Psychological improvement device and method using oriental painting

Abstract

A psychological improvement device and method using Oriental painting are disclosed. A psychological improvement method according to one disclosed embodiment is a method performed in a computing device having 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 image generation based on user input or user profile information; inputting the prompt into a first neural network model to generate an Oriental painting image and displaying it on a screen; and measuring the psychological improvement effect of the user resulting from the generation of the Oriental painting image.

Description

Technology Field

[0001] An embodiment of the present invention relates to psychological improvement technology. Background Technology

[0003] Oriental painting refers to paintings from the East created using traditional materials and techniques. Among these, Korean painting is generally known to provide emotional comfort, expand the realm of the human mind, and reduce stress. Furthermore, Oriental painting is known to aid in cognitive function and the alleviation of depression and anxiety in the elderly. Meanwhile, with the recent development of generative AI models enabling the automatic generation of images, there is a need for methods to utilize generative AI models to generate Oriental paintings for psychological improvement. Prior art literature

[0005] Registered Patent Publication No. 10-1258978 (May 2, 2013) The problem to be solved

[0006] The embodiments of the present invention are intended to provide a psychological improvement device and method using Oriental painting that can improve the psychological state of a user. means of solving the problem

[0008] A psychological improvement device according to one disclosed embodiment comprises one or more processors and a memory for storing one or more programs executed by said one or more processors, and includes: a prompt generation module that generates a prompt for image generation based on user input or user profile information; an image generation module that acquires image mode information and inputs said image mode information and the prompt into a first neural network model to generate an Oriental painting image and display it on a screen; and a psychological effect measurement module that measures the psychological improvement effect of said user according to the generation of said Oriental painting image.

[0009] The above user profile information includes one or more of the user's gender, age, and occupation, and the above image mode information may include one or more of the style of Oriental painting, the type of Oriental painting, and the number of Oriental paintings to be generated by the first neural network model.

[0010] The above prompt generation module can set the prompt of the user by randomly extracting one from among the prompts used for image generation of other users having user profile information similar to the user's user profile information.

[0011] The above psychological effect measurement module can measure the psychological state of the user before and after the generation of the Oriental painting image with respect to the pre-set psychological variables, and measure the degree of psychological improvement effect for each of the said psychological variables.

[0012] The above psychological effect measurement module can extract psychological variables among the above-mentioned preset psychological variables in which the degree of psychological improvement effect is below a preset threshold value.

[0013] 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 in order to improve a psychological variable whose degree of psychological improvement effect is below a preset threshold value.

[0014] The prompt update module may include a second neural network model trained to output a prompt using the user's user profile information and a psychological variable whose degree of psychological improvement effect is below a preset threshold as input.

[0015] The above image generation module can input the updated prompt and image mode information into the first neural network model to regenerate an Oriental painting image.

[0016] The above psychological effect measurement module can obtain user evaluation scores for each pre-set evaluation item regarding the artwork characteristics of the generated Oriental painting image.

[0017] The above evaluation items include one or more of mimesis, imperfection, serendipity in a positive sense, quality, and catharsis, and the psychological effect measurement module can analyze the influence of the artwork characteristics of the generated Oriental painting image on the improvement of the user's psychological effect 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.

[0018] A psychological improvement method according to one disclosed embodiment is a method performed in a computing device having one or more processors and a memory storing one or more programs executed by said one or more processors, comprising: a step of generating a prompt for image generation based on user input or user profile information; a step of inputting said prompt into a first neural network model to generate an Oriental painting image and displaying it on a screen; and a step of measuring the psychological improvement effect of said user resulting from the generation of said Oriental painting image.

[0019] The step of generating the above prompt may be set as the user's prompt by randomly extracting from among the prompts used for image generation of other users having user profile information similar to the user's user profile information.

[0020] The step of measuring the psychological improvement effect may include measuring the user's psychological state before and after the generation of the Oriental painting image with respect to the pre-set psychological variables, and measuring the degree of psychological improvement effect for each of the psychological variables.

[0021] The step of measuring the psychological improvement effect may further include the step of extracting a psychological variable among the aforementioned pre-set psychological variables whose degree of psychological improvement effect is below a pre-set threshold value.

[0022] The above psychological improvement method may further include a step of updating a prompt to be input to the first neural network model to improve a psychological variable whose degree of psychological improvement effect is below a preset threshold value.

[0023] The step of updating the above prompt may include the step of inputting the user profile information of the user and the psychological variable whose degree of psychological improvement effect is below a preset threshold into a second neural network model to output the prompt.

[0024] The above psychological improvement method may further include the step of inputting the updated prompt and image mode information into the first neural network model to regenerate an Oriental painting image.

[0025] The above psychological improvement method may further include the step of obtaining user evaluation scores for each pre-set evaluation item regarding the characteristics of the artwork of the generated Oriental painting image.

[0026] The above evaluation items include one or more of mimesis, imperfection, serendipity in a positive sense, quality, and catharsis, and the psychological improvement method may further include a step of analyzing the influence of the artistic characteristics of the generated Oriental painting image on the improvement of the user's psychological effect 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. Effects of the invention

[0028] According to the disclosed embodiment, by allowing a user to generate an Oriental painting image through a psychological improvement device and displaying the generated 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. Brief explanation of the drawing

[0030] FIG. 1 is a block diagram showing the configuration of a psychological improvement device using Oriental painting according to an embodiment of the present invention. FIGS. 2 and FIGS. 3 are drawings respectively showing an ink painting and an ink wash painting generated in a first neural network model according to a prompt input in an embodiment of the present invention. FIG. 4 is a drawing showing a survey for measuring a user's psychological state in one embodiment of the present invention. FIG. 5 is a flowchart illustrating a method for improving psychological well-being using an Oriental painting image according to an embodiment of the present invention. FIG. 6 is a block diagram illustrating a computing environment including a computing device suitable for use in exemplary embodiments. Specific details for implementing the invention

[0031] 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, apparatuses, and / or systems described herein. However, this is merely illustrative and the present invention is not limited thereto.

[0032] In describing the embodiments of the present invention, detailed descriptions of known technologies related to the present invention are omitted if it is determined that such detailed descriptions may unnecessarily obscure the essence of the present invention. Furthermore, the terms described below are defined in consideration of their functions within the present invention, and these may vary depending on the intentions or practices of the user or operator. Therefore, such definitions should be based on the content throughout this specification. Terms used in the detailed description are intended merely to describe the embodiments of the present invention and should not be limiting in any way. Unless explicitly stated otherwise, expressions in the singular form include the meaning of the plural form. In this description, expressions such as "include" or "comprise" are intended to refer to certain characteristics, numbers, steps, actions, elements, parts thereof, or combinations thereof, and should not be interpreted to exclude the existence or possibility of one or more other characteristics, numbers, steps, actions, elements, parts thereof, or combinations thereof other than those described.

[0033] Additionally, terms such as "first," "second," etc., may be used to describe various components, but said components should not be limited by said terms. These terms may be used for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be named the second component, and similarly, the second component may be named the first component.

[0035] FIG. 1 is a block diagram showing the configuration of a psychological improvement device using Oriental painting according to one embodiment of the present invention.

[0036] 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).

[0037] 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 a person who wishes to improve their psychological state through the psychological improvement device (100). And, the prompt may be a command to be input into a neural network model for image generation described later.

[0038] 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 what image they want to generate.

[0039] Additionally, the prompt generation module (102) can generate a prompt for image generation based on the user's user profile information. The user profile information may be stored in advance. The user may sign up for a psychological improvement service through the psychological improvement device (100) and may enter user profile information when signing up. For example, the user profile information may include the user's gender, age, occupation, etc.

[0040] In one embodiment, the prompt generation module (102) can store prompts used for image generation by matching them with each user's user profile information. The prompt generation module (102) can randomly extract one prompt for image generation from among other users similar to the current user's user profile information (gender, age, occupation, etc.) and set it as the user's prompt.

[0041] 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 may include information regarding the style of the Oriental painting (painter's style), the type of Oriental painting (e.g., ink painting, ink and color painting, color painting, etc.), and the number of Oriental paintings to be generated by the first neural network model (104a) described later.

[0042] The image generation module (104) can generate an Oriental painting image based on 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 according to input prompt and image mode information.

[0043] The first neural network model (104a) can be trained using Oriental paintings (ink paintings, ink wash paintings, colored paintings, etc.) created by existing painters as training data. At this time, descriptions of the Oriental paintings (e.g., descriptions of what kind of paintings the Oriental paintings are) and the names of the painters of the Oriental paintings can be labeled and used to train the first neural network model (104a). The first neural network model (104a) can be trained to generate an Oriental painting image corresponding to the prompt and image mode information. Since the training process of the first neural network model (104a) is identical or similar to a previously disclosed image-generating artificial intelligence model, a detailed description thereof will be omitted.

[0044] When prompt and image mode information is input, the first neural network model (104a) can generate an Oriental painting corresponding to the prompt according to the style, type, and number included in the image mode information. FIGS. 2 and FIGS. 3 are drawings showing an ink painting and an ink color painting generated by the first neural network model (104a) according to the prompt input in an embodiment of the present invention, respectively.

[0045] Meanwhile, although it has been described here that image mode information is received from the user, it is not limited thereto and the image mode information may be pre-set. The image generation module (104) may acquire image mode information entered by the user or pre-set image mode information and input it into the first neural network model (104a) along with a prompt.

[0046] The image generation module (104) can display an Oriental painting image generated by the first neural network model (104a) on a screen so that the user can visually verify it. The image generation module (104) can match prompt and image mode information with the Oriental painting image generated by the first neural network model (104a) and store it in a database.

[0047] The psychological effect measurement module (106) can measure the psychological improvement effect of the user resulting from the generation of an Oriental painting image. That is, the psychological effect measurement module (106) can measure the improved psychological effect of the user as the user generates an Oriental painting image through the psychological improvement device (100) and visually checks the generated 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.

[0048] Specifically, the psychological effect measurement module (106) can measure the user's psychological state before the generation of the Oriental painting image and the user's psychological state after the generation of the Oriental painting image, respectively. In one embodiment, the psychological effect measurement module (106) can measure the user's psychological state through a survey before and after the generation of the Oriental painting image, respectively. The psychological effect measurement module (106) can display the survey on a screen and receive answers for each survey item from the user.

[0049] As illustrated in FIG. 4, the survey may include survey items for measuring psychological variables such as depression, worry and anxiety, well-being, stress, helplessness, despair, and unhappiness, but each item of the survey is merely an example and is not limited thereto. For each item, the user may be allowed to respond at multiple levels (e.g., very much so, so, neutral, sometimes so, not so).

[0050] The psychological effect measurement module (106) can measure the degree of improved psychological effect of the user for each of the pre-set 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 user's psychological state for each psychological variable before and after the creation of the Oriental painting. The psychological effect measurement module (106) can extract psychological variables among the pre-set psychological variables in which the degree of improved psychological effect of the user is below a pre-set threshold value.

[0051] Additionally, the psychological effect measurement module (106) can obtain user evaluations regarding 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 pre-set evaluation item regarding the characteristics of the generated Oriental painting image. The psychological effect measurement module (106) can obtain user evaluation scores through a survey regarding the pre-set evaluation items, but is not limited thereto. Here, evaluation items may include mimesis, imperfection, serendipity in a positive sense, quality, and catharsis.

[0052] Mimesis may be used to evaluate the degree to which the Oriental painting image generated by the first neural network model (104a) accurately imitates 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).

[0053] The psychological effect measurement module (106) can store the user's evaluation score for each evaluation item set for the characteristics of the Oriental painting image by matching it with the degree of the user's improved psychological effect for the set psychological variable. Through this, it is possible to verify the influence of the characteristics of the Oriental painting image generated by the first neural network model (104a) on the improvement of the user's psychological effect.

[0054] In one embodiment, the psychological effect measurement module (106) can determine to what extent the characteristics of the artwork of the Oriental painting image have an improvement effect on a specific psychological variable by analyzing the evaluation scores of users for each pre-set evaluation item and the degree of improvement of users for pre-set psychological variables for the Oriental painting image generated by the first neural network model (104a) over a certain period using multivariate statistical techniques.

[0055] Here, the image generation module (104) can retrain the first neural network model (104a) based on the evaluation scores of users for each pre-set evaluation item for the Oriental painting images generated by the first neural network model (104a) over a certain period. In one embodiment, the image generation module (104) can generate evaluation items for which the evaluation score for each pre-set evaluation item is less than a pre-set reference score. The image generation module (104) can retrain the first neural network model (104a) so that the characteristics of the artwork of the Oriental painting image according to the evaluation items for which the evaluation score is less than a pre-set reference score are improved.

[0056] The prompt update module (108) can update the prompt for image generation. If there is 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, 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.

[0057] In one embodiment, the prompt update module (108) can 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) can extract cases among other users similar to the user's user profile information in which the corresponding psychological variable (i.e., a psychological variable in which the degree of improved psychological effect is below a preset threshold) has improved, and can update the user's prompt based on the prompt used in the extracted cases.

[0058] 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 taking user profile information and psychological variables as inputs. The prompt update module (108) may input the user's user profile information and psychological variables, the degree of improved psychological effect being below a preset threshold, into the second neural network model (108a) after training is complete to output a prompt, and may use the output prompt as an updated prompt.

[0059] 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.

[0060] According to the disclosed embodiment, by allowing a user to generate an Oriental painting image through the psychological improvement device (100) and displaying the generated 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.

[0061] In this specification, the term "module" may refer to a functional and structural combination of hardware for carrying out the technical concept of the present invention and software for driving said hardware. For example, the "module" may refer to a logical unit of a specific code and a hardware resource for executing said code, and does not necessarily refer to physically connected code or a single type of hardware.

[0063] FIG. 5 is a flowchart illustrating a method for improving psychological well-being using an Oriental painting image according to an embodiment of the present invention. In the illustrated flowchart, the method is described by dividing it into multiple steps, but at least some of the steps may be performed in a different order, combined with other steps, omitted, divided into detailed steps, or performed with one or more steps not illustrated added.

[0064] Referring to FIG. 5, the psychological improvement device (100) can measure the user's pre-set psychological variables before generating an Oriental painting image (S 101). The pre-set psychological variables may include the user's depression, worry and anxiety, well-being, stress, helplessness, despair, and unhappiness.

[0065] Next, the psychological improvement device (100) can generate a prompt for image generation based on user input or user profile information (S 103). Next, the psychological improvement device (100) can receive image mode information from the user and input the previously generated prompt and image mode information into the first neural network model (104a) to generate an Oriental painting image (S 105).

[0066] Next, the psychological improvement device (100) displays the generated Oriental painting image on the screen and measures the user's pre-set psychological variables based on the user's visual appreciation of the Oriental painting image, thereby measuring the degree of the user's improved psychological effect for each psychological variable (S 107).

[0067] Next, the psychological improvement device (100) can check whether there is 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 (S 109).

[0068] If, as a result of checking S 109, there is a psychological variable in which the degree of improved psychological effect of the user is below a preset threshold value, the psychological improvement device (100) inputs the user's user profile information and the psychological variable in which the degree of improved psychological effect 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).

[0069] Next, the psychological improvement device (100) can input updated prompt and image mode information into the first neural network model (104a) to regenerate an Oriental painting image (S 113).

[0070] The psychological improvement device (100) can repeat the process from S 107 to S 113 until there are no psychological variables among the preset psychological variables in which the degree of improved psychological effect of the user is below a preset threshold value.

[0072] FIG. 6 is a block diagram illustrating a computing environment (10) including a computing device suitable for use in exemplary embodiments. In the illustrated embodiments, each component may have different functions and capabilities in addition to those described below, and may include additional components in addition to those described below.

[0073] 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.

[0074] The computing device (12) includes at least one processor (14), a computer-readable storage medium (16), and a communication bus (18). The processor (14) can cause the computing device (12) to operate according to the exemplary embodiment described above. For example, the processor (14) can 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, and the computer-executable instructions may be configured to cause the computing device (12) to perform operations according to the exemplary embodiment when executed by the processor (14).

[0075] 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 a processor (14). In one embodiment, the computer-readable storage medium (16) may be 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, or other forms of storage media that are accessed by a computing device (12) and capable of storing desired information, or a suitable combination thereof.

[0076] The communication bus (18) interconnects various other components of the computing device (12), including the processor (14) and the computer-readable storage medium (16).

[0077] The computing device (12) may also include one or more input / output interfaces (22) and one or more network communication interfaces (26) that provide interfaces for one or more input / output devices (24). The input / output interfaces (22) and network communication interfaces (26) are connected to a communication bus (18). The input / output devices (24) may be connected to other components of the computing device (12) through the input / output interfaces (22). An exemplary input / output device (24) may include an input device such as a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touchpad or touchscreen), a voice or sound input device, various types of sensor devices and / or imaging devices, and / or an output device such as a display device, a printer, a speaker and / or a network card. An exemplary input / output device (24) may be included inside the computing device (12) as a component constituting the computing device (12), or it may be connected to the computing device (12) as a separate device distinct from the computing device (12).

[0079] Although representative embodiments of the present invention have been described in detail above, those skilled in the art will understand that various modifications can be made to the above-described embodiments 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 by the claims set forth below as well as equivalents thereof. Explanation of the symbols

[0081] 10: Computing Environment 12: Computing device 14 : Processor 16: Computer-readable storage media 18: Communication bus 20 : Program 22 : Input / Output Interface 24 : Input / Output Devices 26: Network communication interface 100 : Psychological improvement device 102 : Prompt generation module 104 : Image generation module 104a: First Neural Network Model 106 : Psychological Effects Measurement Module 108 : Prompt Update Module 108a: Second Neural Network Model

Claims

Claim 1 A psychological improvement device comprising one or more processors and a memory for storing one or more programs executed by said one or more processors, the device comprising: a prompt generation module that generates a prompt for image generation based on user input or user profile information; an image generation module that acquires image mode information, inputs said image mode information and the prompt into a first neural network model to generate an Oriental painting image and displays it on a screen; and a psychological effect measurement module that measures the psychological improvement effect of said user according to the generation of said Oriental painting image. A psychological improvement device comprising a prompt update module that updates a prompt to be input to the first neural network model based on the psychological improvement effect described above, wherein the psychological effect measurement module measures the user's psychological state before the generation of the Oriental painting image and the user's psychological state after viewing the generated Oriental painting image displayed on the screen, respectively, for pre-set psychological variables, calculates the degree of psychological improvement effect for each of the psychological variables based on the change in psychological state before and after the generation of the Oriental painting image, extracts a psychological variable among the pre-set psychological variables whose degree of psychological improvement effect is below a pre-set threshold value, and the prompt update module updates a prompt to be input to the first neural network model based on the user profile information of the user and the extracted psychological variable in order to improve the psychological variable whose degree of psychological improvement effect is below the pre-set threshold value, and the image generation module inputs the updated prompt and the image mode information to the first neural network model to regenerate the Oriental painting image. Claim 2 A psychological improvement device according to claim 1, wherein the user profile information includes one or more of the user's gender, age, and occupation, and the image mode information includes one or more of the style of Oriental painting, the type of Oriental painting, and the number of Oriental paintings to be generated by the first neural network model. Claim 3 A psychological improvement device according to claim 2, wherein the prompt generation module randomly extracts from among the prompts used for generating images of other users having user profile information similar to the user's user profile information and sets as the user's prompt. Claim 4 delete Claim 5 delete Claim 6 delete Claim 7 A psychological improvement device according to claim 1, wherein the prompt update module comprises a second neural network model trained to output a prompt by inputting the user profile information of the user and a psychological variable in which the degree of psychological improvement effect is less than or equal to a preset threshold value. Claim 8 delete Claim 9 A psychological improvement device according to claim 1, wherein the psychological effect measurement module obtains user evaluation scores for each evaluation item pre-set for the characteristics of the artwork of the generated Oriental painting image. Claim 10 A psychological improvement device according to claim 9, wherein the evaluation items include one or more of mimesis, imperfection, serendipity in a good sense, quality, and catharsis, and the psychological effect measurement module analyzes the influence of the artwork characteristics of the generated Oriental painting image on the improvement of the user's psychological effect based on the user's evaluation score for each evaluation item and the degree of psychological improvement effect for each of the psychological variables. Claim 11 A method performed in a computing device having one or more processors and a memory storing one or more programs executed by said one or more processors, the method comprising: generating a prompt for image generation based on user input or user profile information; inputting said prompt into a first neural network model to generate an Oriental painting image and displaying it on a screen; and measuring the psychological improvement effect of said user resulting from the generation of said Oriental painting image. A method for psychological improvement, comprising the step of updating a prompt to be input to the first neural network model based on the psychological improvement effect described above, wherein the step of measuring the psychological improvement effect involves measuring, for each of the pre-set psychological variables, the user's psychological state before the generation of the Oriental painting image and the user's psychological state after viewing the generated Oriental painting image displayed on the screen, and calculating the degree of psychological improvement effect for each of the psychological variables based on the change in psychological state before and after the generation of the Oriental painting image, and extracting a psychological variable among the pre-set psychological variables whose degree of psychological improvement effect is below a pre-set threshold value, and the step of updating the prompt involves updating a prompt to be input to the first neural network model based on the user profile information of the user and the extracted psychological variable in order to improve the psychological variable whose degree of psychological improvement effect is below the pre-set threshold value, and the method further comprises the step of inputting the updated prompt and image mode information to the first neural network model to regenerate the Oriental painting image. Claim 12 A psychological improvement method according to claim 11, wherein the step of generating the prompt is to randomly extract from among the prompts used for generating images of other users having user profile information similar to the user's user profile information and set as the user's prompt. Claim 13 delete Claim 14 delete Claim 15 delete Claim 16 A psychological improvement method according to claim 11, wherein the step of updating the prompt comprises inputting the user profile information of the user and a psychological variable whose degree of psychological improvement effect is below a preset threshold value into a second neural network model to output the prompt. Claim 17 delete Claim 18 A psychological improvement method according to claim 11, wherein the psychological improvement method further comprises the step of obtaining a user's evaluation score for each evaluation item pre-set for the characteristics of the artwork of the generated Oriental painting image. Claim 19 A psychological improvement method according to claim 18, wherein the evaluation items include one or more of mimesis, imperfection, serendipity in a good sense, quality, and catharsis, and the psychological improvement method further includes the step of analyzing the influence of the characteristics of the generated Oriental painting image on the improvement of the user's psychological effect based on the user's evaluation score for each evaluation item and the degree of psychological improvement effect for each of the psychological variables. Claim 20 A computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises one or more instructions, and when the instructions are executed by a computing device having one or more processors, the computing device generates a prompt for image generation based on user input or user profile information; input the prompt into a first neural network model to generate an Oriental painting image and display it on a screen; and measure the psychological improvement effect of the user resulting from the generation of the Oriental painting image. A computer program stored on a non-transient computer-readable storage medium, wherein the step of updating a prompt to be input to the first neural network model based on the above psychological improvement effect is performed, and the step of measuring the psychological improvement effect is to measure, for each of the pre-set psychological variables, the user's psychological state before the generation of the Oriental painting image and the user's psychological state after viewing the generated Oriental painting image displayed on the screen, respectively, calculate the degree of psychological improvement effect for each of the psychological variables based on the change in psychological state before and after the generation of the Oriental painting image, and extract a psychological variable among the pre-set psychological variables whose degree of psychological improvement effect is below a pre-set threshold value, and the step of updating the prompt is to update a prompt to be input to the first neural network model based on the user profile information of the user and the extracted psychological variable in order to improve the psychological variable whose degree of psychological improvement effect is below the pre-set threshold value, and the computer program further performs the step of inputting the updated prompt and image mode information to the first neural network model to regenerate the Oriental painting image.

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