Data processing device, data processing method, and data processing program

Abstract

This disclosure aims to improve the output of the generative model. [Solution] The data processing device includes a processor, which acquires subject information that shows the subject's daily life, inputs a first prompt, which is a prompt for outputting the characteristics and degree of the subject's developmental disorder shown in the acquired subject information, into a generation model that generates information according to the input data, and outputs the characteristics and degree of the subject's developmental disorder, which is the output result of the generation model, to a predetermined output target.

Description

Technical Field

[0001] The technology of the present disclosure relates to a data processing device, a data processing method, and a data processing program.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art, there is still room for improvement in the content output from a generation model such as the above language model.

Means for Solving the Problems

[0005] A data processing device according to a first aspect includes a processor, the processor obtaining subject information showing the daily state of a subject, inputting a first prompt, which is a prompt for outputting the characteristics and degree of the developmental disorder of the subject shown in the obtained subject information, into a generation model that generates information according to input data, and outputting the characteristics and degree of the developmental disorder of the subject, which are the output results of the generation model, to a predetermined output target.

[0006] In the first embodiment of the data processing device, the processor acquires subject information that shows the subject's daily life. The processor also inputs a first prompt to a generation model for outputting the characteristics and degree of the subject's developmental disorder as shown in the acquired subject information. The processor then outputs the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, to a predetermined output target. As a result, this data processing device makes it possible to easily grasp the characteristics and degree of the subject's developmental disorder compared to going to a medical institution or child guidance center for consultation.

[0007] In the second embodiment, the data processing device, in the first embodiment, adds an instruction to the first prompt to output findings regarding the subject's development as shown in the acquired subject information, and outputs the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, and the findings regarding the subject's development to the predetermined output target.

[0008] In the data processing device of the second embodiment, the processor adds an instruction to the first prompt to output findings regarding the subject's development as indicated in the acquired subject information. The processor then outputs the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, along with the findings regarding the subject's development, to a predetermined output target. As a result, this data processing device makes it easier to obtain findings regarding the subject's development compared to going to a medical institution or child guidance center for consultation.

[0009] In the third embodiment, the data processing device, in the second embodiment, includes a processor that acquires user input relating to at least one career counseling session for the subject during elementary school, junior high school, high school, and after high school graduation, adds instructions to the first prompt to output a response to the career counseling session indicated in the acquired user input, and outputs the characteristics and degree of the subject's developmental disability, which are output results of the generation model, the findings regarding the subject's development, and the response to the career counseling session to the predetermined output target.

[0010] In the third embodiment of the data processing device, the processor acquires user input regarding at least one career counseling session for the subject during elementary school, junior high school, high school, and after high school graduation. The processor also adds an instruction to the first prompt to output the response to the career counseling session indicated in the acquired user input. The processor then outputs the characteristics and degree of the subject's developmental disability, which are output results of the generation model, along with the findings regarding the subject's development and the response to the career counseling session, to a predetermined output target. As a result, this data processing device makes it easier to understand the career path recommended for the subject compared to visiting medical institutions, child guidance centers, or other consultation facilities.

[0011] In the fourth embodiment, the data processing device, in any one of the first to third embodiments, includes the processor acquiring actual age information indicating the actual age of the subject, adding an instruction to the first prompt to output the developmental age of the subject corresponding to the actual age indicated in the acquired actual age information, and outputting the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, and the developmental age corresponding to the subject's actual age, to the predetermined output target.

[0012] In the fourth embodiment of the data processing device, the processor acquires chronological age information indicating the subject's actual age. The processor also adds an instruction to the first prompt to output the subject's developmental age corresponding to the chronological age indicated in the acquired chronological age information. The processor then outputs the characteristics and degree of the subject's developmental disorder, which are the output results of the generative model, and the subject's developmental age corresponding to their actual age, to a predetermined output target. As a result, this data processing device makes it easier to determine the subject's developmental age corresponding to their actual age compared to visiting medical institutions, child guidance centers, or other consultation facilities.

[0013] In the fifth embodiment, the data processing device, in the fourth embodiment, includes a processor that acquires future age information indicating the subject's future age, adds an instruction to the first prompt to output the subject's developmental age corresponding to the future age indicated in the acquired future age information, and outputs the characteristics and degree of the subject's developmental disorder, which are output results of the generation model, the subject's developmental age corresponding to their actual age, and the subject's developmental age corresponding to their future age, to the predetermined output target.

[0014] In the fifth embodiment of the data processing device, the processor acquires future age information indicating the subject's future age. The processor also adds an instruction to the first prompt to output the subject's developmental age corresponding to the future age indicated in the acquired future age information. The processor then outputs the characteristics and degree of the subject's developmental disorder, which are the output results of the generative model, the developmental age corresponding to the subject's actual age, and the developmental age corresponding to the subject's future age to a predetermined output target. As a result, the data processing device makes it possible to understand the subject's future developmental age based on their current development.

[0015] In the sixth embodiment, the data processing device, in any one of the first to fifth embodiments, includes: acquiring actual age information indicating the actual age of the subject; inputting a second prompt, which is a prompt for outputting details of the subject's daily life that should be added by the next information update, to the generation model, in accordance with the actual age indicated in the acquired actual age information and the characteristics and degree of the subject's developmental disability output to the predetermined output target; and outputting the details of the subject's daily life that should be added, which is the output result of the generation model, to the predetermined output target when the period until the next information update is within a predetermined number of days.

[0016] In the sixth embodiment of the data processing device, the processor acquires real age information indicating the subject's actual age. The processor also inputs a second prompt to the generation model for outputting information about the subject's daily life that should be added by the next information update, based on the actual age indicated in the acquired real age information and the characteristics and degree of the subject's developmental disability output to a predetermined output target. The processor then outputs the information about the subject's daily life that should be added, which is the output result of the generation model, to the predetermined output target when the period until the next information update is within a predetermined number of days. This prevents the data processing device from forgetting to prepare the necessary information about the subject's daily life by the next information update.

[0017] In the seventh embodiment, the data processing device, in any one of the first to sixth embodiments, includes a processor that acquires user input regarding the problems of the subject, inputs a third prompt, which is a prompt for outputting an answer to the problems indicated in the acquired user input that takes into account the characteristics of the subject's developmental disability, into the generation model, and outputs the answer to the problems of the subject, which is the output result of the generation model, to the predetermined output target.

[0018] In the seventh embodiment of the data processing device, the processor acquires user input regarding the problems of the subject. The processor also inputs a third prompt into a generative model to output an answer that takes into account the characteristics of the subject's developmental disability, based on the problems indicated in the acquired user input. The processor then outputs the answer to the problems of the subject, which is the output result of the generative model, to a predetermined output target. As a result, this data processing device makes it easier to obtain advice on the problems of the subject compared to going to a medical institution or child guidance center for consultation.

[0019] In the data processing device of the eighth embodiment, in any one of the first to seventh embodiments, the processor acquires user input asking about a person or facility that is compatible with the subject, and based on the characteristics and degree of the subject's developmental disability, inputs a fourth prompt, which is a prompt for outputting a person or facility that is compatible with the subject as indicated in the acquired user input, into the generation model, and outputs the person or facility that is compatible with the subject, which is the output result of the generation model, to the predetermined output target.

[0020] In the data processing device of the eighth embodiment, the processor obtains user input asking about individuals or facilities that are compatible with the subject. The processor also inputs a fourth prompt into the generative model to output individuals or facilities that are compatible with the subject, based on the obtained user input, taking into account the characteristics and degree of the subject's developmental disability. The processor then outputs the individuals or facilities that are compatible with the subject, which are the output result of the generative model, to a predetermined output target. As a result, this data processing device can support the relationship building of the subject's guardians and reduce the effort required of guardians to find a suitable facility for the subject.

[0021] The data processing method of the ninth embodiment involves a computer performing the following steps: acquiring subject information that shows the subject's daily life; inputting a first prompt, which is a prompt for outputting the characteristics and degree of the subject's developmental disability as shown in the acquired subject information, into a generative model that generates information according to the input data; and outputting the characteristics and degree of the subject's developmental disability, which is the output result of the generative model, to a predetermined output target.

[0022] In the data processing method of the ninth aspect, a computer executes a process of acquiring subject information indicating the daily situation of a subject. Further, in the data processing method, the computer executes a process of inputting a first prompt for outputting the characteristics and degree of the subject's developmental disorder indicated in the acquired subject information into a generation model. Then, in the data processing method, the computer executes a process of outputting the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, to a predetermined output target. Thereby, according to this data processing method, compared with the case of going to a consultation destination such as a medical institution and a child guidance center for consultation, it becomes possible to easily grasp the characteristics and degree of the subject's developmental disorder.

[0023] The data processing program of the tenth aspect causes a computer to execute a process of acquiring subject information indicating the daily situation of a subject, inputting a first prompt, which is a prompt for outputting the characteristics and degree of the subject's developmental disorder indicated in the acquired subject information, into a generation model that generates information according to input data, and outputting the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, to a predetermined output target.

[0024] In the data processing program of the tenth aspect, the computer is caused to execute a process of acquiring subject information indicating the daily situation of a subject. Further, in the data processing program, the computer is caused to execute a process of inputting a first prompt for outputting the characteristics and degree of the subject's developmental disorder indicated in the acquired subject information into a generation model. Then, in the data processing program, the computer is caused to execute a process of outputting the characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, to a predetermined output target. Thereby, according to this data processing program, compared with the case of going to a consultation destination such as a medical institution and a child guidance center for consultation, it becomes possible to easily grasp the characteristics and degree of the subject's developmental disorder.

Brief Description of Drawings

[0025] [Figure 1]It is a conceptual diagram showing an example of the configuration of a data processing system. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device. [Figure 3] Schematically shows the functional configuration of a specific processing unit of a data processing device. [Figure 4] Schematically shows an example of the operation flow of a first specific process by a data processing device. [Figure 5] It is a first explanatory diagram showing an example of the display of a display. [Figure 6] It is a second explanatory diagram showing an example of the display of a display. [Figure 7] Schematically shows an example of the operation flow of a second specific process by a data processing device. [Figure 8] It is a third explanatory diagram showing an example of the display of a display. [Figure 9] Schematically shows an example of the operation flow of a third specific process by a data processing device. [Figure 10] It is a fourth explanatory diagram showing an example of the display of a display. [Figure 11] Schematically shows an example of the operation flow of a fourth specific process by a data processing device. [Figure 12] It is a fifth explanatory diagram showing an example of the display of a display.

Embodiments for Carrying Out the Invention

[0026] Hereinafter, an example of embodiments of a data processing device, a data processing method, and a data processing program according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0027] First, the terms used in the following description will be explained.

[0028] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), or an APU (Accelerated Processing Unit).

[0029] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0030] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0031] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0032] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0033] Figure 1 shows an example of the configuration of the data processing system 10 according to the embodiment.

[0034] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. An example of the smart device 14 is a smartphone. In this embodiment, the data processing device 12 is an example of a "data processing device" according to the technology of this disclosure, and the smart device 14 is an example of a "predetermined output target" according to the technology of this disclosure.

[0035] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). The computer 22 is an example of a "computer" relating to the technology of this disclosure, and the processor 28 is an example of a "processor" relating to the technology of this disclosure.

[0036] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0037] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0038] The output device 40 includes a display 40A and a speaker 40B, and presents data to a person by outputting it in a form perceptible to the person (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0039] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0040] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0041] As shown in Figure 2, in the data processing device 12, specific processing is performed by the processor 28. The storage 32 stores a specific processing program 56. The specific processing program 56 is an example of a "data processing program" related to the technology of this disclosure. Note that the "data processing program" related to the technology of this disclosure can also be applied as a program product. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0042] The storage 32 stores the data generation model 58. The data generation model 58 is used by the specific processing unit 290. The data generation model 58 is an example of a "generation model" related to the technology of this disclosure.

[0043] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0044] Next, the functional configuration of the specific processing unit 290 will be described. Figure 3 is a block diagram showing an example of the functional configuration of the specific processing unit 290.

[0045] As shown in Figure 3, the specific processing unit 290 includes an input unit 292, a processing unit 294, and an output unit 296.

[0046] The input unit 292 acquires user input received by the smart device 14. Specifically, the input unit 292 acquires at least one of the following data types from the user: text, voice, image, and video, received by the smart device 14.

[0047] The processing unit 294 performs specific processing using the data generation model 58. Specifically, the processing unit 294 inputs a predetermined prompt to the data generation model 58 and obtains an output result.

[0048] The output unit 296 transmits (outputs) the output result of the data generation model 58, that is, the result of the specific processing, to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing.

[0049] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include ) and others. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, image data representing images, and video data representing videos. The data generation model 58 infers from the input inference data according to the instructions shown by the prompts, and outputs the inference results in data formats such as audio data, text data, graph data, tabular data, and image data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0050] Next, the operation of the data processing system 10 will be explained. First, an example of the flow of the first identification process will be explained with reference to Figure 4. As an example, the first identification process is performed when the data processing device 12 acquires user input specifying a target person in a predetermined application received by the smart device 14. The target person is, for example, a person including children and adults suspected of having a developmental disorder. However, it is not limited to this, and the "target person" may also be a person diagnosed with a developmental disorder by a doctor or the like. Here, the flow of the first identification process shown in Figure 4 is an example of a "data processing method" relating to the technology of this disclosure.

[0051] In step S10 shown in Figure 4, the processor 28 acquires various information. Then, the processor 28 proceeds to step S11. Here, the various information includes at least registration information showing the subject's name and gender, and subject information showing the subject's daily life.

[0052] The registration information is information about the subject that the subject's guardian (e.g., parent) has registered in the application in advance. For example, the registration information includes the subject's facial photograph, name, gender, date of birth, address, and hobbies. The registration information registered by the guardian is linked to the subject and stored in storage 32. Then, in step S10, the processor 28 can retrieve the registration information corresponding to the subject specified in the user input from storage 32 as various types of information. The subject's date of birth included in the registration information is an example of "actual age information indicating the subject's actual age" related to the technology disclosed herein.

[0053] The subject information includes, for example, image or video data showing the subject's daily activities such as playing with their hands, exercising, reading and writing, conversing, eating, their actions in response to tasks assigned to them, and tantrums, as well as image data showing the evaluation of tasks assigned to the subject and the subject's behavior at the therapeutic facility. In this embodiment, some of the image and video data stored in the storage 50 of the smart device 14 owned by the guardian becomes the subject information. For example, the subject information may be image and video data of the subject who is close to the actual age (e.g., within the last year) calculated from the above registration information, extracted by the processor 46 performing known image processing on the image and video data stored in the storage 50. Alternatively, the subject information may be image and video data selected by the guardian from the image and video data stored in the storage 50. The processor 46 transmits the determined subject information to the data processing device 12. Then, in step S10, the processor 28 can acquire the subject information transmitted from the processor 46 as various information.

[0054] Here, if a predetermined user input is made by a guardian, the processor 28 acquires information based on the predetermined user input as various information in step S10. The guardian can use the smart device 14 to make a career consultation request for the subject and a question about the subject's future developmental age as the predetermined user input. If the processor 46 receives a career consultation request as the predetermined user input, it transmits consultation information related to the career consultation to the data processing device 12. If it receives a question about the subject's future developmental age as the predetermined user input, it transmits future age information indicating the subject's future age to the data processing device 12. Then, in step S10, the processor 28 can acquire the consultation information and future age information transmitted from the processor 46 as various information.

[0055] In step S11, the processor 28 generates a first prompt to output a diagnostic result regarding the subject's development based on the various information acquired in step S10. Then, the processor 28 proceeds to step S12.

[0056] Here, the processor 28 adds at least instructions to the first prompt to include the subject's facial photograph, name, gender, date of birth, characteristics of developmental disability, degree of disability, developmental findings, and developmental age corresponding to their actual age in the diagnostic results. Then, if the guardian makes the predetermined user input, the processor 28 adds instructions to the first prompt to include at least one of the subject's career counseling response and their developmental age corresponding to their future age in the diagnostic results.

[0057] For example, if the various information obtained in step S10 includes registration information, target information, future age information, and consultation information, the processor 28 may generate a first prompt as follows:

[0058] "First prompt" Please output the diagnostic results regarding the development of the subject indicated in the following registration information and subject information. Registration information → Face photo.jpeg, Name: User A, Gender: Male, Date of birth: December 17, 2020 Subject information → Image data 1.jpeg, Image data 2.jpeg, Video data 1.mp4, Video data 2.mp4... Please include the following in your diagnosis: (1) A photograph of the subject's face (2) Name of the person concerned (3) Gender of the subject (4) Date of birth of the person concerned (5) Characteristics of the developmental disability of the subject (6) The degree of disability of the person concerned (7) Findings regarding the development of the subject (8) Developmental age corresponding to the actual age of the subject (9) Developmental age corresponding to the subject's future age (10) Responses regarding career counseling for the subjects →(8) Output two types of data: a radar chart showing the developmental age for each of the six items—speech, social interaction, locomotion, hand movements, basic habits, and language comprehension—and the score corresponding to each developmental age, as well as an overall developmental age that takes into account the developmental ages for all six items. →(9) The future age should be "20 years and 0 months" as shown in the future age information obtained. →(10) Please output the answer based on the content of the consultation information obtained, which is "What should I do about my child's elementary school education?"

[0059] In step S12, the processor 28 inputs the first prompt generated in step S11 to the data generation model 58 and obtains the output result from the data generation model 58. Then, the processor 28 proceeds to step S13.

[0060] In step S13, the processor 28 outputs the output result of the data generation model 58 in step S12 to the smart device 14 of the guardian of user A (hereinafter referred to as "guardian A"). On the smart device 14, the processor 46 uses the output device 40 to output the result of the first identification process. As a result, the diagnostic result regarding user A's development is displayed on the display 40A. The diagnostic result is then linked to user A and stored in the storage 32. The processor 28 then terminates the first identification process.

[0061] Next, we will explain an example of a display shown on the display 40A of parent A's smart device 14 based on the execution of the first specific process.

[0062] Figure 5 is the first explanatory diagram showing an example of the display of the display 40A. As an example, Figure 5 shows the results display screen 70 showing the diagnostic results regarding user A's development.

[0063] The results display screen 70 shown in Figure 5 is equipped with a registration information display unit 71, a results display unit 72, a results display unit 73, a results display unit 74, a results display unit 75, a message display unit 76, and a message display unit 77.

[0064] The registration information display unit 71 is the part that displays user A's registration information, and is provided with a first display unit 71A that displays a facial photograph and a second display unit 71B that displays the name, gender, and date of birth. In Figure 5, for explanatory purposes, the inside of the first display unit 71A is shown as blank, but in reality, the facial photograph of user A shown in the image data (e.g., facialphoto.jpeg) included in the first prompt is displayed. The second display unit 71B displays "Name: User A Gender: Male Date of Birth: 2020 / 12 / 17", showing the contents of the registration information included in the first prompt.

[0065] The results display section 72 is the part that displays the developmental age corresponding to the actual age of user A. This developmental age is an indicator that shows what age user A is at in terms of development relative to their actual age. The results display section 72 displays "Actual age: 4 years 0 months → Developmental age: 2 years 1 month," indicating that user A's developmental age, corresponding to their actual age, is 2 years and 1 month.

[0066] The result display unit 73 is the part that displays the developmental age corresponding to the future age (e.g., 20 years and 0 months) specified by User A in the first prompt. This developmental age is an indicator that shows what age User A will be in the future according to the future age specified in the first prompt. The result display unit 73 displays "Future age: 20 years and 0 months → Developmental age: 10 years and 0 months", indicating that User A's developmental age when they reach 20 years and 0 months will be 10 years and 0 months.

[0067] The results display section 74 is the part that displays the characteristics of user A's developmental disability. The results display section 74 displays "Characteristics: ASD / Intellectual Disability," indicating that user A has ASD (Autism Spectrum Disorder) and also has an intellectual disability. In addition to ASD, the characteristics of developmental disabilities that can be displayed in the results display section 74 include well-known ones such as ADHD (Attention Deficit Hyperactivity Disorder), LD (Learning Disability), language development delay, and DCD (Developmental Coordination Disorder).

[0068] The results display section 75 is the part that displays the degree of user A's disability. The results display section 75 displays "Degree of disability: B1," indicating that user A has a disability rating of "B1" on their disability certificate and has a moderate intellectual disability. In addition to B1, the degrees of disability that can be displayed in the results display section 75 include well-known ones such as "A1" for severe intellectual disability, "A2" for moderate intellectual disability and co-occurring physical disability of grade 3 or higher, and "B2" for mild intellectual disability.

[0069] The message display unit 76 is the part that displays findings regarding User A's development as a message to Parent A. The message display unit 76 displays "Current intellectual ability is estimated to be around that of a 2-year-old...", presenting findings regarding User A's development as if a doctor were giving their opinion.

[0070] The message display unit 77 is the part that displays a message to parent A, in response to the career guidance question specified in user A's first prompt. The message display unit 77 displays "Given the current situation, we suggest that you choose a special needs school for elementary school," indicating a suggestion regarding user A's elementary school education. Note that the career guidance questions that can be displayed in the message display unit 77 are not limited to those concerning elementary school education, but may include responses to at least one career guidance question related to elementary school, junior high school, high school, and after high school graduation, as specified in the first prompt.

[0071] Figure 6 is a second explanatory diagram showing an example of the display on display 40A. As an example, Figure 6 shows the resulting display screen 70 after the display content has been switched by an operation on parent A's smart device 14.

[0072] The results display screen 70 shown in Figure 6 is equipped with a registration information display unit 71 and a chart display unit 78. Note that the display content of the registration information display unit 71 is the same as in Figure 5, so its explanation is omitted.

[0073] The chart display unit 78 is the part that displays a radar chart showing the developmental age for each of the multiple items specified by User A's first prompt, and the score corresponding to each developmental age. The radar chart shown in Figure 6 shows the developmental age for each of the six items: speech, interpersonal relationships, locomotion, hand movements, basic habits, and language comprehension, and the score corresponding to each developmental age. For example, according to this radar chart, User A's developmental age for the speech item is 0 years and 7 months, and the score corresponding to "Developmental Age: 0 years and 7 months" is 16 out of 100 points.

[0074] Next, we will explain an example of the flow of the second specific processing step, referring to Figure 7. As an example, the second specific processing step starts at a predetermined timing after the execution of the first specific processing step.

[0075] In step S20 shown in Figure 7, the processor 28 retrieves the diagnostic results regarding the subject's development stored in the storage 32. Hereafter, we will assume that the processor 28 retrieves the diagnostic results corresponding to user A from the storage 32. The processor 28 then proceeds to step S21.

[0076] In step S21, the processor 28 generates a second prompt to output details of user A's daily life that should be added by the next information update, based on the diagnostic results obtained in step S20. These details of user A's daily life that should be added are, for example, details of user A's behavior in a specific situation or environment. The processor 28 then proceeds to step S22.

[0077] In this embodiment of the data processing system 10, the processor 28 periodically updates the diagnostic results regarding the subject's development (e.g., once every six months, once a year). When it is time for an update, the processor 28 notifies the guardian's smart device 14 corresponding to the subject to be updated that an update will be performed. Subsequently, based on the response operation performed by the guardian, the processor 28 retrieves the diagnostic results corresponding to the subject to be updated from the storage 32. Then, based on the retrieved diagnostic results, the processor 28 executes the first identification process shown in Figure 4 again to generate new diagnostic results.

[0078] As an example, processor 28 generates a second prompt as follows. Note that, for illustrative purposes, the second prompt below only shows the date of birth, characteristics of the developmental disorder, and the degree of the disorder included in the diagnostic results, but in reality, it includes the entire contents of the diagnostic results stored in storage 32.

[0079] "Second prompt" Based on the developmental assessment results for User A below, please output the details of User A's daily life that should be added by the next information update (Month X, 20XX). Diagnosis results →Date of birth: December 17, 2020 →Characteristics of developmental disorders: ASD / Intellectual disability →Degree of disability: B1 ...

[0080] In step S22, the processor 28 inputs the second prompt generated in step S21 to the data generation model 58 and obtains the output result from the data generation model 58. Then, the processor 28 proceeds to step S23.

[0081] In step S23, the processor 28 determines whether it is time to output the result of the second specific processing to the parent A's smart device 14. If the processor 28 determines that it is time to output (step S23: YES), it proceeds to step S24. On the other hand, if the processor 28 determines that it is not time to output (step S23: NO), it waits until it is time to output. As an example, the processor 28 determines that it is time to output when the period until the next information update is within a predetermined number of days.

[0082] In step S24, the processor 28 outputs the output result of the data generation model 58 in step S22 to the parent A's smart device 14. On the smart device 14, the processor 46 uses the output device 40 to output the result of the second specific processing. As a result, the display 40A displays the daily activities of user A that should be added before the next information update. Then, the processor 28 terminates the second specific processing.

[0083] Next, we will explain an example of a display that appears on the display 40A of parent A's smart device 14 based on the execution of the second specific processing.

[0084] Figure 8 is a third explanatory diagram showing an example of the display of display 40A. As an example, Figure 8 shows a notification screen 80 that notifies parent A of the daily activities of user A that should be added before the next information update.

[0085] The notification screen 80 shown in Figure 8 is provided with a message display section 81 and an OK button 82.

[0086] The message display unit 81 is the part that displays information about User A's daily life that should be added as a message to Parent A. For example, the message display unit 81 displays "The next information update date for User A is 20XX / X / X. We apologize for the inconvenience, but please prepare images, videos, or text, etc., showing the following aspects of User A's daily life by 20XX / X / X. 1.... 2.... 3...." and shows the aspects of User A's daily life that Parent A should prepare.

[0087] The OK button 82 is a button used to change the content displayed on the display 40A to a predetermined home screen (not shown). When the OK button 82 is pressed, the processor 46 changes the content displayed on the display 40A from the notification screen 80 to the home screen.

[0088] Next, we will explain an example of the flow of the third specific process, referring to Figure 9. As an example, the third specific process is executed automatically and repeatedly at regular intervals after the execution of the first specific process.

[0089] In step S30 shown in Figure 9, the processor 28 determines whether the first trigger condition is met. If the processor 28 determines that the first trigger condition is met (step S30: YES), it proceeds to step S31. On the other hand, if the processor 28 determines that the first trigger condition is not met (step S30: NO), it terminates the third identification process. The processor 28 acquires user input received by the smart device 14 and performs known natural language processing on the text indicated in the user input. If, as a result of analyzing the context of the text, the processor 28 determines that the user input relates to a problem concerning the subject, it determines that the first trigger condition is met. In the following explanation, it is assumed that parent A made user input regarding a problem concerning user A.

[0090] In step S31, the processor 28 obtains the diagnostic results regarding user A's development stored in the storage 32. Then, the processor 28 proceeds to step S32.

[0091] In step S32, the processor 28 generates a third prompt based on the diagnostic results obtained in step S31, to output a response to the user input regarding the problem, taking into account the characteristics of user A's developmental disorder. Then, the processor 28 proceeds to step S33.

[0092] Here, the processor 28 adds at least an instruction to the third prompt to output multiple options, including the optimal solution that takes into account the characteristics of the subject's developmental disorder. As an example, the processor 28 generates the following third prompt. Note that, for the sake of explanation, the following third prompt only shows the characteristics of the developmental disorder included in the diagnostic result, but in reality, it includes the entire contents of the diagnostic result stored in storage 32.

[0093] "Third prompt" The following are the problems that parent A has entered regarding user A: →User A does not eat udon. Based on the developmental diagnosis results for User A below, please output answers to the above-mentioned difficulties. Furthermore, please output multiple answer choices, including the optimal solution that takes into account the characteristics of User A's developmental disorder. Diagnosis results →Characteristics of developmental disorders: ASD / Intellectual disability ...

[0094] In step S33, the processor 28 inputs the third prompt generated in step S32 to the data generation model 58 and obtains the output result from the data generation model 58. Then, the processor 28 proceeds to step S34.

[0095] In step S34, the processor 28 outputs the output result of the data generation model 58 in step S33 to the parent A's smart device 14. On the smart device 14, the processor 46 uses the output device 40 to output the result of the third specific processing. As a result, the display 40A displays the answer to user A's problem. Then, the processor 28 terminates the third specific processing.

[0096] Next, we will explain an example of a display that appears on the display 40A of parent A's smart device 14 based on the execution of the third specific process.

[0097] Figure 10 is a fourth explanatory diagram showing an example of the display of display 40A. As an example, Figure 10 shows a chat screen 90 showing a message exchange between parent A and the AI ​​agent.

[0098] The chat screen 90 shown in Figure 10 displays the parent icon 91, the AI ​​icon 92, messages 93, 94, 95, and 96.

[0099] The parent icon 91 is the icon representing parent A in the chat screen 90. The AI ​​icon 92 is the icon that represents the AI ​​agent on the chat screen 90.

[0100] Message 93 is a text message received from parent A stating, "User A is not eating udon."

[0101] Message 94 shows the response output by the data generation model 58 to the problem described in message 93, i.e., the result of the third identification process. For example, the response shown in message 94 is: "Please try the following methods. Considering User A's characteristics, (3) seems effective. (1) Eat it in front of them. (2) Feed it to them. (3) Remove the ingredients. (4) Serve other food." In this way, message 94 shows multiple options, including the optimal solution that takes into account the characteristics of User A's developmental disability.

[0102] Message 95 is a text message received from parent A in response to message 94, stating, "(3) Thank you for eating it."

[0103] Message 96 shows the response output by the data generation model 58 to the message shown in message 95. For example, the response shown in message 96 is "That's great! Thank you for your feedback. Please feel free to contact us again anytime."

[0104] Here, the processor 28 may fine-tune the data generation model 58 using the message exchange between parent A and the AI ​​agent shown in messages 93, 94, and 95 as training data. In this case, the processor 28 may, for example, perform an internet search.<URL: https: / / www.brainpad.co.jp / doors / knowledge / 01_chatgpt_fine_tuning_internal_documents / > and internet search<URL: https: / / di-acc2.com / programming / python / 25924 / > The data generation model 58 is fine-tuned using publicly known methods disclosed in, etc.

[0105] Next, we will explain an example of the flow of the fourth specific process, referring to Figure 11. As an example, the fourth specific process is executed automatically and repeatedly at regular intervals after the execution of the first specific process.

[0106] In step S40 shown in Figure 11, the processor 28 determines whether the second trigger condition is met. If the processor 28 determines that the second trigger condition is met (step S40: YES), it proceeds to step S41. On the other hand, if the processor 28 determines that the second trigger condition is not met (step S40: NO), it terminates the fourth identification process. The processor 28 acquires user input received by the smart device 14 and performs known natural language processing on the text shown in the user input. If, as a result of analyzing the context of the text, the processor 28 determines that the second trigger condition is met, it identifies the user input as asking about a person or facility that is compatible with the subject. A person who is compatible with the subject is another user different from the subject registered in the above application. Facilities that are compatible with the subject include therapeutic facilities and medical institutions. In the following explanation, it is assumed that parent A made a user input asking about other users who are compatible with user A.

[0107] In step S41, the processor 28 obtains the diagnostic results regarding user A's development stored in the storage 32. Then, the processor 28 proceeds to step S42.

[0108] In step S42, the processor 28 generates a fourth prompt to output other users who are compatible with user A, as indicated by user input, based on the diagnostic results obtained in step S41. Then, the processor 28 proceeds to step S43.

[0109] As an example, processor 28 generates the following fourth prompt. Note that, for illustrative purposes, the following fourth prompt only shows the characteristics and degree of the developmental disorder included in the diagnostic results, but in reality, it includes the entire contents of the diagnostic results stored in storage 32.

[0110] "Fourth prompt" Based on the developmental assessment results for User A below, please output the top two other users who are most compatible with User A. Diagnosis results →Characteristics of developmental disorders: ASD / Intellectual disability →Degree of disability: B1 ... Please also include the following in the output: (1) Other users' profile pictures (2) A donut chart showing the compatibility (%) between User A and other users. (3) The names and genders of other users (4) The residential area (city, town, or village) of other users (5) Characteristics of other users' developmental disorders (6) Other users' generations (7) Other users' favorite things

[0111] In step S43, the processor 28 inputs the fourth prompt generated in step S42 to the data generation model 58 and obtains the output result from the data generation model 58. Then, the processor 28 proceeds to step S44.

[0112] In step S44, the processor 28 outputs the output result of the data generation model 58 in step S43 to the smart device 14 of parent A. On the smart device 14, the processor 46 outputs the result of the fourth specific processing using the output device 40. As a result, other users who are compatible with user A are displayed on the display 40A. Then, the processor 28 terminates the fourth specific processing.

[0113] Next, we will explain an example of a display that appears on the display 40A of parent A's smart device 14 based on the execution of the fourth specific process.

[0114] Figure 12 is a fifth explanatory diagram showing an example of the display of the display 40A. As an example, Figure 12 shows a user display screen 100 that shows other users who are compatible with user A.

[0115] The user display screen 100 shown in Figure 12 displays first user information 110, which is information about user B, the first other user who is compatible with user A, and second user information 120, which is information about user C, the second other user who is compatible with user A.

[0116] The first user information 110 consists of image information 111, graph information 112, and text information 113.

[0117] Image information 111 shows a photograph of User B's face, which was registered as User B's registration information in the above application. In Figure 12, the inside of image information 111 is shown as blank for illustrative purposes, but in reality, a photograph of User B's face is displayed.

[0118] Graph information 112 shows a donut chart illustrating the compatibility between user A and user B. According to this donut chart, it can be seen that the compatibility between user A and user B is 80%.

[0119] Text information 113 contains text introducing User B. This text includes User B's name, gender, place of residence, characteristics of developmental disability, age group, and hobbies, as specified in the fourth prompt. Specifically, text information 113 contains the text: "Name: User B (male) Region: City C Characteristics: ASD, intellectual disability Age group: older Hobbies: running."

[0120] The second user information 120 consists of image information 121, graph information 122, and text information 123.

[0121] Image information 121 shows a photograph of User C's face, which was registered in the above application as User C's registration information. In Figure 12, for illustrative purposes, the inside of image information 121 is left blank, but in reality, a photograph of User C's face is displayed.

[0122] Graph information 122 shows a donut chart illustrating the compatibility between user A and user C. According to this donut chart, the compatibility between user A and user C is 72%.

[0123] Text information 123 contains text introducing User C. This text includes User C's name, gender, place of residence, characteristics of developmental disability, age group, and hobbies, as specified in the fourth prompt. Specifically, text information 123 contains the text: "Name: User C (female) Place: City D Characteristics: ASD / LD Age: 1st grade hobbies: drawing".

[0124] Here, the above application is equipped with a messaging function that allows users to exchange messages with each other. For example, parent A, who sees the user display screen 100 shown in Figure 12, can build relationships with other parents by sending a message to the parent of user B or user C, who is compatible with user A.

[0125] As explained above, in the data processing device 12, the processor 28 acquires various information, including subject information that shows the subject's daily life. The processor 28 also inputs a first prompt to the data generation model 58 for outputting a diagnostic result regarding the subject's development, which is shown in the acquired information. The processor 28 then outputs the diagnostic result regarding the subject's development, which is the output result of the data generation model 58, to the smart device 14. As a result, the data processing device 12 makes it easier to obtain a diagnostic result regarding the subject's development compared to going to a medical institution or child guidance center for consultation. The diagnostic result includes, for example, the characteristics of the subject's developmental disorder, the degree of the disorder, developmental findings, developmental age corresponding to the actual age, future developmental age based on current development, and recommended career paths for the subject.

[0126] Furthermore, in the data processing device 12, the processor 28 inputs a second prompt to the data generation model 58 to output information about the subject's daily life that should be added by the next information update, based on the acquired diagnostic results regarding the subject's development. The processor 28 then outputs the information about the subject's daily life that should be added, which is the output result of the data generation model 58, to the smart device 14 when the period until the next information update is within a predetermined number of days. As a result, the data processing device 12 prevents situations where information about the subject's daily life that is necessary for the next information update is forgotten.

[0127] Furthermore, in the data processing device 12, the processor 28 acquires user input regarding the subject's difficulties. The processor 28 also inputs a third prompt to the data generation model 58 to output an answer that takes into account the characteristics of the subject's developmental disability, based on the difficulties indicated in the acquired user input. The processor 28 then outputs the answer to the subject's difficulties, which is the output result of the data generation model 58, to the smart device 14. As a result, with the data processing device 12, advice regarding the subject's difficulties can be obtained more easily than by going to a medical institution or child guidance center for consultation.

[0128] Furthermore, in the data processing device 12, the processor 28 acquires user input asking about people or facilities that are a good match for the subject. The processor 28 also inputs a fourth prompt to the data generation model 58 to output the people or facilities that are a good match for the subject, based on the acquired user input, taking into account the diagnostic results regarding the subject's development. The processor 28 then outputs the people or facilities that are a good match for the subject, which are the output results of the data generation model 58, to the smart device 14. As a result, the data processing device 12 can support the building of relationships for the subject's guardians and reduce the effort required of guardians to find a suitable facility for the subject.

[0129] (others) Although the data processing system 10 has been described primarily in terms of the functions of the data processing device 12, the data processing system 10 is not necessarily implemented on a server. The data processing system 10 may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer, or as an application that runs on a smartphone, etc. The method relating to this disclosure may be provided to users in the form of SaaS (Software as a Service).

[0130] In the above embodiment, the smart device 14 was described as an example of a "predetermined output target" relating to the technology of this disclosure, but the invention is not limited thereto. For example, an electronic document in which an individual support plan has been digitized may be used as an example of a "predetermined output target" relating to the technology of this disclosure. In this case, the diagnostic results regarding the subject's development, which are the result of the first specific processing, are output to the electronic document.

[0131] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0132] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0133] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0134] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0135] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0136] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0137] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0138] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0139] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0140] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. [Explanation of symbols]

[0141] 10 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 290 Specific Processing Unit 292 Input section 294 Processing Unit 296 Output section< / url:>

Claims

1. Equipped with a processor, The aforementioned processor, We obtain subject information that shows the daily lives of the subjects. A first prompt, which is a prompt for outputting the characteristics and degree of the developmental disability of the subject as shown in the acquired subject information, is input to a generative model that generates information according to the input data. The characteristics and degree of the developmental disability of the subject, which are the output results of the generation model, are output to a predetermined output target. Data processing device.

2. The aforementioned processor, An instruction to output the findings regarding the development of the subject, as shown in the acquired subject information, is added to the first prompt. The characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, and the findings regarding the subject's development are output to the predetermined output target. The data processing device according to claim 1.

3. The aforementioned processor, The user inputs regarding the aforementioned subjects' elementary school, junior high school, high school, and at least one career counseling session after high school graduation are obtained. An instruction to output the answer to the career guidance question indicated in the acquired user input is added to the first prompt. The output of the generation model, which includes the characteristics and degree of the subject's developmental disorder, observations regarding the subject's development, and responses to the career guidance consultation, is output to the predetermined output target. The data processing apparatus according to claim 2.

4. The aforementioned processor, We obtain age information indicating the actual age of the aforementioned subject, An instruction to output the developmental age of the subject corresponding to the actual age shown in the acquired actual age information is added to the first prompt. The characteristics and degree of the subject's developmental disability, which are the output results of the generation model, and the developmental age corresponding to the subject's actual age, are output to the predetermined output target. The data processing device according to claim 1.

5. The aforementioned processor, Obtain future age information indicating the future age of the aforementioned subject, An instruction to output the developmental age of the subject corresponding to the future age shown in the acquired future age information is added to the first prompt. The characteristics and degree of the subject's developmental disorder, which are the output results of the generation model, the developmental age corresponding to the subject's actual age, and the developmental age corresponding to the subject's future age are output to the predetermined output target. The data processing device according to claim 4.

6. The aforementioned processor, We obtain age information indicating the actual age of the aforementioned subject, A second prompt, which is a prompt for outputting details of the subject's daily life that should be added by the next information update, is input to the generation model, based on the actual age shown in the acquired actual age information and the characteristics and degree of the subject's developmental disability output to the predetermined output target. The daily details of the subject to be added, which are the output result of the generation model, are output to the predetermined output target when the period until the next information update falls within a predetermined number of days. The data processing device according to claim 1.

7. The aforementioned processor, We obtain user input regarding the problems of the aforementioned target person, A third prompt, which is a prompt for outputting an answer that takes into account the characteristics of the subject's developmental disability regarding the problems indicated in the acquired user input, is input to the generation model. The output of the generation model, which is the answer to the problem of the subject, is output to the predetermined output target. The data processing device according to claim 1.

8. The aforementioned processor, The system obtains user input asking about individuals or facilities that are a good match for the aforementioned target person. Based on the characteristics and degree of the subject's developmental disability, a fourth prompt, which is a prompt for outputting a person or facility that is a good match for the subject as shown in the acquired user input, is input to the generation model. The output of the generation model, which is a person or facility that is compatible with the subject, is output to the predetermined output target. The data processing device according to claim 1.

9. We obtain subject information that shows the daily lives of the subjects. A first prompt, which is a prompt for outputting the characteristics and degree of the developmental disability of the subject as shown in the acquired subject information, is input to a generative model that generates information according to the input data. The characteristics and degree of the developmental disability of the subject, which are the output results of the generation model, are output to a predetermined output target. A data processing method in which a computer performs the processing.

10. We obtain subject information that shows the daily lives of the subjects. A first prompt, which is a prompt for outputting the characteristics and degree of the developmental disability of the subject as shown in the acquired subject information, is input to a generative model that generates information according to the input data. The characteristics and degree of the developmental disability of the subject, which are the output results of the generation model, are output to a predetermined output target. A data processing program that instructs a computer to perform a task.

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