JP7474377B1 - Text creation support system, information processing method and program - Google Patents

Abstract

[Problem] To provide an information processing system etc. that can facilitate the creation of a document relating to a job seeker's work history. [Solution] According to one aspect of the present invention, a document creation support system is provided. This document creation support system includes a processor, and in an input step, the processor displays an input screen that accepts input of job seeker information relating to a job seeker. In an instruction step, the processor instructs an artificial intelligence to create a document relating to the job seeker's work history based on the job seeker information, and the artificial intelligence has a learning model that takes the job seeker information as input and outputs a document. In a display step, the document output by the artificial intelligence based on the instruction is displayed. [Selected Figure] Figure 1

Description

The present invention relates to a writing support system, an information processing method, and a program.

Conventionally, devices have been proposed that use templates to assist in document creation (for example, Patent Document 1).

JP 2009-230705 A

When job seekers are job hunting or changing jobs, they need to prepare documents such as resumes and curriculum vitae that include information about their work history in order to communicate their job duties and skills to employers such as companies, but preparing such documents takes time and effort.

In view of the above, the present invention aims to provide an information processing system etc. that can facilitate the creation of documents related to a job seeker's work history.

According to one aspect of the present invention, a writing support system is provided. The writing support system includes a processor, and in an input step, the processor displays an input screen that accepts input of job seeker information about a job seeker. In an instruction step, the processor instructs an artificial intelligence to write a piece of writing about the job seeker's work history based on the job seeker information, and the artificial intelligence has a learning model that receives job seeker information as input and outputs writing. In a display step, the processor displays the writing output by the artificial intelligence based on the instructions.

This aspect makes it easier to create a resume.

1 is a diagram showing an overall configuration of a writing support system 1. FIG. FIG. 2 is a diagram illustrating a hardware configuration of the server device 10. FIG. 2 is a diagram illustrating a hardware configuration of a job seeker terminal 20. FIG. 2 is a diagram illustrating the functional configuration of a control unit of each device. FIG. 11 is an activity diagram showing an example of a sentence generation process. FIG. 13 illustrates an example of a registration screen. FIG. 13 is a diagram showing an example of a creation screen. FIG. 13 is a diagram illustrating an example of an input screen. FIG. 13 is a diagram showing an example of displayed input candidates. FIG. 13 is a diagram showing another example of the input screen. FIG. 13 is a diagram showing another example of the input screen. FIG. 13 is a diagram showing another example of the input screen. FIG. 13 is a diagram showing an example of a screen prompting a user to create a document regarding work history. FIG. 13 is a diagram showing an example of the progress of a displayed text regarding work history. FIG. 13 is a diagram showing an example of a completed text for an entire chapter. FIG. 13 is a diagram showing an example of a displayed text regarding work history. FIG. 11 is a diagram showing an example of an input screen that is displayed again. FIG. 13 is a diagram illustrating an example of a table. FIG. 13 is a diagram illustrating another example of the table. FIG. 13 is a diagram illustrating another example of the table. FIG. 13 is a diagram illustrating another example of the table. FIG. 13 is a diagram showing another example of a displayed text regarding work history. FIG. 13 is a diagram illustrating an example of a table. FIG. 13 is a diagram illustrating another example of the table. FIG. 13 is a diagram illustrating another example of the table. FIG. 13 is a diagram illustrating another example of the table. FIG. 13 is a diagram illustrating another example of the table.

The following describes embodiments of the present invention with reference to the drawings. The various features shown in the following embodiments can be combined with each other.

The program for implementing the software used in this embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so that it can be downloaded from an external server, or may be provided so that the program is started on an external computer and its functions are implemented on a client terminal (so-called cloud computing).

In this embodiment, a "unit" may also include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In addition, this embodiment handles various types of information, which may be represented, for example, by physical values of signal values representing voltage and current, high and low signal values as a binary bit group consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculations may be performed on a circuit in the broad sense.

In the broad sense, a circuit is a circuit realized by at least appropriately combining a circuit, circuitry, a processor, and memory. In other words, it includes application specific integrated circuits (ASICs), programmable logic devices (e.g., simple programmable logic devices (SPLDs), complex programmable logic devices (CPLDs), and field programmable gate arrays (FPGAs)), etc.

1. Hardware Configuration In this section, the hardware configuration of the writing support system according to the present embodiment will be described.

Figure 1 shows the overall configuration of the writing support system 1. In Figure 1, an overview of each device included in the writing support system 1 and the users who use those devices is shown. Each overview will be explained from time to time with reference to other figures.

The writing support system 1 is an information processing system that executes writing generation processing, which is information processing for supporting the creation of writing about work history included in documents related to job seekers, such as resumes. A work history, also called a résumé, is a document in which a job seeker conveys to an employer his or her work history, skills, qualifications, etc. to the employer. In this embodiment, the writing support system 1 supports the creation of writing about work history by job seeker U1. Writing about work history is writing that describes the work and tasks that the job seeker has experienced. Note that, although a work history will be used as an example of the document to be created, the description is not limited to this, and any document that includes writing about work history can be used.

The writing support system 1 comprises a communication line 2, a server device 10, and a job seeker terminal 20. The communication line 2 may be configured by the Internet, although it is not particularly limited thereto. The communication line 2 may also include a local area network, a mobile communication network, or a VPN (Virtual Private Network), etc. The communication line 2 mediates data exchange between devices connected to the line. The server device 10 is connected to the communication line 2 by a wire, and the job seeker terminal 20 is connected wirelessly. The connection of each device to the communication line 2 may be wired or wireless.

The server device 10 is an information processing device that executes a sentence generation process while exchanging data with the job seeker terminal 20 via the communication line 2. The server device 10 stores a phrase database DB1 and a registered information database DB2. The phrase database DB1 stores phrases used in the sentence generation process. The registered information database DB2 stores registered information that is registered in advance by the job seeker U1. The server device 10 has an artificial intelligence (AI) function, and generates and outputs sentences related to work history using the information stored in the phrase database DB1 and the registered information database DB2.

The job seeker terminal 20 is a terminal whose user is the job seeker U1. The job seeker terminal 20 is a smartphone, a tablet terminal, a personal computer, etc. The job seeker terminal 20 accepts input necessary for the text generation process and displays the generated text related to work history.

Figure 2 is a diagram showing the hardware configuration of the server device 10. The server device 10 includes a control unit 11, a storage unit 12, a communication unit 13, and a bus 14. The bus 14 electrically connects the various units included in the server device 10.

(Control unit 11)
The control unit 11 may include at least one processor. The at least one processor may be, for example, a central processing unit (CPU), a micro processing unit (MPU), a graphics processing unit (GPU), one or more integrated circuits, one or more discrete circuits, or a combination of these. The control unit 11 is a computer that realizes various functions related to the writing support system 1 by reading out a predetermined program stored in the storage unit 12. That is, information processing by software stored in the storage unit 12 can be specifically realized by the control unit 11, which is an example of hardware, and executed as each functional unit included in the control unit 11. These will be described in more detail in the next section. Note that the control unit 11 is not limited to being single, and may be implemented to have multiple control units 11 for each function. Also, a combination of these may be used.

(Memory unit 12)
The storage unit 12 stores various information defined by the above description. This can be implemented, for example, as a storage device such as a solid state drive (SSD) or a hard disk drive (HDD) that stores various programs and the like related to the writing support system 1 executed by the control unit 11, or as a memory such as a random access memory (RAM) that stores temporarily required information (arguments, arrays, etc.) related to the program calculations. The storage unit 12 stores various programs, variables, etc. related to the writing support system 1 executed by the control unit 11.

(Communication unit 13)
The communication unit 13 is configured by a communication module. The communication module may be a wireless communication module conforming to standards such as IEEE802.11a/b/g/n/ac/ax, LTE, 5G, and 6G, or may be a wired communication module conforming to standards such as IEEE802.3. The communication unit 13 is configured to be capable of transmitting various electrical signals from the server device 10 to external components. The communication unit 13 is also configured to be capable of receiving various electrical signals from the external components to the server device 10. More preferably, the communication unit 13 has a network communication function, and may be capable of communicating various information between the server device 10 and external devices via the communication line 2.

Figure 3 is a diagram showing the hardware configuration of the job seeker terminal 20. The job seeker terminal 20 comprises a control unit 21, a memory unit 22, a communication unit 23, an input unit 24, an output unit 25, and a bus 26. The bus 26 electrically connects the various units of the job seeker terminal 20. The control unit 21, the memory unit 22, and the communication unit 23 are similar hardware to the control unit 11, the memory unit 12, and the communication unit 13 shown in Figure 2, although the specifications, model, etc. may be different.

(Input unit 24)
The input unit 24 has keys, buttons, a touch screen, a mouse, etc., and receives input from the user. The input unit 24 may also have a microphone and receive voice input from the user.

(Output unit 25)
The output unit 25 has a display, a speaker, and the like, and displays visual information generated in a manner that is visible to the user, such as screens, images, icons, text, and the like, on the display surface of the display, and outputs sounds including voice.

2. Functional Configuration In this section, the functional configuration of the present embodiment will be described. As described above, information processing by software stored in the storage unit of each device is specifically realized by a control unit, which is an example of hardware, so that each functional unit included in the control unit can be executed.

Figure 4 is a diagram showing the functional configuration of the control unit of each device. The control unit 11 of the server device 10 includes a server display unit 111, a memory control unit 112, an AI control unit 113, an artificial intelligence unit 114, a parameter acquisition unit 115, and a candidate determination unit 116. The job seeker terminal 20 includes a user display unit 211 and an operation reception unit 212.

The server display unit 111 executes processing for displaying a system screen related to the writing support system 1 on each terminal. For example, the server display unit 111 performs processing such as generating and transmitting an HTML (Hyper Text Markup Language) file, and displays a web page showing the system screen on the job seeker terminal 20. The server display unit 111 may also perform processing such as generating and transmitting display data for an application for using the writing support system 1.

The server display unit 111 displays a registration screen and an input screen for job seeker information on a job seeker. The job seeker information is information on a job seeker, including job seeker information (registration information) entered on the registration screen and registered in advance, and job seeker information (input information) entered on an input screen for creating a text on work history, and includes all information on the job seeker that has been registered or input. The job seeker information is, for example, information such as the age, address, occupation, and job title of the job seeker. The memory control unit 112 controls the memory unit 12 of the device itself, and writes and reads data to the memory unit 12. The memory control unit 112 stores, for example, the job seeker information (registration information) registered on the registration screen and the job seeker information (input information) entered on the input screen. The AI control unit 113 controls the input to the artificial intelligence unit 114. The AI control unit 113 generates a prompt that indicates that a text on work history is to be output using, for example, the job seeker information entered on the input screen for job seeker information as input.

The artificial intelligence unit 114 is an AI equipped with learning models such as language models, such as transformers including GPT (Generative Pretrained Transformer, including GPT-1, GPT-2, and GPT-3), BERT (Bidirectional Encoder Representations from Transformers), or BART (Bidirectional and Auto-regressive Transformer).

A learning model (also called a machine learning model) is a learning model based on a machine learning algorithm. Specific examples of machine learning algorithms include nearest neighbor methods, naive Bayes methods, decision trees, and support vector machines. Another example is deep learning, which uses a neural network to generate features and connection weighting coefficients for learning. The artificial intelligence unit 114 can apply the above algorithms as appropriate.

The artificial intelligence unit 114 performs machine learning using teacher data. Teacher data refers to learning data, and is composed of pairs of input data for learning and output data (correct answer data). Note that a trained model refers to a model that has been trained (learned) in advance using appropriate teacher data (learning data) for a machine learning model that follows any machine learning algorithm, such as deep learning.

However, although the trained model has obtained appropriate training data in advance, this does not mean that no further learning is performed, and additional learning can also be performed. Additional learning is also performed after the device is installed at the site of use. Furthermore, the artificial intelligence unit 114 may perform machine learning using so-called unsupervised learning to construct a trained model. Unsupervised learning is a method in which a large amount of input data alone is provided to allow the input data to be learned, and processing is learned without providing output data corresponding to the input data.

The artificial intelligence unit 114 takes job seeker information as input and outputs text related to work history based on the prompt generated by the AI control unit 113. The parameter acquisition unit 115 acquires predetermined parameters related to the job seeker. The parameters include, for example, input information already entered and included in the input screen, and registered information related to the job seeker that has been registered in advance. Details of each parameter will be described later. The candidate determination unit 116 determines words and phrases according to the acquired parameters as input candidates. The input candidates referred to here are candidates for words and phrases that are entered or selected by the job seeker as job seeker information on the input screen.

The user display unit 211 of the job seeker terminal 20 displays a system screen relating to the writing support system 1 indicated by the screen data transmitted from the server device 10. The operation reception unit 212 receives operations by a user using the job seeker terminal 20. When a job seeker U1 operates the job seeker terminal 20 as a user to use the writing support system 1, he or she logs in by entering a user ID (Identification) and password. This associates the user ID with information generated in the job seeker terminal 20, making it possible to know which user the information pertains to.

3. Information Processing In this section, information processing (writing generation processing for generating writing related to work history) in which a program is executed by a computer that controls the writing support system 1 in this embodiment will be described. The writing support system 1 includes a processor capable of executing a program so as to perform each step shown in the following FIG. 5 and the like.

FIG. 5 is an activity diagram showing an example of a text generation process. The text generation process shown in FIG. 5 is initiated when a job seeker U1 operates the job seeker terminal 20 to display a registration screen for registering basic information about the job seeker in advance as registration information. First, the job seeker terminal 20 accepts an operation to display the registration screen via the operation acceptance unit 212 (A11). The operation acceptance unit 212 transmits first request data to the server device 10, which requests the display of the registration screen.

The server device 10 generates, via the server display unit 111, registration screen data showing the registration screen requested by the transmitted first request data (A12). The server display unit 111 transmits the generated registration screen data to the job seeker terminal 20. The job seeker terminal 20 displays, via the user display unit 211, the registration screen shown in the transmitted registration screen data.

FIG. 6 is a diagram showing an example of a registration screen. In the example of FIG. 6, the user display unit 211 displays the writing support system screen G1. The writing support system screen G1 displays the character string "Please enter registration information.", an input field C1 for registration information, and a registration button B11. The input field C1 is an area for inputting registration information including "basic information" such as "name", "age", "address", "date of birth" and "current annual income", "desired conditions" such as "desired job type", "desired industry", "desired place of work" and "desired annual income", "educational background" such as "school name" and "year of graduation", "work history" such as "company name", "department name", "job title" and "tenure period", and other items such as "awards", "experienced job type", "experienced industry", "qualifications", and "language ability".

In "Occupational Experience" and "Industry of Experience", the number of years of experience for each occupation or industry can be entered, respectively. In addition, "Work History" includes a Details button B12 for displaying a screen for entering "Work History Details" and writing a document related to the work history.

The job seeker terminal 20 accepts, via the operation acceptance unit 212, an operation on the registration button B11 when input has been made to the input field C1 as a registration operation (A14), and transmits the entered registration information to the server device 10. The server device 10 stores the transmitted registration information in the registration information database DB2 as job seeker information via the storage control unit 112 (A15).

Next, the job seeker U1 presses, for example, the details button B12 as an operation to display a creation screen for creating a document related to work history on the job seeker terminal 20. The job seeker terminal 20 accepts an operation to display the creation screen through the operation acceptance unit 212 (A21). The operation acceptance unit 212 transmits second request data requesting the display of the creation screen to the server device 10. When the second request data is transmitted, the server device 10 generates creation screen data showing the creation screen through the server display unit 111 (A22). The server display unit 111 transmits the generated creation screen data to the job seeker terminal 20. The job seeker terminal 20 displays the creation screen shown by the transmitted creation screen data through the user display unit 211.

Figure 7 is a diagram showing an example of a creation screen. In the example of Figure 7, the user display unit 211 displays the writing support system screen G2. The writing support system screen G2 displays the character string "Edit position/project name", input fields C21, C22, and C23 for the position name or project name, work period, and work content, respectively, and an auto-generate button B2. Job seeker U1 inputs the position name or project name and work period into input fields C21 and C22, respectively.

Input field C23 is an area for inputting text describing the work content as text related to work history. Text describing the work content is text describing the actual work performed by job seeker U1 in the jobs he or she has had, the results, and the selling points that can be made appealing to employers, and is an example of text related to work history. Here, the work content corresponding to the job title or project name and work period entered in input fields C21 and C22 is entered into input field C23.

The job seeker U1 can enter information in the input field C23 himself/herself, but can also operate the auto-generate button B2 to automatically generate text explaining the work content as text related to the work history. When the job seeker terminal 20 accepts an operation on the auto-generate button B2 via the operation acceptance unit 212, it transmits third request data to the server device 10 requesting the automatic generation of text related to the work history (A24).

When the third request data is transmitted, the server device 10 first acquires, by the parameter acquisition unit 115, predetermined parameters related to the job seeker (A31). At the stage when the parameter acquisition unit 115 receives the third request data, it acquires the registration information of the job seeker U1 stored in the registration information database DB2 in A15 and the information entered on the writing support system screen G2 (job title or project name and work period) as parameters related to the job seeker. Next, the server device 10 generates, by the server display unit 111, input screen data showing an input screen for inputting information necessary to generate writing related to work history, and transmits the generated data to the job seeker terminal 20 (A32). The job seeker terminal 20 displays, by the user display unit 211, the input screen shown by the transmitted input screen data (A33).

Figure 8 is a diagram showing an example of an input screen. In the example of Figure 8, the user display unit 211 displays the writing support system screen G3. The writing support system screen G3 displays the character string "Enter information to create work history", a stage image D3 indicating the stage of information input, the character string "Please tell us your occupation (up to three)", an occupation input field C31, a list of recommended occupations for the job seeker U1 C32, a back button B31, and a forward button B32.

The job seeker information that is input to create a document about work history includes "job type," "position," "mission," and "business area," all of which are information about the job seeker, and are hereinafter referred to as "input information." In this embodiment, stage image D3 indicates that this is the first stage (job type input stage) of the five information input stages.

An upper limit (three in the example of FIG. 8) is set for the number of job types that can be entered into the input field C31. The server display unit 111 sets this upper limit on the number that can be entered based on the registration information, which is the acquired parameter. For example, the server display unit 111 stores a table that associates the number of years of experience indicated by the "experienced job type" included in the registration information with the upper limit on the number that can be entered, and sets the upper limit to the number associated with the number of years of experience indicated by the "experienced job type" included in the registration information acquired as a parameter.

The candidate designation unit 116 also stores a table that associates the "experienced occupation" included in the registration information with recommended occupations, and determines the recommended occupations (occupation A, occupation B, and occupation C, etc. in the example of FIG. 8) that correspond to the "experienced occupation" included in the registration information acquired as a parameter. Note that other information that can be associated with the recommended occupations may be the "company name," "department name," and "job title" that are input as work experience on the screen shown in FIG. 6, or the "job title" and "project name" that are input as work experience details on the screen shown in FIG. 7. The server display unit 111 displays the determined recommended occupations in the occupation list C32. The job seeker terminal 20 accepts input operations into the occupation input field C31 via the operation acceptance unit 212 (A34).

Input into the input field C31 may be an operation of selecting from the job type list C32, or an operation of inputting one character at a time on the keyboard. When the operation reception unit 212 receives an input operation of one character at a time, it transmits operation data indicating the input characters to the server device 10. The server device 10 stores a job type master including the names of various job types, and the candidate determination unit 116 searches the job type master for job types including the characters indicated by the operation data, and determines the search results as input candidates (A35). The candidate determination unit 116 transmits the determined input candidates to the job seeker terminal 20. The job seeker terminal 20 displays the transmitted input candidates by the user display unit 211 (A36).

FIG. 9 is a diagram showing an example of displayed input candidates. In the example of FIG. 9, the user display unit 211 displays an input candidate list C33 corresponding to the input field C31 shown in FIG. 8. In the example of FIG. 9, the character "e" is entered in the input field C31, and the input candidates "sales planning", "sales administration", and "sales promotion" are displayed in the input candidate list C33. In this way, the candidate determination unit 116 performs a so-called incremental search that displays input candidates based on the entered characters. The operation acceptance unit 212 accepts, as an input operation, the selection of a job type from the job type list C32 shown in FIG. 8, the selection of a job type from the input candidate list C33, or the input of a character string indicating a job type from the keyboard.

When the operation acceptance unit 212 accepts an operation on the back button B31, the job seeker terminal 20 displays the previous screen (the writing support system screen G2 shown in FIG. 7 for the back button B31 in FIG. 8) on the user display unit 211. When the operation acceptance unit 212 accepts an operation on the forward button B32, the job seeker terminal 20 transmits the input information entered in the input field C31 to generate a text about work history to the writing support system screen G3 in association with the writing support system screen G3 to the server device 10 (A41). The server device 10 acquires the transmitted input information as job seeker information by the storage control unit 112 (A42), and stores the acquired job seeker information in association with the writing support system screen G3 (A43).

If there is any input information that has not been entered, the server device 10 returns to A31 and continues operation. When the input of input information for generating text related to work history has progressed, the parameter acquisition unit 115 acquires the input information saved in A43 as parameters related to the job seeker, in addition to the registration information of the job seeker U1 described above. Then, A32 (generation of an input screen) and A33 (display of the input screen) are performed.

Figure 10 is a diagram showing another example of an input screen. In the example of Figure 10, the user display unit 211 displays the writing support system screen G4. The writing support system screen G4 displays the character string "Enter information to create work history", a stage image D4 indicating the stage of information input, the character string "Please tell us your position (up to one)", a position input field C41, a list of recommended positions C42 for the job seeker U1, a back button B41, and a forward button B42. The position is a name that indicates the job title in a more general way, such as member, leader, manager, department head, or division head.

The stage image D4 indicates that it is the second stage (position input stage) out of five information input stages. An upper limit (one in the example of FIG. 10) is set for the number of positions that can be input in the input field C41. For example, the server display unit 111 sets this upper limit of the number that can be input based on at least one of the acquired parameters, the registration information and the input information. For example, the server display unit 111 stores a table that associates the upper limit with either or both of the "experienced occupation" included in the registration information and the "occupation" included in the input information entered in the input field C31, and sets the upper limit to the number associated with either or both of the "experienced occupation" included in the registration information acquired as a parameter and the "occupation" included in the acquired input information.

The candidate designator 116 also stores a table that associates, for example, either or both of the "experienced occupation" included in the registration information and the "occupation" included in the input information with recommended positions, and determines recommended positions (position A, position B, position C, etc. in the example of FIG. 10) that are associated with either or both of the "experienced occupation" included in the registration information acquired as a parameter and the "occupation" included in the acquired input information. The server display unit 111 displays the determined recommended positions in the position list C42.

The job seeker terminal 20 accepts an input operation into the position input field C41 through the operation acceptance unit 212 (A34). The input method into the input field C41 is the same as that for the input field C31 shown in FIG. 8 (selection from the list of recommended positions C42, selection from the list of input candidates, or input of a character string). Furthermore, when an operation is performed on the forward button B42, the processes from A41 to A43 are executed in the same manner as when the forward button B32 shown in FIG. 8 is operated, and the input position is saved as input information in the server device 10.

After the position is input, since there is input information that has not been input, A31 (acquisition of parameters), A32 (generation of an input screen), and A33 (display of the input screen) are performed.
Fig. 11 is a diagram showing another example of the input screen. In the example of Fig. 11, the user display unit 211 displays the writing support system screen G5. The writing support system screen G5 displays a character string "Input information for creating a work history", a stage image D5 indicating a stage of information input, a character string "Please tell us your mission", a mission input field C51, a list of recommended missions C52 for the job seeker U1, a back button B51, and a forward button B52.

The stage image D4 indicates that it is the third stage (mission input stage) out of five information input stages. A mission is a business objective or goal, such as "improving order acceptance rate" or "successful initial operation." In the input field C51, there is no upper limit set on the number of missions that can be input. The candidate determination unit 116 stores a table that associates one or more parameters of the "experienced occupation" included in the registration information, the "occupation" and "position" included in the input information with recommended missions, and determines recommended missions (such as mission A, mission B, and mission C in the example of FIG. 11) that correspond to one or more parameters of the "experienced occupation" included in the registration information acquired as a parameter, and the "occupation" and "position" included in the acquired input information. The server display unit 111 displays the determined recommended missions in the mission list C52.

The job seeker terminal 20 accepts an input operation into the mission input field C51 through the operation acceptance unit 212 (A34). The input method into the input field C51 is the same as that for the input field C31 shown in FIG. 8 (selection from the recommended mission list C52, selection from the input candidate list, or input of a character string). Furthermore, when an operation is performed on the forward button B52, the processes from A41 to A43 are executed in the same manner as when the forward button B32 shown in FIG. 8 is operated, and the inputted mission is saved as input information in the server device 10.

After the mission is input, since there is input information that has not been input, A31 (acquisition of parameters), A32 (generation of an input screen), and A33 (display of an input screen) are performed.
Fig. 12 is a diagram showing another example of the input screen. In the example of Fig. 12, the user display unit 211 displays a writing support system screen G6. The writing support system screen G6 displays a character string "Input information for creating a work history", a stage image D6 indicating a stage of information input, a character string "Please tell us your business area", an input field C61 for a business area, a list C62 of recommended business areas for the job seeker U1, a back button B61, and a forward button B62.

The stage image D4 indicates that it is the fourth stage (business domain input stage) out of five information input stages. A business domain is the specific content of a job, such as "making an appointment" for a sales job, or "managing advertising" for a marketing job. In the input field C61, there is no upper limit set on the number of business domains that can be input. The candidate determination unit 116 stores a table that associates one or more parameters of the "experienced job type" included in the registration information, the "job type," the "position," and the "mission" included in the input information with the recommended business domain, and determines the recommended business domain (business domain A, business domain B, business domain C, etc. in the example of FIG. 12) that corresponds to one or more parameters of the "experienced job type" included in the registration information acquired as a parameter, the "job type," the "position," and the "mission" included in the acquired input information. The server display unit 111 displays the determined recommended business domain in the business domain list C62.

The job seeker terminal 20 accepts an input operation into the input field C61 for the business area through the operation acceptance unit 212 (A34). The input method into the input field C61 is the same as that for the input field C31 shown in FIG. 8 (selection from the list of recommended business areas C62, selection from the list of input candidates, or input of a character string). Furthermore, when an operation is performed on the forward button B62, the processes from A41 to A43 are executed, as in the case where the forward button B32 shown in FIG. 8 is operated, and the input business area is saved as input information in the server device 10.

After the business area is input, the server device 10 generates screen data showing a creation instruction screen for instructing the creation of a document related to work history through the server display unit 111 and transmits the screen data to the job seeker terminal 20. The job seeker terminal 20 displays, through the user display unit 211, the creation instruction screen for a document related to work history shown in the transmitted screen data (A51).

Figure 13 is a diagram showing an example of an instruction screen for creating a text about work history. In the example of Figure 13, the user display unit 211 displays a text creation support system screen G7. The text creation support system screen G7 displays the character string "Automatically generate work content", a stage image D5 indicating the stage of information input, the character strings "Work content will be automatically generated" and "Approximately 400 characters of work content will be generated. Please do not close the screen until generation is complete", a consent button for handling personal information B71, a start button B72 for automatically generating text about work history, and a back button B73.

Stage image D7 indicates that the information input is at the fifth stage (automatic generation) out of five stages. The consent button for handling of personal information B71 is a button that is pressed by an operation such as clicking when the job seeker U1 consents to the handling of personal information contained in the job seeker information including the registration information and input information. When the operation reception unit 212 of the job seeker terminal 20 receives the operation on the consent button B71 and the start button B72 as an operation to generate text related to work history (text related to work content in this case), the job seeker terminal 20 transmits fourth request data to the server device 10 requesting the start of automatic generation of text related to work history (text related to work content) (A52). Note that the start button B72 is controlled so that it cannot be operated until the consent button B71 is operated.

When the fourth request data is transmitted, the server device 10 uses the AI control unit 113 to determine the text structure for the work history to be generated (A53). The AI control unit 113, for example, stores a plurality of text structure templates. Each of the plurality of text structure templates shows a text structure for the work history consisting of a plurality of chapters. The "chapter" here refers to a large group of parts that make up a piece of text. A piece of text includes a plurality of chapters. A "paragraph" indented by one line break may be one chapter, or a plurality of paragraphs may be combined to form one chapter. A chapter may also be divided in the middle of a paragraph. In this embodiment, the number of chapters, the content of each chapter, the order of each chapter, and the amount of each chapter are each determined for each template.

If the content of each chapter is related to the work content included in the text about work history, it may include, for example, the purpose of the work, main work, and other work. The length of each chapter is expressed as a guideline number of characters, a maximum number of characters, or a range of character numbers. The AI control unit 113, for example, stores a table that associates one or more parameters of the registered information and input information with templates of text structure, and determines the text structure indicated by the template associated with the registered information and input information acquired as parameters as the text structure about work history to be generated.

Next, the server device 10 instructs the artificial intelligence unit 114 to generate sentences for each chapter indicated by the determined sentence structure through the AI control unit 113 (A54). The AI control unit 113 generates a prompt indicating the generation of sentences for each chapter based on the job seeker information including the input information. The AI control unit 113 may generate a prompt based on the registered information registered in advance in addition to the input information. In order to indicate the contents to be described in each chapter, the AI control unit 113 generates a prompt including characteristic words and phrases (such as "experience" and "work history") used in sentences related to work history, a description of work (such as work procedures and work contents), a description of the organization (such as the organization name and the organization's role), or a description of results (such as target values and achievement levels). These words and phrases are stored in the word database DB1 shown in FIG. 1.

The AI control unit 113 generates a prompt, for example, "Generate text about the work history of a job seeker with 10 years of management experience." In this case, "management" and "10 years" are information based on the input job seeker information, and "experience" and "work history" are words used in text about work history. The AI control unit 113 also generates a prompt, for example, "Generate results including target values for projects in which the job seeker participated as an engineer." In this case, "engineer" and "project" are information based on the input information, "target value" is a description of the outcome, and "achievements" is a word used in text about work history.

The AI control unit 113 also generates a prompt, for example, "Generate the work procedures and work content of the accounting department to which the job seeker belonged as a sentence explaining the main work." In this case, "accounting department" is information based on the input information entered, and "work procedures" and "work content" are descriptions of the work. The AI control unit 113 also generates a prompt, for example, "Generate a list of departments that the job seeker was involved in during the period he or she belonged to the management department." In this case, "management department" is information based on the input information entered, and "department" is a description of the organization.

The AI control unit 113 instructs the artificial intelligence unit 114 to generate sentences for each chapter using the generated prompts. The artificial intelligence unit 114 executes the sentence generation process for each chapter based on the instructions of each prompt (A55). The artificial intelligence unit 114 creates sentences using words stored in the word database DB1. The artificial intelligence unit 114 transmits each completed chapter's sentence to the job seeker terminal 20. The job seeker terminal 20 displays the transmitted chapter's sentences in order of their transmission by the user display unit 211 (A56).

Figure 14 is a diagram showing an example of the progress of a displayed text about work history. In the example of Figure 14, the user display unit 211 displays a text creation support system screen G8. The text creation support system screen G8 displays the character string "Job content", a text in chapter 1 S11, a text in chapter 4 S14, a confirm button B81, and a regenerate button B82. In this embodiment, it is assumed that a text about work content with a text structure of chapters 1 to 5 is created as a text about work history.

In the example of FIG. 14, the sentences in chapters 1 and 4 are completed and displayed in order, but the sentences in chapters 2, 3, and 5 are not yet completed and are not displayed. Therefore, the Confirm button B81 for confirming the sentences related to the work content cannot be operated. The server device 10 and the job seeker terminal 20 repeatedly execute the processes of A55 (sentence generation process) and A56 (display of sentences related to work history) until the sentences in all chapters are completed.

Figure 15 is a diagram showing an example of the completed sentences for all chapters. All sentences S10 from sentences S11 to S15 for chapters 1 to 5 are displayed in order from the top on the writing support system screen G8 shown in Figure 15. If the job seeker U1 determines that there is no problem with all the generated sentences S10, he or she operates the confirmation button B81. The job seeker terminal 20 then displays the completed sentences related to the work content in order from the top on the user display unit 211 (A57).

Figure 16 is a diagram showing an example of a displayed text about work history. In the example of Figure 16, the user display unit 211 displays the text creation support system screen G2 shown in Figure 7. The user display unit 211 displays the entire text S10 about the work content generated as text about work history in the work content input field C23. The text displayed in the input field C23 is editable, and can be manually corrected by the job seeker U1.

When job seeker U1 wishes to rewrite the generated work history text (text related to job duties) on the text creation support system screen G8 shown in FIG. 15, he/she operates the regenerate button B82. When this regenerate operation is performed, the server device 10 returns to A31 (acquisition of parameters) shown in FIG. 5 and performs the operation. When generating input screen data in A32, the server device 10 generates input screen data in a state where the input information has been entered in the job type input field C31.

Figure 17 is a diagram showing an example of an input screen that is displayed again. In the example of Figure 17, the user display unit 211 displays the writing support system screen G3 shown in Figure 8. In the writing support system screen G3, the input field C31 is displayed with the previously entered "occupation B" entered. The input fields for the other stages are also displayed with the previously entered input information entered. When input information is entered again and the artificial intelligence unit 114 automatically generates a text about work history, the server display unit 111 displays, for example, the writing support system screen G2 on which the generated text about work history has been overwritten.

The server display unit 111 may leave the previous work history text and display the new work history in a separate input field C23, or may add and display the new work history under the same input field. When regenerating work history text, the AI control unit 113 may also input the previously generated work history text to the artificial intelligence unit 114 and use it to regenerate the work history text.

As described above, in the writing support system 1, the server display unit 111 functions as an example of an input unit that displays an input screen that accepts the input of job seeker information related to a job seeker. Writing support system screens G3, G4, G5, and G6 shown in Figures 8, 10, 11, and 12 are each examples of input screens. In addition, the "job type," "position," "mission," and "business area" input on these input screens are each examples of job seeker information.

The AI control unit 113 also functions as an example of an instruction unit that instructs the artificial intelligence unit 114 to create a document related to the job seeker's work history based on job seeker information including registered information and input information. The job seeker information here includes the input information and pre-registered registered information. The artificial intelligence unit 114 is an example of artificial intelligence, and has a learning model that receives job seeker information related to the job seeker (the input job seeker information and pre-registered registered information) as input and outputs a document related to the work history.

This learning model is a trained model that has been machine-learned on training job seeker information. Training job seeker information is job seeker information used as training data for training the learning model. Training job seeker information is information about a job seeker other than job seeker U1, who is a user of writing support system 1, but may also include registration information and input information for job seeker U1.

This learning model may also be a model generated by performing so-called supervised machine learning, whereby, for example, training data is generated by pairing and matching job seeker information of a job seeker who has previously conducted a job search as input data for training (explanatory variables) with output data for training (objective variables) such as resumes and other work history documents submitted by the job seeker to the company or other entity where the job seeker actually found employment (i.e., the most effective work history documents), and the like.

The learning model may also be generated by learning from any corpus (a database that structures and accumulates natural language sentences on a large scale), and includes job seeker information for learning as one of the large number of corpora. The artificial intelligence unit 114 uses this learning model to create optimal work history sentences derived from the input information about the job seeker, and outputs the created sentences. The server display unit 111 also functions as an example of a display unit that displays the work history sentences output by the artificial intelligence unit 114 based on instructions from the AI control unit 113.

According to this aspect, even if the job seeker U1 does not know how to give instructions to the artificial intelligence unit 114 or how to create prompts, he or she can create documents related to his or her work history, such as documents explaining the details of the work, simply by registering information related to the job seeker as registration information in advance or by selecting or inputting information in order according to instructions on the screen, making it easier for the job seeker U1 to create documents related to his or her work history than if he or she gave instructions to the artificial intelligence unit 114 himself or herself.

In addition, in the writing support system 1, the server display unit 111 functions as an example of a re-input unit that displays, as an input screen, a screen (hereinafter referred to as a "re-input screen") that displays, in an editable manner, the job seeker information that was input when the AI control unit 113 gave an instruction to the artificial intelligence unit 114. The writing support system screen G3 shown in FIG. 17 is an example of a re-input screen that displays, in an editable manner, the job seeker information that was input ("Occupation B" in the example of FIG. 17).

The AI control unit 113 (an example of an instruction unit) again instructs the user to create a statement regarding work history based on the job seeker information edited on the re-input screen. According to this aspect, the user can easily repeat tasks such as inputting job seeker information, creating a statement regarding work history, determining whether the statement is correct, re-inputting job seeker information, and re-creating the statement regarding work history. Furthermore, the user can easily repeat the task of repeatedly creating a statement regarding work history compared to when the re-input screen is not displayed.

In addition, in the writing support system 1, the job seeker information includes information on a number of items (in this embodiment, "job type," "position," "mission," and "business area") that are input to the artificial intelligence unit 114 and used to output writing. The server display unit 111 (an example of an input unit) switches between and displays individual input screens (in this embodiment, writing support system screens G3, G4, G5, and G6) for each of the two or more items that request the input of job seeker information corresponding to at least two or more of the multiple items.

When there are multiple items of information to be entered on one input screen, for example if the input fields are adjacent, it is possible that information from an adjacent item may be entered by mistake; however, if separate input screens are displayed as described above, such mistakes will not occur. Thus, according to this embodiment, compared to when separate input screens are not displayed, it is possible to reduce input errors and reduce the psychological burden on the user regarding input. Furthermore, compared to when separate input screens are not displayed, it is possible to more reliably obtain input information (job type, etc.) required to generate text related to work history.

In addition, in the writing support system 1, the server display unit 111 (an example of an input unit) displays a plurality of objects corresponding to each of the individual input screens described above on all of the individual input screens, and displays the object among the plurality of objects corresponding to the individual input screen being input in a manner different from other objects. The objects are, for example, images indicating "job type," "position," "mission," "business area," and "automatic generation" included in the stage image D3 shown in FIG. 8.

In the example of Figure 8, the server display unit 111 shows the edges of the "job type" image corresponding to the input screen being entered with a solid line, and the edges of the other images with a dotted line. By displaying these objects, job seeker U1 can understand that there are five stages to the automatic generation of text, and that he or she is currently in the first stage. According to this aspect, it is easier to grasp the overall picture of the input work compared to when the above objects are not displayed.

In addition, in the writing support system 1, the parameter acquisition unit 115 functions as an example of an acquisition unit that acquires predetermined parameters (registration information and input information) related to the job seeker. Then, the server display unit 111 (input unit) displays words corresponding to the acquired parameters as input candidates for each input item. Each word shown in the input candidate list C33 of FIG. 9 ("sales planning," "sales administration," and "sales promotion") is an example of an input candidate. According to this aspect, words that suit the job seeker can be displayed as input candidates, and input can be made easier than when input candidates are not displayed.

The above parameters include registration information related to the job seeker that has been registered in advance. Each piece of information shown in FIG. 6 (such as "basic information," "desired conditions," "educational background," and "work history") is an example of registration information. The registration information may also be other information such as that written on a resume. The parameters also include job seeker information (input information) that has been entered in specified items included in the input screen. "Job type," "Position," "Mission," and "Business area" shown in FIG. 8, FIG. 10, FIG. 11, and FIG. 12 are each examples of specified items. The specified items are not limited to these, and may be limited to the first few items or important items, etc.

If the parameters contain registration information, the input candidates can be optimized from the first input item on the input screen that has not yet been filled in. On the other hand, if the parameters contain input information, the input candidates can be optimized without any prior work, simply by entering information on the input screen.

In addition, in the writing support system 1, the server display unit 111 (an example of an input unit) displays search results for words corresponding to the input characters as input candidates each time a character is input on the input screen. The server display unit 111 performs a forward match search each time a character for search is input by the user, and displays the search results as input candidates. The character "e" shown in FIG. 9 is an example of an input character, and "sales planning," "sales administration," and "sales promotion" are examples of search results. In an incremental search, each time a character is input and acquired, a search is performed for a word corresponding to the characters obtained by adding the newly input character to one or more characters already acquired. In this way, an incremental search is performed in which the search results are refreshed each time a character is input, making input easier than when the search results are fixed.

The server display unit 111 may perform not only an exact match but also a fuzzy search that includes ambiguity such as spelling variations and synonymous expressions as a search for words corresponding to the input characters. The server display unit 111 may also perform an interactive search that is personalized for each job seeker according to acquired parameters related to the job seeker as a search for words corresponding to the input characters. For example, when the job type "engineer" is acquired as a parameter, the server display unit 111 searches for words related to engineers. This makes it possible to display input candidates that are optimized for each job seeker even when the same characters are input.

In addition, in the writing support system 1, writing on work history has two or more chapters. Chapters 1 to 5 shown in FIG. 15 are examples of two or more chapters. The AI control unit 113 (an example of an instruction unit) issues instructions to create writing on work history for each of those chapters. Then, the server display unit 111 (an example of a display unit) displays two or more chapters output by the artificial intelligence unit 114 side by side as a writing. The entire writing S10 shown in FIG. 15 is an example of a writing in which the output chapters are lined up. By issuing instructions to create writing for each chapter in this way, it is possible to issue more appropriate instructions that are more in line with the contents of the chapters than when instructions to create writing are issued for the entire writing, and it is possible to create writing on work history with more appropriate content.

In addition, in the writing support system 1, when the artificial intelligence unit 114 outputs multiple chapters in sequence, the server display unit 111 (an example of a display unit) displays the chapters output from the artificial intelligence unit 114 in sequence, without waiting for all chapters to be completed. Chapters 1 and 4 shown in FIG. 14 are examples of chapters output without waiting for all chapters to be completed. According to this aspect, completed chapters are displayed in sequence, allowing the user to experience the responsiveness of the automatic writing generation by the artificial intelligence unit 114.

In addition, in the writing support system 1, the AI control unit 113 (an example of an instruction unit) issues instructions using instruction data including words and phrases used in writing about work history, descriptions of work, descriptions of organizations, or descriptions of results, as described above. The instruction data is data indicating instructions to the artificial intelligence unit 114, and a prompt is an example of such data. According to this aspect, it is possible to more reliably include necessary content in writing about work history, compared to when the above instruction data is not used.

<Other embodiments>
The job seeker information is not limited to the information shown in FIG. 8 etc. The job seeker information may include, for example, skills, qualifications, language ability, years of experience, desired industry, desired job type, desired work area, desired commute time, and selling points. In this way, information included in the registration information may be input as the job seeker information. Furthermore, the contents of each chapter included in the text regarding work history are not limited to those shown in FIG. 15. For example, the contents of each chapter may include business plans, organizational structure, customer status, products, etc.

<Artificial Intelligence>
The artificial intelligence unit 114 may use a language model (for example, a language model using a neural network). A language model is a model of human language using the occurrence probability of words. This makes it possible to generate more natural sentences than when a language model is not used.

In addition, in the writing support system 1, the artificial intelligence may be an external component. Even in this case, the AI control unit 113 instructs the external artificial intelligence to generate text, and the server display unit 111 displays the text output by the artificial intelligence on the job seeker terminal 20, thereby generating text related to work history. In this way, text related to work history can be generated by utilizing various external artificial intelligence services.

<Learning model>
In the embodiment, the learning model is a model that is machine-learned from learning job seeker information, but is not limited thereto. For example, the learning model may be a model that is machine-learned from learning job seeker information (general job seeker information) and a job posting as learning data. A job posting is a document created to convey to a job seeker an overview of the personnel required by an employer. The job posting may be created for an actual job seeker, or may be created for a fictitious job seeker. According to this embodiment, a document regarding work history that takes into account the content required by the employer can be created.

<Chapter structure for work history essay>
In the embodiment, the number of chapters in the text on work history, the contents of each chapter, the order of each chapter, and the amount of each chapter are each determined, but this is not limited to the above. For example, the AI control unit 113 (an example of an instruction unit) may instruct the generation of text on work history so that the number of chapters, the contents of each chapter, the display order of each chapter, or the amount of each chapter corresponds to the input on the presented input screen. The AI control unit 113 instructs the generation of text using, for example, a table that associates job seeker information with the contents and number of each chapter.

Figure 18 is a diagram showing an example of a table. In the example of Figure 18, table TB1 is shown which associates the years of experience, which is input information, with the number of chapters when the years of experience is input as input information. In table TB1, the years of experience of "Less than Th1", "Th1 or more and less than Th2", and "Th2 or more" are associated with the chapter numbers of "N1", "N2", and "N3" (N1<N2<N3). The AI control unit 113 instructs the artificial intelligence unit 114 to generate sentences for each chapter the same number of times as the number of chapters associated in table TB1 with the years of experience acquired as job seeker information.

As a result, since the more years of experience a job seeker has, the more content there is likely to be to explain, a work history document with many chapters can be generated to explain as much of that content as possible. Note that job seeker information other than years of experience may also be associated with the number of chapters. In either case, the number of chapters can be more appropriately controlled according to the job seeker information obtained as a parameter, compared to when the number of chapters is fixed.

Figure 19 is a diagram showing another example of a table. In the example of Figure 19, table TB2 is shown in which the job type, which is input information, is associated with the contents of the chapter when the job type is input as input information. In table TB2, the job types "management-oriented", "professional", and "clerical" are associated with the chapter contents "oriented towards management", "skills and qualifications", and "business process". The AI control unit 113 instructs the artificial intelligence unit 114 to generate text about work history that includes chapters whose contents are associated in table TB2 with the job type acquired as input information.

This makes it possible to generate work history documents that include chapters with content that is more relevant to each job type. Job seeker information other than the job type may also be associated with the chapter content. In either case, the chapter content can be more appropriately controlled according to the job seeker information obtained as parameters, compared to when the chapter content is fixed.

Figure 20 is a diagram showing another example of a table. The example in Figure 20 shows table TB3, which associates job types, which are job seeker information, with the order of chapters when job types are input as input information. In table TB3, the job type "management" is associated with the order "management-related chapters" followed by "other chapters". Also, the job type "professional" is associated with the order "skills/qualifications-related chapters" followed by "other chapters". Also, the job type "clerical work" is associated with the order "business process-related chapters" followed by "other chapters".

The AI control unit 113 instructs the job seeker terminal 20 to display the chapters in the order in which they are associated in table TB3 with the job types acquired as input information. This makes it possible to generate text on work history in which chapters with content more closely related to each job type are listed first. Note that job seeker information other than job type may also be associated with the order of chapters. In either case, the order of chapters can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the order of chapters is fixed.

Figure 21 is a diagram showing another example of a table. The example in Figure 21 shows table TB4, which associates job types, which are job seeker information, with the amount of chapters in a job when job types are input as input information. In table TB4, the job type "management" is associated with an amount of "management-related chapters" that is "large" and "other chapters" that is "small." The job type "professional" is associated with an amount of "skill/qualification-related chapters" that is "large" and "other chapters" that is "small." The job type "clerical work" is associated with an amount of "business process-related chapters" that is "large" and "other chapters" that is "small."

The AI control unit 113 instructs the artificial intelligence unit 114 to generate each chapter with the amount of text associated in table TB4 with the job type acquired as input information. This makes it possible to generate work history text with a larger amount of text in chapters with content that is more closely related to each job type. Note that job seeker information other than job type may also be associated with the amount of chapter text. In either case, the amount of chapter text can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the amount of chapter text is fixed.

Note that the tables shown in Figures 18 to 21 are all examples, and although three correspondences are performed for each, two, four or more may be used. Furthermore, the job seeker information associated in each table may be registered information. In this case, the AI control unit 113 (an example of an instruction unit) instructs the generation of text regarding work history so that the text regarding work history has the number of chapters, the content of each chapter, the display order of each chapter, or the amount of each chapter according to the registered information. In either case, a text regarding work history with more appropriate content can be created compared to a case where no instruction is given to generate text according to the input on the presented input screen or the registered information.

<Input options>
The AI control unit 113 (an example of an instruction unit) may instruct the artificial intelligence unit 114 to output two or more sentence options for one chapter. In this case, the artificial intelligence unit 114 generates two or more sentences for one chapter. The server display unit 111 (an example of a display unit) displays the two or more sentence options output by the artificial intelligence unit 114 in a selectable manner, and displays a sentence in which the selected sentences are arranged.

Figure 22 is a diagram showing another example of a displayed text relating to work history. In the example of Figure 22, the user display unit 211 displays the text creation support system screen G2 shown in Figure 7. The user display unit 211 displays the character string "Please select 'Main Job'" and text options S121, S122, and S123 for "Main Job" in the job content input field C23. The AI control unit 113 generates, for example, three types of prompts with different contents for the "Main Job" chapter and issues instructions for text generation. As a result, the options S121, S122, and S123 are each text with different contents.

When job seeker U1 selects one of the options, the server display unit 111 deletes the options not selected and displays the text about his/her work history, leaving only the text of the selected option. In this manner, job seeker U1 can select the text about his/her work history that he/she considers most appropriate from two or more text options, and can create a text about his/her work history that better reflects the job seeker's intentions, compared to when the text options are not displayed.

<Changes in input screen configuration>
In writing support system 1, the input screen may include a variable input screen in which the configuration of the input information to be accepted varies according to predetermined parameters related to the job seeker. In this case, server display unit 111 (an example of an input unit) displays a variable input screen according to the parameters acquired by parameter acquisition unit 115. More specifically, server display unit 111 displays, as the variable input screen, a screen configured to allow input with input items, number of input items, input order, input method, or input amount according to the acquired parameters. Server display unit 111 issues instructions for writing using, for example, a table in which job seeker information is associated with input items, etc.

Figure 23 is a diagram showing an example of a table. In the example of Figure 23, table TB11 is shown in which the job type, which is the input information, is associated with the input item when the job type is input as input information. In table TB11, the job types "managerial", "professional", and "clerical" are associated with the input items "efforts to improve productivity", "skills", and "experienced business processes". The server display unit 111 first displays an input screen that prompts the user to input the job type as input user information.

Then, job seeker information indicating the job type is acquired as a parameter, and the server display unit 111 causes the job seeker terminal 20 to display the input items associated with the acquired job type in table TB11 when displaying the next input screen. This allows the job seeker to input job seeker information that is more closely related to each job type. Note that job seeker information other than the job type may also be associated with the input items. In either case, the input items can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the input items are fixed.

Figure 24 is a diagram showing another example of a table. The example of Figure 24 shows table TB12, which associates the years of experience, which is input information, with the number of input items, when the years of experience is input as input information. In table TB12, the years of experience of "Less than Th1", "Th1 or more and less than Th2", and "Th2 or more" are associated with the numbers of input items of "N11", "N12", and "N13" (N11<N12<N13). The server display unit 111 first displays an input screen that prompts the user to input the years of experience as job seeker information.

Then, job seeker information indicating years of experience is acquired as a parameter, and the server display unit 111 controls the display of the input screens when displaying the remaining input screens so that a total of the number of input screens corresponding to the acquired years of experience in table TB12 is displayed. As a result, since the longer the job seeker's years of experience, the more job seeker information that can be acquired tends to be, input screens with a large number of input items can be displayed to allow as much of that job seeker information as possible to be entered. Note that job seeker information other than years of experience may also be associated with the number of input items. In either case, the number of input items can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the number of input items is fixed.

Figure 25 is a diagram showing another example of a table. The example of Figure 25 shows table TB13, which associates the job type, which is the input information, with the input order when the job type is input as input information. In table TB13, the job type "management" is associated with an order in which "management-related input items" come first, followed by "other input items." Also, the job type "professional" is associated with an order in which "skill/qualification-related input items" come first, followed by "other input items."

In addition, the job type "clerical work" is associated with an order in which "business process related input items" come first, followed by "other input items." The server display unit 111 displays each input item on the job seeker terminal 20 in the order in which it is associated in table TB13 with the job type acquired as job seeker information. This allows the input item with the most relevant content to be entered first for each job type. Note that job seeker information other than the job type may also be associated with the input order. In either case, the input order can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the input order is fixed.

Figure 26 is a diagram showing another example of a table. In the example of Figure 26, table TB14 is shown which associates the job type, which is the input information, with the input method when the job type is input as the input information. In table TB14, the job types "managerial", "professional", and "clerical" are associated with the input methods "multiple choice", "input type + multiple choice", and "multiple choice". The "multiple choice" method presents options for input information to be input using a pull-down list or the like, while the "input" method is a method in which characters are input one by one using a keyboard. The server display unit 111 first displays an input screen which allows the user to input the job type as the input information.

Then, job seeker information indicating the occupation type is acquired as a parameter, and the server display unit 111, when displaying the next input screen, causes the job seeker terminal 20 to display an input screen that allows input using the input method associated with the acquired occupation type in table TB14. The selection formula is applied, for example, when the job seeker information to be input is somewhat fixed, and the input formula is applied, for example, when there is a large amount of job seeker information to be input and it is not possible to list all the options. Note that job seeker information other than the occupation type may be associated with the input method. In either case, the input method can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the input method is fixed.

Figure 27 is a diagram showing another example of a table. In the example of Figure 27, table TB15 is shown which associates the job type, which is the input information, with the amount of input when the job type is input as input information. The amount of input is, for example, the number of pieces of input information to be input. In table TB15, for the job type "managerial position," an input amount of "large" is associated with "management-related input items," and an input amount of "small" is associated with "other input items."

In addition, for the job type "professional," an input volume of "high" is associated with the "skill/qualification related input items" and an input volume of "low" is associated with the "other input items." In addition, for the job type "clerical work," an input volume of "high" is associated with the "business process related input items" and an input volume of "low" is associated with the "other input items." The server display unit 111 displays each input item on the job seeker terminal 20 with the input volume associated in table TB15 with the job type acquired as job seeker information.

This allows for a larger amount of input that is more relevant to each job type. The amount of input may be represented by the number of characters or lines of job seeker information entered, the size of the input field, etc. Job seeker information other than the job type may also be associated with the amount of input. In either case, the amount of input can be more appropriately controlled according to the job seeker information acquired as a parameter, compared to when the amount of input is fixed.

Note that the tables shown in Figures 23 to 27 are all examples, and although three correspondences are made for each, two, four or more may be used. Furthermore, the job seeker information associated in each table may be registration information. In this case, the server display unit 111 displays, as a variable input screen, a screen configured to allow input with input items, number of input items, input order, input method, or input amount according to the acquired parameters (registration information). Furthermore, as described above, by including a variable input screen whose configuration changes according to specified parameters in the input screen, more appropriate items can be input compared to when the input screen configuration is fixed.

<Configuration variations>
The configuration shown in FIG. 1 is an example, and other configurations may be used as long as there is no inconvenience in implementation. For example, one device may be distributed to two or more devices, or may be replaced by a cloud computing system. Furthermore, the functions of one device may be distributed and realized to two or more devices, or the functions of two or more devices may be concentrated and realized by one device. Furthermore, the operation performed by one function may be distributed to two or more functions, or two or more functions may be integrated into one function. In short, as long as each function required for the entire writing support system 1 is realized, the devices that realize those functions may have any configuration.

Although the above-described embodiment is an information processing device such as the server device 10, or an information processing system such as the writing support system 1 including the server device 10, it may be an information processing method. The information processing method includes each step executed by the writing support system. The above-described embodiment may be a program. The program causes a computer to execute each step executed by the writing support system.

<Other variations>
The output destination of the information or data (hereinafter referred to as "information, etc.") may be another device, a display, a memory unit (including a built-in memory unit and an external memory unit), etc. Acquisition of information, etc. includes acquiring information, etc. generated by the device itself, in addition to acquiring information, etc. transmitted from another device. The table in which parameters are associated is not limited to the table shown in the figure, and the number of parameters may be reduced or increased. Furthermore, information, etc. corresponding to parameters may be obtained by a formula, a conditional formula, etc. without using a table.

<Additional Notes>
Furthermore, it may be provided in the following aspects:

(1) A writing support system comprising a processor, in which, in an input step, the processor displays an input screen that accepts input of job seeker information about a job seeker, and in an instruction step, the processor instructs an artificial intelligence to write a sentence about the job seeker's work history based on the job seeker information, the artificial intelligence has a learning model that receives the job seeker information as input and outputs the sentence, and in a display step, the processor displays the sentence output by the artificial intelligence based on the instruction.

This aspect makes it easier for job seekers to write about their work history.

(2) In the writing support system described in (1) above, the learning model is a model that is machine-learned from learning job seeker information and job postings.

This method allows you to create text that takes into account the content required for the job posting.

(3) In the writing support system described in (1) or (2) above, in the re-input step, the processor displays as the input screen a screen showing, in an editable manner, the job seeker information that was input when the instruction was given, and in the instruction step, gives the instruction again based on the job seeker information edited on the input screen.

This aspect makes it easier to repeatedly create text.

(4) In the writing support system described in any one of (1) to (3) above, the job seeker information includes information on a plurality of items that is input to the artificial intelligence and used to output the writing, and in the input step, the processor switches between displaying, as the input screen, individual input screens for at least two or more items that request the input of the job seeker information corresponding to each of at least two or more items among the plurality of items.

This approach can help prevent input errors.

(5) In the writing support system described in (4) above, the processor, in the input step, displays a plurality of objects corresponding to each of the individual input screens on all of the individual input screens, and displays the object among the plurality of objects corresponding to the individual input screen being input in a manner different from other objects.

This allows you to easily get an overall understanding of the input process.

(6) In the writing support system described in any one of (1) to (5) above, the input screen includes a variable input screen whose configuration for inputting the job seeker information varies according to predetermined parameters related to the job seeker, and the processor acquires the parameters in the acquisition step, and displays the variable input screen according to the acquired parameters in the input step.

This aspect allows the user to enter more appropriate items.

(7) In the writing support system described in (6) above, in the input step, the processor displays as the variable input screen a screen configured to allow input to be made in accordance with the input items, number of input items, input order, input method, or input amount according to the acquired parameters.

This aspect allows the user to enter more appropriate items.

(8) In the writing support system described in (4) above, the processor, in the acquisition step, acquires predetermined parameters related to the job seeker, and in the input step, displays words corresponding to the acquired parameters as input candidates for each of the items to be input.

This aspect makes input easier.

(9) In the writing support system described in (8) above, in the input step, the processor displays search results for words corresponding to the characters already input as the input candidates each time one character is input to the input screen.

This approach makes input even easier.

(10) In the writing support system described in any one of (6) to (9) above, the parameters include the job seeker information that has been entered in a specific field included in the input screen.

In this way, optimization can be achieved without any prior work.

(11) In the writing support system described in any one of (6) to (10) above, the parameters include registration information about the job seeker that has been registered in advance.

In this manner, optimization can be performed from the very first input item.

(12) A writing support system according to any one of (1) to (11) above, wherein the writing has two or more chapters, and the processor, in the instruction step, issues the instruction for each chapter, and in the display step, arranges the chapters output by the artificial intelligence and displays them as the writing.

This approach allows you to create text with more appropriate content.

(13) In the writing support system described in (12) above, in the instruction step, the processor gives the instruction so that the number of chapters, the content of each chapter, the display order of each chapter, or the amount of each chapter of the writing corresponds to the input on the presented input screen.

This approach allows you to create text with more appropriate content.

(14) In the writing support system described in (12) or (13) above, the processor instructs the artificial intelligence to output two or more sentence options for one chapter in the instruction step, and in the display step displays the two or more sentence options output by the artificial intelligence in a selectable manner and displays a sentence in which the selected sentences are arranged.

This approach allows for writing that better reflects the job seeker's intentions.

(15) In the writing support system described in any one of (12) to (14) above, in the display step, when the artificial intelligence outputs multiple chapters sequentially, the processor sequentially displays the output chapters without waiting for all the chapters to be collected.

This aspect allows you to experience the response performance.

(16) A writing support system according to any one of (1) to (15) above, wherein in the instruction step, the processor gives the instruction using instruction data including words and phrases used in writing about work history, a description of work, a description of organization, or a description of results.

This approach makes it possible to more reliably include necessary content in a text.

(17) An information processing method comprising each step of the writing support system described in any one of (1) to (16) above.

(18) A program for causing a computer to execute each step of the writing support system described in any one of (1) to (16) above.
Of course, this is not the case.
Furthermore, the above-described embodiments and modifications may be combined in any desired manner.

Finally, although various embodiments of the present invention have been described, these are presented as examples and are not intended to limit the scope of the invention. New embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. The embodiments and their modifications are within the scope and spirit of the invention, and are also within the scope of the invention and its equivalents as set forth in the claims.

1: Writing support system 10: Server device 11: Control unit 20: Job seeker terminal 21: Control unit 111: Server display unit 112: Memory control unit 113: AI control unit 114: Artificial intelligence unit 115: Parameter acquisition unit 116: Candidate determination unit 211: User display unit 212: Operation reception unit

Claims (10)

A writing support system,
a processor, the processor comprising:
In the acquisition step, job type information relating to the job type of the job seeker is acquired from registration information previously registered by the job seeker ,
In the presenting step, candidates of information for sentence generation based on the job type information are presented, and an input of a selection of the information for sentence generation is received;
In the instruction step, an instruction is given to an artificial intelligence to generate a text about the work history of the job seeker based on both the registration information including the job type information and the selected text generation information;
In the display step, the sentence output by the artificial intelligence is displayed based on the instruction.
Writing support system. 2. The writing support system according to claim 1,
The artificial intelligence has a learning model that machine-learns job seeker information and job postings for learning,
Writing support system. A writing support system,
a processor, the processor comprising:
In the input step, an input screen for accepting input of job seeker information about a job seeker is displayed, where the job seeker information includes job type information about the job type of the job seeker,
In the acquisition step, the job type information is acquired,
In the presenting step, candidates of information for sentence generation based on the job type information are presented, and an input of a selection of the information for sentence generation is received;
In the instruction step, an instruction is given to an artificial intelligence to create a sentence about the work history of the job seeker based on the selected information for sentence generation,
In the display step, the sentence output by the artificial intelligence is displayed based on the instruction;
In the input step, a first input screen for receiving the input of the job type information and a second input screen for receiving the input of the selection of the sentence generation information are displayed as the input screen while being switched.
Writing support system. 4. The writing support system according to claim 3 ,
The processor,
In the acquiring step, predetermined parameters related to the job seeker are acquired,
In the input step , words and phrases corresponding to the acquired parameters are displayed as input candidates.
Writing support system. 5. The writing support system according to claim 4 ,
The processor,
In the input step, each time one character is input to the input screen, a search result of a word or phrase corresponding to the input character is displayed as the input candidate.
Writing support system. 5. The writing support system according to claim 4 ,
the parameters include the job seeker information already entered in a predetermined field included in the input screen;
Writing support system. 5. The writing support system according to claim 4 ,
The parameters include registration information regarding the job seeker who has been registered in advance.
Writing support system. 2. The writing support system according to claim 1,
The processor,
In the instruction step, the instruction is given by instruction data including a phrase used in a text about work history, a description of a job, a description of an organization, or a description of an achievement.
Writing support system. 1. An information processing method, comprising:
The writing support system according to any one of claims 1 to 8 ,
Information processing methods. A program,
A program for causing a computer to execute each step of the writing support system according to any one of claims 1 to 8 .