image keywords and sub-individuality image keywords.

FIG. 21 is an explanatory diagram showing an example of image data of an image character.

FIG. 22 is a flowchart showing the flow of a diagnostic result list output process.

FIG. 23 is an explanatory view showing an example of the display screen.

FIG. 24 is a flowchart illustrating a flow of a personality comment output process of a diagnosis result.

FIG. 25 is an explanatory diagram showing an example of the display screen.

FIG. 26 is a flowchart showing the flow of individuality of a diagnosis result to comment output processing.

FIG. 27 is an explanatory view showing an example of the display screen.

FIG. 28 is a flowchart showing the flow of a comment output process for each category of a diagnosis result.

FIG. 29 is an explanatory view showing an example of a database of comments by genre.

FIG. 30 is an explanatory view showing another example.

FIG. 31 is an explanatory diagram showing examples of genres and comments.

FIG. 32 is an explanatory diagram showing an example of a genre selection screen and a comment output screen.

FIG. 33 is an explanatory diagram showing an example of a table used for generating rhythm information.

FIG. 34 is a flowchart showing the flow of a rhythm display process of a diagnosis result.

FIG. 35 is an explanatory diagram showing an example of a rhythm information display screen.

FIG. 36 is an explanatory diagram showing a first example of the graph and comment output screen.

FIG. 37 is an explanatory view showing a second example.

FIG. 38 is an explanatory view showing a third example.

FIG. 39 is an explanatory view showing an example of a comment database for compatibility diagnosis.

FIG. 40 is a flowchart showing a flow of compatibility diagnosis processing of a diagnosis result.

FIG. 41 is an explanatory view showing an example of a result output screen.

FIG. 42 is a flowchart illustrating an example of the flow of a comment update process.

FIG. 43 is an explanatory view showing the contents of a comment evaluation counter memory.

FIG. 44 is an explanatory view showing an example of a comment evaluation window.

FIG. 45 is a block diagram illustrating an example of a hardware configuration of a personality diagnosis information providing system using a communication network.

[Explanation of symbols]

1,100 individuality diagnosis information providing system 2 keyboard (diagnosis reference information setting means, diagnosis reference information selection means, diagnosis reference information input means, search information input means,
Genre selection means, hit evaluation information input means) 3 mouse (diagnosis reference information setting means, diagnosis reference information selection means, diagnosis reference information input means, search information input means, genre selection means, hit evaluation information input means) 5 CD -ROM (recording medium) 6 Printer (personality diagnosis information output means) 12 CPU (diagnosis reference information setting means, personality type determination means, basic personality image keyword selection means, personality diagnosis information creation means, basic personality diagnosis information creation means, Individuality diagnosis 16 IC card (recording medium) 19 Touch panel (diagnosis reference information setting unit, diagnosis reference information selection unit, diagnosis reference information input unit, search information input unit, genre selection unit, hit evaluation information input unit) 21 Monitor (image) Character image output means, diagnosis target list display means, search result display means, individuality diagnosis information output means 22 permanent memory (basic personality diagnostic comment data storing means, image character image data storage means, secondary personality diagnosis comment storage means, diagnostic reference information storage unit, predictive evaluation information storing means)

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[Procedure amendment]

[Submission date] August 10, 2000 (2008.1.
0)

[Procedure amendment 1]

[Document name to be amended] Statement

[Correction target item name] Claims

[Correction method] Change

[Correction contents]

[Claims]

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Eika Tokai 1569 Kubo, Himi-shi, Toyama F-term (reference) 5B049 BB00 CC00

Claims (26)

[Claims] 1. A diagnostic reference information setting means for setting diagnostic reference information unique to each person to be diagnosed, which is information necessary for specifying individual diagnosis contents, and a predetermined number of personality diagnosis results to be obtained. Are classified into a plurality of personality types in a hierarchical format including a basic personality type and a sub-characteristic type that further subdivides the basic personality type, and the corresponding basic personality type is set according to the content of the set diagnostic reference information. Personality type determining means for determining a type and a sub-characteristic type respectively; basic personality diagnosis comment data storage means for storing a basic personality diagnosis comment corresponding to the basic personality type on a one-to-one basis; an animal impressing each basic personality type A basic personality image keyword selecting means for selecting a basic personality image keyword corresponding to the determined basic personality type from a plurality of basic personality image keywords consisting of names, Using a basic personality diagnosis comment corresponding to the basic personality type determined by the determining means, a basic personality diagnosis information creating means for creating basic personality diagnosis information, each of which is determined in a one-to-one correspondence with the sub personality type, and In the basic individuality image keywords consisting of animal names,
A sub-individuality diagnosis information creating means for creating sub-individuality diagnostic information including a sub-individuality image keyword to which sub-individuality characterizing character information, which is additional character information individually impressing the sub-individual type, An individuality diagnosis information providing system, comprising: individuality diagnosis information output means for outputting individuality diagnosis information and sub-individuality diagnosis information in a form correlated with a selected basic individuality image keyword. 2. A diagnostic reference information setting means for setting diagnostic reference information unique to each person to be diagnosed, which is information necessary for specifying the contents of individuality diagnosis, and a predetermined number of individuality diagnosis results to be obtained. Are classified into a plurality of personality types in a hierarchical format including a basic personality type and a sub-characteristic type that further subdivides the basic personality type. Depending on the content of the input diagnosis reference information, the corresponding basic personality type is classified. Individuality type determining means for determining the type and sub-individuality type respectively, and basic individuality image keyword selecting means for selecting one corresponding to the determined basic individuality type from a plurality of basic individuality image keywords impressing each basic individuality type And personality diagnosis information creation for creating basic personality diagnosis information corresponding to the determined basic personality type and sub- individuality diagnosis information corresponding to the determined sub- individuality type Means for outputting the created basic individuality diagnostic information and sub-individuality diagnostic information in a form associated with the selected basic individuality image keyword. Individuality diagnosis information providing system. 3. Image character image data storage means for storing image character image data corresponding to the basic personality type, reading out image character image data corresponding to the basic personality diagnosis information, and forming an image character image based on the image character image data. 3. The personality diagnosis information providing system according to claim 1, further comprising: an image character image output unit configured to output the image data in association with the basic personality diagnosis information. 4. A personality diagnosis comment data storage means for storing a basic personality diagnosis comment corresponding to each basic personality type, wherein said personality diagnosis information creating means corresponds to the basic personality type determined by said personality type determination means. The personality diagnosis information providing system according to claim 2 or 3, wherein the personality diagnosis information is created using a basic personality diagnosis comment to be made. 5. The personality diagnosis information providing device according to claim 2, wherein the sub-characteristic diagnosis information includes a sub-characteristic image keyword defined corresponding to each of the sub-characteristic types on a one-to-one basis. system. 6. The sub-individuality image keyword 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 keyword. Described personality diagnosis information providing system. 7. The personality diagnosis information creating unit includes a sub- individuality diagnosis comment storage unit that stores a sub-individuality diagnosis comment corresponding to each of the sub-individuality types on a one-to-one basis. 2. The sub-individuality diagnosis information is created using a sub-individuality diagnosis comment corresponding to the sub-individuality type determined by the individuality type determining means.
7. The personality diagnosis information providing system according to any one of claims 6 to 6. 8. A diagnosis reference information input means for inputting the diagnosis reference information, and for a plurality of diagnosis targets, the input diagnosis reference information corresponds to target person identification information for specifying each diagnosis target. Diagnostic reference information storage means for storing in a form attached thereto; and diagnostic reference information selecting means for selecting diagnostic reference information stored in the diagnostic reference information storage means, wherein the diagnostic reference information setting means comprises: 8. The diagnostic reference information used for individuality diagnosis is set based on input of diagnostic reference information by an input unit or selection of diagnostic reference information stored in the diagnostic reference information storage unit. Personality diagnosis information providing system described in 1. 9. A diagnosis target list display means for displaying a list of the target person specifying information and the diagnosis reference information in association with each other in order to support selection of the diagnosis reference information. Personality diagnosis information providing system. 10. A search information input means for inputting a search condition for searching for the diagnosis target person, and a diagnosis for searching a diagnosis target person corresponding to the input search condition in the diagnosis reference information storage means. The personality diagnosis information providing system according to claim 8, further comprising: a subject person search unit; and a search result display unit that displays the search result. 11. Diagnosis reference information input means for inputting diagnosis reference information unique to each person to be diagnosed, which is information necessary for specifying individual diagnosis contents, and information necessary for specifying individual diagnosis contents. , Specific diagnostic reference information for each diagnostic subject,
Diagnosis reference information storage means for storing in association with target person specifying information for specifying each diagnosis target person; and the target person specifying information and the diagnosis reference for supporting selection of the diagnosis reference information Diagnosis target person list display means for displaying a list in a form in which information is associated with each other, search information input means for inputting search conditions for searching for the diagnosis target, and corresponding to the input search conditions Diagnosis target person search means for searching the diagnosis target person in the diagnosis reference information storage means, search result display means for displaying the search result, input of diagnosis reference information by the diagnosis reference information input means,
Diagnosis reference information setting means for setting diagnosis reference information to be used for individuality diagnosis based on one of selection of diagnosis reference information stored in the diagnosis reference information storage means and search by the diagnosis subject search means. Individuality diagnosis results to be classified into a plurality of personality types, personality type determination means for determining a personality type corresponding to the content of the set diagnosis reference information, and personality diagnosis information corresponding to the determined personality type And a personality diagnosis information output means for outputting the generated personality diagnosis information. A personality diagnosis information providing system, comprising: 12. The diagnosis reference information storage means stores at least a part of a personality diagnosis result of each person to be diagnosed, and the search information input means inputs a search condition including personality diagnosis contents as information. The diagnosis subject search means is configured to search for a diagnosis subject whose personality diagnosis result matches the information of the personality diagnosis content included in the input search condition. 11
Personality diagnosis information providing system described in 1. 13. The personality diagnosis information providing system according to claim 12, wherein the search condition includes a personality image keyword defined corresponding to a personality type as the information on the personality diagnosis content. 14. A plurality of individuality factors that are grasped as capturing the individuality of the same subject from different viewpoints are defined, and each individuality factor is classified into the same type of individuality type. The determining means determines the type of the individuality type for each individuality factor according to the content of the input diagnostic reference information, and sets the individuality type corresponding to a specific one of the plurality of individuality factors to the basic individuality type. 14. The personality diagnosis information according to claim 1, wherein said personality diagnosis information creating means creates personality diagnosis information corresponding to a personality type determined for each individuality factor. Information system. 15. The same type of individuality keyword is assigned in a form corresponding to each individuality type belonging to each individuality factor on a one-to-one basis, and the individuality diagnosis information is created using the individuality keyword. The personality diagnosis information providing system according to claim 14. 16. The personality diagnosis information creating means creates personality diagnosis information for each of a plurality of genres set according to a type of information, a use condition of information, a use purpose of information, and the like. 16. The personality diagnosis information providing system according to claim 1, wherein the information output means outputs the created personality diagnosis information for each genre. 17. A diagnostic reference information setting means for setting diagnostic reference information unique to each person to be diagnosed, which is information necessary for specifying the diagnosis content of the individuality or personality, and a personality diagnosis result to be obtained includes a plurality of individuality diagnostic results. Individuality type determination means for determining the corresponding individuality type in accordance with the content of the set diagnosis reference information, and personality diagnosis information corresponding to the determined individuality type, information type, A personality diagnosis information creating unit that creates a plurality of genres according to a use situation of information, a use purpose of the information, and the like; and a personality diagnosis information output unit that outputs the created personality diagnosis information by genre. An individuality diagnosis information providing system, comprising: 18. The personal diagnosis information output means according to claim 16 or 17, further comprising a genre selection means for selecting a genre of the required personality diagnosis information, wherein said personality diagnosis information output means outputs personality diagnosis information of the selected genre. Described personality diagnosis information providing system. 19. The diagnosis reference information includes at least information on the date of birth of the person to be diagnosed, and the personality type determining means determines the correspondence between the calendar information indicating the date and the personality type. 18. The personality diagnosis information providing system according to claim 1, wherein the personality type corresponding to the date of birth of the person to be diagnosed is selected and determined by referring to a type determination table. 20. The personality diagnosis information creating means, wherein the personality diagnosis comment data storage means for storing personality diagnosis comments corresponding to each personality type on a one-to-one basis, and wherein the personality diagnosis information creation means is determined according to the date of birth of the person to be diagnosed. Comment search means for searching the personality diagnosis comment corresponding to the personality type in the basic personality diagnosis comment storage means, wherein the personality diagnosis information output means outputs the personality diagnosis comment as the basic personality diagnosis information Wherein the personality diagnosis comment stored in the personality diagnosis comment data storage means is selected according to the probability of hitting the comment content of a plurality of past diagnostic subjects. 19. The personality diagnosis information providing system according to item 19. 21. A hit evaluation information input means for inputting hit evaluation information, which is information necessary for hit evaluation, with respect to output contents of the individuality diagnosis comment, and storing the input hit evaluation information. Hit evaluation information storage means to be accumulated, hit evaluation means for statistically processing the accumulated contents of the hit evaluation information, and hit evaluation of the corresponding personality diagnosis comment based on the processing result; 21. The personality diagnosis information providing system according to claim 20, further comprising: an evaluation correspondence output unit configured to perform a predetermined output related to deletion or change of the content of the corresponding personality diagnosis comment according to the medium evaluation result. 22. The personality diagnosis information creation means,
22. Rhythm information that suggests a change over time in the life state of the diagnosis subject in a form associated with a predetermined time or period in the present or future is created as the individuality diagnosis information. The personality diagnosis information providing system according to any one of the above. 23. The living condition is represented by a plurality of living condition parameters each representing a different living condition, and the rhythm information includes a living condition parameter at each of a plurality of predetermined times or periods. 23. The personality diagnosis information providing system according to claim 22, wherein the personal diagnosis information providing system is described in a form to which the following is applied. 24. The personality diagnosis information output means, by digitizing the living state parameter, forms a rhythm transition graph representing the relationship between the plurality of times or periods and the corresponding numerical value of the living state parameter. 24. The personality diagnosis information providing system according to claim 23, which outputs rhythm information. 25. A CPU, a built-in power supply, a display section for visually outputting data, an input section for performing a predetermined input, and necessary data and programs in a state where the CPU can read the data. A function of the personality diagnosis information providing system according to any one of claims 1 to 25, wherein a hardware is configured by a portable terminal device in which a storage device for storing and a case are integrally assembled with a case. A portable personality diagnosis information providing system, wherein a program for realizing the above is stored. 26. A recording medium on which a program for realizing the function of the personality diagnosis information providing system according to claim 1 is recorded in a computer-readable state.