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

Abstract

The present disclosure aims to improve the content output from generative models. [Solution] The data processing device is equipped with a processor, which acquires subject information showing the subject's daily life, inputs a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject shown in the acquired subject information, into a generative model that generates information according to the input data, and outputs the output results of the generative model, which are the characteristics and degree of developmental disorder of the subject, to a specified 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 technology]

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the prior art, there is still room for improvement in the content output from a generative model such as the above-mentioned language model. [Means for solving the problem]

[0005] A first aspect of the data processing device includes a processor, which acquires subject information indicating the subject's daily life, inputs a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information, into a generative model that generates information according to input data, and outputs the output results of the generative model, which are the characteristics and degree of developmental disorder of the subject, to a predetermined output target.

[0006] In a first aspect of the data processing device, a processor acquires subject information indicating the subject's daily life. The processor also inputs a first prompt to a generative model for outputting the characteristics and severity of the subject's developmental disorder indicated in the acquired subject information. The processor then outputs the characteristics and severity of the subject's developmental disorder, which are the output results of the generative model, to a predetermined output target. This makes it possible to more easily grasp the characteristics and severity of the subject's developmental disorder than by visiting a consultation center such as a medical institution or child consultation center.

[0007] In the data processing device of the second aspect, in the first aspect, the processor adds to the first prompt an instruction to output findings regarding the subject's development indicated in the acquired subject information, and outputs to the specified output target the output results of the generative model, which are the characteristics and degree of the developmental disorder of the subject and the findings regarding the subject's development.

[0008] In the data processing device of the second aspect, the processor adds to the first prompt an instruction to output findings on the subject's development indicated in the acquired subject information. The processor then outputs the output results of the generative model, which are the characteristics and severity of the subject's developmental disorder, and the findings on the subject's development, to a predetermined output target. This makes it possible to easily understand findings on the subject's development compared to visiting a consultation center such as a medical institution or child consultation center.

[0009] In the data processing device of the third aspect, in the second aspect, the processor acquires user input regarding at least one of the subject's career counseling sessions in elementary school, junior high school, high school, and after graduating from high school, adds instructions to the first prompt for outputting an answer to the career counseling session indicated in the acquired user input, and outputs the output results of the generative model, which are the characteristics and degree of the subject's developmental disorder, findings regarding the subject's development, and the answer to the career counseling session, to the specified output target.

[0010] In a third aspect of the data processing device, the processor acquires user input regarding at least one of the subject's elementary school, junior high school, high school, and post-high school career counseling sessions. The processor also adds to the first prompt an instruction to output a response to the career counseling session indicated in the acquired user input. The processor then outputs the output results of the generative model, including the characteristics and severity of the subject's developmental disorder, findings regarding the subject's development, and the response to the career counseling session, to a predetermined output target. This makes it possible for the data processing device to more easily identify a recommended career path for the subject than if the subject were to visit a consultation center such as a medical institution or child consultation center.

[0011] In a fourth aspect of the data processing device, in any one of the first to third aspects, the processor acquires actual age information indicating the actual age of the subject, adds instructions to the first prompt for outputting the developmental age of the subject corresponding to the actual age indicated in the acquired actual age information, and outputs the output results of the generative model, which are the characteristics and degree of the developmental disorder of the subject, and the developmental age corresponding to the actual age of the subject, to the specified output target.

[0012] In a data processing device of a fourth aspect, a processor acquires actual age information indicating the actual age of a subject. The processor also adds to the first prompt an instruction to output the developmental age of the subject corresponding to the actual age indicated in the acquired actual age information. The processor then outputs to a predetermined output target the characteristics and severity of the subject's developmental disorder, which are the output results of the generative model, and the developmental age corresponding to the subject's actual age. This makes it possible to more easily determine the developmental age corresponding to the subject's actual age than if the subject were to go to a consultation center such as a medical institution or child consultation center.

[0013] In the data processing device of the fifth aspect, in the fourth aspect, the processor acquires future age information indicating the future age of the subject, adds instructions to the first prompt for outputting the developmental age of the subject corresponding to the future age indicated in the acquired future age information, and outputs to the specified output target the output results of the generative model, which are the characteristics and degree of the developmental disorder of the subject, the developmental age corresponding to the subject's actual age, and the developmental age corresponding to the subject's future age.

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

[0015] A data processing device of a sixth aspect is any one of the first to fifth aspects, in which the processor acquires actual age information indicating the actual age of the subject, inputs a second prompt into the generative model, which is a prompt for outputting daily life details of the subject that should be added by the time of the next information update, based on the actual age indicated in the acquired actual age information and the characteristics and degree of the developmental disorder of the subject that have been output to the specified output target, and outputs the daily life details of the subject that should be added, which are the output result of the generative model, to the specified output target when the period until the next information update is within a specified number of days.

[0016] In a data processing device of a sixth aspect, the processor acquires actual age information indicating the actual age of the subject. The processor also inputs a second prompt to the generative model to output daily life information of the subject that should be added by the time of the next information update, based on the actual age indicated in the acquired actual age information and the characteristics and severity of the developmental disorder of the subject output to a predetermined output target. The processor then outputs the daily life information of the subject that should be added, which is the output result of the generative model, to the predetermined output target when the time until the next information update is within a predetermined number of days. This prevents the data processing device from forgetting to prepare information indicating the daily life of the subject that is necessary by the time of the next information update.

[0017] A seventh aspect of the data processing device is any one of the first to sixth aspects, in which the processor acquires user input regarding a problem for the subject, inputs a third prompt into the generative model, which is a prompt for outputting an answer to the problem indicated in the acquired user input that takes into account the characteristics of the subject's developmental disorder, and outputs the answer to the problem for the subject, which is the output result of the generative model, to the specified output target.

[0018] In a seventh aspect of the data processing device, the processor acquires user input regarding a problem faced by the subject. The processor also inputs a third prompt into the generative model for outputting an answer to the problem indicated in the acquired user input, taking into account the characteristics of the subject's developmental disorder. The processor then outputs the answer to the problem faced by the subject, which is the output result of the generative model, to a predetermined output target. This allows the data processing device to more easily obtain advice regarding the problem faced by the subject, compared to visiting a consultation center such as a medical institution or child consultation center.

[0019] In the data processing device of the eighth aspect, in any one of the first to seventh aspects, the processor acquires user input asking about people or facilities that would be compatible with the subject, inputs a fourth prompt into the generative model, which is a prompt for outputting people or facilities that would be compatible with the subject indicated in the acquired user input, taking into account the characteristics and degree of the developmental disorder of the subject, and outputs the output result of the generative model, that is, people or facilities that would be compatible with the subject, to the specified output target.

[0020] In an eighth aspect of the data processing device, the processor acquires a user input inquiring about people or facilities that would be compatible with the subject. The processor also inputs a fourth prompt into the generative model to output people or facilities that would be compatible with the subject indicated in the acquired user input, taking into account the characteristics and severity of the subject's developmental disorder. The processor then outputs the people or facilities that are compatible with the subject, which are the output results of the generative model, to a predetermined output target. This data processing device can thereby support the parent of the subject in building relationships and reduce the parent's effort in finding a facility that is suitable for the subject.

[0021] In a ninth aspect of the data processing method, a computer executes a process of acquiring subject information indicating the daily life of a subject, inputting a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information, into a generative model that generates information according to the input data, and outputting the output results of the generative model, which are the characteristics and degree of developmental disorder of the subject, to a specified output target.

[0022] In a ninth aspect of the data processing method, a computer executes a process of acquiring subject information indicating the subject's daily life. The computer also executes a process of inputting a first prompt to a generative model to output the characteristics and severity of the subject's developmental disorder indicated in the acquired subject information. The computer also executes a process of outputting the characteristics and severity of the subject's developmental disorder, which are the output results of the generative model, to a predetermined output target. This data processing method makes it possible to more easily understand the characteristics and severity of the subject's developmental disorder than by visiting a consultation center such as a medical institution or child consultation center.

[0023] The data processing program of the 10th aspect causes a computer to execute the following process: acquire subject information indicating the daily life of a subject; input a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information, into a generative model that generates information according to the input data; and output the output results of the generative model, which are the characteristics and degree of developmental disorder of the subject, to a specified output target.

[0024] A data processing program according to a tenth aspect causes a computer to execute a process of acquiring subject information indicating the daily life of a subject. The data processing program also causes the computer to execute a process of inputting a first prompt into a generative model to output the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information. The data processing program also causes the computer to execute a process of outputting the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, to a predetermined output target. This makes it possible to more easily grasp the characteristics and degree of developmental disorder of a subject compared to visiting a consultation facility such as a medical institution or child consultation center. [Brief explanation of the drawings]

[0025] [Figure 1]FIG. 1 is a conceptual diagram illustrating an example of a configuration of a data processing system. [Figure 2] FIG. 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device. [Figure 3] 2 shows a schematic functional configuration of a specific processing unit of the data processing device. [Figure 4] 10 is a diagram illustrating an example of an operational flow of a first identification process performed by the data processing device. [Figure 5] FIG. 10 is a first explanatory diagram showing a display example of a display. [Figure 6] FIG. 2 is a second explanatory diagram showing a display example of the display. [Figure 7] 10 shows an example of an operational flow of a second identification process by the data processing device. [Figure 8] FIG. 10 is a third explanatory diagram showing a display example of the display. [Figure 9] 10 shows an example of an operational flow of a third identification process by the data processing device. [Figure 10] FIG. 4 is a fourth explanatory diagram showing a display example of the display. [Figure 11] 10 shows an example of an operational flow of a fourth identification process by the data processing device. [Figure 12] FIG. 5 is a fifth explanatory diagram showing a display example of the display. DETAILED DESCRIPTION OF THE INVENTION

[0026] Hereinafter, exemplary embodiments of a data processing device, a data processing method, and a data processing program according to the techniques 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, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices 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, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

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

[0031] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0032] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

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

[0034] As shown in FIG. 1, a 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 the present disclosure, and the smart device 14 is an example of a "predetermined output target" according to the technology of the present disclosure.

[0035] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a wide area network (WAN) and / or a local area network (LAN). The computer 22 is an example of a "computer" according to the technology of the present disclosure, and the processor 28 is an example of a "processor" according to the technology of the present disclosure.

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

[0037] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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 the data in a form of expression that the person can perceive (for example, 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 compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0039] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0041] As shown in FIG. 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "data processing program" according to the technology of the present disclosure. The "data processing program" according to the technology of the present 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 process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0042] The storage 32 stores a data generation model 58. The data generation model 58 is used by the specification processing unit 290. The data generation model 58 is an example of a "generative model" according to the technology of the present disclosure.

[0043] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0045] As shown in FIG. 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 a user input accepted by the smart device 14. Specifically, the input unit 292 acquires at least one of the following data: text, audio, image, and video of the user accepted 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, i.e., 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] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generative AI models. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, image data indicating an image, and video data indicating a video is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data, text data, graph data, table 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 described. First, an example of the flow of the first identification process among the identification processes will be described with reference to FIG. 4. As an example, the first identification process is performed when the data processing device 12 acquires a user input specifying a target person in a predetermined application received by the smart device 14. As an example, the target person is a person including a child or adult suspected of having a developmental disorder. However, the target person is not limited to this, and may also be the person diagnosed by a doctor or the like as having a developmental disorder. Here, the flow of the first identification process shown in FIG. 4 is an example of a "data processing method" according to the technology of the present disclosure.

[0051] 4, processor 28 acquires various information. Then, processor 28 proceeds to step S11. Here, the various information includes at least registration information indicating the name, sex, etc. of the subject, and subject information indicating the subject's daily life.

[0052] The registration information is information about the subject that has been registered in advance in the application by the subject's guardian (e.g., parent). As an example, the registration information includes the subject's face photo, name, gender, date of birth, address, and favorite things. The registration information registered by the guardian is linked to the subject and stored in storage 32. Then, in step S10, processor 28 can obtain, as various information, registration information corresponding to the subject specified in the user input from storage 32. The subject's date of birth included in the registration information is an example of "actual age information indicating the subject's actual age" according to the technology of the present disclosure.

[0053] The subject information includes, for example, image data or video data showing the subject's daily activities, such as hand games, exercise, reading and writing, conversation, eating, behavior in response to tasks assigned to the subject, and tantrums, as well as image data showing evaluations of tasks assigned to the subject and the subject's behavior at a rehabilitation facility. In this embodiment, the subject information is a portion of the image data and video data stored in the storage 50 of the smart device 14 owned by the guardian. For example, the subject information may be image data and video data that depict the subject's age (e.g., within the past year) close to the actual age calculated from the registration information, extracted by the processor 46 through known image processing of the image data and video data stored in the storage 50. Alternatively, the subject information may be image data and video data selected by the guardian from the image data 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, when a predetermined user input is made by the 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 provide career counseling to the subject and to ask questions about the subject's future developmental age as the predetermined user input. When the processor 46 receives career counseling for the subject as the predetermined user input, the processor 46 transmits consultation information about the career counseling to the data processing device 12. When the processor 46 receives a question about the subject's future developmental age as the predetermined user input, the processor 28 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, processor 28 generates a first prompt for outputting a diagnosis result regarding the subject's development based on the various information acquired in step S10. Processor 28 then proceeds to step S12.

[0056] Here, processor 28 adds at least an instruction to include in the diagnostic result the subject's facial photograph, name, sex, date of birth, characteristics of the developmental disorder, the degree of the disorder, findings related to development, and a developmental age corresponding to the subject's chronological age, to the first prompt. Then, when the guardian performs the predetermined user input, processor 28 adds to the first prompt an instruction to include in the diagnostic result at least one of the subject's answer to the career counseling question and the developmental age corresponding to the subject's future age.

[0057] For example, if the various information acquired in step S10 includes registration information, target person information, future age information, and consultation information, processor 28 generates the following first prompt, as an example.

[0058] First prompt Please print out the diagnostic results for the subject's development as indicated in the registration information and subject information below. 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... The diagnostic results should include the following: (1) A photograph of the subject's face (2) Name of the person (3) Gender of the subject (4) Date of birth of the subject (5) Characteristics of the subject's developmental disorder (6) The degree of disability of the subject (7) Findings regarding the subject's development (8) Developmental age according to the subject's actual age (9) Developmental age according to the subject's future age (10) Answering questions about career counseling for the target person → (8) Please output two types of data: a radar chart showing the developmental age for each of the six areas (speech, interpersonal relationships, locomotion, hand movements, basic habits, and language comprehension) and the score for each developmental age, as well as an overall developmental age based on the developmental ages for the six areas. →For (9), the future age should be "20 years and 0 months" as shown in the obtained future age information. → Please output the answer to (10) based on the content of the consultation, "What should I do about my child's future in elementary school?", which is shown in the consultation information you obtained.

[0059] In step S12, processor 28 inputs the first prompt generated in step S11 to data generation model 58 and obtains an output result from data generation model 58. Processor 28 then 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 (hereinafter referred to as "guardian A") of the subject user A. In the smart device 14, the processor 46 causes the output device 40 to output the result of the first identification process. As a result, the display 40A displays the diagnosis result regarding the development of user A. In addition, the diagnosis result is associated with user A and stored in the storage 32. Then, the processor 28 ends the first identification process.

[0061] Next, a display example that is displayed on the display 40A of the smart device 14 of the guardian A based on the execution of the first identification process will be described.

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

[0063] The result display screen 70 shown in FIG. 5 includes a registration information display section 71, a result display section 72, a result display section 73, a result display section 74, a result display section 75, a message display section 76, and a message display section 77.

[0064] The registration information display unit 71 is a portion that displays the registration information of user A, 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 FIG. 5, for convenience of explanation, the inside of the first display unit 71A is left blank, but in reality, a facial photograph of user A shown in the image data (e.g., facial photograph.jpeg) included in the first prompt is displayed. In addition, the second display unit 71B displays "Name: User A Gender: Male Date of Birth: 2020 / 12 / 17," indicating the contents of the registration information included in the first prompt.

[0065] The result display section 72 is a section that displays the developmental age according to the actual age of user A. The developmental age is an index that indicates how developed user A is currently according to his actual age. The result display section 72 displays "Actual age: 4 years 0 months -> Developmental age: 2 years 1 month," indicating that the developmental age according to user A's actual age is 2 years 1 month.

[0066] The result display section 73 is a section that displays the developmental age according to the future age (e.g., 20 years and 0 months) specified in the first prompt of user A. The developmental age is an index that indicates the age at which user A will develop in the future according to the future age specified in the first prompt. The result display section 73 displays "future age: 20 years and 0 months → developmental age: 10 years and 0 months," indicating that the developmental age of user A when he or she turns 20 years and 0 months will be 10 years and 0 months.

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

[0068] The result display section 75 is a section that displays the degree of disability of user A. The result display section 75 displays "Level of disability: B1," indicating that user A's rehabilitation handbook is graded "B1" and that he has a moderate intellectual disability. Note that the disability levels that can be displayed on the result display section 75 include well-known levels such as B1, "A1" indicating severe intellectual disability, "A2" indicating moderate intellectual disability combined with a physical disability of grade 3 or higher, and "B2" indicating mild intellectual disability.

[0069] The message display section 76 is a section that displays findings regarding the development of user A as a message to guardian A. The message display section 76 displays "The current intellectual ability is thought to be about that of a two-year-old...", presenting findings regarding user A's development as if they were being given by a doctor.

[0070] The message display section 77 is a section that displays, as a message to parent / guardian A, an answer to the career counseling specified in the first prompt of user A. The message display section 77 displays "Under the current circumstances, we suggest that you select a special needs school for your elementary school career path," indicating a suggestion regarding user A's elementary school career path. Note that the answers to career counseling that can be displayed in the message display section 77 are not limited to those regarding elementary school career paths, but also include answers regarding at least one of the elementary school, junior high school, high school, and career counseling after graduating from high school specified in the first prompt.

[0071] 6 is a second explanatory diagram showing a display example of the display 40A. As an example, FIG. 6 shows a result display screen 70 in which the display content is switched by an operation on the smart device 14 by the guardian A.

[0072] The result display screen 70 shown in Fig. 6 is provided with a registration information display section 71 and a chart display section 78. The display contents of the registration information display section 71 are the same as those in Fig. 5, and therefore description thereof will be omitted.

[0073] The chart display unit 78 is a part that displays a radar chart showing the developmental age for each of the multiple items specified in the first prompt by user A and the score corresponding to each developmental age. The radar chart shown in Fig. 6 shows the developmental age for each of six items, namely, speech, interpersonal relationships, locomotion, hand movements, basic habits, and language comprehension, and the score corresponding to each developmental age. For example, according to the radar chart, it can be seen that 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 points out of 100 points.

[0074] Next, an example of the flow of the second identification process among the identification processes will be described with reference to Fig. 7. As an example, the second identification process is started at a predetermined timing after the first identification process is executed.

[0075] 7, processor 28 acquires a diagnostic result regarding the development of the subject stored in storage 32. In the following, a description will be given assuming that processor 28 acquires a diagnostic result corresponding to user A as the subject from storage 32. Then, processor 28 proceeds to step S21.

[0076] In step S21, processor 28 generates a second prompt for outputting the daily behavior of user A that should be added by the time of the next information update, based on the diagnosis result acquired in step S20. The daily behavior of user A that should be added is, for example, the behavior of user A in a particular situation or environment. Then, processor 28 proceeds to step S22.

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

[0078] As an example, processor 28 generates the following second prompt: Note that, for convenience of explanation, the following second prompt only shows the date of birth, characteristics of the developmental disorder, and the degree of the disorder included in the diagnostic result, but in reality, all of the contents of the diagnostic result stored in storage 32 are included.

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

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

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

[0082] In step S24, processor 28 outputs the output result of data generation model 58 in step S22 to guardian A's smart device 14. In the smart device 14, processor 46 causes output device 40 to output the result of the second identification process. As a result, display 40A displays the daily life of user A that should be added by the time of the next information update. Then, processor 28 ends the second identification process.

[0083] Next, a display example that is displayed on the display 40A of the smart device 14 of the guardian A based on the execution of the second identification process will be described.

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

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

[0086] The message display section 81 is a section that displays the daily life of user A to be added as a message to guardian A. As an example, the message display section 81 displays "The next information update for user A is on 20XX / X / X. We apologize for the inconvenience, but please prepare images, videos, text, etc. showing the following daily life of user A by 20XX / X / X. 1. 2. 3. ," showing the daily life of user A that guardian A should prepare.

[0087] OK button 82 is a button for changing the display content of display 40A to a predetermined home screen (not shown). When OK button 82 is operated, processor 46 changes the display content of display 40A from notification screen 80 to the home screen.

[0088] Next, an example of the flow of the third identification process among the identification processes will be described with reference to Fig. 9. As an example, the third identification process is automatically and repeatedly executed every time a certain period of time elapses after the first identification process is executed.

[0089] In step S30 shown in FIG. 9, processor 28 determines whether the first trigger condition is satisfied. Here, if processor 28 determines that the first trigger condition is satisfied (step S30: YES), the process proceeds to step S31. On the other hand, if processor 28 determines that the first trigger condition is not satisfied (step S30: NO), the process ends the third identification process. Processor 28 acquires the user input accepted by smart device 14 and performs known natural language processing on the text indicated in the user input. If processor 28 analyzes the context of the text and identifies that the user input is related to a problem with the target person, it determines that the first trigger condition is satisfied. In the following description, it is assumed that guardian A has made a user input related to a problem with user A.

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

[0091] In step S32, processor 28 generates a third prompt for outputting an answer to the problem indicated in the user input based on the diagnosis result acquired in step S31, taking into account the characteristics of the developmental disorder of user A. Then, processor 28 proceeds to step S33.

[0092] Here, processor 28 adds at least an instruction sentence to the third prompt for outputting a plurality of options including an optimal solution that takes into account the characteristics of the subject's developmental disorder. As an example, processor 28 generates the following third prompt. Note that, for the sake of convenience, the following third prompt only shows the characteristics of the developmental disorder included in the diagnostic result, but in reality, the entire content of the diagnostic result stored in storage 32 is included.

[0093] "Third prompt" The issues Parent A has with User A are as follows: →User A does not eat udon Based on the following diagnostic results about User A's development, please output answers to the above problems. Also, please output multiple options for the answer, including the optimal solution based on the characteristics of User A's developmental disorder. Diagnosis results →Characteristics of developmental disorders: ASD / intellectual disability ...

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

[0095] In step S34, processor 28 outputs the output result of data generation model 58 in step S33 to guardian A's smart device 14. In the smart device 14, processor 46 causes output device 40 to output the result of the third identification process. As a result, an answer to user A's problem is displayed on display 40A. Then, processor 28 ends the third identification process.

[0096] Next, a display example that is displayed on the display 40A of the smart device 14 of the guardian A based on the execution of the third identification process will be described.

[0097] Fig. 10 is a fourth explanatory diagram showing a display example of the display 40A. As an example, Fig. 10 shows a talk screen 90 showing an exchange of messages between guardian A and an AI agent.

[0098] A talk screen 90 shown in FIG. 10 displays a guardian icon 91, an AI icon 92, a message 93, a message 94, a message 95, and a message 96.

[0099] The guardian side icon 91 is an icon that indicates guardian A on the talk screen 90. The AI ​​side icon 92 is an icon that indicates an AI agent on the talk screen 90.

[0100] A message 93 indicates a message "User A does not eat udon" that has been received as text input by parent A.

[0101] Message 94 shows the answer output by data generation model 58 to the problem shown in message 93, i.e., the result of the third identification process. As an example, the answer shown in message 94 is "Please try the following methods. Considering the characteristics of user A, (3) seems to be effective. (1) Demonstrate eating in front of user A. (2) Feed the child. (3) Remove the toppings. (4) Offer other food." In this way, message 94 shows multiple options, including an optimal solution that takes into account the characteristics of user A's developmental disorder.

[0102] Message 95 shows a message "Thank you for eating at (3)" that was received as a text input by parent A in response to message 94.

[0103] Message 96 indicates the response output by data generation model 58 in response to the message indicated in message 95. As an example, the response indicated in message 96 is "That was great. Thank you for your feedback. Please feel free to contact us again anytime."

[0104] Here, processor 28 may fine-tune data generation model 58 using message exchanges between guardian A and the AI ​​agent shown in messages 93, 94, and 95 as learning data. In this case, processor 28 may fine-tune data generation model 58 using, for example, an internet search.<URL: https: / / www.brainpad.co.jp / doors / knowledge / 01_chatgpt_fine_tuning_internal_documents / > and internet searches<URL: https: / / di-acc2.com / programming / python / 25924 / > The data generation model 58 is fine-tuned by appropriately using known techniques such as those disclosed in the above.

[0105] Next, an example of the flow of the fourth identification process among the identification processes will be described with reference to Fig. 11. As an example, the fourth identification process is automatically and repeatedly executed every time a certain period of time elapses after the first identification process is executed.

[0106] In step S40 shown in FIG. 11, the processor 28 determines whether the second trigger condition is satisfied. Here, if the processor 28 determines that the second trigger condition is satisfied (step S40: YES), the processor 28 proceeds to step S41. On the other hand, if the processor 28 determines that the second trigger condition is not satisfied (step S40: NO), the processor 28 ends the fourth identification process. The processor 28 acquires the user input accepted by the smart device 14 and performs known natural language processing on the text indicated in the user input. If the processor 28 analyzes the context of the text and identifies that the user input is inquiring about a person or facility that is compatible with the target person, the processor 28 determines that the second trigger condition is satisfied. The person that is compatible with the target person is another user other than the target person registered in the application. Furthermore, the facility that is compatible with the target person includes a rehabilitation facility and a medical institution. In the following description, it is assumed that guardian A has made a user input inquiring about other users that are compatible with user A.

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

[0108] In step S42, processor 28 generates a fourth prompt for outputting other users who have a good compatibility with user A indicated in the user input, based on the diagnosis result acquired in step S41. Then, processor 28 proceeds to step S43.

[0109] As an example, processor 28 generates the following fourth prompt: Note that, for convenience of explanation, the following fourth prompt only indicates the characteristics and severity of the developmental disorder included in the diagnostic result, but in reality, all of the diagnostic result stored in storage 32 is included.

[0110] "Fourth prompt" Based on the following diagnostic results about User A's development, please output the top two other users who are compatible with User A. Diagnosis results →Characteristics of developmental disorders: ASD / intellectual disability →Level of disability: B1 ... The output should also include the following: (1) Other users' photos (2) A donut graph showing the compatibility (%) between user A and other users. (3) Name and gender of other users (4) Other users' residential areas (cities, wards, towns, and villages) (5) Characteristics of other users' developmental disorders (6) Generation of other users (7) What other users like

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

[0112] In step S44, processor 28 outputs the output result of data generation model 58 in step S43 to guardian A's smart device 14. In the smart device 14, processor 46 causes output device 40 to output the result of the fourth identification process. As a result, other users who have good compatibility with user A are displayed on display 40A. Then, processor 28 ends the fourth identification process.

[0113] Next, a display example that is displayed on the display 40A of the smart device 14 of the guardian A based on the execution of the fourth identification process will be described.

[0114] 12 is a fifth explanatory diagram showing a display example of the display 40A. As an example, FIG. 12 shows a user display screen 100 showing other users who have good compatibility with user A.

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

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

[0117] Image information 111 shows a facial photograph of user B that is registered in the application as registration information for user B. In Fig. 12, for convenience of explanation, the inside of image information 111 is left blank, but in reality, a facial photograph of user B is displayed.

[0118] The graph information 112 shows a doughnut graph indicating the compatibility between user A and user B. According to the doughnut graph, it can be seen that the compatibility between user A and user B is 80%.

[0119] The text information 113 shows text introducing user B. The text includes the name, gender, residential area, characteristics of developmental disabilities, generation, and favorite things of user B specified in the fourth prompt. Specifically, the text information 113 shows the text "Name: User B (male) Region: City C Characteristics: ASD, intellectual disability Generation: older children Favorite things: running."

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

[0121] Image information 121 shows a facial photograph of user C that is registered in the application as registration information for user C. In Fig. 12, for convenience of explanation, the inside of image information 121 is left blank, but in reality, a facial photograph of user C is displayed.

[0122] The graph information 122 shows a doughnut graph indicating the compatibility between user A and user C. According to the doughnut graph, it can be seen that the compatibility between user A and user C is 72%.

[0123] The text information 123 shows text introducing user C. The text includes the name, gender, residential area, characteristics of developmental disorders, generation, and favorite things of user C specified in the fourth prompt. Specifically, the text information 123 shows the text "Name: User C (female) Region: City D Characteristics: ASD / LD Generation: First grade of elementary school Favorite thing: Drawing."

[0124] The application has a message function that allows users to exchange messages with each other. For example, parent A, viewing the user display screen 100 shown in Fig. 12, can build a relationship between the parents by sending a message to the parent of user B or user C, who has a good relationship with user A.

[0125] As described above, in the data processing device 12, the processor 28 acquires various information including subject information indicating the subject's daily activities. The processor 28 also inputs a first prompt to the data generation model 58 to output a diagnostic result regarding the subject's development indicated in the acquired various 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. This allows the data processing device 12 to more easily obtain a diagnostic result regarding the subject's development than if the subject were to visit a medical institution, child consultation center, or other such consultation service. The diagnostic result may include, for example, the characteristics of the subject's developmental disorder, the severity of the disorder, developmental findings, a developmental age according to the subject's chronological age, a future developmental age based on the subject's current development, and a recommended career path for the subject.

[0126] Furthermore, in the data processing device 12, the processor 28 inputs a second prompt to the data generation model 58, in accordance with the acquired diagnosis result of the subject's development, for outputting the subject's daily behavior to be added by the time of the next information update. Then, the processor 28 outputs the subject's daily behavior to 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 falls within a predetermined number of days. This prevents the data processing device 12 from forgetting to prepare information indicating the subject's daily behavior that is necessary by the time of the next information update.

[0127] Furthermore, in the data processing device 12, the processor 28 acquires a user input regarding a problem of the subject. The processor 28 also inputs a third prompt to the data generation model 58 for outputting an answer to the problem indicated in the acquired user input, taking into account the characteristics of the subject's developmental disorder. The processor 28 then outputs the answer to the problem of the subject, 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 possible to easily obtain advice regarding the problem of the subject, compared to visiting a consultation facility such as a medical institution or child consultation center.

[0128] Furthermore, in the data processing device 12, the processor 28 acquires a user input inquiring about people or facilities that are compatible with the subject. Furthermore, the processor 28 inputs a fourth prompt to the data generation model 58 to output people or facilities that are compatible with the subject indicated in the acquired user input, based on the diagnostic results of the subject's development. The processor 28 then outputs the people or facilities that are compatible with 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 guardian of the subject in building human relationships and reduce the effort required of the guardian to find a facility that is suitable for the subject.

[0129] (others) The data processing system 10 has been described above mainly with reference to the functions of the data processing device 12. However, 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. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone or the like. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[0130] In the above embodiment, the smart device 14 has been described as an example of a "predetermined output target" according to the technology of the present disclosure, but this is not limiting. For example, an electronic document of an digitized individual support plan may be an example of a "predetermined output target" according to the technology of the present disclosure. In this case, the diagnostic result of the subject's development, which is the result of the first identification process, is output to the electronic document.

[0131] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0132] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with 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] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0135] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0136] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[0137] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0138] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0139] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0140] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0141] 10 Data Processing System 12 Data Processing Device 14 Smart Devices 290 Special Processing Department 292 Input section 294 Processing Section 296 Output Section< / url:>

Claims

1. a processor; The processor: Acquire subject information showing the subject's daily life, inputting a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information, into a generative model that generates information according to input data; outputting the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, to a predetermined output target; Acquire actual age information indicating the actual age of the subject; inputting a second prompt, which is a prompt for outputting daily life information of the subject that should be added by the time of the next information update, into the generative model, in accordance with the actual age indicated in the acquired actual age information and the characteristics and degree of developmental disorder of the subject that have been output to the predetermined output target; outputting the daily life situation of the subject to be added, which is the output result of the generative model, to the predetermined output target; Data processing device.

2. The processor: adding instructions to the first prompt for outputting developmental findings for the subject indicated in the acquired subject information; outputting the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, and findings regarding the subject's development, to the predetermined output target; 2. The data processing device according to claim 1.

3. The processor: acquiring user input regarding at least one of the subject's elementary school, junior high school, high school, and post-high school career counseling; adding instructions to the first prompt for outputting a response to the career advice indicated in the obtained user input; outputting the characteristics and degree of the developmental disorder of the subject, findings on the subject's development, and answers to the career counseling, which are output results of the generative model, to the predetermined output target; 3. The data processing device according to claim 2.

4. The processor: Acquire actual age information indicating the actual age of the subject; adding to the first prompt an instruction to output a developmental age of the subject corresponding to the actual age indicated in the acquired actual age information; outputting, to the predetermined output target, the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, and the developmental age corresponding to the subject's actual age; 2. The data processing device according to claim 1.

5. The processor: acquiring future age information indicating the subject's future age; adding to the first prompt an instruction to output a developmental age of the subject corresponding to the future age indicated in the acquired future age information; outputting, to the predetermined output target, the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, the developmental age corresponding to the actual age of the subject, and the developmental age corresponding to the future age of the subject; 5. The data processing device according to claim 4.

6. The processor: outputting the daily life of the subject to be added, which is an output result of the generative model, to the predetermined output target at a timing when the period until the next information update is within a predetermined number of days; 2. The data processing device according to claim 1.

7. The processor: obtaining user input regarding a problem for the subject; inputting a third prompt, which is a prompt for outputting an answer to the problem indicated in the acquired user input, taking into account the characteristics of the developmental disorder of the subject, into the generative model; An answer to the problem of the subject, which is an output result of the generative model, is output to the predetermined output target.

2. The data processing device according to claim 1.

8. The processor: obtaining a user input inquiring about people or facilities that are compatible with the target person; inputting a fourth prompt, which is a prompt for outputting a person or facility that is compatible with the subject indicated in the acquired user input, based on the characteristics and degree of the developmental disorder of the subject, into the generative model; outputting, to the predetermined output target, a person or facility that has a good compatibility with the subject, which is an output result of the generative model; 2. The data processing device according to claim 1.

9. Acquire subject information showing the subject's daily life, inputting a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information, into a generative model that generates information according to input data; outputting the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, to a predetermined output target; Acquire actual age information indicating the actual age of the subject; inputting a second prompt, which is a prompt for outputting daily life information of the subject that should be added by the time of the next information update, into the generative model, in accordance with the actual age indicated in the acquired actual age information and the characteristics and degree of developmental disorder of the subject that have been output to the predetermined output target; outputting the daily life situation of the subject to be added, which is the output result of the generative model, to the predetermined output target; A data processing method in which processing is performed by a computer.

10. Acquire subject information showing the subject's daily life, inputting a first prompt, which is a prompt for outputting the characteristics and degree of developmental disorder of the subject indicated in the acquired subject information, into a generative model that generates information according to input data; outputting the characteristics and degree of developmental disorder of the subject, which are the output results of the generative model, to a predetermined output target; Acquire actual age information indicating the actual age of the subject; inputting a second prompt, which is a prompt for outputting daily life information of the subject that should be added by the time of the next information update, into the generative model, in accordance with the actual age indicated in the acquired actual age information and the characteristics and degree of developmental disorder of the subject that have been output to the predetermined output target; outputting the daily life situation of the subject to be added, which is the output result of the generative model, to the predetermined output target; A data processing program that causes a computer to perform processing.

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