system

Abstract

The system according to this embodiment aims to generate a posthumous Buddhist name based on information about the deceased and provide it at a low price. [Solution] The system according to the embodiment comprises a collection unit, a generation unit, and a provision unit. The collection unit collects information indicating the deceased's personality and activities during their lifetime. The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. The provision unit provides the posthumous Buddhist name generated by the generation unit to the temple.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, creating a posthumous Buddhist name is laborious and may be costly, leaving room for improvement.

[0005] The system according to the embodiment aims to generate a posthumous Buddhist name based on the information of the deceased and provide it at a low price.

Means for Solving the Problems

[0006] The system according to the embodiment includes a collection unit, a generation unit, and a provision unit. The collection unit collects information indicating the character and past activities of the deceased. The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. The provision unit provides the posthumous Buddhist name generated by the generation unit to a temple.

Effects of the Invention

[0007] The system according to this embodiment can generate a posthumous Buddhist name based on the deceased's information and provide it at a low cost. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

[0011] 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 CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna. 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).

[0015] 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 only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0016] [First Embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] As shown in FIG. 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.

[0018] 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. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] 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. Also, the reception device 38, the output device 40, and the camera 42 are connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice 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 unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (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.

[0022] 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.

[0023] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] As shown in Figure 2, in the data processing device 12, a specific processing 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 "program" related to the technology of this disclosure. 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.

[0025] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The AI ​​agent for creating and generating posthumous Buddhist names according to an embodiment of the present invention is a system that generates a posthumous Buddhist name that takes into account the deceased's personality and activities during their lifetime, and reflects the religious sect, desired rank, family wishes, and special episodes. This system collects information indicating the deceased's personality and activities during their lifetime, and the generating AI analyzes this information to generate a posthumous Buddhist name. For example, if a user inputs materials such as a photograph or video of the deceased, the generating AI generates a posthumous Buddhist name based on that information. The generated posthumous Buddhist name is provided to the temple for confirmation of whether the temple accepts it. The generated posthumous Buddhist name is also provided to the individual, allowing them to confirm the posthumous Buddhist name they desire. For example, the generating AI generates the posthumous Buddhist name "Renkoin Shakueido Koji". This posthumous Buddhist name includes "Renko," which symbolizes the pure lotus flower in Buddhism and represents light; "Shaku," which means one who has taken refuge in Buddhism; "Eido," which expresses wisdom and walking the right path; and "Koji," which is a title given to lay male believers. This AI-generated name agent caters to both religious organizations and individuals. For religious organizations, it supports the creation of posthumous Buddhist names for parishioners, while for individuals, it meets the needs of users who want to keep the cost of posthumous names low. It also coordinates with temples to create posthumous names that are acceptable to the temples. As a result, the AI-generated name agent can create posthumous names that take into account the deceased's personality and activities during their lifetime, providing appropriate names.

[0029] The AI ​​agent for creating and generating posthumous Buddhist names according to this embodiment comprises a collection unit, a generation unit, and a provision unit. The collection unit collects information that indicates the deceased's personality and activities during their lifetime. The collection unit collects materials such as photographs and videos that indicate the deceased's personality and activities during their lifetime. The collection unit may use AI to collect information that indicates the deceased's personality and activities during their lifetime. The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. The generation unit generates a posthumous Buddhist name, for example, based on the collected information and taking into account the religious sect and desired rank. The generation unit generates a posthumous Buddhist name based on the collected information using a generation AI. The generation unit, for example, uses a generation AI to analyze the deceased's personality and activities during their lifetime and generates a posthumous Buddhist name based on that. The generation unit can also use a generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit generates a posthumous Buddhist name, for example, taking into account the family's wishes and special episodes. The provision unit provides the posthumous Buddhist name generated by the generation unit to the temple. The provision unit provides the generated posthumous Buddhist name to the temple and confirms whether the temple accepts it. The service provider offers the generated posthumous Buddhist name to the individual and confirms the name the individual desires. The service provider may use AI to provide the generated posthumous Buddhist name. This allows the AI ​​agent for creating and generating posthumous Buddhist names according to the embodiment to generate a posthumous Buddhist name that takes into account the deceased's personality and activities during their lifetime, and to provide an appropriate posthumous Buddhist name.

[0030] The collection department gathers information that reveals the deceased's personality and activities during their lifetime. Specifically, it collects materials such as photographs and videos that illustrate the deceased's personality and activities. These materials are often provided by family and friends and contain memories and anecdotes about the deceased. The collection department digitizes these materials and analyzes them using AI to gain a detailed understanding of the deceased's personality and activities during their lifetime. For example, it extracts the deceased's hobbies, special skills, and social relationships from photographs and videos and saves them as text data. It also collects letters, diaries, and social media posts written by the deceased and analyzes them using natural language processing technology to understand the deceased's values ​​and outlook on life. Furthermore, the collection department can also conduct interviews with the deceased's family and friends to gather information about their personality and anecdotes. In this way, the collection department can comprehensively collect diverse information about the deceased's personality and activities during their lifetime and provide it to the generation department. The collection department centrally manages the collected information and can collaborate with other systems and departments as needed. For example, the collected information is stored on a cloud server and made accessible to the generation department. Furthermore, the data collection unit can adjust the frequency and accuracy of information collection, enabling flexible responses to specific situations and conditions. This allows the data collection unit to collect information efficiently and effectively, improving the overall system performance.

[0031] The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. Specifically, it generates a posthumous Buddhist name based on the collected information, taking into account the religious sect and desired rank. The generation unit uses a generation AI to generate a posthumous Buddhist name based on the collected information. The generation AI analyzes the deceased's personality and activities during their lifetime and generates a posthumous Buddhist name based on that. For example, the generation AI can generate a posthumous Buddhist name that reflects the deceased's hobbies, special skills, and worldview. The generation AI can also use natural language processing technology to reflect the deceased's episodes and the family's wishes in the posthumous Buddhist name. For example, it can incorporate specific characters or meanings desired by the family into the posthumous Buddhist name. The generation unit can also use the generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. For example, the generation unit generates a posthumous Buddhist name taking into account the family's wishes and special episodes. The generation unit can also receive supervision from religious experts to confirm that the generated posthumous Buddhist name conforms to the regulations and traditions of the religious sect. This allows the generation unit to generate a posthumous Buddhist name that takes into account the deceased's personality and activities during their lifetime and provides a posthumous Buddhist name that aligns with the family's wishes. Furthermore, the generation unit can evaluate the quality of the generated posthumous Buddhist names and make corrections or improvements as needed. This allows the generation unit to consistently produce high-quality posthumous Buddhist names and provide them to families and temples.

[0032] The service provider provides the generated posthumous Buddhist names to temples. Specifically, it provides the generated names to temples and confirms whether the temples can accept them. The service provider also provides the generated names to individuals and confirms the names the individuals desire. The service provider may use AI to provide the generated names. For example, the service provider can send the generated names to temples in digital format, and the temples can review them and determine if they are acceptable. The service provider can also provide the generated names to families and confirm the names the families desire. The service provider can collect feedback from families and provide it to the generation service provider to revise or improve the names. Furthermore, the service provider can print the generated names and provide them to families and temples. The service provider can use multiple communication methods to provide the generated names. For example, it can send the names via email or messaging apps. The service provider can also evaluate the quality of the generated names and revise or improve them as needed. This allows the service provider to consistently provide high-quality names and improve the satisfaction of families and temples. Furthermore, the service provider can save and manage the generated posthumous Buddhist names and re-provide them if needed in the future. This allows the service provider to provide posthumous Buddhist names efficiently and effectively, improving the overall performance of the system.

[0033] The collection unit can collect materials such as photographs and videos that show the deceased's personality and activities during their lifetime. For example, the collection unit can collect photographs and videos that show the deceased's personality and activities during their lifetime. For example, the collection unit can collect photographs and videos related to the deceased's hobbies and occupation. For example, the collection unit can collect photographs and videos of events and activities in which the deceased participated. For example, the collection unit can collect photographs and videos of the deceased with their family and friends. By collecting materials that show the deceased's personality and activities during their lifetime, the collection unit can generate a more accurate posthumous Buddhist name. Some or all of the above processing in the collection unit may be performed using AI or not. For example, the collection unit can input photographs and videos of the deceased into AI, which can then automatically classify and collect the materials.

[0034] The generation unit can generate a posthumous Buddhist name (kaimyo) based on the collected information, taking into account the sect and desired rank. The generation unit can, for example, generate a posthumous Buddhist name based on the collected information, taking into account the sect and desired rank. The generation unit can, for example, generate a posthumous Buddhist name for the Jodo sect. The generation unit can, for example, generate a posthumous Buddhist name for the Soto sect. The generation unit can, for example, generate a posthumous Buddhist name for the Rinzai sect. The generation unit can, for example, generate a posthumous Buddhist name that includes an In-go or Koji-go title depending on the desired rank. The generation unit can, for example, generate a posthumous Buddhist name that includes a Shinshi-go or Daishi-go title depending on the desired rank. The generation unit generates a posthumous Buddhist name based on the collected information using a generation AI. The generation unit, for example, uses a generation AI to analyze the collected information and generates a posthumous Buddhist name that takes into account the sect and desired rank. This allows the generation unit to generate a posthumous Buddhist name that takes into account the sect and desired rank. Some or all of the above-described processes in the generation unit may be performed using a generation AI, or they may be performed without using a generation AI. For example, the generation unit can input the collected information into the generation AI, which can then automatically generate a posthumous Buddhist name.

[0035] The service provider can provide the generated posthumous Buddhist name to a temple and verify whether the temple accepts it. For example, the service provider can provide the generated posthumous Buddhist name to a temple and verify whether the temple accepts it. For example, the service provider can provide the generated posthumous Buddhist name to a temple and have the temple's monks verify the name. For example, the service provider can provide the generated posthumous Buddhist name to a temple and verify whether it conforms to the temple's religious standards. For example, the service provider can provide the generated posthumous Buddhist name to a temple and have the temple's monks verify the name. In this way, the service provider can provide an appropriate posthumous Buddhist name by verifying whether the temple accepts it. Some or all of the above processes in the service provider may be performed using AI or not. For example, the service provider can input the generated posthumous Buddhist name into AI and the AI ​​can automatically verify whether it conforms to the temple's standards.

[0036] The generation unit can reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit can, for example, reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit can, for example, include specific characters or words that the family wishes to include in the posthumous Buddhist name. The generation unit can, for example, reflect specific meanings or symbols that the family wishes to include in the posthumous Buddhist name. The generation unit can, for example, reflect the family's memories and episodes with the deceased in the posthumous Buddhist name. The generation unit uses a generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit can, for example, have the generation AI analyze the family's wishes and special episodes and generate a posthumous Buddhist name based on that. In this way, the generation unit can generate a posthumous Buddhist name that reflects the family's wishes and special episodes. Some or all of the above-described processes in the generation unit may be performed using a generation AI or not. For example, the generation unit can input the family's wishes and special episodes into the generation AI, and the generation AI can automatically generate a posthumous Buddhist name.

[0037] The service provider can provide the generated posthumous Buddhist name to the individual and confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and conduct a questionnaire to confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and conduct an interview to confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and provide an online form to confirm the individual's desired name. In this way, the service provider can provide a posthumous Buddhist name that the individual is satisfied with by confirming the individual's desired name. Some or all of the above processes in the service provider may be performed using AI or not. For example, the service provider can input the generated posthumous Buddhist name into AI, and the AI ​​can automatically confirm the individual's wishes.

[0038] The data collection unit can estimate the deceased's emotions and adjust the types of materials it collects based on those estimated emotions. For example, the data collection unit might estimate the deceased's emotions and adjust the types of materials it collects based on those estimated emotions. For example, the data collection unit might prioritize collecting materials related to hobbies or activities the deceased enjoyed during their lifetime. For example, if the deceased participated in a particular religious ceremony, the data collection unit might collect materials related to that ceremony. For example, if the deceased cherished memories with their family, the data collection unit might collect photos and videos of them with their family. This allows the data collection unit to collect more appropriate materials by adjusting the types of materials it collects based on the deceased's emotions. Some or all of the above processing in the data collection unit may be performed using AI or not. For example, the data collection unit can input the deceased's emotions into the AI ​​and the AI ​​can automatically adjust the types of materials it collects.

[0039] The data collection unit can analyze the deceased's past activity history and select the most suitable collection method. For example, the data collection unit can analyze the deceased's past activity history and select the most suitable collection method. For example, the data collection unit can analyze the deceased's social media accounts and collect relevant materials based on their activity history. For example, the data collection unit can investigate the deceased's occupational history and collect materials related to their activities at work. For example, the data collection unit can investigate records of communities and organizations the deceased participated in and collect relevant materials. In this way, the data collection unit can select the most suitable collection method by analyzing the deceased's past activity history. Some or all of the above processes in the data collection unit may be performed using AI or not. For example, the data collection unit can input the deceased's past activity history into AI, and the AI ​​can automatically select the most suitable collection method.

[0040] The collection unit can filter materials based on the wishes of the deceased's family and special episodes during the collection process. For example, the collection unit can filter materials based on the wishes of the deceased's family and special episodes during the collection process. For example, the collection unit can prioritize collecting materials related to episodes that the family particularly cherishes. For example, the collection unit can exclude materials related to episodes that the family would prefer to avoid. For example, the collection unit can collect materials aligned with specific themes desired by the family. This allows the collection unit to collect more appropriate materials by filtering based on the wishes of the deceased's family and special episodes. Some or all of the above processing in the collection unit may be performed using AI or not. For example, the collection unit can input the family's wishes and special episodes into the AI, which can then automatically perform the filtering.

[0041] The collection unit can estimate the deceased's emotions and determine the priority of materials to collect based on those estimated emotions. For example, the collection unit might prioritize collecting materials related to events in which the deceased had strong emotions during their lifetime. For example, the collection unit might prioritize collecting photos and videos of people the deceased particularly cared about. For example, the collection unit might prioritize collecting materials related to places or events that had an emotional impact on the deceased. This allows the collection unit to prioritize collecting more important materials by determining the priority of materials based on the deceased's emotions. Some or all of the above processing in the collection unit may be performed using AI or not. For example, the collection unit can input the deceased's emotions into an AI, which can then automatically determine the priority of materials to collect.

[0042] The data collection unit can prioritize the collection of highly relevant data by considering the geographical location information of the deceased when collecting data. For example, the data collection unit prioritizes the collection of highly relevant data by considering the geographical location information of the deceased when collecting data. For example, the data collection unit prioritizes the collection of data related to places where the deceased lived for a long period of time. For example, the data collection unit prioritizes the collection of data related to places where the deceased frequently visited. For example, the data collection unit prioritizes the collection of data related to activities the deceased carried out in a specific region. In this way, the data collection unit can collect more appropriate data by prioritizing the collection of highly relevant data by considering the geographical location information of the deceased. Some or all of the above processing in the data collection unit may be performed using AI or not. For example, the data collection unit can input the geographical location information of the deceased into the AI, and the AI ​​can automatically prioritize the collection of highly relevant data.

[0043] The data collection unit can analyze the deceased's social media activity and collect relevant data when collecting materials. For example, the data collection unit can analyze the deceased's social media activity and collect relevant data. For example, the data collection unit can collect photos and videos that the deceased shared on social media. For example, the data collection unit can collect materials related to events and places that the deceased mentioned on social media. For example, the data collection unit can collect interactions between the deceased and people they interacted with on social media. In this way, the data collection unit can collect relevant data by analyzing the deceased's social media activity. Some or all of the above processing in the data collection unit may be performed using AI or not. For example, the data collection unit can input the deceased's social media activity into AI, and the AI ​​can automatically collect relevant data.

[0044] The generation unit can estimate the emotions of the deceased and adjust the expression of the posthumous Buddhist name based on the estimated emotions. For example, if the deceased had a gentle personality, the generation unit will generate a posthumous Buddhist name using soft language. If the deceased had a passionate personality, the generation unit will generate a posthumous Buddhist name using strong language. If the deceased had a humble personality, the generation unit will generate a posthumous Buddhist name using modest language. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the expression of the posthumous Buddhist name based on the emotions of the deceased. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the emotions of the deceased into a generation AI, and the generation AI can automatically adjust the expression of the posthumous Buddhist name.

[0045] The generation unit can adjust the level of detail of a posthumous Buddhist name based on important episodes of the deceased. For example, the generation unit can adjust the level of detail of a posthumous Buddhist name based on important episodes of the deceased. For example, the generation unit can generate a posthumous Buddhist name that emphasizes the achievements the deceased accomplished during their lifetime. For example, if the deceased valued their family ties, the generation unit can generate a posthumous Buddhist name that expresses those ties. For example, if the deceased participated in a particular religious ceremony, the generation unit can generate a posthumous Buddhist name that reflects that ceremony. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the level of detail based on important episodes of the deceased. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input important episodes of the deceased into the generation AI, and the generation AI can automatically adjust the level of detail of the posthumous Buddhist name.

[0046] The generation unit can apply different generation algorithms when generating a posthumous Buddhist name, depending on the deceased's religious sect and desired rank. For example, the generation unit can apply the Jodo sect's posthumous Buddhist name generation algorithm to generate a Jodo sect posthumous Buddhist name. For example, the generation unit can apply the Soto sect's posthumous Buddhist name generation algorithm to generate a Soto sect posthumous Buddhist name. For example, the generation unit can apply the Rinzai sect's posthumous Buddhist name generation algorithm to generate a Rinzai sect posthumous Buddhist name. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by applying different generation algorithms depending on the deceased's religious sect and desired rank. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the deceased's religious sect and desired rank into the generation AI, and the generation AI can automatically apply a different generation algorithm.

[0047] The generation unit can estimate the emotions of the deceased and adjust the length of the posthumous Buddhist name based on the estimated emotions. For example, if the deceased had a gentle personality, the generation unit will generate a short and concise posthumous Buddhist name. If the deceased had a passionate personality, the generation unit will generate a long and detailed posthumous Buddhist name. If the deceased had a humble personality, the generation unit will generate a posthumous Buddhist name of modest length. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the length based on the emotions of the deceased. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the emotions of the deceased into a generation AI, and the generation AI can automatically adjust the length of the posthumous Buddhist name.

[0048] The generation unit can determine the priority of posthumous Buddhist names based on the deceased's period of activity during their lifetime. For example, the generation unit can determine the priority of posthumous Buddhist names based on the deceased's period of activity during their lifetime. For example, the generation unit can determine the priority of posthumous Buddhist names based on the period when the deceased was most active during their lifetime. For example, if the deceased experienced an important event at a particular time, the generation unit can determine the priority of posthumous Buddhist names based on that time. For example, the generation unit can determine the priority of posthumous Buddhist names based on the period when the deceased was most influenced during their lifetime. In this way, the generation unit can generate more appropriate posthumous Buddhist names by determining the priority of posthumous Buddhist names based on the deceased's period of activity during their lifetime. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the deceased's period of activity during their lifetime into the generation AI, and the generation AI can automatically determine the priority of posthumous Buddhist names.

[0049] The generation unit can adjust the order of posthumous Buddhist names based on the deceased's relevance when generating them. For example, the generation unit adjusts the order of posthumous Buddhist names based on the deceased's relevance when generating them. For example, if the deceased valued family ties, the generation unit prioritizes elements related to family when generating the posthumous name. For example, if the deceased participated in a specific religious ceremony, the generation unit prioritizes elements related to that ceremony when generating the posthumous name. For example, if the generation unit prioritizes elements that highlight the achievements the deceased accomplished during their lifetime when generating the posthumous name. In this way, the generation unit can generate more appropriate posthumous names by adjusting the order of posthumous names based on the deceased's relevance. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the deceased's relevance into a generation AI, and the generation AI can automatically adjust the order of the posthumous names.

[0050] The service provider can estimate the deceased's emotions and adjust the method of providing the posthumous Buddhist name based on the estimated emotions. For example, if the deceased had a gentle personality, the service provider will provide a posthumous Buddhist name using gentle language. If the deceased had a passionate personality, the service provider will provide a posthumous Buddhist name using powerful language. If the deceased had a humble personality, the service provider will provide a posthumous Buddhist name using modest language. In this way, the service provider can provide a more appropriate posthumous Buddhist name by adjusting the method of providing the posthumous Buddhist name based on the emotions of the deceased. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's emotions into the AI, and the AI ​​can automatically adjust the method of providing the posthumous Buddhist name.

[0051] The service provider can analyze the deceased's past religious activities when providing a posthumous Buddhist name and select the most appropriate method of provision. For example, the service provider can analyze the deceased's past religious activities when providing a posthumous Buddhist name and select the most appropriate method of provision. For example, the service provider can provide a posthumous Buddhist name based on the religious ceremonies the deceased participated in during their lifetime. For example, if the deceased had a particular religious belief, the service provider can provide a posthumous Buddhist name based on that belief. For example, if the deceased belonged to a religious community, the service provider can provide a posthumous Buddhist name based on the customs of that community. In this way, the service provider can select the most appropriate method of provision by analyzing the deceased's past religious activities. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's past religious activities into AI, and the AI ​​can automatically select the most appropriate method of provision.

[0052] The service provider can customize the method of providing a posthumous Buddhist name based on the wishes of the deceased's family. For example, the service provider can customize the method of providing a posthumous Buddhist name based on the wishes of the deceased's family. The service provider can provide the posthumous Buddhist name in the format desired by the family (e.g., paper, digital). The service provider can provide the posthumous Buddhist name at the time desired by the family. The service provider can provide the posthumous Buddhist name at the location desired by the family. In this way, the service provider can provide a more satisfying posthumous Buddhist name by customizing the method of provision based on the wishes of the deceased's family. Some or all of the above processes in the service provider may be performed using AI or not. For example, the service provider can input the family's wishes into the AI, and the AI ​​can automatically customize the method of provision.

[0053] The service provider can estimate the emotions of the deceased and determine the priority of providing a posthumous Buddhist name based on the estimated emotions. For example, the service provider may prioritize providing a posthumous Buddhist name related to an event in which the deceased had strong emotions during their lifetime. For example, the service provider may prioritize providing a posthumous Buddhist name related to people the deceased particularly cherished. For example, the service provider may prioritize providing a posthumous Buddhist name related to a place or event that had an emotional impact on the deceased. In this way, the service provider can provide a more appropriate posthumous Buddhist name by determining the priority of providing a posthumous Buddhist name based on the emotions of the deceased. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider may input the emotions of the deceased into AI, and the AI ​​may automatically determine the priority of providing a posthumous Buddhist name.

[0054] The service provider can select the most appropriate method of providing a posthumous Buddhist name by considering the deceased's geographical location information. For example, the service provider can select the most appropriate method of providing a posthumous Buddhist name by considering the deceased's geographical location information. For example, the service provider can prioritize providing posthumous Buddhist names related to places where the deceased lived for a long period of time. For example, the service provider can provide posthumous Buddhist names related to places the deceased frequently visited. For example, the service provider can provide posthumous Buddhist names related to activities the deceased performed in a specific region. In this way, the service provider can provide more appropriate posthumous Buddhist names by selecting the most appropriate method of providing a posthumous Buddhist name by considering the deceased's geographical location information. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's geographical location information into AI, and the AI ​​can automatically select the most appropriate method of providing a posthumous Buddhist name.

[0055] The service provider can analyze the deceased's social media activity when providing a posthumous Buddhist name and propose a method of provision. For example, the service provider can analyze the deceased's social media activity when providing a posthumous Buddhist name and propose a method of provision. For example, the service provider can provide a posthumous Buddhist name related to photos and videos shared by the deceased on social media. For example, the service provider can provide a posthumous Buddhist name related to events and places mentioned by the deceased on social media. For example, the service provider can provide a posthumous Buddhist name related to interactions with people the deceased interacted with on social media. In this way, the service provider can propose a more appropriate method of provision by analyzing the deceased's social media activity. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's social media activity into AI, and the AI ​​can automatically propose a method of provision.

[0056] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0057] The data collection unit can also collect information from online communities related to the deceased's hobbies and interests when gathering information that reveals the deceased's personality and activities during their lifetime. For example, if the deceased participated in forums or groups related to a particular hobby, posts and comments from those communities can be collected. Records of online events and webinars the deceased participated in can also be collected. Furthermore, usage history of applications and services used by the deceased can be collected to obtain information related to their hobbies and interests. This allows the data collection unit to generate a more accurate posthumous Buddhist name by gathering information based on the deceased's hobbies and interests.

[0058] The generation unit can generate a posthumous Buddhist name that reflects important events in the deceased's life, based on the collected information. For example, if the deceased played a significant role in a particular project or activity, that event can be reflected in the posthumous name. Similarly, if the deceased received a specific award or commendation, that honor can be reflected in the posthumous name. Furthermore, contributions to a particular community or organization can also be reflected in the posthumous name. In this way, the generation unit can provide a more personalized posthumous name by generating one that reflects important events in the deceased's life.

[0059] The following briefly describes the processing flow for example form 1.

[0060] Step 1: The collection unit gathers information that reflects the deceased's personality and activities during their lifetime. For example, it collects materials such as photographs and videos that illustrate the deceased's personality and activities during their lifetime. The collection unit can also use AI to gather information. Step 2: The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. Based on the collected information, the generation unit generates a posthumous Buddhist name taking into account the religious sect and desired rank. The generation unit can also use generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. Step 3: The provider unit provides the temple with the posthumous Buddhist name generated by the generation unit. The provider unit provides the generated posthumous Buddhist name to the temple and confirms whether the temple accepts it. The provider unit provides the generated posthumous Buddhist name to the individual and confirms the individual's desired posthumous Buddhist name. The provider unit may use AI to provide the generated posthumous Buddhist name.

[0061] (Example of form 2) The AI ​​agent for creating and generating posthumous Buddhist names according to an embodiment of the present invention is a system that generates a posthumous Buddhist name that takes into account the deceased's personality and activities during their lifetime, and reflects the religious sect, desired rank, family wishes, and special episodes. This system collects information indicating the deceased's personality and activities during their lifetime, and the generating AI analyzes this information to generate a posthumous Buddhist name. For example, if a user inputs materials such as a photograph or video of the deceased, the generating AI generates a posthumous Buddhist name based on that information. The generated posthumous Buddhist name is provided to the temple for confirmation of whether the temple accepts it. The generated posthumous Buddhist name is also provided to the individual, allowing them to confirm the posthumous Buddhist name they desire. For example, the generating AI generates the posthumous Buddhist name "Renkoin Shakueido Koji". This posthumous Buddhist name includes "Renko," which symbolizes the pure lotus flower in Buddhism and represents light; "Shaku," which means one who has taken refuge in Buddhism; "Eido," which expresses wisdom and walking the right path; and "Koji," which is a title given to lay male believers. This AI-generated name agent caters to both religious organizations and individuals. For religious organizations, it supports the creation of posthumous Buddhist names for parishioners, while for individuals, it meets the needs of users who want to keep the cost of posthumous names low. It also coordinates with temples to create posthumous names that are acceptable to the temples. As a result, the AI-generated name agent can create posthumous names that take into account the deceased's personality and activities during their lifetime, providing appropriate names.

[0062] The AI ​​agent for creating and generating posthumous Buddhist names according to this embodiment comprises a collection unit, a generation unit, and a provision unit. The collection unit collects information that indicates the deceased's personality and activities during their lifetime. The collection unit collects materials such as photographs and videos that indicate the deceased's personality and activities during their lifetime. The collection unit may use AI to collect information that indicates the deceased's personality and activities during their lifetime. The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. The generation unit generates a posthumous Buddhist name, for example, based on the collected information and taking into account the religious sect and desired rank. The generation unit generates a posthumous Buddhist name based on the collected information using a generation AI. The generation unit, for example, uses a generation AI to analyze the deceased's personality and activities during their lifetime and generates a posthumous Buddhist name based on that. The generation unit can also use a generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit generates a posthumous Buddhist name, for example, taking into account the family's wishes and special episodes. The provision unit provides the posthumous Buddhist name generated by the generation unit to the temple. The provision unit provides the generated posthumous Buddhist name to the temple and confirms whether the temple accepts it. The service provider offers the generated posthumous Buddhist name to the individual and confirms the name the individual desires. The service provider may use AI to provide the generated posthumous Buddhist name. This allows the AI ​​agent for creating and generating posthumous Buddhist names according to the embodiment to generate a posthumous Buddhist name that takes into account the deceased's personality and activities during their lifetime, and to provide an appropriate posthumous Buddhist name.

[0063] The collection department gathers information that reveals the deceased's personality and activities during their lifetime. Specifically, it collects materials such as photographs and videos that illustrate the deceased's personality and activities. These materials are often provided by family and friends and contain memories and anecdotes about the deceased. The collection department digitizes these materials and analyzes them using AI to gain a detailed understanding of the deceased's personality and activities during their lifetime. For example, it extracts the deceased's hobbies, special skills, and social relationships from photographs and videos and saves them as text data. It also collects letters, diaries, and social media posts written by the deceased and analyzes them using natural language processing technology to understand the deceased's values ​​and outlook on life. Furthermore, the collection department can also conduct interviews with the deceased's family and friends to gather information about their personality and anecdotes. In this way, the collection department can comprehensively collect diverse information about the deceased's personality and activities during their lifetime and provide it to the generation department. The collection department centrally manages the collected information and can collaborate with other systems and departments as needed. For example, the collected information is stored on a cloud server and made accessible to the generation department. Furthermore, the data collection unit can adjust the frequency and accuracy of information collection, enabling flexible responses to specific situations and conditions. This allows the data collection unit to collect information efficiently and effectively, improving the overall system performance.

[0064] The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. Specifically, it generates a posthumous Buddhist name based on the collected information, taking into account the religious sect and desired rank. The generation unit uses a generation AI to generate a posthumous Buddhist name based on the collected information. The generation AI analyzes the deceased's personality and activities during their lifetime and generates a posthumous Buddhist name based on that. For example, the generation AI can generate a posthumous Buddhist name that reflects the deceased's hobbies, special skills, and worldview. The generation AI can also use natural language processing technology to reflect the deceased's episodes and the family's wishes in the posthumous Buddhist name. For example, it can incorporate specific characters or meanings desired by the family into the posthumous Buddhist name. The generation unit can also use the generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. For example, the generation unit generates a posthumous Buddhist name taking into account the family's wishes and special episodes. The generation unit can also receive supervision from religious experts to confirm that the generated posthumous Buddhist name conforms to the regulations and traditions of the religious sect. This allows the generation unit to generate a posthumous Buddhist name that takes into account the deceased's personality and activities during their lifetime and provides a posthumous Buddhist name that aligns with the family's wishes. Furthermore, the generation unit can evaluate the quality of the generated posthumous Buddhist names and make corrections or improvements as needed. This allows the generation unit to consistently produce high-quality posthumous Buddhist names and provide them to families and temples.

[0065] The service provider provides the generated posthumous Buddhist names to temples. Specifically, it provides the generated names to temples and confirms whether the temples can accept them. The service provider also provides the generated names to individuals and confirms the names the individuals desire. The service provider may use AI to provide the generated names. For example, the service provider can send the generated names to temples in digital format, and the temples can review them and determine if they are acceptable. The service provider can also provide the generated names to families and confirm the names the families desire. The service provider can collect feedback from families and provide it to the generation service provider to revise or improve the names. Furthermore, the service provider can print the generated names and provide them to families and temples. The service provider can use multiple communication methods to provide the generated names. For example, it can send the names via email or messaging apps. The service provider can also evaluate the quality of the generated names and revise or improve them as needed. This allows the service provider to consistently provide high-quality names and improve the satisfaction of families and temples. Furthermore, the service provider can save and manage the generated posthumous Buddhist names and re-provide them if needed in the future. This allows the service provider to provide posthumous Buddhist names efficiently and effectively, improving the overall performance of the system.

[0066] The collection unit can collect materials such as photographs and videos that show the deceased's personality and activities during their lifetime. For example, the collection unit can collect photographs and videos that show the deceased's personality and activities during their lifetime. For example, the collection unit can collect photographs and videos related to the deceased's hobbies and occupation. For example, the collection unit can collect photographs and videos of events and activities in which the deceased participated. For example, the collection unit can collect photographs and videos of the deceased with their family and friends. By collecting materials that show the deceased's personality and activities during their lifetime, the collection unit can generate a more accurate posthumous Buddhist name. Some or all of the above processing in the collection unit may be performed using AI or not. For example, the collection unit can input photographs and videos of the deceased into AI, which can then automatically classify and collect the materials.

[0067] The generation unit can generate a posthumous Buddhist name (kaimyo) based on the collected information, taking into account the sect and desired rank. The generation unit can, for example, generate a posthumous Buddhist name based on the collected information, taking into account the sect and desired rank. The generation unit can, for example, generate a posthumous Buddhist name for the Jodo sect. The generation unit can, for example, generate a posthumous Buddhist name for the Soto sect. The generation unit can, for example, generate a posthumous Buddhist name for the Rinzai sect. The generation unit can, for example, generate a posthumous Buddhist name that includes an In-go or Koji-go title depending on the desired rank. The generation unit can, for example, generate a posthumous Buddhist name that includes a Shinshi-go or Daishi-go title depending on the desired rank. The generation unit generates a posthumous Buddhist name based on the collected information using a generation AI. The generation unit, for example, uses a generation AI to analyze the collected information and generates a posthumous Buddhist name that takes into account the sect and desired rank. This allows the generation unit to generate a posthumous Buddhist name that takes into account the sect and desired rank. Some or all of the above-described processes in the generation unit may be performed using a generation AI, or they may be performed without using a generation AI. For example, the generation unit can input the collected information into the generation AI, which can then automatically generate a posthumous Buddhist name.

[0068] The service provider can provide the generated posthumous Buddhist name to a temple and verify whether the temple accepts it. For example, the service provider can provide the generated posthumous Buddhist name to a temple and verify whether the temple accepts it. For example, the service provider can provide the generated posthumous Buddhist name to a temple and have the temple's monks verify the name. For example, the service provider can provide the generated posthumous Buddhist name to a temple and verify whether it conforms to the temple's religious standards. For example, the service provider can provide the generated posthumous Buddhist name to a temple and have the temple's monks verify the name. In this way, the service provider can provide an appropriate posthumous Buddhist name by verifying whether the temple accepts it. Some or all of the above processes in the service provider may be performed using AI or not. For example, the service provider can input the generated posthumous Buddhist name into AI and the AI ​​can automatically verify whether it conforms to the temple's standards.

[0069] The generation unit can reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit can, for example, reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit can, for example, include specific characters or words that the family wishes to include in the posthumous Buddhist name. The generation unit can, for example, reflect specific meanings or symbols that the family wishes to include in the posthumous Buddhist name. The generation unit can, for example, reflect the family's memories and episodes with the deceased in the posthumous Buddhist name. The generation unit uses a generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. The generation unit can, for example, have the generation AI analyze the family's wishes and special episodes and generate a posthumous Buddhist name based on that. In this way, the generation unit can generate a posthumous Buddhist name that reflects the family's wishes and special episodes. Some or all of the above-described processes in the generation unit may be performed using a generation AI or not. For example, the generation unit can input the family's wishes and special episodes into the generation AI, and the generation AI can automatically generate a posthumous Buddhist name.

[0070] The service provider can provide the generated posthumous Buddhist name to the individual and confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and conduct a questionnaire to confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and conduct an interview to confirm the individual's desired name. For example, the service provider can provide the generated posthumous Buddhist name to the individual and provide an online form to confirm the individual's desired name. In this way, the service provider can provide a posthumous Buddhist name that the individual is satisfied with by confirming the individual's desired name. Some or all of the above processes in the service provider may be performed using AI or not. For example, the service provider can input the generated posthumous Buddhist name into AI, and the AI ​​can automatically confirm the individual's wishes.

[0071] The data collection unit can estimate the deceased's emotions and adjust the types of materials it collects based on those estimated emotions. For example, the data collection unit might estimate the deceased's emotions and adjust the types of materials it collects based on those estimated emotions. For example, the data collection unit might prioritize collecting materials related to hobbies or activities the deceased enjoyed during their lifetime. For example, if the deceased participated in a particular religious ceremony, the data collection unit might collect materials related to that ceremony. For example, if the deceased cherished memories with their family, the data collection unit might collect photos and videos of them with their family. This allows the data collection unit to collect more appropriate materials by adjusting the types of materials it collects based on the deceased's emotions. Some or all of the above processing in the data collection unit may be performed using AI or not. For example, the data collection unit can input the deceased's emotions into the AI ​​and the AI ​​can automatically adjust the types of materials it collects.

[0072] The data collection unit can analyze the deceased's past activity history and select the most suitable collection method. For example, the data collection unit can analyze the deceased's past activity history and select the most suitable collection method. For example, the data collection unit can analyze the deceased's social media accounts and collect relevant materials based on their activity history. For example, the data collection unit can investigate the deceased's occupational history and collect materials related to their activities at work. For example, the data collection unit can investigate records of communities and organizations the deceased participated in and collect relevant materials. In this way, the data collection unit can select the most suitable collection method by analyzing the deceased's past activity history. Some or all of the above processes in the data collection unit may be performed using AI or not. For example, the data collection unit can input the deceased's past activity history into AI, and the AI ​​can automatically select the most suitable collection method.

[0073] The collection unit can filter materials based on the wishes of the deceased's family and special episodes during the collection process. For example, the collection unit can filter materials based on the wishes of the deceased's family and special episodes during the collection process. For example, the collection unit can prioritize collecting materials related to episodes that the family particularly cherishes. For example, the collection unit can exclude materials related to episodes that the family would prefer to avoid. For example, the collection unit can collect materials aligned with specific themes desired by the family. This allows the collection unit to collect more appropriate materials by filtering based on the wishes of the deceased's family and special episodes. Some or all of the above processing in the collection unit may be performed using AI or not. For example, the collection unit can input the family's wishes and special episodes into the AI, which can then automatically perform the filtering.

[0074] The collection unit can estimate the deceased's emotions and determine the priority of materials to collect based on those estimated emotions. For example, the collection unit might prioritize collecting materials related to events in which the deceased had strong emotions during their lifetime. For example, the collection unit might prioritize collecting photos and videos of people the deceased particularly cared about. For example, the collection unit might prioritize collecting materials related to places or events that had an emotional impact on the deceased. This allows the collection unit to prioritize collecting more important materials by determining the priority of materials based on the deceased's emotions. Some or all of the above processing in the collection unit may be performed using AI or not. For example, the collection unit can input the deceased's emotions into an AI, which can then automatically determine the priority of materials to collect.

[0075] The data collection unit can prioritize the collection of highly relevant data by considering the geographical location information of the deceased when collecting data. For example, the data collection unit prioritizes the collection of highly relevant data by considering the geographical location information of the deceased when collecting data. For example, the data collection unit prioritizes the collection of data related to places where the deceased lived for a long period of time. For example, the data collection unit prioritizes the collection of data related to places where the deceased frequently visited. For example, the data collection unit prioritizes the collection of data related to activities the deceased carried out in a specific region. In this way, the data collection unit can collect more appropriate data by prioritizing the collection of highly relevant data by considering the geographical location information of the deceased. Some or all of the above processing in the data collection unit may be performed using AI or not. For example, the data collection unit can input the geographical location information of the deceased into the AI, and the AI ​​can automatically prioritize the collection of highly relevant data.

[0076] The data collection unit can analyze the deceased's social media activity and collect relevant data when collecting materials. For example, the data collection unit can analyze the deceased's social media activity and collect relevant data. For example, the data collection unit can collect photos and videos that the deceased shared on social media. For example, the data collection unit can collect materials related to events and places that the deceased mentioned on social media. For example, the data collection unit can collect interactions between the deceased and people they interacted with on social media. In this way, the data collection unit can collect relevant data by analyzing the deceased's social media activity. Some or all of the above processing in the data collection unit may be performed using AI or not. For example, the data collection unit can input the deceased's social media activity into AI, and the AI ​​can automatically collect relevant data.

[0077] The generation unit can estimate the emotions of the deceased and adjust the expression of the posthumous Buddhist name based on the estimated emotions. For example, if the deceased had a gentle personality, the generation unit will generate a posthumous Buddhist name using soft language. If the deceased had a passionate personality, the generation unit will generate a posthumous Buddhist name using strong language. If the deceased had a humble personality, the generation unit will generate a posthumous Buddhist name using modest language. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the expression of the posthumous Buddhist name based on the emotions of the deceased. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the emotions of the deceased into a generation AI, and the generation AI can automatically adjust the expression of the posthumous Buddhist name.

[0078] The generation unit can adjust the level of detail of a posthumous Buddhist name based on important episodes of the deceased. For example, the generation unit can adjust the level of detail of a posthumous Buddhist name based on important episodes of the deceased. For example, the generation unit can generate a posthumous Buddhist name that emphasizes the achievements the deceased accomplished during their lifetime. For example, if the deceased valued their family ties, the generation unit can generate a posthumous Buddhist name that expresses those ties. For example, if the deceased participated in a particular religious ceremony, the generation unit can generate a posthumous Buddhist name that reflects that ceremony. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the level of detail based on important episodes of the deceased. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input important episodes of the deceased into the generation AI, and the generation AI can automatically adjust the level of detail of the posthumous Buddhist name.

[0079] The generation unit can apply different generation algorithms when generating a posthumous Buddhist name, depending on the deceased's religious sect and desired rank. For example, the generation unit can apply the Jodo sect's posthumous Buddhist name generation algorithm to generate a Jodo sect posthumous Buddhist name. For example, the generation unit can apply the Soto sect's posthumous Buddhist name generation algorithm to generate a Soto sect posthumous Buddhist name. For example, the generation unit can apply the Rinzai sect's posthumous Buddhist name generation algorithm to generate a Rinzai sect posthumous Buddhist name. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by applying different generation algorithms depending on the deceased's religious sect and desired rank. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the deceased's religious sect and desired rank into the generation AI, and the generation AI can automatically apply a different generation algorithm.

[0080] The generation unit can estimate the emotions of the deceased and adjust the length of the posthumous Buddhist name based on the estimated emotions. For example, if the deceased had a gentle personality, the generation unit will generate a short and concise posthumous Buddhist name. If the deceased had a passionate personality, the generation unit will generate a long and detailed posthumous Buddhist name. If the deceased had a humble personality, the generation unit will generate a posthumous Buddhist name of modest length. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the length based on the emotions of the deceased. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the emotions of the deceased into a generation AI, and the generation AI can automatically adjust the length of the posthumous Buddhist name.

[0081] The generation unit can determine the priority of posthumous Buddhist names based on the deceased's period of activity during their lifetime. For example, the generation unit can determine the priority of posthumous Buddhist names based on the deceased's period of activity during their lifetime. For example, the generation unit can determine the priority of posthumous Buddhist names based on the period when the deceased was most active during their lifetime. For example, if the deceased experienced an important event at a particular time, the generation unit can determine the priority of posthumous Buddhist names based on that time. For example, the generation unit can determine the priority of posthumous Buddhist names based on the period when the deceased was most influenced during their lifetime. In this way, the generation unit can generate more appropriate posthumous Buddhist names by determining the priority of posthumous Buddhist names based on the deceased's period of activity during their lifetime. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the deceased's period of activity during their lifetime into the generation AI, and the generation AI can automatically determine the priority of posthumous Buddhist names.

[0082] The generation unit can adjust the order of posthumous Buddhist names based on the deceased's relevance when generating them. For example, the generation unit adjusts the order of posthumous Buddhist names based on the deceased's relevance when generating them. For example, if the deceased valued family ties, the generation unit prioritizes elements related to family when generating the posthumous name. For example, if the deceased participated in a specific religious ceremony, the generation unit prioritizes elements related to that ceremony when generating the posthumous name. For example, if the generation unit prioritizes elements that highlight the achievements the deceased accomplished during their lifetime when generating the posthumous name. In this way, the generation unit can generate more appropriate posthumous names by adjusting the order of posthumous names based on the deceased's relevance. Some or all of the above processing in the generation unit may be performed using a generation AI, or it may be performed without a generation AI. For example, the generation unit can input the deceased's relevance into a generation AI, and the generation AI can automatically adjust the order of the posthumous names.

[0083] The service provider can estimate the deceased's emotions and adjust the method of providing the posthumous Buddhist name based on the estimated emotions. For example, if the deceased had a gentle personality, the service provider will provide a posthumous Buddhist name using gentle language. If the deceased had a passionate personality, the service provider will provide a posthumous Buddhist name using powerful language. If the deceased had a humble personality, the service provider will provide a posthumous Buddhist name using modest language. In this way, the service provider can provide a more appropriate posthumous Buddhist name by adjusting the method of providing the posthumous Buddhist name based on the emotions of the deceased. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's emotions into the AI, and the AI ​​can automatically adjust the method of providing the posthumous Buddhist name.

[0084] The service provider can analyze the deceased's past religious activities when providing a posthumous Buddhist name and select the most appropriate method of provision. For example, the service provider can analyze the deceased's past religious activities when providing a posthumous Buddhist name and select the most appropriate method of provision. For example, the service provider can provide a posthumous Buddhist name based on the religious ceremonies the deceased participated in during their lifetime. For example, if the deceased had a particular religious belief, the service provider can provide a posthumous Buddhist name based on that belief. For example, if the deceased belonged to a religious community, the service provider can provide a posthumous Buddhist name based on the customs of that community. In this way, the service provider can select the most appropriate method of provision by analyzing the deceased's past religious activities. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's past religious activities into AI, and the AI ​​can automatically select the most appropriate method of provision.

[0085] The service provider can customize the method of providing a posthumous Buddhist name based on the wishes of the deceased's family. For example, the service provider can customize the method of providing a posthumous Buddhist name based on the wishes of the deceased's family. The service provider can provide the posthumous Buddhist name in the format desired by the family (e.g., paper, digital). The service provider can provide the posthumous Buddhist name at the time desired by the family. The service provider can provide the posthumous Buddhist name at the location desired by the family. In this way, the service provider can provide a more satisfying posthumous Buddhist name by customizing the method of provision based on the wishes of the deceased's family. Some or all of the above processes in the service provider may be performed using AI or not. For example, the service provider can input the family's wishes into the AI, and the AI ​​can automatically customize the method of provision.

[0086] The service provider can estimate the emotions of the deceased and determine the priority of providing a posthumous Buddhist name based on the estimated emotions. For example, the service provider may prioritize providing a posthumous Buddhist name related to an event in which the deceased had strong emotions during their lifetime. For example, the service provider may prioritize providing a posthumous Buddhist name related to people the deceased particularly cherished. For example, the service provider may prioritize providing a posthumous Buddhist name related to a place or event that had an emotional impact on the deceased. In this way, the service provider can provide a more appropriate posthumous Buddhist name by determining the priority of providing a posthumous Buddhist name based on the emotions of the deceased. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider may input the emotions of the deceased into AI, and the AI ​​may automatically determine the priority of providing a posthumous Buddhist name.

[0087] The service provider can select the most appropriate method of providing a posthumous Buddhist name by considering the deceased's geographical location information. For example, the service provider can select the most appropriate method of providing a posthumous Buddhist name by considering the deceased's geographical location information. For example, the service provider can prioritize providing posthumous Buddhist names related to places where the deceased lived for a long period of time. For example, the service provider can provide posthumous Buddhist names related to places the deceased frequently visited. For example, the service provider can provide posthumous Buddhist names related to activities the deceased performed in a specific region. In this way, the service provider can provide more appropriate posthumous Buddhist names by selecting the most appropriate method of providing a posthumous Buddhist name by considering the deceased's geographical location information. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's geographical location information into AI, and the AI ​​can automatically select the most appropriate method of providing a posthumous Buddhist name.

[0088] The service provider can analyze the deceased's social media activity when providing a posthumous Buddhist name and propose a method of provision. For example, the service provider can analyze the deceased's social media activity when providing a posthumous Buddhist name and propose a method of provision. For example, the service provider can provide a posthumous Buddhist name related to photos and videos shared by the deceased on social media. For example, the service provider can provide a posthumous Buddhist name related to events and places mentioned by the deceased on social media. For example, the service provider can provide a posthumous Buddhist name related to interactions with people the deceased interacted with on social media. In this way, the service provider can propose a more appropriate method of provision by analyzing the deceased's social media activity. Some or all of the above processing in the service provider may be performed using AI or not. For example, the service provider can input the deceased's social media activity into AI, and the AI ​​can automatically propose a method of provision.

[0089] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0090] The data collection unit can also collect information from online communities related to the deceased's hobbies and interests when gathering information that reveals the deceased's personality and activities during their lifetime. For example, if the deceased participated in forums or groups related to a particular hobby, posts and comments from those communities can be collected. Records of online events and webinars the deceased participated in can also be collected. Furthermore, usage history of applications and services used by the deceased can be collected to obtain information related to their hobbies and interests. This allows the data collection unit to generate a more accurate posthumous Buddhist name by gathering information based on the deceased's hobbies and interests.

[0091] The generation unit can generate a posthumous Buddhist name that reflects important events in the deceased's life, based on the collected information. For example, if the deceased played a significant role in a particular project or activity, that event can be reflected in the posthumous name. Similarly, if the deceased received a specific award or commendation, that honor can be reflected in the posthumous name. Furthermore, contributions to a particular community or organization can also be reflected in the posthumous name. In this way, the generation unit can provide a more personalized posthumous name by generating one that reflects important events in the deceased's life.

[0092] The service provider can include a message of gratitude to the deceased's family and friends when providing the generated posthumous Buddhist name. For example, the service provider can provide a message of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. Furthermore, the service provider can provide a video message of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. In addition, the service provider can provide a letter of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. This allows the service provider to provide a more touching posthumous Buddhist name by expressing gratitude to the deceased's family and friends.

[0093] The collection unit can estimate the deceased's emotions and adjust the types of materials collected based on those estimates. For example, it can prioritize collecting materials related to events that particularly affected the deceased emotionally during their lifetime. It can also collect photographs and videos of people the deceased held dear. Furthermore, it can collect materials related to places or events that emotionally impacted the deceased. This allows the collection unit to collect more appropriate materials by adjusting the types of materials collected based on the deceased's emotions.

[0094] The generation unit can estimate the deceased's emotions and adjust the expression of the posthumous Buddhist name based on those estimated emotions. For example, if the deceased had a gentle personality, it can generate a posthumous Buddhist name using soft language. If the deceased had a passionate personality, it can generate a posthumous Buddhist name using powerful language. Furthermore, if the deceased had a humble personality, it can generate a posthumous Buddhist name using modest language. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the expression of the name based on the deceased's emotions.

[0095] The service provider can include a message of gratitude to the deceased's family and friends when providing the generated posthumous Buddhist name. For example, the service provider can provide a message of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. Furthermore, the service provider can provide a video message of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. In addition, the service provider can provide a letter of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. This allows the service provider to provide a more touching posthumous Buddhist name by expressing gratitude to the deceased's family and friends.

[0096] The collection unit can estimate the deceased's emotions and adjust the types of materials collected based on those estimates. For example, it can prioritize collecting materials related to events that particularly affected the deceased emotionally during their lifetime. It can also collect photographs and videos of people the deceased held dear. Furthermore, it can collect materials related to places or events that emotionally impacted the deceased. This allows the collection unit to collect more appropriate materials by adjusting the types of materials collected based on the deceased's emotions.

[0097] The generation unit can estimate the deceased's emotions and adjust the expression of the posthumous Buddhist name based on those estimated emotions. For example, if the deceased had a gentle personality, it can generate a posthumous Buddhist name using soft language. If the deceased had a passionate personality, it can generate a posthumous Buddhist name using powerful language. Furthermore, if the deceased had a humble personality, it can generate a posthumous Buddhist name using modest language. In this way, the generation unit can generate a more appropriate posthumous Buddhist name by adjusting the expression of the name based on the deceased's emotions.

[0098] The service provider can include a message of gratitude to the deceased's family and friends when providing the generated posthumous Buddhist name. For example, the service provider can provide a message of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. Furthermore, the service provider can provide a video message of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. In addition, the service provider can provide a letter of gratitude to the deceased's family and friends along with the generated posthumous Buddhist name. This allows the service provider to provide a more touching posthumous Buddhist name by expressing gratitude to the deceased's family and friends.

[0099] The collection unit can estimate the deceased's emotions and adjust the types of materials collected based on those estimates. For example, it can prioritize collecting materials related to events that particularly affected the deceased emotionally during their lifetime. It can also collect photographs and videos of people the deceased held dear. Furthermore, it can collect materials related to places or events that emotionally impacted the deceased. This allows the collection unit to collect more appropriate materials by adjusting the types of materials collected based on the deceased's emotions.

[0100] The following briefly describes the processing flow for example form 2.

[0101] Step 1: The collection unit gathers information that reflects the deceased's personality and activities during their lifetime. For example, it collects materials such as photographs and videos that illustrate the deceased's personality and activities during their lifetime. The collection unit can also use AI to gather information. Step 2: The generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name. Based on the collected information, the generation unit generates a posthumous Buddhist name taking into account the religious sect and desired rank. The generation unit can also use generation AI to reflect the family's wishes and special episodes in the posthumous Buddhist name. Step 3: The provider unit provides the temple with the posthumous Buddhist name generated by the generation unit. The provider unit provides the generated posthumous Buddhist name to the temple and confirms whether the temple accepts it. The provider unit provides the generated posthumous Buddhist name to the individual and confirms the individual's desired posthumous Buddhist name. The provider unit may use AI to provide the generated posthumous Buddhist name.

[0102] The specific processing unit 290 transmits 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. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0103] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. 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, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0104] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0105] Each of the multiple elements, including the collection unit, generation unit, and provision unit described above, is implemented, for example, by at least one of the smart device 14 and the data processing unit 12. For example, the collection unit uses the camera 42 and microphone 38B of the smart device 14 to collect materials such as photographs and videos of the deceased, and the control unit 46A collects the information. The generation unit is implemented, for example, by the identification processing unit 290 of the data processing unit 12, and analyzes the collected information to generate a posthumous Buddhist name. The provision unit is implemented, for example, by the control unit 46A of the smart device 14, and provides the generated posthumous Buddhist name to the temple or the individual. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0106] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0107] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0108] 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 and / or LAN.

[0109] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0110] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0111] Camera 42 is a small digital camera equipped with an optical system including 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, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0112] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0113] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0114] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0115] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0116] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0117] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0118] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0119] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0120] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0121] Each of the multiple elements, including the collection unit, generation unit, and provision unit described above, is implemented in, for example, at least one of the smart glasses 214 and the data processing unit 12. For example, the collection unit uses the camera 42 and microphone 238 of the smart glasses 214 to collect materials such as photographs and videos of the deceased, and the control unit 46A collects the information. The generation unit is implemented in, for example, the identification processing unit 290 of the data processing unit 12, which analyzes the collected information to generate a posthumous Buddhist name. The provision unit is implemented in, for example, the control unit 46A of the smart glasses 214, which provides the generated posthumous Buddhist name to the temple or the individual. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0122] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0123] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0124] 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 and / or LAN.

[0125] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0126] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0127] Camera 42 is a small digital camera equipped with an optical system including 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, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0128] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0129] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0130] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0131] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0132] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0133] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0134] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0135] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0136] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0137] Each of the multiple elements, including the collection unit, generation unit, and provision unit described above, is implemented in at least one of the headset terminal 314 and the data processing unit 12. For example, the collection unit uses the camera 42 and microphone 238 of the headset terminal 314 to collect materials such as photographs and videos of the deceased, and the control unit 46A collects the information. The generation unit is implemented in the specific processing unit 290 of the data processing unit 12, and analyzes the collected information to generate a posthumous Buddhist name. The provision unit is implemented in the control unit 46A of the headset terminal 314, and provides the generated posthumous Buddhist name to the temple or the individual. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0138] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0139] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0140] 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 and / or LAN.

[0141] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0142] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0143] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0144] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0145] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0146] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0147] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0148] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0149] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0150] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0151] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0152] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0153] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0154] Each of the multiple elements, including the collection unit, generation unit, and provision unit described above, is implemented in, for example, at least one of the robot 414 and the data processing unit 12. For example, the collection unit uses the camera 42 and microphone 238 of the robot 414 to collect materials such as photographs and videos of the deceased, and the control unit 46A collects the information. The generation unit is implemented in, for example, the identification processing unit 290 of the data processing unit 12, which analyzes the collected information to generate a posthumous Buddhist name. The provision unit is implemented in, for example, the control unit 46A of the robot 414, which provides the generated posthumous Buddhist name to the temple or the individual. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0155] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0156] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0157] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0158] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0159] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0160] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0161] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0171] 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 other things 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.

[0172] 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.

[0173] (Note 1) A collection department that collects information indicating the deceased's personality and activities during their lifetime, A generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name, A provisioning unit that provides the posthumous Buddhist name generated by the generation unit to the temple, Equipped with A system characterized by the following features. (Note 2) The aforementioned collection unit is Collect materials such as photographs and videos that show the deceased's personality and activities during their lifetime. The system described in Appendix 1, characterized by the features described herein. (Note 3) The generating unit is Based on the collected information, a posthumous Buddhist name is generated, taking into account the religious sect and desired rank. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned supply unit is, The generated posthumous Buddhist name is provided to the temple, and it is confirmed whether the temple accepts it. The system described in Appendix 1, characterized by the features described herein. (Note 5) The generating unit is The family's wishes and special stories are reflected in the posthumous Buddhist name. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned supply unit is, The generated posthumous Buddhist name is provided to the individual, and the individual confirms the posthumous Buddhist name they wish to receive. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned collection unit is We estimate the deceased's emotions and adjust the types of materials collected based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned collection unit is Analyze the deceased's past activity history and select the most suitable collection method. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned collection unit is When collecting materials, filtering is performed based on the wishes of the deceased's family and any special anecdotes. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned collection unit is We estimate the deceased's emotions and prioritize the materials to collect based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned collection unit is When collecting documents, prioritize the collection of highly relevant materials, taking into account the deceased's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned collection unit is When collecting information, analyze the deceased's social media activity and collect relevant materials. The system described in Appendix 1, characterized by the features described herein. (Note 13) The generating unit is We estimate the deceased's emotions and adjust the expression of the posthumous Buddhist name based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 14) The generating unit is When generating a posthumous Buddhist name, adjust the level of detail based on important episodes from the deceased's life. The system described in Appendix 1, characterized by the features described herein. (Note 15) The generating unit is When generating a posthumous Buddhist name, different generation algorithms are applied depending on the deceased's religious sect and desired rank. The system described in Appendix 1, characterized by the features described herein. (Note 16) The generating unit is The length of the posthumous Buddhist name is adjusted based on an estimate of the deceased's emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The generating unit is When generating a posthumous Buddhist name, the priority of the names is determined based on the period of the deceased's activities during their lifetime. The system described in Appendix 1, characterized by the features described herein. (Note 18) The generating unit is When generating posthumous Buddhist names, the order of the names is adjusted based on the deceased's relationship to the deceased. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned supply unit is, We estimate the deceased's emotions and adjust the method of providing the posthumous Buddhist name based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned supply unit is, When providing a posthumous Buddhist name, we analyze the deceased's past religious activities to select the most appropriate method of provision. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned supply unit is, When providing a posthumous Buddhist name, the method of provision will be customized based on the wishes of the deceased's family. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned supply unit is, We estimate the deceased's emotions and determine the priority for providing a posthumous Buddhist name based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned supply unit is, When providing a posthumous Buddhist name, the most suitable method of provision will be selected considering the deceased's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned supply unit is, When providing a posthumous Buddhist name, we analyze the deceased's social media activity and propose a method for providing the name. The system described in Appendix 1, characterized by the features described herein. [Explanation of symbols]

[0174] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. A collection department that collects information indicating the deceased's personality and activities during their lifetime, A generation unit analyzes the information collected by the collection unit and generates a posthumous Buddhist name, A provisioning unit that provides the posthumous Buddhist name generated by the generation unit to the temple, Equipped with A system characterized by the following features.

2. The aforementioned collection unit is Collect materials such as photographs and videos that show the deceased's personality and activities during their lifetime. The system according to feature 1.

3. The generating unit is Based on the collected information, a posthumous Buddhist name is generated, taking into account the religious sect and desired rank. The system according to feature 1.

4. The aforementioned supply unit is, The generated posthumous Buddhist name is provided to the temple, and it is confirmed whether the temple accepts it. The system according to feature 1.

5. The generating unit is The family's wishes and special stories are reflected in the posthumous Buddhist name. The system according to feature 1.

6. The aforementioned supply unit is, The generated posthumous Buddhist name is provided to the individual, and the individual confirms the posthumous Buddhist name they wish to receive. The system according to feature 1.

7. The aforementioned collection unit is We estimate the deceased's emotions and adjust the types of materials collected based on those estimated emotions. The system according to feature 1.

8. The aforementioned collection unit is Analyze the deceased's past activity history and select the most suitable collection method. The system according to feature 1.

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