Commendation object generator, commendation object generation system, commendation object generation method, and program

Abstract

To provide a commendation object generator which easily realizes creative commendation.SOLUTION: A generation system comprises a creation terminal, a management server, an employee DB, an application DB, an evaluation document DB, a profile DB, a learning model DB, a Patent Office DB, a printer, a 3D printer and a winner terminal. The management server which is a commendation object generator comprises: an acquisition unit which acquires application data for applying commendation with respect to a commendation target person and evaluation data created by an evaluator who evaluates the commendation target person; and a commendation information generation unit which generates a commendation object by requiring a generative AI to generate the commendation object related to commendation of the commendation target person on the basis of the application data and the evaluation data acquired by the acquisition unit.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present disclosure relates to an award object generation device, an award object generation system, an award object generation method, and a program. [Background technology]

[0002] Conventionally, people who have achieved excellent results have been commended. By holding an award ceremony and widely publicizing the achievements of the award recipient, it is possible to raise the motivation of the award recipient and the participants of the award ceremony. For example, Patent Document 1 discloses a technology for outputting a certificate of commendation to a learner at an effective timing. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-67481 Summary of the Invention [Problem to be solved by the invention]

[0004] The wording of award certificates often uses standard, standard phrases. Even when award grades are set, the wording is often the same, with only the title, such as "XX Award," changing. It's not uncommon for the same person to receive multiple awards, and depending on the recipient, the value of the certificate may diminish with each successive award. Furthermore, when awarding multiple people, many recipients are only given their names when the ceremony is held, with only "Same text below" being read aloud and the details of the award omitted, leading to a decline in motivation to attend the ceremony. Meanwhile, creating a unique, thoughtful message for each award recipient would be a significant burden on the recipient and would be unrealistic.

[0005] The present disclosure has been made in consideration of the above circumstances, and provides an award object generation device, an award object generation system, an award object generation method, and a program that can easily realize original awards. [Means for solving the problem]

[0006] The present invention has been made to solve the above-mentioned problems, and one aspect of the present disclosure is an award object generation device that includes an acquisition unit that acquires application data for applying for an award for an award recipient and evaluation data created by an evaluator who evaluates the award recipient, and an award information generation unit that generates an award object related to the award for the award recipient by requesting a generation AI to generate the award object based on the application data and evaluation data acquired by the acquisition unit.

[0007] Another aspect of the present disclosure is an award object generation system comprising the award object generation device described above and a creation terminal communicatively connected to the award object generation device and transmitting the application data and the evaluation data to the award object generation device.

[0008] Another aspect of the present disclosure is an award object generation method performed by an award object generation device that is a computer, in which an acquisition unit acquires application data applying for an award for an award recipient and evaluation data created by an evaluator who evaluates the award recipient, and an award information generation unit generates the award object by requesting a generation AI to generate an award object related to the award for the award recipient based on the application data and evaluation data acquired by the acquisition unit.

[0009] Another aspect of the present disclosure is a program that causes an award object generation device, which is a computer, to acquire application data for applying for an award for an award recipient and evaluation data created by an evaluator who evaluates the award recipient, and generates the award object by requesting a generation AI to generate an award object related to the award for the award recipient based on the acquired application data and evaluation data. [Effects of the Invention]

[0010] According to this disclosure, creative awards can be easily realized. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing an example of the configuration of a generation system 1 according to an embodiment. [Figure 2] FIG. 2 is a block diagram illustrating an example of the configuration of a management server 300 according to an embodiment. [Figure 3] FIG. 10 is a diagram illustrating an example of application data according to an embodiment. [Figure 4] FIG. 10 is a diagram illustrating an example of evaluation data according to the embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of applicant profile data according to an embodiment. [Figure 6] FIG. 10 is a diagram illustrating an example of award content in the embodiment. [Figure 7] 10 is a flowchart showing the flow of processing performed by a management server 300 in an embodiment. [Figure 8] FIG. 10 is a diagram showing an example of awards content in the first modified example of the embodiment. [Figure 9] FIG. 10 is a diagram showing an example of awards content in a second modified example of the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, an award object generation device, an award object generation system, an award object generation method, and a program according to embodiments of the present disclosure will be described with reference to the drawings.

[0013] The creation system 1 of this embodiment is a system that creates certificates of commendation and commemorative gifts used when awarding prizes. In the following explanation, an example of awarding an employee of a company who has filed an excellent patent application will be described. However, this example is not limiting and the generation system 1 can be used for various types of awards. Furthermore, the organization that gives the awards is not limited to a company, and the generation system 1 can be used when any business entity, such as a local government, educational corporation, foundation, or various other organization, gives an award.

[0014] 1 is a block diagram showing an example of the configuration of a generation system 1 according to an embodiment. The generation system 1 is an example of an award object generation system, and includes, for example, a creation terminal 100, a management server 300, an employee DB 310, an application DB 320, an evaluation report DB 330, a profile DB 340, a learning model DB 350, a patent office DB 400, a printer 600, a 3D printer 700, and an awardee terminal 800.

[0015] The creation terminal 100 and the management server 300 are communicatively connected via a communication network such as the Internet 200. The management server 300 and each of the various databases, namely, the employee database 310, the application database 320, the evaluation report database 330, the profile database 340, the learning model database 350, and the patent office database 400, are communicatively connected via a wired cable, a wireless local area network (LAN), Bluetooth (registered trademark), or other communication module. The management server 300 and each of the peripheral devices, namely, the printer 600 and the 3D printer 700, are communicatively connected via a communication network such as an intranet 500. The management server 300 and the award winner terminal 800 are communicatively connected via a communication network such as an intranet 500.

[0016] The creation terminal 100 is a computer such as a PC (personal computer) on which a program is installed. The creation terminal 100 is a terminal device used by an operator to operate the management server 300 and generate a certificate of commendation or a commemorative gift as the award content, which will be described later.

[0017] The management server 300 is an example of an award object generation system. The management server 300 is a computer such as a cloud, a server device, or a PC. The management server 300 generates an award object in accordance with operation input from an operator via the creation terminal 100.

[0018] An award object is a component of an award content such as a certificate of commendation, and may include, for example, information indicating text to be printed on the certificate of commendation, images, etc. An award object may also include information indicating video, sound, music, etc.

[0019] The management server 300 of this embodiment uses a generation AI to generate award objects with original content tailored to the award recipient. The generation AI is an AI that pre-learns patterns and relationships based on training data and generates content based on the learned content. Commercial generation AIs can be used as the generation AI. Examples of commercial generation AIs include GPT-4 (registered trademark), Llama2, and PaLM2. By using AI to generate original award objects, it is possible to avoid using standard, standard award text. Therefore, the content of the award certificate will be written in a way that is unique to each recipient, making it an interesting and enjoyable award ceremony that will leave a lasting impression on the recipient, the recipient, and even the recipient's family and friends. Furthermore, original images may be generated as creative award objects using generative AI. For example, an original image suitable for an award may be generated based on the recipient's facial image, patent drawings, information about the commercialized product, family photos, etc. For example, if the recipient's patent relates to a vehicle and development of a vehicle based on that patent has begun, generative AI could be used to generate an image of the recipient and their family riding in the newly developed vehicle. Furthermore, by generating an award object using a generation AI, it is possible to prevent the burden on the worker from becoming excessive. The method by which the management server 300 generates an award object using a generation AI will be described in detail later.

[0020] Each of the various DBs, Employee DB 310, Application DB 320, Evaluation DB 330, Profile DB 340, Learning Model DB 350, and Patent Office DB 400, is a DB (database) that stores data used by the management server 300 when generating award objects. The employee DB 310 stores information about employees of the business entity that will be awarding the award, such as the employee's company history, years of service, place of work, department, job, etc. The employee DB 310 may also store the employee's work schedule, family structure, address, etc.

[0021] The application DB 320 stores application data. The application data is information indicating an application to request that an award recipient be awarded an award. For example, an application is made by sending the application data from the department to which the award recipient belongs to the department that will administer the award, and the application data is stored in the application DB 320. The application data includes information about the object of the award and information about the application content. The information about the object of the award includes the name of the invention in the patent application that is the object of the award, the patent registration number, and the rank of the award being applied for, such as "Grand Prize" or "Excellent Prize." The information about the application content includes information such as the reason for the application (key points of the invention, technical content, business content, etc.), the inventor's employee number, name, country of residence (nationality), contribution rate (%), and award history. The reason for the application may include a proposal, idea sheet, invention materials explaining the invention, etc. The application data may also include product data such as the product number and catalog of the product corresponding to the invention.

[0022] The evaluation report DB 330 stores evaluation data. The evaluation data is information indicating the evaluation report that evaluated the application. For example, based on the application data, the relevant departments, via the department that administers the awards, conduct a first review, a second review, a final review, and a final evaluation in stages. Then, the evaluation data created by the evaluator for each review is stored in the evaluation report DB 330. The evaluation data includes information indicating the evaluation made by the evaluator based on the application content. The information indicating the evaluation content includes information such as the technical value, intellectual property value, business value, and academic value of the patent application that is the subject of the application. The information indicating the evaluation content may include information indicating the reason for award (final evaluation) and the reason for receiving the award. Furthermore, if the rank of the award to be awarded differs from the application content, it may also include information indicating the reason for the downgrade. Furthermore, if the application was not successful, it may also include information indicating the reason for rejection.

[0023] The profile DB340 stores applicant profile data. The applicant profile data is information introducing the person who has been applied for as an award recipient. For example, when an application is made by the department to which the award recipient belongs, applicant profile data is generated, and the applicant profile data attached to the application data is sent to the department that will administer the awards. The applicant profile data attached to the application is stored in the profile DB340. The applicant profile data includes information that indicates the award recipient's personality, such as the award recipient's favorite entertainer, favorite anime, favorite color, hobbies, etc. The applicant profile data may also include information that the award recipient and their superiors wish to include in the award letter.

[0024] The learning model DB 350 stores information for constructing a learned model. The learned model is a learning model that learns the editing trends when an award statement once generated by the management server 300 is edited by an operator. By using the learning model that learns the editing trends, it becomes possible to create an award object that reflects the operator's editing intentions.

[0025] The patent office database 400 stores data related to patent applications that are the subject of the award. For example, the patent information platform provided by the National Center for Industrial Property Information and Training, an independent administrative institution, can be used as the patent office database 400.

[0026] Each of the peripheral devices, printer 600 and 3D printer 700, generates award content. The award content is content related to awards. For example, the award content may be a certificate of award, a commemorative gift given in conjunction with the award, or the like.

[0027] The certificate of commendation as the award content may be a printed matter or electronic information such as text data or image data. The certificate of commendation may include images in addition to the award text (text) as an award object. The printer 600 generates the certificate of commendation by printing the award text and images output from the management server 300 onto the certificate of commendation.

[0028] Examples of commemorative items as award content include key chains, straps, figurines, photo frames, vases, plaques, and T-shirts. They may be printed materials or image data of a certificate of commendation. Certificates of commendation may include not only text as the award recognition but also an image such as a photograph of the recipient. The 3D printer 700 generates commemorative items imprinted with the award recognition recognition message and image output from the management server 300.

[0029] The printer 600 may be a printer used by an external printing company or the like to print certificates of commendation in response to an order. In this case, the printer 600 is configured to connect to the management server 300 via an external server or the like that accepts a request to print a certificate of commendation from the management server 300. The 3D printer 700 may also be a production device used by an external production company to produce commemorative items in response to an order. In this case, the 3D printer 700 is configured to connect to the management server 300 via an external server or the like that accepts a request to produce a commemorative item from the management server 300.

[0030] The award winner terminal 800 is a computer such as a PC, tablet terminal, or smartphone. The award winner terminal 800 is a terminal device operated by an award winner who has actually received an award among those who applied to receive an award. The award winner terminal 800 communicates with the management server 300 to receive, for example, image data of the award certificate or address information where the image data of the award certificate is stored.

[0031] Fig. 2 is a block diagram showing an example of the configuration of the management server 300 in an embodiment. As shown in Fig. 2, input data is input to the management server 300. The input data is data input by the creation terminal 100 and includes at least application data and evaluation data. The input data may also include applicant profile data. The input data may also include correction data, etc., when an award statement once generated by the management server 300 is edited by an operator. Based on the input data, the management server 300 generates an award object, such as an award statement, an image, and other electronic information related to the award, and outputs the generated award object as output data. The management server 300 outputs the output data to a printer 600 as print data for printing a certificate of commendation, and prints the certificate. The management server 300 also outputs the output data to a 3D printer 700 as three-dimensional data for generating a commemorative item, and generates a commemorative item engraved with the award statement, etc. Alternatively, the management server 300 transmits the generated electronic data of the certificate of commendation, including the commendation statement, etc., to the award recipient's terminal 800.

[0032] The management server 300 includes, for example, an acquisition unit 301, a pre-processing unit 302, a prompt generation unit 303, an award information generation unit 304, a post-processing unit 305, an output unit 306, and an award information storage unit 307.

[0033] The acquisition unit 301 acquires various data, for example, input data such as application data, evaluation data, applicant profile data, correction data, etc. The acquisition unit 301 outputs the acquired input data to the preprocessing unit 302.

[0034] The preprocessing unit 302 performs preprocessing before generating an award object. For example, the preprocessing unit 302 performs a process of extracting data that should not be reflected in the award object from the input data, such as application data, evaluation data, and applicant profile data. For example, the preprocessing unit 302 displays the input data on the display of the creation terminal 100 so that the worker can specify data that should not be reflected in the award object. The preprocessing unit 302 acquires, via the acquisition unit 301, non-reflection information that specifies data that should not be reflected in the award object, as information input by the worker. Alternatively, the pre-processing unit 302 may extract predetermined information, such as personal information such as the age and gender of the award recipient, confidential information such as sales forecasts for products or services related to the award recipient and names of business partners, or similar information, as non-reflected information that is not reflected in the award object. The preprocessing unit 302 outputs the non-reflection information to the prompt generating unit 303 .

[0035] The prompt generation unit 303 generates a prompt. A prompt is an instruction sent to the generation AI when requesting the generation AI to generate an award object. Here, an example is described in which a question sentence in natural language such as "Please generate XX based on XX" is generated as a prompt, but the present invention is not limited to this, and any prompt that can at least be understood by the generation AI can be used.

[0036] For example, the prompt generator 303 generates a prompt such as, "Please create an original and memorable award statement for the recipient based on the 'application data' and 'evaluation data.'" In this prompt, the 'application data' and 'evaluation data' fields contain text that indicates the actual application and evaluation details. Furthermore, when the preprocessing unit 302 extracts non-reflected information, the prompt generating unit 303 may generate a prompt such as, "Please generate an original and memorable award statement for the recipient based on the data excluding the non-reflected information from the application data and evaluation data." In addition, the award information generation unit 304 may reflect non-reflected information in the award object, but may request the generation AI to obscure confidential information such as the names of competitors, business partners, negotiating partners, etc., or similar information, using initials or other characters. Alternatively, the prompt generation unit 303 may generate a prompt such as, "Based on the 'application data' and 'evaluation data,' please generate an original award statement that will be memorable for the recipient. In the process of generating the award statement, if there are any words that you think should not be reflected in the award statement, please extract them and ask whether it is OK to use those words in the award statement. The criteria for determining whether to reflect those words in the award statement are ____." Alternatively, the prompt generation unit 303 may generate a prompt such as, "Based on the 'application data' and 'evaluation data,' excluding the 'non-reflection information,' please generate an original award statement that will be memorable for the recipient. In the process of generating the award statement, if there are any words that you think should not be reflected in the award statement, please extract them and ask whether it is OK to use those words in the award statement. The criteria for determining whether to reflect those words in the award statement are ____." Furthermore, the award information generation unit 304 may request the generation AI to inquire about any missing information needed to generate the award message. For example, the generation AI may inquire about the time and location of the award ceremony, the number of award ceremonies, and so on, and then generate the award object by interpolating the information needed to generate the award object.

[0037] The award information generation unit 304 generates award information indicating an award object using the generation AI. The award information generation unit 304 inputs the prompt generated by the prompt generation unit 303 to the generation AI and requests the generation AI to generate an award object, thereby generating the award object. The award information generation unit 304 outputs the generated award object to the post-processing unit 305.

[0038] The post-processing unit 305 performs post-processing after generating the award object. For example, the post-processing unit 305 displays the award object on the display of the creation terminal 100 so that the worker can perform editing operations such as adding to or correcting the award object. The post-processing unit 305 acquires information input by the worker. The input information includes content to be added to and / or corrected in the award object. The post-processing unit 305 edits the award object based on the input information.

[0039] When an operator edits an award object, such as by adding or correcting, the post-processing unit 305 generates a trained model that learns the editing trends. The trained model here is a model stored in the trained model DB 350. The post-processing unit 305 trains the correspondence between a pre-change object, which is the award object before editing generated by the award information generation unit 304, and a post-change object, which is the award object edited by the operator. By learning such correspondence, the trained model can learn the editing trends of operators, and can edit the award object generated by the award information generation unit 304 to content that is likely to be added or corrected by the operator.

[0040] For example, the award information generation unit 304 first requests the generation AI to generate an award object. Next, the award information generation unit 304 inputs the award object generated by the generation AI into the trained model generated by the post-processing unit 305, thereby editing the award object generated by the generation AI.

[0041] If additional learning can be performed on the generation AI, the post-processing unit 305 may cause the generation AI to learn the correspondence between pre-change objects and post-change objects. In this case, the generation AI will be able to generate an award object with content that is likely to be used by a worker to create such an award message, in response to a request from the award information generating unit 304.

[0042] The post-processing unit 305 also generates a certificate of commendation and a commemorative gift as award content including the award object. The post-processing unit 305 generates the certificate of commendation by outputting the award message generated by the award information generating unit 304 to the printer 600. The post-processing unit 305 outputs the award message generated by the award information generating unit 304 to the 3D printer 700, thereby generating a commemorative gift on which the award message is engraved.

[0043] The output unit 306 outputs various types of data. For example, the output unit 306 outputs input data to the creation terminal 100 in response to processing by the pre-processing unit 302 to extract data that should not be reflected in the award object. The output unit 306 also outputs an award object to the creation terminal 100 in response to processing by the post-processing unit 305 to modify the award object. The output unit 306 outputs the award object to the printer 600 and / or the 3D printer 700 in response to processing by the post-processing unit 305 to generate award content. The output unit 306 outputs the award object to the award recipient terminal 800.

[0044] The award information storage unit 307 stores award objects as award information. For example, the award information storage unit 307 stores, in a distinguished manner, award objects generated by the generation AI, award objects modified by an operator, award objects edited by a trained model, and award objects that are ultimately printed on certificates of commendation and engraved on commemorative items.

[0045] The storage medium including the award information storage unit 307 as the storage unit of the management server 300 is a storage device such as RAM, flash memory, or HDD, and stores various information and programs used by the functional units of the management server 300. The storage unit of the management server 300 may be a removable flash memory card.

[0046] The functional units of the management server 300 include an acquisition unit 301, a preprocessing unit 302, a prompt generation unit 303, an award information generation unit 304, a postprocessing unit 305, and an output unit 306. The functional units of the management server 300 are processing circuits including a CPU (Central Processing Unit). The functional units of the management server 300 execute various processes of the functional units of the management server 300 by executing programs stored in an internal memory (not shown) or in a storage unit of the management server 300.

[0047] 3 is a diagram showing an example of application data in an embodiment. As shown in Fig. 3, the application data includes, for example, the name of the invention in the patent application and the patent registration number as information on the award object, the reason for the application, the name of the award candidate as an award candidate, employee number, contribution level, award history, etc.

[0048] Fig. 4 is a diagram showing an example of evaluation data in an embodiment. As shown in Fig. 4, the evaluation data includes, for example, the title of the invention in the patent application as information on the award recipient, the patent registration number, and information indicating the evaluation details. The information indicating the evaluation details includes, for example, information indicating the technical value, intellectual property value, business value, and academic value, as well as comments from each review committee and information indicating the final evaluation.

[0049] 5 is a diagram showing an example of applicant profile data in an embodiment. As shown in FIG. 5, the applicant profile data includes information that reveals the personality of the award recipient, such as the award recipient's hobbies, favorite colors, interesting events, surprising events, and goals.

[0050] 6 is a diagram showing an example of award content in the embodiment. As shown in Fig. 6, the award content is, for example, a certificate of commendation containing original commendation text that reflects the personality of the award recipient.

[0051] 7 is a flowchart showing the flow of processing performed by the management server 300 in an embodiment. The management server 300 acquires application data and evaluation data as input data (steps S10 and S11). Steps S10 and S11 may be executed in reverse order. Furthermore, the management server 300 may also acquire applicant profile data as input data. The management server 300 generates a prompt based on the input data (step S12). The management server 300 generates a prompt requesting that an award object be generated based on the input data itself. Alternatively, the management server 300 may generate a prompt requesting that an award object be generated based on data excluding non-reflection information from the input data. The management server 300 may also generate a prompt requesting that an inquiry be made about the wording to be reflected in the award object when the award object is generated. The management server 300 generates an award object as award information by inputting a prompt to the generation AI (step S13). Here, the management server 300 may request the creation terminal 100 to have an operator review the award object generated by the generation AI and make edits such as additions or corrections as necessary. Alternatively, the management server 300 may input the award object generated by the generation AI into a trained model to pre-edit content that is likely to be edited by an operator, and have the operator review the content edited by the trained model. The management server 300 stores the award object as award information in the award information storage unit 307 (step S14). The management server 300 also outputs the award object as award information (step S15). The management server 300 outputs the award object to the printer 600 to generate a certificate of commendation on which the award object is printed. The management server 300 outputs the award object to the 3D printer 700 to generate a commemorative item on which the award object is engraved.

[0052] As described above, the management server 300 of the embodiment includes an acquisition unit 301 and an award information generation unit 304. The acquisition unit 301 acquires application data and evaluation data. The application data is data applying for an award for an award recipient. The evaluation data is data created by an evaluator who evaluates the award recipient. The award information generation unit 304 requests the generation AI to generate an award object based on the application data and evaluation data acquired by the acquisition unit 301. The award object is an object related to the award for the award recipient, such as an award text. The award information generation unit 304 generates the award object by making such a request to the generation AI. As a result, the management server 300 of the embodiment uses generation AI to easily generate highly original award texts, making it easy to realize creative awards. Therefore, award certificates can be made unique. Even if multiple recipients receive similar awards, recipients can receive certificates containing personalized text. This makes recipients excited and excited about the certificate they will receive. Because it is not a standardized certificate like traditional ones, recipients will want to show it to their family and colleagues and display it in their homes or offices. Explaining the award to family members increases family bonding. Furthermore, the recipient can easily understand the recipient's achievements and personality, making the certificate more engaging and engaging to read. This conveys the recipient's thoughts, creating a virtuous cycle. Furthermore, by learning about the recipient's personality, it is possible to gauge the recipient's contributions to the company, such as their proactiveness toward awards. This memorable award experience can also motivate recipients to apply for awards in the following year.

[0053] Furthermore, in the management server 300 of the embodiment, the acquisition unit 301 acquires applicant profile data. The applicant profile data is data introducing the award recipient. The award information generation unit 304 requests the generation AI to generate an award object based on the applicant profile data acquired by the acquisition unit 301, in addition to the application data and evaluation data. This makes it possible for the management server 300 of the embodiment to easily generate award text with improved originality that reflects the personality of the award recipient.

[0054] The management server 300 according to the embodiment further includes an output unit 306 and a post-processing unit 305. The output unit 306 outputs the award object to, for example, the creation terminal 100. The post-processing unit 305 acquires, via the acquisition unit 301, operation inputs for the award object output by the output unit 306. The operation inputs include operation inputs corresponding to operations for editing the award object. The post-processing unit 305 changes the award object in accordance with the acquired operation inputs. As a result, the management server 300 according to the embodiment can accept edits by the operator of the creation terminal 100, generate award objects in line with the operator's intentions, and further improve the originality of the award message.

[0055] Furthermore, in the management server 300 of the embodiment, the post-processing unit 305 generates a trained model. The trained model is a model that has learned the correspondence between a pre-change object and a post-change object. The pre-change object is the award object before it is edited in accordance with operation input. The post-change object is the award object after it has been edited in accordance with operation input. As a result, in the management server 300 of the embodiment, by simply inputting the award message generated by the generation AI into the trained model, it becomes possible to generate an award object that meets the wishes of the worker, thereby easily further improving the originality of the award message.

[0056] In addition, in the management server 300 of the embodiment, the post-processing unit 305 generates a certificate of commendation or a commemorative gift as award content including the award object. The output unit 306 outputs the award content. In this way, the management server 300 of the embodiment can make the certificate of commendation and the commemorative gift that the award recipient actually receives highly original.

[0057] The management server 300 of the embodiment further includes a preprocessing unit 302. The preprocessing unit 302 extracts non-reflection information from the input data. The non-reflection information is information from the input application data and evaluation data that is not to be reflected in the award object. The award information generation unit 304 requests the generation AI to generate an award object based on the input application data and evaluation data acquired by the acquisition unit 301, excluding the non-reflection information. As a result, even if the input data includes personal information, confidential information, or similar information that should not be made public, the management server 300 of the embodiment can prevent such information from being reflected in the award object.

[0058] Furthermore, in the management server 300 of the embodiment, the award information generation unit 304 inputs a prompt generated by the prompt generation unit 303 to the generation AI to generate an award object. The input prompt may be a prompt that extracts candidates for non-reflected information from the input data and asks whether or not to reflect the extracted candidates in the award object. This allows the management server 300 of the embodiment to generate an award object while the worker is checking information in the input data that should not be made public. This eliminates the need for the worker to extract non-reflected information, or prevents non-reflected information that the worker was unable to extract from the input data from being erroneously reflected in the award object.

[0059] (Modification 1 of the embodiment) Here, a first modification of the embodiment will be described. In this modification, a certificate of commendation and a commemorative gift are generated, indicating address information where the commendation content is stored. The storage location indicated by the address information stores, for example, image information showing the certificate of commendation and image information of the commemorative gift. For example, the commendation information storage unit 307 can be used as the storage location. By providing such a storage location, the awardee who receives the certificate of commendation can easily view the commendation content in electronic form. Furthermore, by providing such a storage location, it is possible to add award objects later and view the added congratulatory messages and videos. The award objects added later are celebratory content such as congratulatory messages received at the time of the awards ceremony and videos of the award ceremony.

[0060] FIG. 8 is a diagram showing an example of award content in Modification 1 of the embodiment. As shown in FIG. 8, in this modification, for example, a two-dimensional code CD is affixed to a certificate of commendation as an award object. The two-dimensional code CD may be printed directly on the certificate of commendation as an award object. This allows for easy viewing of additional information related to the award, such as congratulatory remarks, videos, and comments from the award recipients who attended the award ceremony. Such a two-dimensional code CD may also be engraved on a commemorative item.

[0061] As described above, in the management server 300 according to the first modification of the embodiment, the award information storage unit 307 is provided with a storage location as a memory area for storing award content including award objects. The output unit 306 outputs address information indicating the storage location of the award content. This allows the management server 300 according to the embodiment to print the address information on the award certificate or to inscribe the address information on the commemorative gift. The awardee who receives the award certificate and commemorative gift can view the award content as electronic information.

[0062] Furthermore, in the management server 300 according to the first modification of the embodiment, the award information storage unit 307 is provided with a storage location as a memory area for storing celebratory content obtained in response to an award recipient's award. The output unit 306 outputs address information indicating the storage location of the award content. This makes it easy for the management server 300 according to the embodiment to allow the award recipient to view the congratulatory message and other information obtained after the award ceremony.

[0063] (Modification 2 of the embodiment) Here, we will explain a second variation of the embodiment. In this variation, the award object is converted into a style that corresponds to the attributes of the award recipient. The attributes of the award recipient here refer to attributes that can identify a style of award certificate that is familiar to the award recipient, such as the recipient's country of residence or nationality. The post-processing unit 305 converts the award object into a format appropriate for the recipient's attributes using, for example, a generation AI. The generation AI used here may be the same as or different from the generation AI used by the award information generation unit 304 to generate the award object. For example, the post-processing unit 305 inputs a prompt to the generation AI, such as "Please generate a certificate of commendation with the text XX in the format XX." This translates the award text included in the award object into a language appropriate for the recipient's country of residence, etc., and, if necessary, adjusts the order of the recipient's name to correspond to the recipient's country of residence, etc. In addition, the size, frame, columns, vertical / horizontal writing, and other formatting of the certificate of commendation are determined according to the recipient's country of residence, etc., and the font size, character arrangement, etc. are adjusted accordingly. The post-processing unit 305 outputs the converted award object into a format appropriate for the recipient's attributes to the printer 600, generating a certificate of commendation in a format appropriate for the recipient's attributes. In addition, the post-processing unit 305 may generate an award object that takes into consideration not only the country of residence of the award recipient, but also the country of residence of the award recipient and other parties involved in the award.For example, it may generate an award object that has the award text written in multiple languages, such as a certificate of award written in both Japanese and English. The post-processing unit 305 may also convert the award object into a format that will create a certificate of commendation that will be familiar to the recipient's family. For example, the post-processing unit 305 may generate two certificates of commendation: one for the recipient's workplace and one for his or her family. The post-processing unit 305 may convert the award object into an award object that will enable the generation of a certificate of commendation that will be familiar to the family, particularly a family photo or a photo taken at a company event to which the employee's family is invited.

[0064] The post-processing unit 305 may also set the recipient of the award content in accordance with the attributes of the award recipient. The attributes of the award recipient and the award-related parties here refer to attributes that can identify the recipient of the award content, such as information indicating personnel changes and long vacations within the company. The post-processing unit 305, for example, accesses the employee database 310 to acquire the personnel information of the award recipient. Some award recipients frequently travel between Japan and overseas, or frequently change their job titles and positions, resulting in transfers to different departments. Based on the personnel information of such award recipients, the post-processing unit 305 sends the award content to the recipient's most recent destination, or sends the award content when the recipient returns from a long vacation. This ensures that the award recipient receives the award content and also allows their colleagues at work to be happy about the award. Even if the award recipient moves due to a job transfer or other reason, the award content can be sent to the recipient's most recent residence, allowing their family to be happy about the award. Furthermore, the post-processing unit 305 may set the destination of the award content according to the attributes of the award event, for example, the location where the award ceremony will be held.

[0065] As described above, in the management server 300 according to the second modification of the embodiment, the post-processing unit 305 generates an award object in a format that corresponds to the attributes of the award recipient. This allows an award certificate to be easily generated in a format that is familiar to the award recipient, without requiring an operator to translate the certificate.

[0066] In addition, in the management server 300 according to the second modification of the embodiment, the post-processing unit 305 identifies a destination of the award content based on the attributes of the award recipient, thereby enabling the award content to be sent to a destination appropriate for the award recipient.

[0067] (Modification 3 of the embodiment) Here, a third modification of the embodiment will be described. In this modification, a confirmation task related to the award text is supported. The confirmation task related to the award text is, for example, a task of checking whether there are any errors in the award items, which are the bibliographic information of the award recipient in the award text, such as the title of the invention, the patent application number, and the name of the inventor. The post-processing unit 305 converts the data into a format appropriate for the attributes of the award recipient, for example, using a generation AI. The generation AI used here may be the same as or different from the generation AI used by the award information generation unit 304 to generate the award object. For example, the post-processing unit 305 extracts the award items indicated in the award object and requests the generation AI to read and output corresponding items from an external database that stores information corresponding to the extracted award items, in this case the Japan Patent Office DB 400. The post-processing unit 305 determines whether the corresponding items output by the generation AI are consistent with the award items, and if they are not consistent, corrects the description of the award items so that they match the corresponding items. This allows for correction of typographical variations and errors in the application data. The post-processing unit 305 also requests the generation AI to search for works such as papers written by the award recipient based on the recipient's name as an award item and output the name of the author of the work obtained through the search. The post-processing unit 305 determines whether the author name of the work output by the generation AI matches the name of the award recipient extracted as an award item, and if it does not match, corrects the description of the award item so that it matches the description of the corresponding item. This allows the award recipient to be appropriately given a title such as "Mr.", "Ms.", "Dr.", or "Prof."

[0068] Alternatively, the post-processing unit 305 may confirm with the worker whether or not to correct the award items. In this case, the post-processing unit 305 outputs the award object to the creation terminal 100 via the output unit 306 in a different display mode depending on whether the description of the award item matches the description of the corresponding item. For example, the post-processing unit 305 highlights the description of the award item that does not match the corresponding item by using bold, underlining, highlighting, etc., and displays the award object on the creation terminal 100 without highlighting the description of the award item that matches the corresponding item. The post-processing unit 305 acquires correction information indicating whether or not to correct the award items as information input by the worker via the acquiring unit 301. The post-processing unit 305 corrects the award items in accordance with the correction information.

[0069] The post-processing unit 305 may also allow the award recipient to select the name to be written on the certificate of commendation. In this case, the creation terminal 100 sends a question to the award recipient terminal 800 asking how the award recipient's name should be written as a part of the award. At this time, the creation terminal 100 may attach the copyrighted work or the like searched by the generation AI as evidence. This allows the name to be written on the certificate of commendation according to the award recipient's wishes. For example, the name can be written in a maiden name or old-style characters according to the recipient's wishes. In addition, the name written on the certificate of commendation for work and the certificate of commendation for family members can be written differently, and the family certificate can use a nickname that the family usually calls the recipient.

[0070] As described above, in the management server 300 according to the third modification of the embodiment, the post-processing unit 305 reads out corresponding items stored in the Patent Office DB 400, which is an external database that stores information corresponding to the award items, and determines whether the award items and the corresponding items are consistent. This allows the worker to correct spelling variations and description errors in the application data and set appropriate honorifics without having to take the time to check the award text.

[0071] Furthermore, in the management server 300 of the embodiment, the post-processing unit 305 outputs an award object via the output unit 306 so that, depending on the determination result of whether or not the award item and the corresponding item are consistent, the award item that is consistent with the corresponding item and the award item that is not consistent with the corresponding item are displayed in different display modes, and the award item that is inconsistent with the corresponding item is displayed in correspondence with the corresponding item. As a result, in the management server 300 of the embodiment, the operator can confirm whether or not to correct the award item, and can make the correction as intended by the operator.

[0072] (Fourth Modification of the Embodiment) Here, a fourth variation of the embodiment will be described. In this variation, information to be included in materials used in the evaluation process is generated as an award object. Materials used in the evaluation process include, for example, explanatory materials and a collection of anticipated questions and answers. The explanatory materials are materials used when explaining the award recipient or the award object to those involved in the awards process, such as evaluators who evaluate whether to award the award recipient or not. The collection of anticipated questions and answers is material that shows questions that are anticipated from those involved in the awards process when explaining the award recipient or the award object, and example answers to those questions.

[0073] The prompt generation unit 303 generates a prompt that requests the generation AI to generate explanatory materials for the award-receiving parties based on the application data and evaluation data. For example, the prompt generation unit 303 generates a prompt such as "Please generate explanatory materials to explain to the award-receiving parties attending the review meeting based on the 'application data' and 'evaluation data'." In this prompt, the "application data" and "evaluation data" fields display text sentences indicating the actual application content and evaluation content. The award information generating unit 304 inputs the prompt generated by the prompt generating unit 303 to the generating AI, and requests the generating AI to generate explanatory material as an award object.

[0074] The prompt generation unit 303 also generates a prompt that requests the generation AI to generate a collection of expected questions and answers to be asked when explaining to the award-receiving parties based on the application data and evaluation data. For example, the prompt generation unit 303 generates a prompt such as "Based on the 'application data' and 'evaluation data', please generate a collection of expected questions and answers to be asked by the award-receiving parties who will attend the review meeting." In this prompt, the "application data" and "evaluation data" fields display text sentences indicating the actual application content and evaluation content. The award information generating unit 304 inputs the prompt generated by the prompt generating unit 303 to the generating AI, and requests the generating AI to generate explanatory material as an award object.

[0075] Here, when generating the explanatory materials and anticipated questions and answers, it is desirable to take into consideration the positions and personalities of the award recipients, such as attendees at the review meeting. To address this issue, the prompt generation unit 303 may generate a prompt that requests the generation AI to generate explanatory materials and anticipated questions and answers based on the attributes of the award recipients, in addition to the application data and evaluation data. The attributes of the award recipients can be acquired, for example, from information stored in the employee database 310. This makes it possible to generate explanatory materials that provide explanations tailored to the award recipients and the award objects, as well as anticipated questions and answers that respond to questions anticipated based on the positions and personalities of the award recipients.

[0076] It is also possible to generate materials other than the explanatory materials and the anticipated questions and answers. For example, the awards information generating unit 304 may generate congratulatory messages to be spoken by the award recipients at the time of awards presentation.

[0077] The generation AI may also be configured to perform a primary response to inquiries using a collection of anticipated questions and answers. For example, if an award is dropped in rank or does not receive an award, it is expected that an inquiry will come from the department that submitted the application. Anticipating such inquiries, the award information generation unit 304 has the generation AI generate a collection of anticipated questions and answers in advance, including the reasons why the award was not received. In response to inquiries from the department that submitted the application, the person in charge will use the expected questions and answers generated by the AI ​​to provide a first response that objectively explains the reasons why the AI ​​did not win the award, such as lower sales performance compared to other award candidates.If necessary, the person in charge will then visit the department that submitted the application to provide an explanation.The first response will be able to convey the objective reasons for rejection generated by the AI, ensuring that explanations to the applicant proceed smoothly even if the content is difficult to convey to the applicant.

[0078] As described above, in the management server 300 of the embodiment, the award information generation unit 304 generates explanatory materials by requesting the generation AI to generate explanatory materials for the award recipients based on the application data and evaluation data acquired by the acquisition unit 301. This allows the management server 300 of the embodiment to support smooth explanations to the award recipients in the process of selecting award recipients.

[0079] Furthermore, in the management server 300 of the embodiment, the award information generation unit 304 generates a collection of anticipated questions and answers by requesting the generation AI to generate a collection of anticipated questions and answers that are anticipated when explaining the awards to those involved in the awards, based on the application data and evaluation data acquired by the acquisition unit 301. This enables the management server 300 of the embodiment to support smooth responses to questions from those involved in the awards in the process of selecting award recipients.

[0080] Furthermore, in the management server 300 of the embodiment, the award information generation unit 304 requests the generation AI to generate explanatory materials for the award ceremony participants or a collection of anticipated questions and answers expected to be used in explanations to the award ceremony participants, based on the attributes of the award ceremony participants in addition to the application data and evaluation data. This allows the management server 300 of the embodiment to generate explanatory materials or a collection of anticipated questions and answers that are appropriate for the position and personality of the award ceremony participants, thereby helping to make explanations to the award ceremony participants and responses to questions from the award ceremony participants proceed more smoothly.

[0081] In the above-described embodiment, the case of generating a certificate of commendation has been described as an example, but the present invention is not limited to this. The generation system 1 can be used to create various documents such as letters of appreciation, diplomas, certificates of passing, certifications, completion certificates, and evaluation reports, in order to present original awards to each recipient.

[0082] The generation system 1 can also be used to create a message book for a person who is being transferred or retiring. In this case, the award information generation unit 304 requests the generation AI to output, for example, a message book that lists the career history of both the person who writes the message book and the person who receives the message book. By listing the career history of both the person who writes the message book and the person who receives the message book, it may become clear that they have an unexpected connection, such as having participated in the same training or event, even if they have never met. This allows the person who writes the message book to find a connection with the person who receives the message book and write a heartfelt comment for the person.

[0083] 1 may be realized by recording a program for realizing all or part of the functions of the generation system 1 and management server 300 on a computer-readable recording medium, and having a computer system load and execute the program recorded on the recording medium. Note that the term "computer system" here includes hardware such as an OS and peripheral devices.

[0084] Furthermore, if a WWW system is used, the "computer system" also includes the homepage provision environment (or display environment). "Computer-readable recording media" refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. Furthermore, "computer-readable recording media" also includes devices that dynamically store programs for a short period of time, such as communication lines used when transmitting programs over networks like the Internet or over communication lines like telephone lines, and devices that store programs for a fixed period of time, such as volatile memory within computer systems that serve as servers or clients. The programs may also be programs that implement some of the aforementioned functions, or may be programs that can realize the aforementioned functions in combination with programs already stored in the computer system.

[0085] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like are also included within the scope that does not deviate from the gist of the present invention.

[0086] Various aspects of the present disclosure are summarized below as appendices.

[0087] (Appendix 1) an acquisition unit that acquires application data for applying for an award for an award recipient and evaluation data created by an evaluator who evaluates the award recipient; an award information generation unit that generates an award object by requesting a generation AI to generate an award object relating to the award of the award recipient based on the application data and the evaluation data acquired by the acquisition unit; and An award object generating device comprising:

[0088] (Appendix 2) The acquisition unit acquires applicant profile data introducing the award recipient, The award information generation unit requests the generation AI to generate the award object based on the application data, the evaluation data, and the applicant profile data acquired by the acquisition unit. 2. The award object generating device according to claim 1.

[0089] (Appendix 3) an output unit that outputs the award object; a post-processing unit that acquires, via the acquiring unit, an operation input for the award object output by the output unit, and changes the award object in accordance with the acquired operation input; 3. The award object generating device according to claim 1 or 2, further comprising:

[0090] (Appendix 4) The post-processing unit generates a trained model that learns a correspondence relationship between a pre-change object, which is the award object before being edited in accordance with the operation input, and a post-change object, which is the award object edited in accordance with the operation input; The award information generation unit edits the award object generated by the generation AI using the trained model. 4. The award object generating device according to claim 3.

[0091] (Appendix 5) a post-processing unit that generates award content including the award object; an output unit that outputs the award content; 5. The award object generating device according to claim 1, further comprising:

[0092] (Appendix 6) an award information storage unit for storing award content including the award object; an output unit that outputs address information indicating a storage location of the award content; 6. The award object generating device according to any one of claims 1 to 5, further comprising:

[0093] (Appendix 7) an award information storage unit that stores celebratory content obtained in response to the award of the award recipient; an output unit that outputs address information indicating a storage location of the celebration content; 7. The award object generating device according to any one of claims 1 to 6, further comprising:

[0094] (Appendix 8) a post-processing unit that generates the award object in a format corresponding to the attributes of the award recipient; 8. The award object generating device according to any one of claims 1 to 7, further comprising:

[0095] (Appendix 9) a post-processing unit that identifies a destination of the award content including the award object based on the attributes of the award recipient; 9. The award object generating device according to any one of appendices 1 to 8, further comprising:

[0096] (Appendix 10) a post-processing unit that reads out corresponding items stored in an external database that stores information corresponding to the award items based on the award items indicated in the award object generated by the generation AI, and determines whether the award items and the corresponding items are consistent; an output unit that outputs the award object so that the award item that matches the corresponding item and the award item that does not match the corresponding item are displayed in different display modes according to the determination result by the post-processing unit, and the award item that does not match the corresponding item is displayed in correspondence with the corresponding item; 10. The award object generating device according to any one of claims 1 to 9, further comprising:

[0097] (Appendix 11) The award information generation unit generates the explanatory materials by requesting a generation AI to generate explanatory materials for award-related parties based on the application data and the evaluation data acquired by the acquisition unit. 11. An award object generating device according to any one of claims 1 to 10.

[0098] (Appendix 12) The award information generation unit generates the collection of expected questions and answers by requesting a generation AI to generate a collection of expected questions and answers that are expected when explaining the award to award-related parties based on the application data and the evaluation data acquired by the acquisition unit. 12. An award object generating device according to any one of claims 1 to 11.

[0099] (Appendix 13) The award information generation unit requests the generation AI to generate explanatory materials for the award-winning parties or a collection of expected questions and answers expected in the explanation to the award-winning parties based on the application data, the evaluation data, and the attributes of the award-winning parties, 13. The award object generating device according to claim 11 or 12.

[0100] (Appendix 14) a pre-processing unit that extracts non-reflection information that is not to be reflected in the award object from the application data and the evaluation data acquired by the acquisition unit; The award information generation unit requests the generation AI to generate the award object based on the application data and the evaluation data acquired by the acquisition unit, excluding the non-reflection information. 14. An award object generating device according to any one of claims 1 to 13.

[0101] (Appendix 15) The award information generation unit In the process of generating the award object based on the application data and the evaluation data, extracting candidates for non-reflection information from the application data and the evaluation data that should not be reflected in the award object, and requesting a generation AI to inquire whether or not the extracted non-reflection information should be reflected in the award object; requesting a generation AI to generate the award object based on the response to the query; 15. An award object generating device according to any one of appendices 1 to 14.

[0102] (Appendix 16) An award object generation device according to any one of Supplementary Note 1 to Supplementary Note 15; a creation terminal communicably connected to the award object creation device, the creation terminal transmitting the application data and the evaluation data to the award object creation device; An award object generation system comprising:

[0103] (Appendix 17) 1. An award object generation method performed by an award object generation device that is a computer, comprising: The acquisition unit acquires application data for applying for an award for the award recipient and evaluation data created by an evaluator who evaluates the award recipient, an award information generation unit requests a generation AI to generate an award object relating to the award of the award recipient based on the application data and the evaluation data acquired by the acquisition unit, thereby generating the award object; How to generate an award object.

[0104] (Appendix 18) The award object generating device is a computer. Acquire application data for applying for an award for the award recipient and evaluation data created by an evaluator who evaluates the award recipient; generating an award object for awarding the award recipient by requesting a generation AI to generate the award object based on the acquired application data and evaluation data; program. [Explanation of symbols]

[0105] 1. Generator System 300 Management server (award object generation device) 301 Acquisition Department 302 Pretreatment section 303 Prompt Generation Unit 304 Award Information Generation Department 305 Post-processing section 306 Output section 307 Award Information Storage Unit

Claims

1. an acquisition unit that acquires application data for applying for an award for an award recipient and evaluation data created by an evaluator who evaluates the award recipient; an award information generation unit that generates an award object related to the award of the award recipient by requesting a generation AI to generate the award object based on the application data and the evaluation data acquired by the acquisition unit; and An award object generating device comprising:

2. The acquisition unit acquires applicant profile data introducing the award recipient, The award information generation unit requests a generation AI to generate the award object based on the application data, the evaluation data, and the applicant profile data acquired by the acquisition unit. The award object generating device according to claim 1.

3. an output unit that outputs the award object; a post-processing unit that acquires, via the acquiring unit, an operation input for the award object output by the output unit, and changes the award object in accordance with the acquired operation input; The award object generating device according to claim 1 , further comprising:

4. The post-processing unit generates a trained model that learns a correspondence relationship between a pre-change object, which is the award object before being edited in accordance with the operation input, and a post-change object, which is the award object edited in accordance with the operation input; The award information generation unit edits the award object generated by the generation AI using the learned model. The award object generating device according to claim 3 .

5. a post-processing unit that generates award content including the award object; an output unit that outputs the award content; The award object generating device according to claim 1 , further comprising:

6. an award information storage unit for storing award content including the award object; an output unit that outputs address information indicating a storage location of the award content; The award object generating device according to claim 1 , further comprising:

7. an award information storage unit that stores celebratory content obtained in response to the award of the award recipient; an output unit that outputs address information indicating a storage location of the celebration content; The award object generating device according to claim 1 , further comprising:

8. a post-processing unit that generates the award object in a format corresponding to the attributes of the award recipient; The award object generating device according to claim 1 , further comprising:

9. a post-processing unit that identifies a destination of the award content including the award object based on the attributes of the award recipient; The award object generating device according to claim 1 , further comprising:

10. a post-processing unit that reads out corresponding items stored in an external database that stores information corresponding to the award items based on the award items indicated in the award object generated by the generation AI, and determines whether the award items and the corresponding items are consistent; an output unit that outputs the award object so that the award item that matches the corresponding item and the award item that does not match the corresponding item are displayed in different display modes according to the determination result by the post-processing unit, and the award item that does not match the corresponding item is displayed in correspondence with the corresponding item; The award object generating device according to claim 1 , further comprising:

11. The award information generation unit generates the explanatory material by requesting a generation AI to generate explanatory material for award-related parties based on the application data and the evaluation data acquired by the acquisition unit. The award object generating device according to claim 1 .

12. The award information generation unit generates the collection of expected questions and answers by requesting a generation AI to generate a collection of expected questions and answers that are expected when explaining the award to award-related parties based on the application data and the evaluation data acquired by the acquisition unit. The award object generating device according to claim 1 .

13. The award information generation unit requests the generation AI to generate explanatory materials for the award-receiving parties or a collection of expected questions and answers expected in the explanation for the award-receiving parties based on the application data, the evaluation data, and the attributes of the award-receiving parties.

13. The award object generating device according to claim 11 or 12.

14. a pre-processing unit that extracts non-reflection information that is not to be reflected in the award object from the application data and the evaluation data acquired by the acquisition unit; The award information generation unit requests a generation AI to generate the award object based on data obtained by excluding the non-reflection information from the application data and the evaluation data acquired by the acquisition unit. The award object generating device according to claim 1 .

15. The award information generation unit In the process of generating the award object based on the application data and the evaluation data, extracting candidates for non-reflection information from the application data and the evaluation data that should not be reflected in the award object, and requesting a generation AI to inquire whether the extracted non-reflection information should be reflected in the award object; requesting a generation AI to generate the award object based on the response to the query; The award object generating device according to claim 1 .

16. The award object generating device according to claim 1 ; a creation terminal communicably connected to the award object creation device, the creation terminal transmitting the application data and the evaluation data to the award object creation device; An award object generation system comprising:

17. 1. An award object generation method performed by an award object generation device that is a computer, comprising: The acquisition unit acquires application data for applying for an award for the award recipient and evaluation data created by an evaluator who evaluates the award recipient, an award information generation unit requests a generation AI to generate an award object relating to the award of the award recipient based on the application data and the evaluation data acquired by the acquisition unit, thereby generating the award object; How to generate an award object.

18. The award object generating device is a computer. Acquire application data for applying for an award for the award recipient and evaluation data created by an evaluator who evaluates the award recipient; generating an award object relating to the award of the award recipient by requesting a generation AI to generate the award object based on the acquired application data and evaluation data; program.

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