Cause-and-effect diagram creation system, cause-and-effect diagram creation method, and program

Abstract

[Problem] To provide a creation assistance tool that enables easy, stress-free, and rapid creation of a cause-and-effect diagram. [Solution] A cause-and-effect diagram creation system comprises: a first display unit that displays an input unit in which a plurality of input fields are displayed in a first hierarchical structure in a tree format; a second display unit that displays a cause-and-effect diagram in a second hierarchical structure in a tree format; and an information processing unit that, on the basis of text information input to the input fields in the first display unit, creates the cause-and-effect diagram configured such that levels of the first hierarchical structure and levels of the second hierarchical structure are in one-to-one correspondence, and causes the second display unit to display the cause-and-effect diagram.

Description

Cause Analysis Diagram Creation System, Cause Analysis Diagram Creation Method, and Program

[0001] The present invention relates to a cause analysis diagram creation system, a cause analysis diagram creation method, and a program.

[0002] Non-Patent Document 1 discloses an example of a characteristic cause diagram creation tool. In the characteristic cause diagram creation tool, the creation of a characteristic cause diagram is performed in a format in which the operator arranges figures and lines by himself / herself and writes text at the tips of the arranged figures and lines.

[0003] ”7 Selected Popular Characteristic Cause Diagram Creation Tools in the 2024 Final Edition”, [online], Edraw, Internet, <URL: https: / / www.edrawsoft.com / jp / fishbone-diagram-creation-tool.html>

[0004] However, in the creation of a characteristic cause diagram (cause analysis diagram) for creating a complex figure, it may take time to create the figure.

[0005] An object of the present invention is to provide a creation support tool that can simply create a cause analysis diagram stress-free and in a short time.

[0006] According to an aspect of the present invention, a cause analysis diagram creation system includes a first display unit that displays an input unit in which a plurality of input locations are displayed in a tree-shaped first hierarchical structure, a second display unit that displays a cause analysis diagram displayed in a tree-shaped second hierarchical structure, and an information processing unit configured to create the cause analysis diagram in which each layer of the first hierarchical structure corresponds to each layer of the second hierarchical structure based on each text information input to the input location in the first display unit and display the created cause analysis diagram on the second display unit.

[0007] According to an aspect of the present invention, when creating a cause analysis diagram, the user only needs to perform an editing operation of inputting text information into the input unit displayed on the tree-shaped first display unit. Therefore, there is no need to create a complex figure among the operations of creating a complex figure and inputting text information. Therefore, since the user only needs to focus on inputting text information, it is possible to simply create a cause analysis diagram stress-free and in a short time.

[0008] Figure 1 is a configuration diagram illustrating the outline of a factor analysis diagram creation system according to an embodiment of the present invention. Figure 2 is a diagram illustrating the first display unit and the third display unit. Figure 3 is a diagram illustrating an example of inputting text information to the input unit displayed on the first display unit. Figure 4 is a flowchart illustrating the factor analysis diagram creation process in the factor analysis diagram creation system. Figure 5 is a diagram showing an example of a factor analysis diagram created by the factor analysis diagram creation system and displayed on the second display unit.

[0009] Hereinafter, with reference to the drawings, a cause-and-effect diagram creation system 1 as a cause-and-effect diagram creation system according to an embodiment of the present invention will be described. In this embodiment, the case in which the cause-and-effect diagram creation system 1 creates a cause-and-effect diagram 50 (see Figure 5) as a cause-and-effect diagram will be described.

[0010] First, the configuration of the cause-and-effect diagram creation system 1 will be explained with reference to Figures 1 and 2.

[0011] Figure 1 is a diagram illustrating the overview of the cause-and-effect diagram creation system 1. Figure 2 is a diagram illustrating the first display unit 11 and the third display unit 13.

[0012] As shown in Figure 1, the cause-and-effect diagram creation system 1 includes a display device 10, a computer 20, an input device 21, and a server 30. The cause-and-effect diagram creation system 1 is a tool that assists users in creating cause-and-effect diagrams 50.

[0013] The display device 10 displays information based on signals output from the computer 20. The display device 10 is a device such as a display monitor capable of displaying images. The display device 10 has a first display unit 11, a second display unit 12, and a third display unit 13. The first display unit 11, the second display unit 12, and the third display unit 13 may be displayed simultaneously on the same display screen, or they may be displayed on multiple separate display screens.

[0014] The first display unit 11 displays an input unit 40 (see Figure 3) in which multiple input locations 41 are displayed in a tree-like hierarchical structure (first hierarchical structure). As shown in Figure 2, the first display unit 11 further includes a title input unit 11a and a creation instruction unit 11b.

[0015] The title input section 11a is an input field for entering the title of the cause-and-effect diagram 50. The title input section 11a constitutes a part of the input area 41.

[0016] The creation instruction unit 11b is an operation unit for creating the cause-and-effect diagram 50. When the creation instruction unit 11b is operated by the user, the server 30, which will be described later, creates the cause-and-effect diagram 50 based on the text information entered into the input location 41 of the input unit 40. The creation of this cause-and-effect diagram 50 will be explained in detail later with reference to Figures 4 and 5.

[0017] The second display unit 12 displays a cause-and-effect diagram 50 created by the server 30 based on signals from the computer 20 (see Figure 5).

[0018] The third display unit 13 is capable of receiving instruction text information for the generated AI (see Figure 2). The third display unit 13 includes an instruction text information input unit 13a, an instruction unit 13b, and a result display unit 13c.

[0019] The instruction text information input section 13a is a field for inputting text information for the generating AI. The user inputs instruction text information into the instruction text information input section 13a using the input device 21.

[0020] When the instruction unit 13b is operated by the user, the instruction text information entered into the instruction text information input unit 13a is transmitted to the generation AI unit 32.

[0021] The result display unit 13c is a field that displays the instruction text information entered into the instruction text information input unit 13a and the response from the generation AI unit 32 in a chat format. Note that the third display unit 13 does not need to be in a chat format; it just needs to be capable of receiving instruction text information from the user.

[0022] Computer 20 is composed of a microcomputer equipped with a CPU, RAM, ROM, input / output interfaces, etc. Computer 20 performs various processes by having the CPU read and execute programs stored in the ROM. Computer 20 is not limited to being composed of a single microcomputer, but may be composed of multiple microcomputers. Computer 20 outputs signals for the information to be displayed on the display device 10.

[0023] The input device 21 is connected to the computer 20. The input device 21 is a device that allows the user to input text information into the computer 20. The input device 21 may be, for example, a keyboard or a touch panel.

[0024] Server 30 is a device that is connected to computer 20 via a network such as the Internet, enabling data communication between them. Server 30 consists of a microcomputer equipped with a CPU, RAM, ROM, input / output interfaces, etc. Server 30 performs various processes by having the CPU read and execute programs stored in the ROM.

[0025] The server 30 includes an information processing unit 31 and a generation AI unit 32. Note that the information processing unit 31 and the generation AI unit 32 are virtual units representing functions within the server 30 and do not represent physical entities.

[0026] In this embodiment, the information processing unit 31 and the generation AI unit 32 are located inside a single server 30, but they do not necessarily have to be located in the same microcomputer. That is, the server 30 is not limited to being composed of a single microcomputer, but may be composed of multiple microcomputers.

[0027] Furthermore, some or all of the information processing unit 31 and the generation AI unit 32 may be provided on another controller, such as a computer 20, located in a different location from the server 30. The cause-and-effect diagram creation system 1 may also be executed solely within the computer 20 without using the server 30. In this case, the cause-and-effect diagram creation system 1 becomes a cause-and-effect diagram creation tool or a cause-and-effect diagram creation device.

[0028] The information processing unit 31 creates a cause-and-effect diagram 50 based on the text information entered into the input location 41 of the first display unit 11, in which each level of the first hierarchical structure corresponds to each level of the second hierarchical structure, and displays it on the second display unit 12.

[0029] When the text generation unit 44 displayed on the first display unit 11 is operated, the generation AI unit 32 generates text information to be entered into the input location 41 using the generation AI. When generating text information, the generation AI unit 32 generates text information at a lower level than the input location 41 corresponding to the operated text generation unit 44 using the generation AI.

[0030] Furthermore, the generation AI unit 32 generates text information for input locations 41 across multiple levels based on the instruction text information using the generation AI. After generating text information for input locations 41 across multiple levels using the generation AI, the generation AI unit 32 modifies the content of the text information for input locations 41 across multiple levels using the generation AI when new instruction text information is input to the third display unit 13.

[0031] Furthermore, the generation AI can use various generation AIs available on the internet, or a specialized generation AI specifically designed for creating cause-and-effect diagrams (factor analysis diagrams) 50 may be pre-prepared on the server 30 and used. Alternatively, various generation AIs available on the internet and the specialized generation AI prepared on the server 30 may be used in combination.

[0032] As shown in Figure 2, the input unit 40 is displayed on the first display unit 11. The input unit 40 includes an input location 41, a switching unit 42, a text input operation unit 43, and a text generation unit 44.

[0033] The input area 41 is configured in a hierarchical structure that includes a characteristic input area 41A for inputting a description of a characteristic, a first-level input area 41B connected below the characteristic input area 41A for inputting a description of a factor (major bone), a second-level input area 41C connected below the first input area 41B for inputting a description of a medium bone, and a third-level input area 41D connected below the second input area 41C for inputting a minor bone (see Figure 3). Furthermore, if necessary, input areas (not shown) for inputting descriptions of bones connected to even lower levels may be included, such as a fourth input area (not shown) connected below the third input area 41D for inputting a sub-sub

[0034] The switching unit 42 switches the display of the input location 41 between being displayed and hidden when operated. The switching unit 42 has an input location addition unit 42a and an input location reduction unit 42b. The switching unit 42 may consist of multiple buttons, such as the input location addition unit 42a and the input location reduction unit 42b, or it may be possible to switch between displaying and hiding with a single button.

[0035] The input field addition section 42a is indicated by a "+" button. When the user operates the input field addition section 42a, it adds and displays the input field 41 at the next lower level.

[0036] The input field reduction section 42b is indicated by a "-" button. When the user operates the input field reduction section 42b, it reduces the number of input fields 41 in the next lower level and displays them.

[0037] When operated by the user, the text input operation unit 43 makes it possible to input text information from the input device 21 into the input area 41 on the same line. When operated again by the user, the text input operation unit 43 returns to a state where it is not possible to input text information into the input area 41 on the same line.

[0038] This allows you to add and edit only the necessary branches of the tree, making it easier to edit hierarchical structures in a visually organized manner.

[0039] When operated by the user, the text generation unit 44 activates the generation AI unit 32.

[0040] The characteristic factor diagram 50 is created by the server 30 based on the information input to the input unit 40 of the first display unit 11. The characteristic factor diagram 50 is a so-called fishbone diagram that shows causes and reasons as the factors causing characteristics (results) in the shape of a fishbone. The characteristic factor diagram 50 is displayed in a tree-like hierarchical structure (second hierarchical structure).

[0041] Next, mainly referring to FIG. 3, an example of input of text information to the input unit 40 will be described. Here, an example of element decomposition up to level 3 using 4M for the problem of "not being able to make good rice balls" will be described.

[0042] FIG. 3 is a diagram for explaining an example of input of text information to the input unit 40 displayed on the first display unit 11.

[0043] Note that 4M indicates that element decomposition is performed by broadly classifying four factors with the initials M of Man, Method, Material, and Machine. Also, up to level 3 indicates that element analysis is performed in a three-level hierarchical structure.

[0044] As shown in FIG. 3, the characteristic (problem) of "not being able to make good rice balls" is input to the characteristic input section 41A. Also, for the problem of "not being able to make good rice balls", "Man", "Method", "Material", and "Machine" are input to the first input section 41B of the first layer.

[0045] Regarding "Man", "experience" and "technique" are input to the second input section 41C of the second layer, which is one level below the first layer. These second input sections 41C can be added and decreased as needed. That is, the second input section 41C of the second layer is added when the input section addition section 41a among the switching sections 42 located in the same row as the first input section 41B of the first layer is operated, and decreased when the input section decrease section 41b is operated.

[0046] Similarly, for "Method", "Procedure" and "Time Management" are input to the second input location 41C at the second layer. For "Material", "Rice" and "Ingredients" are input to the second input location 41C at the second layer. For "Machine", "Rice cooker" and "Kitchen environment" are input to the second input location 41C at the second layer.

[0047] Regarding the "Experience" of "Man", "Little cooking experience" and "No experience in making onigiri" are input to the third input location 41D at the third layer, which is the layer one level below the second layer.

[0048] Similarly, regarding the "Technique" of "Man", "Appropriate grip" and "Inappropriate force control" are input to the third input location 41D at the third layer, which is the layer one level below the second layer. Regarding "Method", "Material", and "Machine" as well, elements one level below the second layer are input to the third input location 41D at the third layer, which is the layer one level below the second layer, but specific explanations are omitted here.

[0049] At this time, for example, when the text generation unit 44 in the same row as the first input location 41B where "Man" at the first layer is input is operated by the user, the text information of the layers below it (here, the second input location 41C at the second layer and the third input location 41D at the third layer) is generated by the generation AI unit 32 and automatically input to the second input location 41C and the third input location 41D. Specifically, the generation AI unit 32 generates the text information of the matters that are the factors based on the text information input to the first input location 41B and inputs it to the second input location 41C, and based on the text information input to the second input location 41C, generates the text information of the matters that are the factors and inputs it to the third input location 41D. The generation AI unit 32 repeats this operation until it reaches the specified level (layer).

[0050] Thus, when generating text information, the generation AI unit 32 generates the text information of the layer below the input location 41 corresponding to the operated text generation unit 44 using the generation AI.

[0051] This ensures that even users with low skill levels can generate keywords for factor analysis at a certain level or higher using the generation AI. Therefore, even inexperienced users can improve the quality of the cause-and-effect diagram 50, and regardless of their skill level, they can use the keywords generated by the generation AI as hints to consider the text content of the cause-and-effect diagram 50. Consequently, this contributes to reducing the time spent considering the text content.

[0052] Furthermore, by generating text information using AI in a chain reaction down to the lower branches of the hierarchical structure, even greater time savings become possible.

[0053] Furthermore, as shown in Figure 2, if the instruction text information input unit 13a displayed on the third display unit 13 is entered as "Please perform element analysis up to level 3 in 4M for the problem of not being able to make rice balls properly," the generation AI will similarly generate an input unit 40 in which multiple input locations 41 are displayed in a tree-like first-level structure (see Figure 3). In this way, the generation AI unit 32 generates text information for input locations 41 across multiple levels based on the instruction text information using the generation AI.

[0054] This allows the AI ​​to generate text information in a chain reaction, down to the lower branches of a hierarchical structure, based on the instruction text. Therefore, further time savings are possible.

[0055] Furthermore, if the user finds that the input field 41 contains text information that does not match their intentions, they will input instruction text into the instruction text information input unit 13a, such as "Please correct this part in this way." Upon receiving this instruction, the generation AI unit 32 will modify the content of the text information in the input field 41 to match the user's instruction. In other words, after the generation AI unit 32 generates text information for the input field 41 across multiple levels using the generation AI, new instruction text information is input into the third display unit 13, and the generation AI then modifies the content of the text information for the input field 41 across multiple levels using the generation AI.

[0056] This allows the AI ​​to correct output results that do not meet the user's expectations, thereby refining the text information. Consequently, further time savings become possible.

[0057] Next, with reference to Figures 4 and 5, the process for creating a cause-and-effect diagram 50 in the cause-and-effect diagram creation system 1 will be explained.

[0058] Figure 4 is a flowchart illustrating the cause-and-effect diagram creation process in the cause-and-effect diagram creation system 1. Figure 5 is a diagram showing an example of a cause-and-effect diagram 50 created by the cause-and-effect diagram creation system 1 and displayed on the second display unit 12.

[0059] In the following explanation, we will describe an example where the server 30 executes steps S11 to S15 and the computer 20 executes step S16. However, this is not limited to this example; steps S11 to S16 may be executed solely by the server 30, solely by the computer 20, or shared between the server 30 and the computer 20.

[0060] In step S11 of Figure 4, it is determined whether the creation instruction unit 11b of the first display unit 11 has been operated by the user. If it is determined in step S11 that the user has operated the creation instruction unit 11b, the process proceeds to step S12 to create the cause-and-effect diagram 50. On the other hand, if it is determined in step S11 that the user has not operated the creation instruction unit 11b, the process in step S11 is repeated.

[0061] In step S12, the server 30 creates data in a format that can be processed in a later step using generation AI. Next, in step S13, the server 30 receives the data in JSON (JavaScript Object Notation) format, which can be used with JavaScript. Then, in step S14, the server 30 receives the data in a format that can be input into a web application. This generates data in a format that can be displayed in a web browser.

[0062] In step S15, the server 30 creates a cause-and-effect diagram 50 based on data in a format that can be input into the web application and sends it to the computer 20. Then, in step S16, the computer 20 displays the cause-and-effect diagram 50 on the second display unit 12.

[0063] Specifically, the information processing unit 31 creates a cause-and-effect diagram 50 based on the text information entered into the input location 41 of the first display unit 11, in which each level of the first hierarchical structure corresponds to each level of the second hierarchical structure, and displays it on the second display unit 12. As a result, the cause-and-effect diagram 50 shown in Figure 5 is formed and displayed on the second display unit 12.

[0064] At this time, the information "I can't make rice balls properly" entered in characteristic input area 41A is displayed in characteristic 51 in the cause-and-effect diagram 50, the information entered in first input area 41B is displayed in major bone 52, which is the first level of the cause-and-effect diagram 50, the information entered in second input area 41C is displayed in middle bone 53, which is the second level of the cause-and-effect diagram 50, and the information entered in third input area 41D is displayed in minor bone 54, which is the third level. In this way, the cause-and-effect diagram 50 is also composed of a hierarchical structure. This tree-like structure of the cause-and-effect diagram 50 corresponds to the second level structure.

[0065] As described above, when creating a cause-and-effect diagram 50, the user only needs to perform editing work by entering text information into the input fields 41 displayed on the tree-like first display unit 11. This eliminates the need to create complex figures, which is one of the tasks involved in creating complex figures and entering text information. Therefore, the user only needs to focus on entering text information, making it possible to create a cause-and-effect diagram 50 simply, stress-free, and in a short amount of time.

[0066] The configuration and effects of this embodiment will now be explained in summary.

[0067] (1) The cause-and-effect diagram creation system 1 includes a first display unit 11 that displays an input unit 40 in which a plurality of input locations 41 are displayed in a tree-like first hierarchical structure, a second display unit 12 that displays a cause-and-effect diagram 50 in which a tree-like second hierarchical structure is displayed, and an information processing unit 31 that creates a cause-and-effect diagram 50 based on the text information entered into the input locations 41 in the first display unit 11, configured such that each level of the first hierarchical structure corresponds to each level of the second hierarchical structure, and displays it on the second display unit 12.

[0068] (7) The method for creating a cause-and-effect diagram includes the steps of: displaying an input unit 40 on a first display unit 11 in which a plurality of input locations 41 are displayed in a tree-like first hierarchical structure; displaying a cause-and-effect diagram 50 on a second display unit 12 in which a tree-like second hierarchical structure is displayed; and creating a cause-and-effect diagram 50 on the second display unit 12, based on the text information entered into the input locations 41 in the first display unit 11, configured such that each level of the first hierarchical structure corresponds to each level of the second hierarchical structure.

[0069] (8) The program causes the computer to perform the following steps: display on the first display unit 11 an input unit 40 in which multiple input locations 41 are displayed in a tree-like first-level structure; display on the second display unit 12 a cause-and-effect diagram 50 in which a tree-like second-level structure is displayed; and create a cause-and-effect diagram 50 based on the text information entered into the input locations 41 in the first display unit 11, configured such that each level of the first-level structure corresponds to each level of the second-level structure, and display it on the second display unit 12.

[0070] With this configuration, when creating a cause-and-effect diagram 50, the user only needs to perform editing work by entering text information into the input fields 41 displayed on the tree-like first display unit 11. This eliminates the need to create complex shapes, which is one of the tasks involved in creating complex shapes and entering text information. Therefore, the user only needs to focus on entering text information, making it possible to create a cause-and-effect diagram 50 simply, stress-free, and in a short amount of time.

[0071] (2) The input unit 40 is configured to include a switching unit 42 (an input unit addition unit 42a and an input unit reduction unit 42b) that switches between displaying and not displaying the input location 41.

[0072] This configuration allows you to add and edit only the necessary branches of the tree, making it easier to edit the hierarchical structure in a visually organized manner.

[0073] (3) The cause-and-effect diagram creation system 1 further includes a generation AI unit 32 that generates text information to be entered into the input location 41 using generation AI when the text generation unit 44 displayed on the first display unit 11 is operated.

[0074] With this configuration, even if the user's skills are low, keywords for factor analysis of a certain level or higher will be generated using the generation AI. Therefore, even inexperienced users can improve the quality of the cause-and-effect diagram 50, and regardless of their skill level, they can use the keywords generated by the generation AI as hints to think about the text content of the cause-and-effect diagram 50. Consequently, this can contribute to reducing the time spent thinking about the text content.

[0075] (4) When generating text information, the generation AI unit 32 generates text information at a lower level than the input location 41 corresponding to the operated text generation unit 44 using the generation AI.

[0076] This configuration allows for further time savings by generating text information using AI in a chain reaction, down to the lower branches of the hierarchical structure.

[0077] (5) The cause-and-effect diagram creation system 1 further includes a third display unit 13 into which instruction text information can be input, and a generation AI unit 32 that generates text information for input locations 41 across multiple levels based on the instruction text information using generation AI.

[0078] This configuration allows the AI ​​to generate text information sequentially, down to the lower branches of the hierarchical structure, based on the instruction text. Therefore, further time savings are possible.

[0079] (6) The generation AI unit 32 generates text information for input locations 41 across multiple levels using the generation AI, and then, when new instruction text information is input to the third display unit 13, it uses the generation AI to modify the content of the text information for input locations 41 across multiple levels.

[0080] With this configuration, by providing new instructions for output results that do not meet the user's expectations, the generating AI can correct them, thereby refining the text information. Therefore, further time savings are possible.

[0081] Although embodiments of the present invention have been described above, these embodiments are merely examples of how the present invention can be applied, and are not intended to limit the technical scope of the present invention to the specific configurations of the above embodiments.

[0082] For example, the above embodiment shows an example in which the cause-and-effect diagram creation system 1 creates a cause-and-effect diagram 50 as a cause analysis diagram. However, the cause-and-effect diagram creation system 1 is not limited to this example and can be applied to other cause-and-effect diagram creation tools (for example, cause analysis diagrams with a hierarchical structure such as Fault Tree Analysis (FTA) or Why-Why Analysis) as long as the cause analysis diagram has a hierarchical structure.

[0083] Furthermore, the various programs executed by the server 30 and the computer 20 may be stored on a non-transient recording medium such as a CD-ROM.

[0084] 1. Cause-and-effect diagram creation system (factor analysis diagram creation system) 10. Display device 11. First display unit 12. Second display unit 13. Third display unit 20. Computer 21. Input device 30. Server 31. Information processing unit 32. Generation AI unit 40. Input unit 41. Input location 42. Switching unit 44. Text generation unit 50. Cause-and-effect diagram (factor analysis diagram)

Claims

1. A factor analysis diagram creation system comprising: a first display unit that displays an input unit in which multiple input locations are displayed in a tree-like first hierarchical structure; a second display unit that displays a factor analysis diagram in a tree-like second hierarchical structure; and an information processing unit that creates the factor analysis diagram, configured such that each level of the first hierarchical structure corresponds to each level of the second hierarchical structure, based on the text information entered into the input locations in the first display unit, and displays it on the second display unit.

2. A factor analysis diagram creation system according to claim 1, wherein the input unit includes a switching unit for switching between displaying and hiding the input location.

3. A factor analysis diagram creation system according to claim 1, further comprising a generation AI unit that generates text information to be entered into the input location using generation AI when the text generation unit displayed on the first display unit is operated.

4. A factor analysis diagram creation system according to claim 3, wherein the generation AI unit generates the text information at a lower hierarchical level than the input location corresponding to the operated text generation unit when generating the text information, using the generation AI.

5. A factor analysis diagram creation system according to claim 1, further comprising: a third display unit capable of inputting instruction text information; and a generation AI unit that generates the text information for the input locations across multiple levels based on the instruction text information using generation AI.

6. A factor analysis diagram creation system according to claim 5, wherein the generation AI unit generates the text information of the input locations spanning multiple layers using the generation AI, and then new instruction text information is input to the third display unit, thereby modifying the content of the text information of the input locations spanning multiple layers using the generation AI.

7. A method for creating a factor analysis diagram, comprising the steps of: displaying an input unit on a first display unit in which a plurality of input locations are displayed in a tree-like first hierarchical structure; displaying a factor analysis diagram on a second display unit in which a tree-like second hierarchical structure is displayed; and creating a factor analysis diagram on the second display unit based on the text information entered into the input locations on the first display unit, wherein each level of the first hierarchical structure corresponds to each level of the second hierarchical structure.

8. A program that causes a computer to execute the following steps: a procedure for displaying an input unit on a first display unit, in which multiple input fields are displayed in a tree-like first-level structure; a procedure for displaying a factor analysis diagram on a second display unit, in which a tree-like second-level structure is displayed; and a procedure for creating the factor analysis diagram on the second display unit, in which each level of the first-level structure corresponds to each level of the second-level structure, based on the text information entered into the input fields on the first display unit.

Images