Apparatus and method for improving mentality by using oriental painting

Abstract

Disclosed are an apparatus and method for improving mentality by using an Oriental painting. The method for improving mentality, according to a disclosed embodiment, is performed by a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors, and comprises the steps of: generating a prompt for generating an image on the basis of an input of a user or user profile information; inputting the prompt to a first neural network model to generate an Oriental painting image and display same on a screen; and measuring a mentality improvement effect on the user according to generation of the Oriental painting image.

Description

Psychological improvement device and method using oriental painting

[0001] An embodiment of the present invention relates to a psychological improvement technique.

[0002] Oriental painting refers to Eastern paintings created using traditional Eastern materials and techniques. Among these, Korean painting is generally known to provide emotional comfort, expand the human psyche, and reduce stress. Furthermore, Oriental painting is known to improve cognitive function and alleviate depression and anxiety in the elderly. Meanwhile, recent advances in generative AI models have made it possible to automatically generate images. Therefore, there is a need for methods that can generate Oriental paintings using generative AI models and utilize them for psychological improvement.

[0003] An embodiment of the present invention provides a psychological improvement device and method using oriental painting that can improve a user's psychological state.

[0004] A psychological improvement device according to one embodiment disclosed is a psychological improvement device having one or more processors and a memory storing one or more programs executed by the one or more processors, the psychological improvement device including a prompt generation module that generates a prompt for image generation based on a user's input or user profile information; an image generation module that obtains image mode information, inputs the image mode information and a prompt into a first neural network model, generates an oriental painting image, and displays the image on a screen; and a psychological effect measurement module that measures a psychological improvement effect of the user according to the generation of the oriental painting image.

[0005] The user profile information may include at least one of the user's gender, age, and occupation, and the image mode information may include at least one of the style of the Oriental painting, the type of the Oriental painting, and the number of the Oriental paintings to be generated by the first neural network model.

[0006] The above prompt generation module can randomly select a prompt from among the prompts used to generate images of other users having user profile information similar to the user profile information of the user and set it as the user's prompt.

[0007] The above psychological effect measurement module can measure the psychological state of the user before and after creating an oriental painting image for preset psychological variables, and measure the degree of psychological improvement effect for each of the psychological variables.

[0008] The above psychological effect measurement module can extract psychological variables among the preset psychological variables whose psychological improvement effect level is below a preset threshold value.

[0009] The above psychological improvement device may further include a prompt update module that updates a prompt to be input to the first neural network model to improve a psychological variable whose psychological improvement effect level is below a preset threshold value.

[0010] The above prompt update module may include a second neural network model trained to output a prompt by inputting user profile information of the user and a psychological variable whose psychological improvement effect level is below a preset threshold value.

[0011] The image generation module can input the updated prompt and image mode information into the first neural network model to regenerate an oriental painting image.

[0012] The above psychological effect measurement module can obtain a user evaluation score for each preset evaluation item regarding the characteristics of the generated oriental painting image.

[0013] The above evaluation items include one or more of mimesis, imperfection, serendipity, quality, and catharsis, and the psychological effect measurement module can analyze the influence of the characteristics of the generated oriental painting image on the improvement of the psychological effect of the user based on the user's evaluation score for each of the evaluation items and the degree of psychological improvement effect for each of the psychological variables.

[0014] A method for improving psychology according to one embodiment of the present disclosure is a method performed on a computing device having one or more processors and a memory storing one or more programs executed by the one or more processors, the method comprising: generating a prompt for image generation based on a user's input or user profile information; inputting the prompt into a first neural network model to generate an oriental painting image and displaying the image on a screen; and measuring the effect of improving the psychology of the user according to the generation of the oriental painting image.

[0015] The step of generating the above prompt may be performed by randomly selecting a prompt from among prompts used to generate images of other users having user profile information similar to the user profile information of the user and setting it as the user's prompt.

[0016] The step of measuring the above psychological improvement effect may include a step of measuring the psychological state of the user before and after creating an oriental painting image for preset psychological variables, and measuring the degree of psychological improvement effect for each of the psychological variables.

[0017] The step of measuring the psychological improvement effect may further include a step of extracting a psychological variable among the preset psychological variables whose psychological improvement effect level is below a preset threshold value.

[0018] The above psychological improvement method may further include a step of updating a prompt to be input into the first neural network model to improve a psychological variable whose psychological improvement effect level is below a preset threshold value.

[0019] The step of updating the above prompt may include a step of inputting the user profile information of the user and the psychological variable whose psychological improvement effect level is below a preset threshold value into a second neural network model to output a prompt.

[0020] The above psychological improvement method may further include a step of inputting the updated prompt and image mode information into the first neural network model to regenerate an oriental painting image.

[0021] The above psychological improvement method may further include a step of obtaining a user evaluation score for each preset evaluation item regarding the characteristics of the generated oriental painting image.

[0022] The above evaluation items include one or more of mimesis, imperfection, serendipity, quality, and catharsis, and the psychological improvement method may further include a step of analyzing the influence of the characteristics of the generated oriental painting image on the improvement of the psychological effect of the user based on the user's evaluation score for each of the evaluation items and the degree of psychological improvement effect for each of the psychological variables.

[0023] According to the disclosed embodiment, by having a user create an oriental painting image through a psychological improvement device and displaying the created oriental painting image on a screen so that the user can appreciate it, the user's psychological state can be easily improved without separate counseling.

[0024] Figure 1 is a block diagram showing the configuration of a psychological improvement device using oriental painting according to one embodiment of the present invention.

[0025] Figures 2 and 3 are drawings showing ink painting and ink color painting generated from the first neural network model according to a prompt input in one embodiment of the present invention, respectively.

[0026] Figure 4 is a diagram showing a questionnaire for measuring a user's psychological state in one embodiment of the present invention.

[0027] Figure 5 is a flowchart for explaining a psychological improvement method using an oriental painting image according to one embodiment of the present invention.

[0028] FIG. 6 is a block diagram illustrating a computing environment including a computing device suitable for use in exemplary embodiments.

[0029] Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to facilitate a comprehensive understanding of the methods, devices, and / or systems described herein. However, these are merely examples and the present invention is not limited thereto.

[0030] In describing embodiments of the present invention, if a detailed description of a known technology related to the present invention is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, the terms described below are terms defined in consideration of their functions in the present invention, and this may vary depending on the intention or custom of the user or operator. Therefore, the definitions should be made based on the contents throughout this specification. The terminology used in the detailed description is only for the purpose of describing embodiments of the present invention and should not be limited in any way. Unless clearly used otherwise, the singular form includes the plural form. In this description, expressions such as "comprises" or "having" are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, and should not be construed to exclude the presence or possibility of one or more other features, numbers, steps, operations, elements, parts or combinations thereof other than those described.

[0031] Additionally, while terms such as "first" and "second" may be used to describe various components, these components should not be limited by these terms. These terms may be used to distinguish one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a "second component," and similarly, a second component may also be referred to as a "first component."

[0032] Figure 1 is a block diagram showing the configuration of a psychological improvement device using oriental painting according to one embodiment of the present invention.

[0033] Referring to FIG. 1, the psychological improvement device (100) may include a prompt generation module (102), an image generation module (104), a psychological effect measurement module (106), and a prompt update module (108).

[0034] The prompt generation module (102) can generate a prompt for image generation based on user input or user profile information. Here, the user may be someone seeking to improve their psychological state through a psychological improvement device (100). Furthermore, the prompt may be a command to be input into a neural network model for image generation, as described below.

[0035] In one embodiment, the prompt generation module (102) can generate a prompt for image generation based on user input. At this time, the user can input text indicating which image he or she wishes to generate.

[0036] Additionally, the prompt generation module (102) can generate a prompt for image creation based on the user's user profile information. The user profile information may be pre-stored. The user can sign up for a psychological improvement service through the psychological improvement device (100) and enter user profile information when signing up. For example, the user profile information may include the user's gender, age, occupation, etc.

[0037] In one embodiment, the prompt generation module (102) may store the prompts used for image generation by matching them with each user's user profile information. The prompt generation module (102) may randomly select one of the prompts for image generation of other users whose user profile information (gender, age, occupation, etc.) is similar to the current user's user profile information and set it as the prompt for that user.

[0038] The image generation module (104) can receive a prompt generated by the prompt generation module (102). The image generation module (104) can receive image mode information from the user. Here, the image mode information can include information on the style (artist's style) of the Oriental painting to be generated by the first neural network model (104a) described below, the type of the Oriental painting (e.g., sumi-e, sumi-e, colored painting, colored painting, etc.), and the number of Oriental paintings.

[0039] The image generation module (104) can generate an Oriental painting image based on the input prompt and image mode information. To this end, the image generation module (104) may include a first neural network model (104a). The first neural network model (104a) may be a generative artificial intelligence model trained to generate an Oriental painting image based on the input prompt and image mode information.

[0040] The first neural network model (104a) can be trained using Oriental paintings (such as sumi-e paintings, sumi-e colored paintings, and colored paintings) created by existing painters as training data. At this time, descriptions of Oriental paintings (e.g., descriptions of what kind of painting an Oriental painting is) and the names of the Oriental painting's painters can be labeled and used to train the first neural network model (104a). The first neural network model (104a) can be trained to generate corresponding Oriental painting images according to prompt and image mode information. Since the training process of the first neural network model (104a) is the same as or similar to a previously known image-generating artificial intelligence model, a detailed description thereof will be omitted.

[0041] When prompt and image mode information are input, the first neural network model (104a) can generate an oriental painting corresponding to the prompt based on the painting style, type, and number included in the image mode information. FIGS. 2 and 3 are drawings each showing a sumi-e painting and a sumi-e color painting generated by the first neural network model (104a) based on a prompt input in one embodiment of the present invention.

[0042] Meanwhile, although image mode information is described as being input by the user here, it is not limited thereto, and the image mode information may be preset. The image generation module (104) can obtain image mode information input by the user or preset image mode information and input it into the first neural network model (104a) along with a prompt.

[0043] The image generation module (104) can display the Oriental painting image generated by the first neural network model (104a) on the screen so that the user can visually confirm it. The image generation module (104) can match the prompt and image mode information with the Oriental painting image generated by the first neural network model (104a) and store it in a database.

[0044] The psychological effect measurement module (106) can measure the psychological improvement effect of the user resulting from the creation of an Oriental painting image. That is, the psychological effect measurement module (106) can measure the improved psychological effect of the user when the user creates an Oriental painting image through the psychological improvement device (100) and visually confirms the created Oriental painting image. The user can create an Oriental painting in collaboration with a generative artificial intelligence model and achieve psychological stability while viewing the Oriental painting image displayed on the screen, and at this time, the improved psychological effect of the user can be measured.

[0045] Specifically, the psychological effect measurement module (106) can measure the user's psychological state before and after the creation of the Oriental painting image. In one embodiment, the psychological effect measurement module (106) can measure the user's psychological state through a questionnaire before and after the creation of the Oriental painting image. The psychological effect measurement module (106) can display the questionnaire on the screen and receive responses to each questionnaire item from the user.

[0046] The survey may include items designed to measure the user's psychological variables, such as depression, anxiety and worry, well-being, stress, helplessness, hopelessness, and unhappiness, as illustrated in Figure 4. However, each item in the survey is merely an example and is not limited thereto. For each item, the user may be asked to respond at multiple levels (e.g., very much so, so, moderately so, sometimes so, not so much).

[0047] The psychological effect measurement module (106) can measure the degree of improved psychological effect of the user for each of the preset psychological variables (depression, worry and anxiety, well-being, stress, helplessness, despair, and unhappiness, etc.). The psychological effect measurement module (106) can measure the degree of psychological improvement effect of each psychological variable based on the change in the psychological state of the user for each psychological variable before and after the creation of the oriental painting. The psychological effect measurement module (106) can extract a psychological variable among the preset psychological variables in which the degree of improved psychological effect of the user is below a preset threshold value.

[0048] In addition, the psychological effect measurement module (106) can obtain user evaluations of the characteristics of the Oriental painting image generated by the first neural network model (104a). In one embodiment, the psychological effect measurement module (106) can obtain user evaluation scores for each preset evaluation item regarding the characteristics of the generated Oriental painting image. The psychological effect measurement module (106) can obtain user evaluation scores for the preset evaluation items through a questionnaire, but is not limited thereto. Here, the evaluation items can include mimesis, imperfection, serendipity, quality, and catharsis.

[0049] Mimesis may be used to evaluate the degree to which the Oriental painting image generated by the first neural network model (104a) closely mimics the real world or a work painted by an actual artist. Imperfection may be used to evaluate the completeness of the Oriental painting image generated by the first neural network model (104a). Serendipity, in a positive sense, may be used to evaluate the positive influence, insight, idea, inspiration, etc. experienced by the user while viewing the Oriental painting image generated by the first neural network model (104a). Quality may be used to evaluate whether the Oriental painting image generated by the first neural network model (104a) is a well-made work. Catharsis may be used to evaluate the degree of catharsis felt by the user while viewing the Oriental painting image generated by the first neural network model (104a).

[0050] The psychological effect measurement module (106) can store user evaluation scores for each preset evaluation item regarding the characteristics of an Oriental painting image, matching them with the user's improved psychological effect level for preset psychological variables. This allows for the verification of the impact of the characteristics of an Oriental painting image generated by the first neural network model (104a) on the user's improved psychological effect.

[0051] In one embodiment, the psychological effect measurement module (106) analyzes the evaluation scores of users for each preset evaluation item and the degree of improved psychological effect of users for preset psychological variables for the Oriental painting image generated by the first neural network model (104a) over a certain period of time using a multivariate statistical technique, thereby confirming to what extent the characteristics of the Oriental painting image have an improving effect on a certain psychological variable.

[0052] Here, the image generation module (104) can retrain the first neural network model (104a) based on the evaluation scores of users for each preset evaluation item for the Oriental painting image generated by the first neural network model (104a) over a certain period of time. In one embodiment, the image generation module (104) can output evaluation items for which the evaluation scores for each preset evaluation item are lower than a preset reference score. The image generation module (104) can retrain the first neural network model (104a) so that the characteristics of the Oriental painting image according to the evaluation items for which the evaluation scores are lower than the preset reference score are improved.

[0053] The prompt update module (108) can update the prompt for image generation. If there is a psychological variable among the preset psychological variables whose degree of improved psychological effect of the user is below a preset threshold value, the prompt update module (108) can update the prompt input to the first neural network model (104a) to improve the psychological variable below the preset threshold value.

[0054] In one embodiment, the prompt update module (108) may update the prompt based on the user's user profile information and cases of improved psychological effects for the corresponding psychological variable. That is, the prompt update module (108) may extract cases of improved psychological variables (i.e., psychological variables with an improved psychological effect level below a preset threshold) from among cases of other users similar to the user's user profile information, and update the user's prompt based on the prompt used in the extracted cases.

[0055] In one embodiment, the prompt update module (108) may include a second neural network model (108a). The second neural network model (108a) may be a case-based learning model. The prompt update module (108) may train the second neural network model (108a) to output one or more prompts by inputting user profile information and psychological variables. The prompt update module (108) may input the user profile information and psychological variables whose improved psychological effect level is below a preset threshold value into the second neural network model (108a) for which training has been completed, and output a prompt by doing so, and may use the outputted prompt as an updated prompt.

[0056] The prompt update module (108) can transmit the updated prompt to the image generation module (104). Then, the image generation module (104) inputs the updated prompt and image mode information into the first neural network model (104a) to regenerate the oriental painting image, and can display the regenerated oriental painting image on the screen.

[0057] According to the disclosed embodiment, by allowing a user to create an oriental painting image through a psychological improvement device (100) and display the created oriental painting image on a screen so that the user can appreciate it, the user's psychological state can be easily improved without separate consultation.

[0058] As used herein, the term "module" may refer to a functional and structural combination of hardware for implementing the technical concepts of the present invention and software for operating the hardware. For example, the term "module" may refer to a logical unit of a given code and hardware resources for executing the given code, and does not necessarily refer to physically connected code or a single type of hardware.

[0059] Figure 5 is a flowchart illustrating a psychological improvement method using Oriental painting images according to one embodiment of the present invention. While the illustrated flowchart divides the method into multiple steps, at least some of the steps may be performed in a different order, combined with other steps and performed together, omitted, divided into substeps, or performed with one or more additional steps not depicted.

[0060] Referring to Fig. 5, the psychological improvement device (100) can measure the user's preset psychological variables prior to generating an Oriental painting image (S 101). The preset psychological variables may include the user's depression, anxiety and worry, well-being, stress, helplessness, despair, and unhappiness.

[0061] Next, the psychological improvement device (100) can generate a prompt for image generation based on the user's input or user profile information (S 103). Next, the psychological improvement device (100) can receive image mode information from the user and input the generated prompt and image mode information into the first neural network model (104a) to generate an oriental painting image (S 105).

[0062] Next, the psychological improvement device (100) displays the generated oriental painting image on the screen and measures the user's preset psychological variables according to viewing the oriental painting image with the eyes, thereby measuring the degree of the user's improved psychological effect for each psychological variable (S 107).

[0063] Next, the psychological improvement device (100) can check whether there is a psychological variable among the preset psychological variables whose degree of improved psychological effect on the user is below the preset threshold value (S 109).

[0064] As a result of the verification of S 109, if there is a psychological variable whose improved psychological effect level of the user is below a preset threshold value, the psychological improvement device (100) inputs the user profile information and the psychological variable whose improved psychological effect level is below a preset threshold value into the second neural network model (108a), and can update the prompt through the prompt output by the second neural network model (108a) (S 111).

[0065] Next, the psychological improvement device (100) can input the updated prompt and image mode information into the first neural network model (104a) to regenerate the oriental image (S 113).

[0066] The psychological improvement device (100) can repeat the process from S 107 to S 113 until there is no psychological variable among the preset psychological variables whose degree of improved psychological effect on the user is below the preset threshold value.

[0067] FIG. 6 is a block diagram illustrating a computing environment (10) including a computing device suitable for use in exemplary embodiments. In the illustrated embodiment, each component may have different functions and capabilities other than those described below, and may include additional components other than those described below.

[0068] The illustrated computing environment (10) includes a computing device (12). In one embodiment, the computing device (12) may be a psychological improvement device (100) using an oriental painting image.

[0069] A computing device (12) includes at least one processor (14), a computer-readable storage medium (16), and a communication bus (18). The processor (14) may cause the computing device (12) to operate according to the exemplary embodiments mentioned above. For example, the processor (14) may execute one or more programs stored in the computer-readable storage medium (16). The one or more programs may include one or more computer-executable instructions, which, when executed by the processor (14), may be configured to cause the computing device (12) to perform operations according to the exemplary embodiments.

[0070] A computer-readable storage medium (16) is configured to store computer-executable instructions or program code, program data, and / or other suitable forms of information. A program (20) stored in the computer-readable storage medium (16) includes a set of instructions executable by the processor (14). In one embodiment, the computer-readable storage medium (16) may be a memory (volatile memory such as random access memory, non-volatile memory, or a suitable combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, any other form of storage medium that can be accessed by the computing device (12) and store desired information, or a suitable combination thereof.

[0071] A communication bus (18) interconnects various other components of the computing device (12), including the processor (14) and computer-readable storage media (16).

[0072] The computing device (12) may also include one or more input / output interfaces (22) that provide interfaces for one or more input / output devices (24) and one or more network communication interfaces (26). The input / output interfaces (22) and the network communication interfaces (26) are connected to the communication bus (18). The input / output devices (24) may be connected to other components of the computing device (12) via the input / output interfaces (22). Exemplary input / output devices (24) may include input devices such as pointing devices (such as a mouse or a trackpad), a keyboard, a touch input device (such as a touchpad or a touchscreen), a voice or sound input device, various types of sensor devices and / or photographing devices, and / or output devices such as display devices, printers, speakers and / or network cards. The exemplary input / output devices (24) may be included within the computing device (12) as a component constituting the computing device (12), or may be connected to the computing device (12) as a separate device distinct from the computing device (12).

[0073] While representative embodiments of the present invention have been described in detail above, those skilled in the art will appreciate that various modifications to the above-described embodiments are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the claims set forth below but also by equivalents thereof.

Claims

1. One or more processors, and A psychological improvement device having a memory that stores one or more programs executed by one or more processors, A prompt generation module that generates a prompt for image generation based on user input or user profile information; An image generation module that obtains image mode information, inputs the image mode information and a prompt into a first neural network model to generate an oriental painting image, and displays the image on the screen; and A psychological improvement device including a psychological effect measurement module that measures the psychological improvement effect of the user according to the creation of the above-mentioned oriental painting image.

2. In claim 1, The above user profile information includes one or more of the user's gender, age, and occupation, A psychological improvement device, wherein the image mode information includes at least one of the style of the oriental painting, the type of the oriental painting, and the number of the oriental paintings to be generated by the first neural network model.

3. In claim 2, The above prompt generation module is, A psychological improvement device that randomly selects a prompt from among the prompts used to create images of other users having user profile information similar to the user profile information of the user and sets it as the user's prompt.

4. In claim 1, The above psychological effect measurement module is, A psychological improvement device that measures the psychological state of the user before and after creating an oriental painting image for preset psychological variables and measures the degree of psychological improvement effect for each of the psychological variables.

5. In claim 4, The above psychological effect measurement module is, A psychological improvement device that extracts psychological variables among the above-described psychological variables whose psychological improvement effect level is below a preset threshold value.

6. In claim 5, The above psychological improvement device is, A psychological improvement device further comprising a prompt update module that updates a prompt to be input to the first neural network model to improve a psychological variable whose psychological improvement effect level is below a preset threshold value.

7. In claim 6, The above prompt update module is, A psychological improvement device including a second neural network model that is trained to output a prompt by inputting user profile information of the user and a psychological variable whose psychological improvement effect level is below a preset threshold value.

8. In claim 6, The above image generation module, A psychological improvement device that inputs the updated prompt and image mode information into the first neural network model to regenerate an oriental painting image.

9. In claim 4, The above psychological effect measurement module is, A psychological improvement device that obtains a user's evaluation score for each preset evaluation item regarding the characteristics of the above-mentioned oriental painting image.

10. In claim 9, The above evaluation items include one or more of mimesis, imperfection, serendipity, quality, and catharsis. The above psychological effect measurement module is, A psychological improvement device that analyzes the influence of the characteristics of the generated oriental painting image on the improvement of the psychological effect of the user based on the user's evaluation score for each of the above evaluation items and the degree of psychological improvement effect for each of the above psychological variables.

11. One or more processors, and A method performed on a computing device having a memory storing one or more programs executed by one or more processors, A step of generating a prompt for image generation based on user input or user profile information; A step of inputting the above prompt into the first neural network model to generate an oriental painting image and displaying it on the screen; and A psychological improvement method, comprising a step of measuring the psychological improvement effect of the user according to the creation of the above oriental painting image.

12. In claim 11, The steps to create the above prompt are: A psychological improvement method for setting a prompt of the user by randomly selecting one of the prompts used to create an image of other users having user profile information similar to the user profile information of the user.

13. In claim 11, The step of measuring the above psychological improvement effect is: A psychological improvement method, comprising a step of measuring the psychological state of the user before and after creating an oriental painting image for preset psychological variables and measuring the degree of psychological improvement effect for each of the psychological variables.

14. In claim 13, The step of measuring the above psychological improvement effect is: A psychological improvement method further comprising a step of extracting a psychological variable among the above preset psychological variables, the degree of psychological improvement effect of which is below a preset threshold value.

15. In claim 14, The above psychological improvement method is, A psychological improvement method further comprising a step of updating a prompt to be input to the first neural network model to improve a psychological variable whose psychological improvement effect level is below a preset threshold value.

16. In claim 15, The steps to update the above prompt are: A psychological improvement method, comprising a step of inputting user profile information of the user and psychological variables having a psychological improvement effect level below a preset threshold value into a second neural network model to output a prompt.

17. In claim 16, The above psychological improvement method is, A psychological improvement method further comprising a step of inputting the updated prompt and image mode information into the first neural network model to regenerate an oriental painting image.

18. In claim 13, The above psychological improvement method is, A psychological improvement method further comprising a step of obtaining a user's evaluation score for each preset evaluation item regarding the characteristics of the above-mentioned generated oriental painting image.

19. In claim 18, The above evaluation items include one or more of mimesis, imperfection, serendipity, quality, and catharsis. The above psychological improvement method is, A psychological improvement method further comprising a step of analyzing the influence of the characteristics of the generated oriental painting image on the improvement of the psychological effect of the user based on the user's evaluation score for each of the evaluation items and the degree of psychological improvement effect for each of the psychological variables.

20. A computer program stored in a non-transitory computer readable storage medium, The computer program includes one or more instructions, which, when executed by a computing device having one or more processors, cause the computing device to: A step of generating a prompt for image generation based on user input or user profile information; A step of obtaining image mode information, inputting the image mode information and a prompt into a first neural network model to generate an oriental painting image, and displaying the image on the screen; and A computer program stored in a non-transitory computer-readable storage medium, which causes the step of measuring the psychological improvement effect of the user according to the creation of the above-mentioned oriental painting image to be performed.

Images