Psychological hierarchical structure generation assistance program, psychological hierarchical structure generation assistance device, psychological hierarchical structure generation assistance method, and recording medium

Abstract

A psychological hierarchical structure generation assistance program according to the present disclosure includes a hierarchy construction information acquisition procedure and a candidate text output procedure. The hierarchy construction information acquisition procedure acquires configuration information for configuring a psychological hierarchical structure. The psychological hierarchical structure is information in which a plurality of hierarchies and hierarchical text corresponding to the hierarchies are linked and layered. The hierarchies include at least one selected from a group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a creed layer. The hierarchical text includes at least one selected from a group consisting of vision text, mission text, business model text, objective text, work text, and creed text. The configuration information includes at least one set of hierarchical text constituting the psychological hierarchical structure. The candidate text output procedure generates and outputs candidate text of other hierarchies constituting the psychological hierarchical structure on the basis of the hierarchical text.

Description

Psychological hierarchical structure generation support program, psychological hierarchical structure generation support device, psychological hierarchical structure generation support method, and recording medium

[0001] The present disclosure relates to a psychological hierarchical structure generation support program, a psychological hierarchical structure generation support device, a psychological hierarchical structure generation support method, and a recording medium.

[0002] In order to achieve the overall objectives of an organization such as a company, it is important that the values ​​of the organization and the groups and individual members that make up the organization are aligned. Patent Document 1 describes a method for analyzing individual values, in which the results of a questionnaire listing vocabulary used to describe oneself are statistically processed to classify the results into multiple factors that represent internal values ​​or target-evaluation values, and a table is created in which each vocabulary is weighted by factor score for each factor. From the results of each questionnaire, weighting is performed for each factor for each individual based on the aggregated factor scores in the weighting table, and each individual's internal values ​​or target-evaluation values ​​are calculated as a linear model of each weighted factor, and this is used to automatically suggest optimal marketing, learning guidance, and other techniques.

[0003] Japanese Patent Application Laid-Open No. 2001-344375

[0004] However, in order to determine a vision for future prospects, etc., it is not enough to simply analyze an individual's values; a multifaceted analysis of the individual, including those values, is required. However, even when using the system of Patent Document 1, there is a problem in that it is only able to extract values ​​based on a questionnaire containing a list of vocabulary.

[0005] Therefore, an object of the present disclosure is to provide a psychological hierarchical structure generation support program, a psychological hierarchical structure generation support device, a psychological hierarchical structure generation support method, and a recording medium that support the determination of an individual vision.

[0006] In order to achieve the above object, the psychological hierarchical structure generation support program of the present disclosure includes a hierarchy construction information acquisition step and a candidate text output step, wherein the hierarchy construction information acquisition step acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which multiple hierarchies are linked and layered with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output step generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text.This is a psychological hierarchical structure generation support program that causes a computer to execute each of the above steps.

[0007] The psychological hierarchical structure generation support device of the present disclosure includes a hierarchy construction information acquisition unit and a candidate text output unit, wherein the hierarchy construction information acquisition unit acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies and hierarchical texts corresponding to the hierarchies are linked and stacked, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output unit generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical texts.

[0008] The psychological hierarchical structure generation support method disclosed herein includes a hierarchy construction information acquisition step and a candidate text output step, wherein the hierarchy construction information acquisition step acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and stacked with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output step generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text. This is a psychological hierarchical structure generation support method in which each of the steps is performed by a computer.

[0009] The recording medium of the present disclosure includes a hierarchy construction information acquisition procedure and a candidate text output procedure, wherein the hierarchy construction information acquisition procedure acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and stacked with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output procedure generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text, and is a computer-readable recording medium having recorded thereon a psychological hierarchical structure generation support program for causing a computer to execute each of the above procedures.

[0010] According to the present disclosure, it is possible to assist in determining a personal vision.

[0011] FIG. 1 is a block diagram showing an example of a configuration of a psychological hierarchical structure generation support device of the present disclosure. FIG. 2 is a block diagram showing an example of a hardware configuration of a psychological hierarchical structure generation support device of the present disclosure. FIG. 3 is a flowchart showing an example of processing in the psychological hierarchical structure generation support device of the present disclosure. FIG. 4 is a schematic diagram for explaining an example of a psychological hierarchical structure. FIG. 5 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 6 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 7 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 8 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 9 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 10 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 11 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. FIG. 12 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. Fig. 13 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. Fig. 14 is an example of a screen output by the psychological hierarchical structure generation support device of the present disclosure. Fig. 15 is a block diagram showing the configuration of an example of the psychological hierarchical structure generation support device of the present disclosure. Fig. 16 is a flowchart showing an example of processing in the psychological hierarchical structure generation support device of the present disclosure.

[0012] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The present disclosure is not limited to the following embodiments. In the following drawings, the same parts are denoted by the same reference numerals. Furthermore, unless otherwise specified, the descriptions of the embodiments can be mutually incorporated, and the configurations of the embodiments can be combined unless otherwise specified.

[0013] [Embodiment 1] The psychological hierarchical structure generation support program of the present disclosure is a program for causing a computer to execute a procedure for acquiring information for hierarchy construction and a procedure for outputting candidate text. The psychological hierarchical structure generation support program of the present disclosure can also be said to be a program for causing a computer to function as the procedure for acquiring information for hierarchy construction and the procedure for outputting candidate text. Furthermore, the psychological hierarchical structure generation support program of the present disclosure can also be said to be a program for causing a computer to execute, for example, each step of a psychological hierarchical structure generation support method described below.

[0014] The hierarchy construction information acquisition procedure acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies and hierarchical texts corresponding to the hierarchies are linked and stacked, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output procedure generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical texts.

[0015] For example, the "procedure" in each of the steps can be read as a "process." The psychological hierarchical structure generation support program of the present disclosure may be recorded on a computer-readable recording medium, for example. The recording medium may be a non-transitory computer-readable storage medium, for example. The recording medium is not particularly limited, and examples thereof include random access memory (RAM), read-only memory (ROM), hard disk (HD), flash memory (e.g., SSD (Solid State Drive), USB flash memory, SD / SDHC card, etc.), optical disk (e.g., CD-R / CD-RW, DVD-R / DVD-RW, BD-R / BD-RE, etc.), magneto-optical disk (MO), floppy disk (FD), etc. The psychological hierarchical structure generation support program of the present disclosure (also referred to as a programming product or program product) may be distributed from an external computer, for example. The "distribution" may be, for example, distribution via a communication network or distribution via a device connected via a wire. The psychological hierarchical structure generation support program of the present disclosure may be installed and executed on the device to which it is distributed, or may be executed without being installed. An information processing device capable of executing the psychological hierarchical structure generation support program of the present disclosure can be referred to as, for example, the psychological hierarchical structure generation support device of the present disclosure.

[0016] Next, the configuration of an example of a psychological hierarchical structure generation support device according to the present disclosure will be described with reference to FIG. 1 . FIG. 1 is a block diagram showing the configuration of an example of a psychological hierarchical structure generation support device 10 (hereinafter also referred to as "the device") according to this embodiment. As shown in FIG. 1 , the device 10 includes a hierarchy-construction information acquisition unit 11 and a candidate text output unit 12. The device 10 may also include, for example, an input unit, an output unit, a display unit, and / or a storage unit, although these are not shown. The hierarchy-construction information acquisition unit 11 and the candidate text output unit 12 can respectively execute, for example, the hierarchy-construction information acquisition procedure and the candidate text output procedure in the psychological hierarchical structure generation support program according to the present disclosure.

[0017] The device 10 may be, for example, a single device including the above-mentioned components, or a device in which the components can be connected via a communication network. The device 10 can also be connected to an external device (described later) via the communication network. The communication network is not particularly limited and any known network can be used, and may be wired or wireless. Examples of the communication network include the Internet, the World Wide Web (WWW), a telephone line, a Local Area Network (LAN), a Storage Area Network (SAN), a Delay Tolerant Networking (DTN), a Low Power Wide Area Network (LPWA), and a Local 5G (L5G). Examples of wireless communication networks include Wi-Fi (registered trademark), Bluetooth (registered trademark), a Local 5G, and a LPWA. The wireless communication may be a form in which each device communicates directly (ad hoc communication), infrastructure communication, indirect communication via an access point, or the like. The device 10 may be incorporated into a server as a system, for example. The device 10 may also be a personal computer (e.g., desktop or laptop PC), a smartphone, a tablet terminal, or the like, on which the program of the present disclosure is installed. The device 10 may also be in the form of cloud computing or edge computing, for example, in which at least one of the units is located on a server and the other units are located on a terminal.

[0018] 2 is a block diagram illustrating an example of the hardware configuration of the device 10. The device 10 includes, for example, a central processing unit (CPU, GPU, etc.) 101, a memory 102, a bus 103, a storage device 104, an input device 105, an output device 106, and a communication device 107. The components of the device 10 are connected to each other via the bus 103 and their respective interfaces (I / F).

[0019] The central processing unit 101 cooperates with other components via a controller (such as a system controller or an I / O controller) and is responsible for overall control of the device 10. In the device 10, the central processing unit 101 executes, for example, the program disclosed herein and other programs, and also reads and writes various types of information. Specifically, for example, the central processing unit 101 functions as a hierarchy construction information acquisition unit 11 and a candidate text output unit 12. The device 10 may include, as a computing device, other computing devices such as a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or a combination of these.

[0020] The bus 103 can also be connected to, for example, external devices. Examples of the external devices include a user terminal, an external storage device (such as an external database), a printer, an external input device, an external display device, and an external imaging device. The device 10 can be connected to an external network (the communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.

[0021] The memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 (described later), and the central processing unit 101 receives data from the memory 102 and executes the programs. The main memory may be, for example, a RAM (random access memory). Alternatively, the memory 102 may be, for example, a ROM (read only memory).

[0022] The storage device 104 is also referred to as an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores an operating program including the program of the present disclosure. The storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes from and to the recording medium. The recording medium is not particularly limited and may be, for example, an internal or external type, and examples include a hard disk (HD), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, and memory card. The storage device 104 may be, for example, a hard disk drive (HDD) or a solid state drive (SSD) in which the recording medium and drive are integrated.

[0023] In the present device 10, the memory 102 and the storage device 104 can also store various information, such as log information, information acquired from an external database (not shown) or an external device, information generated by the present device 10, and information used by the present device 10 when executing processing. In this case, the memory 102 and the storage device 104 may store, for example, the above-mentioned information about the user of the present device. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and the storage device 104, or may be stored in a distributed manner across multiple terminals using blockchain technology or the like. Furthermore, if the present device 10 includes the storage unit, for example, the memory 102 and the storage device 104 function as the storage unit. The storage unit may record, for example, each level of the psychological hierarchy structure described below.

[0024] The device 10 further includes, for example, an input device 105 and an output device 106. Examples of the input device 105 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone. Examples of the output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; a printer; and the like. In the first embodiment, the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.

[0025] An example of processing by the psychological hierarchical structure generation support program of the present disclosure will be described in more detail with reference to Fig. 3. Fig. 3 is a flowchart showing an example of each procedure of the psychological hierarchical structure generation support program of the present disclosure. The psychological hierarchical structure generation support program of the present disclosure is implemented as follows, for example, using the device 10 of Fig. 1 or Fig. 2 in which the psychological hierarchical structure generation support program of the present disclosure is installed. Note that implementation of the psychological hierarchical structure generation support program of this embodiment is not limited to use of the device 10 of Fig. 1 or Fig. 2.

[0026] The hierarchy construction information acquisition unit 11 acquires construction information for constructing a psychological hierarchical structure (S1, hierarchy construction information acquisition procedure). The psychological hierarchical structure is information in which multiple hierarchies and corresponding hierarchical texts are linked and stacked. Details of the psychological hierarchical structure will be described later. For example, the hierarchy construction information acquisition unit 11 can acquire the construction information by linking text entered by a user with hierarchical identification information that identifies the hierarchical level and acquiring the hierarchical text as the hierarchical text, but this is not limited to this. For example, the hierarchy construction information acquisition unit 11 may present the hierarchies constituting the psychological hierarchical structure to the user, acquire text input for a hierarchical level selected by the user as hierarchical text corresponding to the hierarchical level, and link the acquired hierarchical text with the selected hierarchical level to create the construction information. In this case, the hierarchical text acquisition method for each hierarchical level may be the same or different. The hierarchical text input method may be, for example, free input or selection from presented candidate texts. When the configuration information includes a plurality of sets of hierarchies and hierarchical texts, the hierarchy construction information acquisition unit 11 may, for example, acquire the plurality of hierarchical texts simultaneously or sequentially, and in the latter case, the acquisition order can be any order. For example, the hierarchy construction information acquisition unit 11 may acquire the configuration information by generating a screen for inputting hierarchical text for each of the plurality of hierarchies included in the psychological hierarchical structure and acquiring the user's input on each screen as the hierarchical text.

[0027] The psychological hierarchical structure is, for example, information for organizing the consistency between an individual's mental elements (mind) and their real elements (reality). The psychological hierarchical structure configuration information is also referred to as, for example, a vision strategy pyramid. The psychological hierarchical structure configuration information may be, for example, text data or image data such as a diagram. In the psychological hierarchical structure configuration information, the stacking order of each layer is not particularly limited and can be stacked in any order. Specifically, the psychological hierarchical structure is, for example, a diagram for organizing and confirming the relationship between at least two selected from the mental elements, such as a vision (e.g., prospects, desired state, etc.), a mission, and personal values ​​(e.g., creed), and the real elements, such as a business model (e.g., occupation), an objective (e.g., key goal), and work (e.g., job, duties).

[0028] The psychological hierarchical structure includes multiple levels, and the hierarchical text can be input. The levels include, for example, at least one of a level related to the user's mental elements and a level related to the user's real elements. As the level related to the mental elements, the psychological hierarchical structure includes, for example, at least one selected from the group consisting of a vision level, a mission level, and a belief level. As the level related to the real elements, the psychological hierarchical structure includes, for example, at least one selected from the group consisting of a business model level, an objective level, and a work level. The hierarchical text corresponds to each level and includes, for example, at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text.

[0029] Specific examples of information for constructing a psychological hierarchical structure (psychological hierarchical structure) will be described using Table 1 below and Figure 4, but the present disclosure is not limited to the following examples. As shown in Figure 4, the psychological hierarchical structure is layered in the following order from bottom to top: belief (values) layer, work (job) layer, objective (key goal) layer, business model (occupation) layer, mission layer, and vision layer. Note that Table 1 below and Figure 4 below are examples, and the hierarchy construction information acquisition unit 11 may acquire, for example, at least one of the hierarchies and corresponding hierarchical texts included in the psychological hierarchical structure shown in Table 1 below and Figure 4 as information for constructing a psychological hierarchical structure.

[0030] The vision layer is a layer for inputting the user's vision (desired state) based on the user's values ​​(beliefs), for example. The user's "desired state" is, for example, the state the user desires to be in without any constraints (for example, mental constraints and / or real constraints) of the user. The vision text is, for example, text input into the vision layer, and may be at least one word or a sentence.

[0031] The mission layer is, for example, a layer for inputting a user's mission. The user's "mission" is, for example, a guideline for action to realize the user's vision. The mission text is, for example, text input into the mission layer, and may be at least one word or a sentence.

[0032] The business model layer is, for example, a layer for inputting the user's occupation. The business model layer is also called, for example, an occupation layer. The business model text is, for example, text that specifies the user's occupation. The business model text may be, for example, the name of the user's occupation, or a sentence that includes the occupation.

[0033] The objective layer is, for example, a layer for inputting a user's goal. The objective layer is also called a focus layer. The objective text is, for example, text input to the objective layer, and may be at least one word or a sentence.

[0034] The work layer is, for example, a layer for inputting the actual duties of the user's occupation. The work layer is also called, for example, a job layer or a practical layer. The work text is, for example, text input to the work layer, and may be at least one word or a sentence.

[0035] The belief layer is, for example, a layer for inputting the user's values. The belief layer is also referred to as, for example, a value layer. The belief text is, for example, text indicating the user's values, and may be a word or a sentence. The belief text may be, for example, text freely input by the user, or text selected by the user from value options presented by the device 10.

[0036] The candidate text output unit 12 generates and outputs candidate text for other layers constituting the psychological hierarchical structure based on the hierarchical text (S2, candidate text output procedure). The candidate text output unit may generate one candidate text for each layer, or two or more candidate texts. The candidate text output unit 12 may generate and output candidate text for other layers based on hierarchical text corresponding to the layer for which candidate text is to be generated, for example. Specifically, in the psychological hierarchical structure shown in FIG. 4 , a case in which candidate text is to be generated for the mission layer will be described as an example. In this case, the candidate text output unit 12 can generate and output candidate text for the mission layer by inputting, for example, a vision text for the vision layer and a business model text for the business model layer, which are layers adjacent to the mission layer, into the trained model or the generation AI as input data.

[0037] Specifically, the candidate text output unit 12 may generate the candidate text using, for example, a trained model, or may generate the candidate text using generation AI.

[0038] When using a trained model, the candidate text output unit 12 can generate the candidate text by inputting the input data into the trained model, for example, using the hierarchical text obtained in S1 from each hierarchical level included in the psychological hierarchical structure as input data, and the hierarchical text of a hierarchical level for which hierarchical text has not been obtained in S1 as estimated data.

[0039] The trained model is, for example, a model that uses a large number of pairs of layers and layer texts in a psychological hierarchical structure as training data and learns the relationships between the layer texts in each layer contained in the psychological hierarchical structure. The trained model can, for example, perform morphological analysis on the layer text contained in the training data and perform vectorization to convert the data into numerical values ​​before training. The training method for the trained model is not particularly limited, and known machine learning techniques can be used. Specific examples of training methods include, but are not limited to, recurrent neural networks (RNNs) and transformers. Furthermore, the training data may further include attribute information of the training data. The attribute information is, for example, information on the attributes (e.g., age, gender, affiliation, hometown, address, etc.) of the creator of the psychological hierarchical structure contained in the training data. By further learning the attribute information of the training data, the trained model can generate a more accurate trained model.

[0040] When using a generation AI, the candidate text output unit 12 can generate candidate text by providing the generation AI with a prompt that instructs it to generate candidate text for another layer based on the layer text acquired in S1 among the layers included in the psychological hierarchical structure, and the layer text acquired in S1. Examples of the generation AI include LLM (Large Language Model) from NEC Corporation, ChatGPT from Open AI, Bing from Microsoft, and Bard and Gemini from Google (Alphabet, Inc.).

[0041] For example, the device 10 may repeat the processing by the hierarchy construction information acquisition unit 11 and the candidate text output unit 12 until hierarchical text corresponding to each of all hierarchical levels in the psychological hierarchical structure is acquired.

[0042] The device 10 may, for example, optionally include a psychological hierarchy output unit (not shown in FIGS. 1 and 2 ), which outputs an image showing the psychological hierarchy based on the hierarchical text (psychological hierarchy output procedure).

[0043] The psychological hierarchical structure generation support method of the present disclosure is a method implemented by, for example, replacing the "procedures" in the psychological hierarchical structure generation support program of the present disclosure with "processes." Specifically, the psychological hierarchical structure generation support method of the present disclosure includes a hierarchy-construction information acquisition process and a candidate text output process, wherein the hierarchy-construction information acquisition process acquires configuration information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which multiple hierarchies are linked to and stacked with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the configuration information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output process generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical texts. The psychological hierarchical structure generation support method of the present disclosure can be implemented, for example, using the psychological hierarchical structure generation support device 10 of the present disclosure shown in Figure 1 or Figure 2. Note that the psychological hierarchical structure generation support method of the present disclosure is not limited to, for example, a method using the psychological hierarchical structure generation support device 10. For example, the psychological hierarchical structure generation support method of the present disclosure can refer to the descriptions of the psychological hierarchical structure generation support program and the psychological hierarchical structure generation support device of the present disclosure.

[0044] Next, a specific example of how the device can be used will be described. In the following explanation, a case will be described in which a user creates the psychological hierarchical structure shown in Figure 4 (a vision strategy pyramid in which, from the bottom, the belief (values) layer, work (job) layer, objective (key goal) layer, mission layer, and vision layer are stacked in this order), and candidate text for the mission text to be input into the mission layer is generated and output, but the present disclosure is not limited to the following example.

[0045] First, in acquiring configuration information, the device 10 presents the user with the screen (main menu screen) shown in Fig. 5, and prompts the user to select a psychological hierarchy to be input in order to acquire configuration information. When the user presses the "Define values" button shown in Fig. 5, the screen transitions to an input screen for values ​​(belief text), when the user presses the "Define vision" button, the screen transitions to an input screen for vision (vision text), and when the user presses "Define vision strategy pyramid," the screen transitions to a hierarchy selection screen for the vision strategy pyramid (psychological hierarchy).

[0046] When the user presses the "Define Values" button, the device 10 transitions to a values ​​input screen, for example, as shown in FIG. 6 . As shown in FIG. 6 , the device 10 presents buttons for selecting a group of words that are candidates for the user's values, and the word corresponding to the button selected by the user can be acquired as the user's values ​​(belief text). If the presented word group does not contain a word that matches the user's values, the user can add a word to the word group by pressing the "Add Value Word" button. In the specific example shown in FIG. 6 , the user selects the "Gratitude," "Cooperation," "Flexibility," "Self-Control," "Joy," "Friendship," "Understanding," and "Confidence" buttons, respectively. Therefore, the hierarchy construction information acquisition unit 11 acquires "Gratitude, Cooperation, Flexibility, Self-Control, Joy, Friendship, Understanding, and Confidence" as the user's values. The device 10 may also acquire priority information for the selected words from the user and record the acquired priorities in association with each value word. The method of acquiring values ​​(belief text) is not limited to this, and for example, candidate words may be presented to the user one by one, and the user may successively confirm whether or not to adopt each candidate word.

[0047] Next, when the user presses the "Define Vision" button or completes the input of values, the device 10 transitions to a vision input screen, for example, as shown in FIG. 7. On the vision input screen, the user is presented with a partially blank vision statement, such as "I am [ ]," as shown in FIG. 7, and is prompted to fill in the blank to input the vision statement. In this example, the user's vision is entered in the blank as "a person who values ​​gratitude and cooperation, is flexible and self-controlling, and builds friendly relationships where people can share joy." Therefore, the hierarchy construction information acquisition unit 11 acquires the entered text as the user's vision text. Furthermore, if the user has entered values ​​before inputting the vision, the user's values ​​may also be displayed, as shown in FIG. 7. This allows the user to input their vision while confirming their own values, thereby generating a more consistent vision-strategy pyramid.

[0048] Next, when the user presses "Define Vision-Strategic Pyramid" or when the input of values ​​and vision is completed, the device 10 transitions to the hierarchy selection screen shown in FIG. 8 . As shown in FIG. 8 , the hierarchy selection screen may also display a diagram of the vision-strategic pyramid and display hierarchy text corresponding to the hierarchy already entered by the user. As shown in FIG. 8 , the hierarchy selection screen displays "Mission," "Occupation," "Key Objective," and "Work" buttons for selecting an unentered hierarchy in the vision-strategic pyramid (psychological hierarchy structure). When the user presses the "Mission" button, the screen transitions to a mission (mission text) input screen. When the user presses the "Occupation" button, the screen transitions to a career (business model text) input screen. When the user presses the "Work" button, the screen transitions to a work (work text) input screen. Note that when the user presses the "Create in Order" button shown in FIG. 8 , the device 10 may transition to the screen in a preset order (e.g., career input, work input, key objective input, mission input).

[0049] When the user presses the "Occupation" button or the "Create in order" button on the hierarchy selection screen, the device 10 transitions to an occupation input screen, for example, as shown in Fig. 9. On the occupation input screen, for example, as shown in Fig. 9, a blank space for inputting an occupation is displayed, and the user is prompted to input the user's occupation into the blank space. In this example, since "research engineer who solves problems by utilizing ICT" has been input as the user's occupation in the blank space, the hierarchy construction information acquisition unit 11 acquires the input text as the user's occupation (business model text).

[0050] When the user presses the "Work" button on the hierarchy selection screen, or when the user who pressed the "Create in order" button has completed inputting the user's occupation, the device 10 transitions to a work input screen, for example, as shown in Fig. 10. On the work input screen, for example, as shown in Fig. 10, blank spaces are displayed for inputting the user's work, and the user is prompted to input the user's work into the blank spaces. In this example, since "Formalization of vision clarification," "Investigation of methods for vision clarification," and "Procedures for research" have been input into the blank spaces as the user's occupation, the hierarchy construction information acquisition unit 11 acquires the input text as the user's work (work text).

[0051] When the user presses the "Priority Goal" button on the hierarchy selection screen, or when the user who pressed the "Create in Order" button has completed inputting the occupation and job of the user, the device 10 transitions to a priority goal input screen, for example, as shown in FIG. 11. On the priority goal input screen, for example, as shown in FIG. 11, blank spaces are displayed for inputting the user's priority goals, and the user is prompted to input the priority goals into the blank spaces. In this example, "problem-finding ability," "problem-solving ability," and "ICT handling ability" have been input as the user's priority goals in the blank spaces, so the hierarchy construction information acquisition unit 11 acquires the input text as the user's priority goals (objective text).

[0052] When the user presses the "Mission" button on the hierarchy selection screen, or when the user who pressed the "Create in Order" button has completed inputting the occupation, job, and priority goal, the device 10 transitions to a mission input screen, for example, as shown in Fig. 12. On the mission input screen, for example, as shown in Fig. 12, blank spaces for inputting the user's mission are displayed, and the user is prompted to input the user's mission in the blank spaces. The hierarchy construction information acquisition unit 11 can acquire the input text as the user's mission (mission text).

[0053] As shown in FIG. 12 , the device 10 displays an “AI Proposal” button on the mission input screen. When the user presses the “AI Proposal” button, the candidate text output unit 12 inputs the vision text and business model text entered by the user into the trained model to generate candidate text for the mission layer. As shown in FIG. 13 , the candidate text output unit 12 displays the generated candidate text for the mission layer: “First candidate: Emphasize gratitude and cooperation, and build friendly relationships as a research engineer who solves problems using ICT while improving problem-solving skills,” “Second candidate: Emphasize gratitude and cooperation, and contribute to solving social issues as a research engineer who solves problems using ICT,” and “Third candidate: Build friendly relationships where we can share joy as a research engineer who solves problems using ICT.” The user can select the displayed candidate text. The hierarchy construction information acquisition unit 11 can acquire the selected candidate text (for example, "First candidate: Emphasize gratitude and cooperation, improve problem-solving skills, and build friendly relationships as a research engineer who uses ICT to solve problems") as the user's mission text.

[0054] The psychological hierarchical structure output unit of the device 10 can output an image showing the psychological hierarchical structure shown in Fig. 14 based on the acquired hierarchical text. As shown in Fig. 14, the image showing the psychological hierarchical structure can display an image showing each level and hierarchical text corresponding to each level.

[0055] The psychological hierarchical structure generation support program disclosed herein includes a hierarchy construction information acquisition procedure and a candidate text output procedure. The hierarchy construction information acquisition procedure acquires configuration information for constructing the psychological hierarchical structure, and the candidate text output procedure generates and outputs candidate text for other levels of the psychological hierarchical structure based on the hierarchical text. The psychological hierarchical structure (vision-strategy pyramid) can function as a useful analytical tool for business creation and aligning organizational values ​​with personal values. However, even if it is possible to input hierarchical text for the layers related to practical elements (business model layer, objective layer, and work layer) of the vision-strategy pyramid, it may be difficult to input hierarchical text for the layers related to spiritual elements (vision layer, mission layer, and belief layer). In this case, the layers related to spiritual elements must be entered with assistance such as a facilitator, which is costly and depends on the facilitator's ability. The psychological hierarchical structure generation support program disclosed herein acquires configuration information including at least one of the hierarchical texts constituting the psychological hierarchical structure, and generates candidate text for other levels based on the hierarchical text. Therefore, the psychological hierarchical structure generation support program of the present disclosure can support the user in generating a psychological hierarchical structure on his or her own, thereby supporting the determination of a highly accurate personal vision.

[0056] Second Embodiment Another example of the psychological hierarchical structure generation support program of the present disclosure will be described.

[0057] The psychological hierarchical structure generation support program of this embodiment is similar to the psychological hierarchical structure generation support program of the first embodiment, except that it includes a consistency evaluation procedure in addition to the configuration of the psychological hierarchical structure generation support program of the first embodiment, and the description thereof can be used. The psychological hierarchical structure generation support program of this embodiment includes, for example, a consistency evaluation procedure, which calculates and outputs a consistency score between hierarchical text corresponding to one hierarchical level and hierarchical text corresponding to the other hierarchical level.

[0058] Next, the psychological hierarchical structure generation support device of this embodiment will be described with reference to Figure 15. The psychological hierarchical structure generation support device 10A of the present disclosure is similar to the psychological hierarchical structure generation support device 10 of the first embodiment, except that it includes a consistency evaluation unit 13 in addition to the configuration of the psychological hierarchical structure generation support device 10 of the first embodiment, and the description thereof can be used. The psychological hierarchical structure generation support device 10A of this embodiment includes, for example, a consistency evaluation unit 13, which calculates and outputs a consistency score between hierarchical text corresponding to one hierarchical level and hierarchical text corresponding to the other hierarchical level.

[0059] As shown in Figure 15, the psychological hierarchical structure generation support device 10A includes a consistency evaluation unit 13 in addition to the configuration of the psychological hierarchical structure generation support device 10 of embodiment 1. The hardware configuration of the psychological hierarchical structure generation support device 10A is the same as that of the psychological hierarchical structure generation support device 10 of Figure 2, except that the central processing unit 101 includes the configuration of the psychological hierarchical structure generation support device 10A of Figure 4 instead of the configuration of the psychological hierarchical structure generation support device 10 of Figure 1. The processing of the consistency evaluation unit 13 of the present disclosure will be described below with reference to Figure 16. The processing of the consistency evaluation unit 13 may be inserted at any position in the flowchart of Figure 3 described in embodiment 1, or may be executed separately and independently as shown in Figure 16.

[0060] The consistency evaluation unit 13 calculates and outputs a consistency score between hierarchical text corresponding to one layer and hierarchical text corresponding to another layer (S11, consistency evaluation procedure). The consistency evaluation unit 13 can, for example, calculate and output a consistency score between hierarchical text corresponding to two adjacent layers. The consistency score is an index for evaluating the consistency between hierarchical texts. The consistency score may, for example, be a qualitative evaluation (whether or not there is consistency) or a quantitative evaluation. If the consistency score is a quantitative evaluation, it may, for example, be an 11-point evaluation (e.g., a real number ranging from 0 to 1 with intervals of 0.1). The consistency evaluation unit 13 can, for example, calculate the consistency score using a trained model. The trained model may be the trained model described in the first embodiment, trained to add an integrated layer to the output side so that the consistency degree can be output. The consistency evaluation unit 13 can, for example, output the consistency score by inputting hierarchical text corresponding to one layer and hierarchical text corresponding to the other layer into the trained model.

[0061] The consistency evaluation unit 13 may output, for example, suggested information for a layer text corresponding to a layer whose consistency score is equal to or less than a threshold. The suggested information may be, for example, information prompting the user to reconsider the layer text of a layer whose consistency score is equal to or less than a threshold, or may output a candidate text whose consistency score exceeds the threshold. The threshold is not particularly limited and may be set to any value. For example, when the consistency score is an 11-point scale, the threshold may be set to 0.3. Furthermore, for example, when the consistency score is below the threshold, the consistency evaluation unit 13 may output suggested information for both the layer text corresponding to one layer and the layer text corresponding to the other layer, or may output suggested information for only one of them. In the latter case, the consistency evaluation unit 13 may output suggested information for a layer whose consistency score is lower between the layer text corresponding to one layer and another layer adjacent to the layer text corresponding to the other layer. As a specific example, if the consistency score between the mission text and the business model text in the psychological hierarchical structure shown in Figure 4 is below the threshold, the consistency score between the mission text and the vision text is compared with the consistency score between the business model text and the objective text, and if the consistency score between the mission text and the vision text is lower, suggested information about the mission text is output, and if the consistency score between the business model text and the objective text is lower, suggested information about the business model text is output.

[0062] When performing analysis using a vision strategy pyramid (psychological hierarchical structure), it is important to verify whether the hierarchical text at each level is consistent. However, there is a problem in that it is difficult for an individual to align the hierarchical text of a psychological hierarchical structure. The psychological hierarchical structure generation support program disclosed herein includes a consistency evaluation procedure, which can calculate and output a consistency score between the hierarchical text corresponding to one level and the hierarchical text corresponding to the other level. Therefore, the psychological hierarchical structure generation support program disclosed herein can, for example, objectively visualize the consistency between the hierarchical texts included in the psychological hierarchical structure entered by the user. Therefore, the psychological hierarchical structure generation support program disclosed herein can, for example, support the generation of a consistent psychological hierarchical structure for an individual, thereby supporting the determination of a highly accurate personal vision.

[0063] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0064] This application claims priority based on Japanese Patent Application No. 2024-059384, filed April 2, 2024, the disclosure of which is incorporated herein in its entirety by reference.

[0065] <Supplementary Notes> Some or all of the above embodiments may be described as in the following supplementary notes, but are not limited to them. (Supplementary Note 1) A psychological hierarchical structure generation support program including a hierarchy construction information acquisition step and a candidate text output step, wherein the hierarchy construction information acquisition step acquires configuration information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and layered with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the configuration information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output step generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text. (Supplementary Note 2) The psychological hierarchical structure generation support program according to Supplementary Note 1, wherein the candidate text output step generates and outputs candidate text for another layer based on hierarchical text corresponding to another layer adjacent to the layer for which candidate text is to be generated. (Supplementary Note 3) The psychological hierarchical structure generation support program according to Supplementary Note 1 or 2, wherein the hierarchy construction information acquisition step and the candidate text output step are repeated until hierarchical text corresponding to all layers of the psychological hierarchical structure is obtained. (Supplementary Note 4) The psychological hierarchical structure generation support program according to any one of Supplements 1 to 3, further comprising a consistency evaluation step, which calculates and outputs a consistency score between hierarchical text corresponding to one layer and hierarchical text corresponding to the other layer. (Supplementary Note 5) The psychological hierarchical structure generation support program according to Supplementary Note 4, wherein the consistency evaluation step calculates and outputs a consistency score between hierarchical text corresponding to two adjacent layers. (Supplementary Note 6) The psychological hierarchical structure generation support program according to Supplementary Note 4 or 5, wherein the consistency evaluation step outputs suggested information for hierarchical text corresponding to a layer whose consistency score is equal to or less than a threshold.(Supplementary Note 7) A psychological hierarchical structure generation assistance program according to any one of Supplements 1 to 6, further comprising a psychological hierarchical structure output step, wherein the psychological hierarchical structure output step outputs an image showing the psychological hierarchical structure based on the hierarchical text. (Supplementary Note 8) A psychological hierarchical structure generation assistance device, further comprising a hierarchy construction information acquisition unit and a candidate text output unit, wherein the hierarchy construction information acquisition unit acquires construction information for constructing the psychological hierarchical structure, wherein the psychological hierarchical structure is information in which a plurality of hierarchies are linked and stacked with hierarchical texts corresponding to the hierarchies, wherein the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, wherein the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, wherein the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and wherein the candidate text output unit generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text. (Supplementary Note 9) The psychological hierarchical structure generation assistance device according to Supplementary Note 8, wherein the candidate text output unit generates and outputs candidate text for another layer based on hierarchical text corresponding to the other layer adjacent to the layer for which candidate text is to be generated. (Supplementary Note 10) The psychological hierarchical structure generation assistance device according to Supplementary Note 8 or 9, wherein processing by the hierarchy construction information acquisition unit and the candidate text output unit is repeated until hierarchical text corresponding to all layers of the psychological hierarchical structure is acquired. (Supplementary Note 11) The psychological hierarchical structure generation assistance device according to any of Supplementary Notes 8 to 10, further comprising a consistency evaluation unit, which calculates and outputs a consistency score between hierarchical text corresponding to one layer and hierarchical text corresponding to the other layer. (Supplementary Note 12) The psychological hierarchical structure generation assistance device according to Supplementary Note 11, wherein the consistency evaluation unit calculates and outputs a consistency score between hierarchical text corresponding to two adjacent layers.(Supplementary Note 13) The psychological hierarchical structure generation assistance device according to Supplementary Note 11 or 12, wherein the consistency evaluation unit outputs suggested information for hierarchical text corresponding to a hierarchical level whose consistency score is equal to or less than a threshold. (Supplementary Note 14) The psychological hierarchical structure generation assistance device according to any one of Supplementary Notes 8 to 13, further comprising a psychological hierarchical structure output unit, which outputs an image showing the psychological hierarchical structure based on the hierarchical text. (Supplementary Note 15) A psychological hierarchical structure generation support method according to Supplementary Note 15, comprising: a hierarchy-construction information acquisition step and a candidate text output step, wherein the hierarchy-construction information acquisition step acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and layered with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, the candidate text output step generates and outputs candidate text for another hierarchical level that constitutes the psychological hierarchical structure based on the hierarchical text, and (Supplementary Note 17) The psychological hierarchical structure generation support method according to Supplementary Note 15 or 16, wherein the hierarchy construction information acquisition step and the candidate text output step are repeated until hierarchical text corresponding to all hierarchical levels of the psychological hierarchical structure is acquired. (Supplementary Note 18) The psychological hierarchical structure generation support method according to any of Supplementary Notes 15 to 17, further comprising a consistency evaluation step of calculating and outputting a consistency score between hierarchical text corresponding to one level and hierarchical text corresponding to the other level.(Supplementary Note 19) The psychological hierarchical structure generation support method according to Supplementary Note 18, wherein the consistency evaluation step calculates and outputs a consistency score between hierarchical texts corresponding to two adjacent hierarchies. (Supplementary Note 20) The psychological hierarchical structure generation support method according to Supplementary Note 18 or 19, wherein the consistency evaluation step outputs suggested information for hierarchical texts corresponding to hierarchies whose consistency score is equal to or less than a threshold. (Supplementary Note 21) The psychological hierarchical structure generation support method according to any of Supplements 15 to 20, further comprising a psychological hierarchical structure output step, wherein the psychological hierarchical structure output step outputs an image showing the psychological hierarchical structure based on the hierarchical text. (Appendix 22) A system including a hierarchy construction information acquisition procedure and a candidate text output procedure, wherein the hierarchy construction information acquisition procedure acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and stacked with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output procedure generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text, and a computer-readable recording medium having recorded thereon a psychological hierarchical structure generation support program for causing a computer to execute each of the above procedures. (Supplementary Note 23) The recording medium according to Supplementary Note 22, wherein the candidate text output step generates and outputs candidate text for another layer based on hierarchical text corresponding to the other layer adjacent to the layer for which the candidate text is to be generated. (Supplementary Note 24) The recording medium according to Supplementary Note 22 or 24, wherein processing by the hierarchy construction information acquisition step and the candidate text output step is repeated until hierarchical text corresponding to all layers of the psychological hierarchical structure is obtained.(Supplementary Note 25) The recording medium according to any one of Supplements 22 to 24, including a consistency evaluation procedure, wherein the consistency evaluation procedure calculates and outputs a consistency score between hierarchical text corresponding to one hierarchical layer and hierarchical text corresponding to another hierarchical layer. (Supplementary Note 26) The recording medium according to Supplementary Note 25, wherein the consistency evaluation procedure calculates and outputs a consistency score between hierarchical text corresponding to two adjacent hierarchical layers. (Supplementary Note 27) The recording medium according to Supplementary Note 25 or 26, wherein the consistency evaluation procedure outputs suggested information for hierarchical text corresponding to a layer whose consistency score is equal to or lower than a threshold. (Supplementary Note 28) The recording medium according to any one of Supplements 22 to 27, including a psychological hierarchical structure output procedure, wherein the psychological hierarchical structure output procedure outputs an image indicating the psychological hierarchical structure based on the hierarchical text.

[0066] According to the present disclosure, it is possible to support the determination of an individual's vision. Therefore, the present disclosure can be suitably used in various fields where organizational management is required.

[0067] REFERENCE SIGNS LIST 10 Psychological hierarchical structure generation support device 11 Hierarchy construction information acquisition unit 12 Candidate text output unit 13 Consistency evaluation unit 101 Central processing unit 102 Memory 103 Bus 104 Storage device 105 Input device 106 Output device 107 Communication device

Claims

1. A psychological hierarchical structure generation support program including a hierarchy construction information acquisition step and a candidate text output step, wherein the hierarchy construction information acquisition step acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and layered with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output step generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text, and 2. The psychological hierarchical structure generation support program according to claim 1, wherein the candidate text output procedure generates and outputs candidate text for another hierarchy based on hierarchical text corresponding to the hierarchy adjacent to the hierarchy for which candidate text is to be generated.

3. A psychological hierarchical structure generation support program according to claim 1 or 2, wherein the steps of obtaining information for hierarchy construction and outputting candidate text are repeated until hierarchical text corresponding to each of all levels of the psychological hierarchical structure is obtained.

4. A psychological hierarchical structure generation support program as described in any one of claims 1 to 3, including a consistency evaluation procedure, wherein the consistency evaluation procedure calculates and outputs a consistency score between hierarchical text corresponding to one hierarchy and hierarchical text corresponding to the other hierarchy.

5. The psychological hierarchical structure generation support program according to claim 4, wherein said consistency evaluation step calculates and outputs a consistency score between hierarchical texts corresponding to two adjacent hierarchical levels.

6. The psychological hierarchical structure generation support program according to claim 4 or 5, wherein said consistency evaluation step outputs suggested information for hierarchical texts corresponding to hierarchical levels whose consistency scores are equal to or less than a threshold value.

7. A psychological hierarchical structure generation support program as described in any one of claims 1 to 6, including a psychological hierarchical structure output procedure, wherein the psychological hierarchical structure output procedure outputs an image showing the psychological hierarchical structure based on the hierarchical text.

8. A psychological hierarchical structure generation support device comprising: a hierarchy construction information acquisition unit and a candidate text output unit, wherein the hierarchy construction information acquisition unit acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and stacked with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output unit generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical texts.

9. The psychological hierarchical structure generation support device according to claim 8, wherein the candidate text output unit generates and outputs candidate text for another hierarchy based on hierarchical text corresponding to the hierarchy adjacent to the hierarchy for which candidate text is to be generated.

10. A psychological hierarchical structure generation support device according to claim 8 or 9, wherein the processing by the hierarchy construction information acquisition unit and the candidate text output unit is repeated until hierarchical text corresponding to each of all levels of the psychological hierarchical structure is acquired.

11. A psychological hierarchical structure generation support device as described in any one of claims 8 to 10, including a consistency evaluation unit, which calculates and outputs a consistency score between hierarchical text corresponding to one hierarchy and hierarchical text corresponding to the other hierarchy.

12. The psychological hierarchical structure generation support device according to claim 11, wherein said consistency evaluation section calculates and outputs a consistency score between hierarchical texts corresponding to two adjacent hierarchical levels.

13. The psychological hierarchical structure generation support device according to claim 11 or 12, wherein the consistency evaluation unit outputs suggested information for hierarchical texts corresponding to hierarchical levels whose consistency scores are equal to or less than a threshold value.

14. A psychological hierarchical structure generation support device as described in any one of claims 8 to 13, including a psychological hierarchical structure output unit, which outputs an image showing the psychological hierarchical structure based on the hierarchical text.

15. A psychological hierarchical structure generation support method, comprising: a hierarchy construction information acquisition step and a candidate text output step, wherein the hierarchy construction information acquisition step acquires construction information for constructing a psychological hierarchical structure, the psychological hierarchical structure is information in which a plurality of hierarchies are linked and layered with hierarchical texts corresponding to the hierarchies, the hierarchies include at least one selected from the group consisting of a vision layer, a mission layer, a business model layer, an objective layer, a work layer, and a belief layer, the hierarchical texts include at least one selected from the group consisting of a vision text, a mission text, a business model text, an objective text, a work text, and a belief text, the construction information includes at least one hierarchical text that constitutes the psychological hierarchical structure, and the candidate text output step generates and outputs candidate texts for other hierarchies that constitute the psychological hierarchical structure based on the hierarchical text, and 16. A psychological hierarchical structure generation support method according to claim 15, wherein the candidate text output step generates and outputs candidate text for another hierarchy based on hierarchical text corresponding to the hierarchy adjacent to the hierarchy for which candidate text is to be generated.

17. A method for supporting the generation of a psychological hierarchical structure according to claim 15 or 16, wherein the process of acquiring information for hierarchy construction and the process of outputting candidate text are repeated until hierarchical text corresponding to each of all levels of the psychological hierarchical structure is acquired.

18. A psychological hierarchical structure generation support method as described in any one of claims 15 to 17, including a consistency evaluation process, in which the consistency evaluation process calculates and outputs a consistency score between hierarchical text corresponding to one hierarchy and hierarchical text corresponding to the other hierarchy.

19. The psychological hierarchical structure generation support method according to claim 18, wherein said consistency evaluation step calculates and outputs a consistency score between hierarchical texts corresponding to two adjacent hierarchical levels.

20. A computer-readable recording medium having recorded thereon a psychological hierarchical structure generation support program for causing a computer to execute each of the above steps, the computer-readable recording medium storing therein a psychological hierarchical structure generation support program for causing a computer to execute each of the above steps, the ...

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