A system for providing mental health treatment services to alleviate psychological disorders.

Abstract

This invention relates to a system for providing mental health treatment services for the alleviation of depression and mental disorders. [Solution] The present invention is characterized by including a user terminal that includes a user input unit for user input and a display unit that displays the screen of an application that provides a mental health treatment service for the alleviation of depression and mental disorders, which is pre-installed.

Description

Technical Field

[0001] The present invention relates to a system for providing mental treatment services for the alleviation of depression and mental disorders.

Background Art

[0002] Depression is a mental disorder that frequently occurs in modern society and has a profound impact on an individual's emotional, physical, and social functions. Generally, as treatment methods for depression, drug therapy, psychotherapy, and behavioral therapy are utilized, and each method aims at alleviating symptoms and recovery. Drug therapy is performed by adjusting the balance of neurotransmitters in the brain with antidepressants, and psychotherapy organizes emotions and thoughts and strengthens problem-solving abilities through conversations with professional counselors. Behavioral therapy is a method of restoring physical vitality by improving lifestyle habits and increasing activities.

[0003] However, such treatment methods have their respective limitations. Drug therapy depends on the regulation of neurotransmitters, so there is a high possibility of side effects, and there is a risk of tolerance and dependence when taking drugs for a long time. Psychotherapy is often difficult to continue due to the burden of treatment costs and time constraints. Also, behavioral therapy requires the patient's voluntary participation and will, but patients with depression frequently have difficulty persevering through the treatment process due to reduced motivation and weakness. Due to such problems, existing treatment methods for depression have limited treatment effects and are limited in inducing the patient's spontaneous motivation for recovery.

Summary of the Invention

Problems to be Solved by the Invention

[0004] This invention provides a system for providing mental health treatment services to alleviate depression and mental disorders, overcoming the limitations of existing treatment methods and offering a systematic learning environment based on self-healing, enabling patients to find their own motivation for recovery. By providing learning content divided into mental and sexual parts, tailored to individual needs according to gender, it supports patients in understanding the principles of emotion and improving their emotional state through learning content suited to their situation. It creates an environment in which patients can actively participate in the treatment process by including a repetitive and systematic process based on daily learning data, such as practical exercises, emotion recording, and reflection writing. After the first learning session, the same curriculum is repeated. This system provides a mental health service for alleviating depression and psychological disorders by providing learning content while modifying the questions for creating feedback, thereby maximizing learning effectiveness, preventing patients from feeling bored, and enabling them to spend short periods each day on learning and practice tasks, thereby experiencing improved emotional state and psychological stability. Furthermore, by visually providing the learning effect at the end of the third learning session, patients can clearly recognize their recovery status and decide for themselves whether to continue learning or repeat the learning, thereby presenting a new self-healing-based method for treating depression and effectively solving the problems of existing treatment methods. [Means for solving the problem]

[0005] A system for providing mental health treatment services for the alleviation of depression and mental disorders according to one embodiment of the present invention, characterized in that it includes a user terminal equipped with a user input unit for user input and a display unit that displays the screen of an application that provides a pre-installed mental health treatment service for the alleviation of depression and mental disorders.

[0006] The system includes a server connected to the user terminal via a wired or wireless network, the server including a storage unit for storing data within the application, a communication unit for sending and receiving data with the user terminal, and a control unit for controlling the operation of at least one of the user terminal and the server, the control unit storing learning data divided into a heart part and a sex part, providing the learning data for the heart part and the sex part divided into male or female based on gender data input by the user in the same curriculum order, the control unit providing the learning data for the heart part divided into male or female according to the user's gender to the user terminal, the control unit providing the learning data for the sex part divided into male or female according to the user's gender to the user terminal after learning the heart part, the control unit providing the user with practical tasks that can be practiced in daily life, recording data via a user input unit that receives input on whether or not the practical tasks have been completed, and the control unit controlling the system to end the day's learning process by displaying an input screen on the user terminal to create an emotion record and impressions after the learning of the sex part learning data and the heart part learning data is completed.

[0007] The control unit defines 50 days' worth of pre-stored learning data for the heart part and sex part as the first session on a daily basis, and sequentially provides the learning data for the heart part and sex part. The control unit provides male or female content for the heart part and sex part according to the user's gender. Once the first learning session is completed, the control unit provides the same learning data for the second and third sessions. The control unit classifies the emotion records, learning responses, and practice task data entered by the user daily for each session and stores them in the storage unit. The control unit identifies the learning effect based on a comparison of the data stored for each session after each session is completed.

[0008] The control unit retrieves the question data used for the first impression creation from the storage unit, extracts the main syntax (SVO structure) that constitutes each question, changes the core words of the extracted main syntax to vocabulary that can be replaced with words from the synonym database, rearranges the word order based on the replaced words, or inserts adverbs, adjectives, or additional syntax to generate multiple question data to be used for the second impression creation, which are modified question data with altered sentence structures so that the same question can be recognized by the user in a different way. The control unit then performs a natural language similarity evaluation on the multiple question data and the question data used for the first impression creation, identifies questions below a preset critical value as the final transformed question data, and provides this to the user terminal.

[0009] The control unit collects emotional records, impressions, and data on whether or not the practical task was completed, entered by the user input unit, classifies this data based on the learning date and session number, and stores it in the storage unit. The control unit also identifies the response data for each session corresponding to the same question content, calculates the change in emotional state and the practical task completion rate, and outputs a warning message to the user terminal if at least one of the following occurs: a negative emotional state or failure to complete the practical task.

[0010] The control unit, after the completion of the third learning session, evaluates the user's learning progress based on the saved data, compares the emotion recording data from the first, second, and third sessions to calculate the progression of changes in the emotional state, identifies the practical task completion rate and response data consistency to quantitatively derive the user's learning effect, and, based on the analysis results of the learning effect, visualizes the progression of the user's emotional changes and the practical task completion rate in the form of graphs and summary text, and outputs them to the user terminal. [Effects of the Invention]

[0011] This system provides a systematic learning environment based on self-healing, enabling patients to find their own motivation for recovery. By providing learning content divided into psychological and sexual parts, tailored to each patient's gender, it supports patients in understanding the principles of emotions and improving their emotional state through learning content suited to their situation. It creates an environment in which patients can actively participate in the treatment process by including repetitive and systematic processes such as practical tasks, emotion recording, and reflection writing based on daily learning data. After the first learning session, the same curriculum is repeated, but with variations in the reflection writing questions, so that the learning content is recognized anew, maximizing the learning effect and preventing patients from feeling bored. By spending short periods each day on learning and practical tasks, patients can experience improvement in their emotional state and psychological stability. Furthermore, by visually providing the learning effect at the end of the third learning session, patients can clearly recognize their recovery status and decide for themselves whether to continue with additional learning or repeated learning. This system presents a new treatment method for depression based on self-healing, effectively solving the problems of existing treatment methods, and provides a mental health service system for alleviating depression and psychological disorders. [Brief explanation of the drawing]

[0012] [Figure 1] This diagram illustrates a schematic configuration of a system for providing mental health treatment services to alleviate depression and mental disorders, according to one embodiment of the present invention. [Figure 2] This diagram illustrates the specific configuration of a system for providing mental health treatment services to alleviate depression and mental disorders, according to one embodiment of the present invention. [Figure 3] This diagram illustrates the learning flow of a system for providing mental health treatment services to alleviate depression and mental disorders, according to one embodiment of the present invention. [Modes for carrying out the invention]

[0013] Embodiments of the present invention will be described in detail below with reference to the attached drawings. In the drawings, the same reference numerals or symbols refer to components that perform substantially the same function, and the size of each component in the drawings may be exaggerated for clarity and convenience of explanation. However, the technical idea of ​​the present invention and its core configuration and operation are not limited to the configurations or operations described in the following embodiments. When describing the present invention, if it is determined that a specific description of known technology or configuration related to the present invention may obscure the gist of the present invention, such detailed description will be omitted.

[0014] In embodiments of the present invention, terms including ordinal numbers, such as "first," "second," etc., are used solely for the purpose of distinguishing one component from other components, and singular expressions include plural expressions unless they have a clearly different meaning in context. Furthermore, in embodiments of the present invention, terms such as "composed of," "includes," and "have" should be understood as not pre-excluding the existence or possibility of adding one or more different features, numbers, steps, operations, components, parts, or combinations thereof. Furthermore, in embodiments of the present invention, a "module" or "part" performs at least one function or operation, can be realized by hardware or software, or by a combination of hardware and software, can be integrated into at least one module, and can be realized as at least one processor. Furthermore, in embodiments of the present invention, "at least one" of a plurality of elements refers not to all of the plurality of elements, but to each of the plurality of elements excluding the rest, or any combination thereof. Furthermore, "configured to" can be modified depending on the context to mean, for example, "suitable for," "having the capacity to," "designed to," "adapted to," "made to," or "capable of." "Configured to" does not necessarily mean that the hardware is "specifically designed to." Instead, in some situations, the expression "a device configured to" may mean that the device "can do" something together with other devices or components.For example, the syntax "a processor configured (or set up) to perform A, B, and C" may mean a dedicated processor for performing those operations (e.g., an embedded processor), or a generic-purpose processor (e.g., a CPU or application processor) capable of performing those operations by executing one or more software programs stored in a memory device.

[0015] Preferred embodiments of the present invention will be described in detail below with reference to the drawings. This description is intended to enable a person with ordinary skill in the art to easily implement the invention, and will not limit the technical idea or scope of the present invention.

[0016] Figure 1 is a schematic diagram illustrating the configuration of a system for providing mental health treatment services to alleviate depression and mental disorders according to one embodiment of the present invention. Figure 2 is a diagram illustrating the specific configuration of a system for providing mental health treatment services to alleviate depression and mental disorders according to one embodiment of the present invention. Figure 3 is a diagram illustrating the learning flow of a system for providing mental health treatment services to alleviate depression and mental disorders according to one embodiment of the present invention.

[0017] Referring to Figures 1 to 3, an embodiment of the present invention provides a mental health service provision system for the alleviation of depression and mental disorders, which includes a user terminal 100 equipped with a user input unit 110 for user input and a display unit 120 that displays the screen of an application that provides a pre-installed mental health service provision system for the alleviation of depression and mental disorders. It also includes a server 200 that is network-connected to the user terminal.

[0018] Depression and mental disorders, according to one embodiment of the present invention, comprehensively refer to conditions that negatively affect psychological, emotional, and social functioning. Depression includes major depressive disorders and is characterized by symptoms such as chronic sadness, helplessness, loss of interest, low self-esteem, sleep disturbances, difficulty concentrating, changes in appetite, and suicidal thoughts. Depression is distinguished from mood swings that occur temporarily in response to external stimuli and arises from the interaction of biological, psychological, and environmental factors.

[0019] Causes of depression include genetic factors, neurotransmitter imbalances, stress, trauma, chronic illness, social isolation, and economic hardship. Furthermore, the manifestation of depression can vary depending on age, sex, and individual personality traits. For example, in children and adolescents, it may manifest as behavioral changes such as poor academic performance, excessive behavior, and social isolation, while in adults, it may manifest as decreased work performance and interpersonal problems. In older adults, depressive symptoms associated with physical illness are frequently observed.

[0020] Psychological disorders include not only depression, but also anxiety disorders, bipolar disorder, obsessive-compulsive disorder, post-traumatic stress disorder (PTSD), panic disorder, social anxiety disorder, body dysmorphic disorder, and dissociative disorders. These psychological disorders not only cause psychological distress but also interfere with an individual's ability to perform social roles and daily life, leading to a serious decline in quality of life. Psychological disorders often do not arise from a single cause, but rather from a combination of biological factors (genetic predisposition, abnormalities in brain structure and function), psychological factors (personal experiences, personality, coping mechanisms), and environmental factors (social stress, economic pressure, family problems).

[0021] Depression and mental disorders are likely to become chronic or relapse if not treated and managed appropriately. In particular, mental disorders, if not recognized or treated in their early stages, can progress to a chronic state and negatively impact physical health. For example, depression is highly correlated with physical illnesses such as cardiovascular disease, diabetes, and weakened immune function. Furthermore, mental disorders can negatively affect family members and the surrounding community, extending beyond the individual to become a problem for the entire social system.

[0022] The depression and psychological disorders defined in the present invention include all states related to such psychological and emotional pain, and are not limited to specific diagnostic names or symptoms. Therefore, the present invention is applicable to individuals with various psychological pains, and has broad applicability without considering the severity, manifestation form of depression and psychological disorders, and personal environmental factors, etc. This aims to effectively relieve various forms of psychological pain by a new form of psychological treatment approach that can be used in parallel with existing treatment methods or independently.

[0023] The psychological treatment according to an embodiment of the present invention comprehensively means a concept including a method and process that are systematically designed to restore and positively improve an individual's psychological and emotional state. Psychological treatment can be applied to solve or relieve various psychological problems such as depression, anxiety, stress, obsessive-compulsive disorder, psychological trauma, etc. In this process, the goal is to understand the principle of emotions, improve negative emotional habits, and induce positive psychological changes.

[0024] Psychological treatment includes a self-healing-centered approach that is distinct from traditional psychological treatment and is based on the active participation of the treatment recipient. Psychological treatment analyzes the causes and operating principles of emotions in order to control or eliminate changes in emotions caused by external factors, and strengthens the ability to regulate emotions through practice and learning based on this. This focuses on enabling the recipient to objectively understand their emotions and positively transform negative emotions.

[0025] Psychological treatment includes learning content and practical tasks for emotion regulation, and is designed so that through a repeated process that combines learning and practice, the recipient gradually improves their emotional pattern. Specifically, psychological treatment can include the following elements.

[0026] First, it is a learning process to understand the basic principles and operating methods of emotions. This helps to understand how emotions are formed and amplified or suppressed by specific events or environments.

[0027] Secondly, it is a practical process of training oneself not to react emotionally in specific situations. For example, one may practice not reacting sensitively to the words and actions of others, or one may learn the technique of objectifying one's own emotions and detaching oneself from problematic situations.

[0028] Thirdly, it is a process of forming positive emotional habits through repeated learning and feedback. Repeated learning is carried out by providing the same learning content, but by modifying the sentence structure and expression so that the user recognizes it anew.

[0029] In addition to learning and practice, mental health treatment can include a stage of recording and analyzing various emotional events that occur in daily life. This allows the individual to understand the situations in which they experience negative emotions, recognize patterns of recurring problems, and learn how to cope with them.

[0030] The mental therapy defined in one embodiment of the present invention is not limited to specific treatment methods or techniques, but includes all processes that lead to psychological stability by improving emotional regulation abilities. This is a broad concept applicable regardless of the subject's gender, age, cultural background, or the severity of their psychological state. The mental therapy of the present invention can be carried out in parallel with or independently of existing drug therapy and psychological counseling, and aims to maximize the self-healing effect based on the subject's active participation and continuous learning. This provides an innovative therapeutic approach that helps individuals regulate their emotions and resolve psychological problems themselves.

[0031] An application according to one embodiment of the present invention comprehensively refers to software installed on a user's terminal that provides various functions for alleviating depression and mental disorders. The application consists of a system that interacts with the user and comprehensively manages a series of processes including providing learning content, performing practical tasks, recording emotions, and providing feedback.

[0032] The application provides personalized content based on user input data to create a user-specific therapeutic environment. It receives and analyzes information such as gender, age, basic emotional state, and psychological characteristics from the user, and then proposes personalized learning content and practice exercises based on the analysis results. For example, learning content consisting of a mental health section and a gender section is provided separately for males and females, respectively, according to the user's gender, providing a more suitable learning environment for the user.

[0033] This application can include the following key features:

[0034] Firstly, there is the learning content provision function. The learning content for the mind and sexuality sections each consists of 50 days' worth of content, with one piece of content provided sequentially each day. Users can learn about this content through the application and understand and improve their own emotions by answering the questions included in the content.

[0035] Secondly, there is a function for suggesting and managing practical tasks. Based on what the user has learned, practical tasks that can be performed in daily life are suggested, and the user can input and manage whether or not they have completed the practical tasks through the application. The content of the practical tasks may differ depending on the user's gender, and the difficulty level can be adjusted according to the user's psychological state.

[0036] Thirdly, there is the emotion recording and feedback creation function. Users can record their emotional state daily and create feedback on learning and practice tasks. The created data is stored in the application's storage section and subsequently used as basic data for data analysis and feedback provision.

[0037] Fourthly, there is the data analysis and feedback provision function. The application analyzes saved emotion records, practical task performance data, and learning response data to derive the user's emotional changes over time and learning effectiveness. The analysis results are provided to the user in the form of graphs and summarized text, helping the user intuitively understand their own state.

[0038] This application is designed to be easily accessible to everyone through an intuitive and user-friendly interface. Users can utilize the application's functions without complex procedures, with each process automated and systematically supporting the user's learning and treatment process. For example, learning content and practice exercises are provided automatically, and appropriate feedback is immediately provided based on user input data.

[0039] Furthermore, the application is designed based on repeated learning. Once the first learning session is completed, the same learning content is provided again for the second and third sessions. Questions included in the feedback are presented with modified vocabulary and sentence structure, allowing users to re-recognize the material through repeated learning. This maximizes the learning effect and is designed to allow users to continue participating in the learning process without becoming bored.

[0040] An application based on one embodiment of the present invention is not limited to a specific platform or device, and can operate on various digital devices such as mobile devices, tablets, and desktops. It also works in conjunction with a cloud server to stably store and manage data, and supports data backup and restoration. This allows the application to provide an environment where users can check their status and progress through their learning process anytime, anywhere.

[0041] This application can be used in conjunction with or independently of existing treatments for depression, aiming to maximize self-healing effects by encouraging active user participation. It proposes an innovative software system that helps improve emotional state and promote psychological stability by providing users with a systematic and repeatable learning environment.

[0042] A user terminal 100 according to one embodiment of the present invention includes, but is not limited to, a personal computer, a server computer, a handheld or laptop device, a mobile device (such as a mobile phone, PDA, or media player), a multiprocessor system, a consumer electronic device, a minicomputer, a mainframe computer, distributed computing including any of the above-mentioned systems or devices, and an edge computing environment that processes data at the edge where the data originates, rather than on a central server.

[0043] The user terminal 100 may include at least one processor and memory. Here, the processor may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), and may have multiple cores.

[0044] The memory may be volatile memory (e.g., RAM), non-volatile memory (e.g., ROM, flash memory), or a combination thereof. The user terminal 100 may also include additional storage. Storage includes, but is not limited to, magnetic storage, optical storage, etc. The storage may store computer-readable instructions for implementing one or more embodiments disclosed herein, and may also store other computer-readable instructions for implementing operating systems, application programs, etc. Computer-readable instructions stored in storage can be loaded into memory for execution by the processor.

[0045] Furthermore, the user terminal 100 may include a user input unit 110 and an output device. The user input unit 110 may include, for example, a keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, or any other input device. The output device may include, for example, one or more displays, speakers, printers, or any other output devices. The computing device may also use an input device or output device provided in another computing device as the user input unit 110 or output device. The computing device may also include a communication module that enables the computing device to communicate with other devices. Here, the communication module may include a modem, network interface card (NIC), integrated network interface, radio frequency transmitter / receiver, infrared port, USB connection, or other interface for connecting the computing device to other computing devices. The communication module may include a wired connection or a wireless connection.

[0046] Each component of the user terminal 100 may be connected by various interconnections such as buses (e.g., peripheral component interconnection (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.) or by a network. In this specification, terms such as "component" and "system" generally refer to computer-related NTT components, hardware, hardware-and-software combinations, software, or running software.

[0047] A user terminal 100 according to one embodiment of the present invention may include a display unit 120. The display unit 120 is not limited to any particular method of realizing the display and can be realized using various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface conduction electron-emitter, carbon nanotube, and nano-crystal. In the case of a liquid crystal display, the display unit 120 includes a liquid crystal display panel, a backlight unit that supplies light to the liquid crystal display panel, and a panel drive unit that drives the liquid crystal display panel. On the other hand, the display unit 120 can be realized using an OLED panel, which is a self-emissive element, without a backlight unit.

[0048] A server 200 according to one embodiment of the present invention may include a communication unit 210, a storage unit 220, and a control unit 230.

[0049] A communication unit 210 according to one embodiment of the present invention can communicate with a user terminal 100 or other external electronic devices via a wired or wireless communication method. Therefore, in addition to a connection unit that includes a connector or terminal for wired connection, it can also be implemented using various other communication methods. For example, it can be configured to perform one or more communications from among Wi-Fi, Bluetooth®, Zigbee, infrared communication, Radio Control, UWM (Ultra-Wide Band), Wireless USB, and NFC (Near Field Communication). The communication unit 210 can include communication modules such as BLE (Bluetooth Low Energy), SPP (Serial Port Profile), Wi-Fi Direct, infrared communication, Zigbee, and NFC (Near Field Communication). Furthermore, the communication unit 210 can be implemented in the form of a Device, S / W module, Circuit, Chip, etc.

[0050] The communication unit 210 according to one embodiment of the present invention may include the various communication modules described above, but may also include an IoT communication module having an IoT network for each communication company, and the IoT communication module may mean all IoT communication networks in which multiple things having individual communication units 210 are connected via a network and enable services based on various platforms. By using such an IoT communication module, a smoother communication network can be provided within a defined area.

[0051] A storage unit 220 according to one embodiment of the present invention can receive information from a user terminal 100 via a communication unit 210 or from an external search platform and store it, and can receive and store text information and image information contained in multiple web pages received by the control unit 230. The storage unit 220 can store various types of data according to the processing and control of the control unit 230 described later. The storage unit 220 can be accessed by the control unit 230, and data can be read, recorded, modified, deleted, updated, etc. The storage unit 220 may include non-volatile memory such as flash memory, hard disk drive, or SSD (solid-state drive) so that data can be stored regardless of whether system power is supplied to the server 200. The storage unit 220 may also include volatile memory such as a buffer or RAM for temporary loading of data processed by the control unit 230.

[0052] A control unit 230 according to one embodiment of the present invention can control the operation of the various components of the server 200. The control unit 230 may include a control program (or instructions) for performing such control operations, an inert memory on which the control program is installed, a volatile memory on which at least a portion of the installed control program is loaded, and at least one processor or CPU (Central Processing Unit) for executing the loaded control program. Furthermore, such a control program can be stored in an external electronic device other than the server 200.

[0053] The control program may include a program implemented in at least one form from among a BIOS, device driver, operating system, firmware, platform, and application program. In one embodiment, the application program may be pre-installed or stored in the server 200 at the time of manufacturing, or it may be installed in the server 200 based on data received from an external source when the server is used thereafter. The application program data may, but is not limited to, downloading the platform according to the present invention from an external server such as an application marketplace to the server 200. On the other hand, the control unit 230 may be implemented in the form of a device, S / W module, circuit, chip, or a combination thereof.

[0054] A control unit according to one embodiment of the present invention stores learning data divided into a cardiac part and a sexual part, and based on the gender data entered by the user, divides the learning data of the cardiac part and the sexual part into male or female, and provides them in the same curriculum order.

[0055] A control unit according to one embodiment of the present invention is configured to store learning data divided into a cardiac part and a sexual part, and to divide the learning data of the cardiac part and the sexual part into male or female based on gender data entered by the user, and to provide them in the same curriculum order. The control unit may consist of a storage unit for storing learning data, a data analysis module for processing user input data entered from the user terminal, a communication module for transferring learning content to the user terminal, and an execution module for sequentially providing learning content and controlling the learning process based on user input data.

[0056] The control unit first receives initial information from the user, including gender data. The gender data entered by the user is processed by the control unit's data analysis module and used as a criterion for selecting learning data suitable for the user. For example, the mind part and the gender part are structured in the same curriculum order, but each piece of content is stored in a form divided for males or females. The mind part consists of content to improve emotional regulation and self-awareness, and depending on gender, the male content is designed to emphasize objectivity and analytical ability in emotional expression, while the female content is designed to emphasize positive emotional transformation and psychological stability. The gender part includes content related to relationships, gender awareness, and self-development, and the male content focuses on healthy management of sexual energy and forming positive social relationships, while the female content is designed to strengthen self-esteem and relationship-restoring skills.

[0057] The control unit executes a curriculum management algorithm to sequentially provide learning content based on the user's gender data. For example, if 50 days of learning data for both the mind and sex sections are stored, the control unit checks the learning progress and provides the male-oriented content for the mind section on the first day, followed by the male-oriented content for the sex section as the second learning stage on the same day. Once the learning process is complete, the control unit guides the user through the user input section to record whether or not they have completed the practical tasks, and controls the process to lead to the emotion recording and reflection creation stages. The control unit is designed so that learning content, practical tasks, emotion recording, and reflection creation are performed in a predetermined order, providing an environment where the user can conveniently input and review data throughout the learning process.

[0058] Furthermore, the control unit manages to ensure that learning content is provided in the same curriculum order. Once the user completes the first learning session, the control unit provides the same learning data again for the second and third sessions, but it transforms the sentence structure and vocabulary of the existing question data for the feedback questions, controlling the user to remain immersed in the learning process even during repeated sessions. To this end, the control unit utilizes a grammar analysis algorithm and a synonym substitution module to transform the existing question data, and if the transformed question data is identified as semantically similar to the existing question but with a different expression, it is provided as the final data.

[0059] A control unit according to one embodiment of the present invention not only provides learning content but also includes the ability to store user data, analyze it to track the effectiveness of the learning process, and provide feedback. In the process of providing male or female content based on gender data entered by the user, the same curriculum sequence is maintained, ensuring consistency in the user experience and maximizing learning effectiveness by providing individualized learning content tailored to each gender. Such a structure can complement the limitations of existing methods of mental health treatment and help maximize the effectiveness of repeated learning in a self-study environment.

[0060] A control unit according to one embodiment of the present invention can provide learning data for the heart part to the user terminal, divided into male or female according to the user's gender, and provide learning data for the sex part to the user terminal after learning the heart part, provide the user with practical tasks that can be practiced in daily life, record data via a user input unit that receives input on whether or not the practical tasks have been completed, and after learning the learning data for the sex part and the learning data for the heart part is completed, display an input screen on the user terminal to create an emotion record and impressions, and control the system to complete the day's learning process.

[0061] A control unit according to one embodiment of the present invention is configured to provide learning data for the heart part to the user terminal, divided into male or female according to the user's gender, and learning data for the sex part, divided into male or female according to the user's gender, and after learning the heart part, to the user terminal, provide the user with practical tasks that can be practiced in daily life, record data via a user input unit that receives input on whether or not the practical tasks have been completed, and after learning the learning data for the sex part and the learning data for the heart part is completed, display an input screen on the user terminal to create an emotion record and impressions, and control the system to complete the day's learning process.

[0062] The control unit first receives initial information from the user, including gender data, and stores it in the storage unit. Based on this, it classifies and manages learning content for the mind and gender parts. For example, the mind part consists of content focused on emotional regulation and emotional stability. Depending on gender, male content includes content that strengthens logical analysis and coping techniques for emotions, while female content is designed in a way that induces positive emotional transformation and psychological stability. The gender part focuses on relationship management and improving self-awareness. Male content includes content that focuses on social role performance and sexual energy management, while female content focuses on self-respect and relationship restoration.

[0063] The control unit controls the delivery of learning content in sequence, and the daily learning process consists of the following stages.

[0064] Firstly, learning data for the emotional aspect is provided to the user's device, and this data is divided into male-oriented or female-oriented content depending on the user's gender. For example, male users are provided with learning content that analyzes the causes of emotions in specific situations and helps them find ways to cope, while female users are provided with learning content that alleviates emotional stress and strengthens self-esteem.

[0065] Secondly, once the learning of the mind section is complete, the control unit provides the learning data for the sex section to the user terminal. The learning data for the sex section is also divided according to the user's gender, into male or female sections. Male users are provided with content that includes specific practical methods for positively transforming sexual energy, while female users are provided with learning content that focuses on improving self-esteem and social relationships.

[0066] Thirdly, after the learning phase is complete, the control unit proposes practical daily life tasks to the user. For example, to allow the user to apply the emotion regulation techniques learned in the emotional part of the learning to their daily life, practical tasks such as "dealing logically with others' words without reacting emotionally" may be provided. In the emotional part, specific and actionable tasks such as "try to find positive intentions in what others say" or "record and analyze your own emotions in text" may be proposed.

[0067] Fourthly, the control unit receives input via the user input unit indicating whether or not the user has completed the practical task, and records this data in the storage unit. The input data is used to analyze the user's completion rate of the practical task and to evaluate the learning effect. The practical task data is stored by date and subsequently used as supporting data for analyzing the progression of emotional changes.

[0068] Finally, as the final stage of the day's learning process, the control unit displays an emotion recording and feedback creation screen on the user's terminal. The emotion recording screen guides the user to specifically record the emotional states they experienced throughout the day, while the feedback creation screen prompts them to create feedback based on the learning content and their experience performing the practical tasks. For example, questions such as "Please write about the most memorable aspect of what you learned today" or "What did you feel while performing today's practical tasks?" may be provided.

[0069] The control unit automates all of these processes, and is designed so that each stage is carried out in a systematic and repeatable manner. Users can naturally participate in the learning process through the application, gradually improving their emotional state by creating practice tasks and emotional records. The control unit's operations, including providing personalized content based on the user's gender, managing the completion of practice tasks, and recording and providing feedback on emotional states, all help to maximize learning effectiveness.

[0070] A control unit according to one embodiment of the present invention defines 50 days' worth of pre-stored learning data for the cardiac and sexual parts as the first session on a daily basis, and sequentially provides the learning data for the cardiac and sexual parts. The control unit tracks the user's learning progress, provides learning content on a daily basis, and controls the consumption of each learning data in order. The control unit structures and stores the learning data in a storage unit and manages it so that each data can be identified according to the date and session number.

[0071] The control unit first provides learning data for the mental part of the daily learning process, and this data includes content related to emotion regulation, self-understanding, and stress reduction. For example, the learning data for the mental part may include questions and learning activities such as, "Record the main emotions you felt today and analyze the causes of those emotions." After the user consumes this learning data, the control unit then provides learning data for the sexual part, which includes content such as relationship management, self-efficacy enhancement, and improvement of social interaction. The learning data for the sexual part may consist of activities such as, "Record what you felt during your conversation with someone today and think about how you can improve your conversations."

[0072] When a day's learning process is completed, the control unit records that the learning data has been completed and prepares the learning data to be provided the following day. To this end, the control unit indexes the learning data stored in the storage unit by date and updates the user's learning progress in real time. If the user does not complete the learning data for the heart and sex sections, the control unit can be set to provide the learning data from the previous stage again. This is to ensure consistent curriculum progress even if the user skips or interrupts the learning process.

[0073] Furthermore, the control unit manages the order of each learning data through a fixed curriculum to ensure that learning content is efficiently delivered to the user. Learning for the psychological part is always provided before learning for the sexual part, and the learning content is controlled to be delivered to the user terminal in a timely manner while maintaining a fixed order. For example, the first data for the psychological part begins with questions that help with emotion recognition, and the first data for the sexual part leads to a simple interpersonal relationship analysis activity. In this way, the control unit maintains consistency and efficiency in the learning process.

[0074] The control unit manages the learning data in 50-day increments, and once the first learning cycle is complete, it provides the same learning data for the second and third cycles. To allow users to approach the same learning content from a new perspective during repeated learning, the control unit can transform the vocabulary and sentence structure of existing learning questions when providing the repeated learning data to the user's terminal. For example, if the first time the question was "Write down how you felt today," the second time the question would be transformed into something like "Record how you felt throughout the day." This prevents users from feeling bored during repeated learning and maximizes the learning effect.

[0075] The control unit according to one embodiment of the present invention is designed not only to provide learning data but also to monitor the learning progress in real time, prevent data gaps or interruptions, and optimize the user's learning experience. This allows the user to experience emotional regulation and self-development in a systematic and repetitive learning environment.

[0076] A control unit according to one embodiment of the present invention provides learning content by dividing the content into male or female versions for the emotional and sexual parts according to the user's gender, and after the first learning session is completed, the control unit provides the same learning data repeatedly for the second and third sessions, the control unit classifies the emotional records, learning responses, and practice task data entered by the user daily for each session and stores them in the storage unit, and after each session is completed, the control unit identifies the learning effect based on a comparison of the data stored for each session.

[0077] A control unit according to one embodiment of the present invention provides male or female-specific learning content for the emotional and sexual parts, corresponding to the user's gender. Once the first learning session is completed, the same learning data is provided repeatedly for the second and third sessions. During the process of providing the learning content, the control unit collects emotional records, learning responses, and practice task data entered by the user daily. After classifying each data session, it records them in the storage unit. Such data records are used as basic data for tracking learning progress and analyzing learning effectiveness.

[0078] When providing the first learning session, the control unit sequentially provides learning content for the mind and gender parts, and selects appropriate learning data by dividing the content into male and female content according to the user's gender. For example, the male content for the mind part consists mainly of logical analysis of emotions and coping strategies, while the female content includes content that induces self-affirmation and psychological stability. In the case of the gender part, the male content includes stress management and social role performance techniques, while the female content includes techniques for relationship restoration and strengthening self-esteem.

[0079] After the first learning cycle is complete, the control unit provides the same learning data repeatedly for the second and third cycles. In this process, the control unit transforms the question data included in the feedback to prevent the user from becoming accustomed to or bored with the learning content as it is repeated. For example, if the first cycle was presented with the question, "Please write down the emotions you felt today," the second cycle would present a transformed question such as, "Please record the mood you experienced throughout the day today." Such transformations are performed via a grammar analysis module and a synonym substitution algorithm within the control unit, which evaluate the similarity of each question and select the final transformed data.

[0080] The control unit records data collected during each learning session in the storage unit, classifying and managing it by date and session, including emotional records, learning responses, and whether or not practical tasks were completed. The stored data is used as analytical material to evaluate learning effectiveness. At the end of each session, the control unit compares the stored data to identify learning effectiveness. For example, it compares emotional record data from the first and second sessions to analyze the changes in the user's emotional state and evaluates the user's level of participation based on the practical task completion rate. Learning effectiveness is quantitatively derived using indicators such as the degree of improvement in emotional state, consistency of response data, and whether or not the practical task completion rate has increased.

[0081] Based on these analysis results, the control unit can provide feedback to the user. For example, if the change in emotional state is minimal in a particular session, or if the performance rate on the practical task is low, the control unit can output additional learning guidance or motivational messages to the user's terminal. Conversely, if the learning effect is clearly evident, the control unit can provide positive feedback to encourage the user to continue learning.

[0082] The control unit according to one embodiment of the present invention is designed to maximize the efficiency of repeated learning by not merely reusing content during the repeated delivery process of learning content, but by analyzing the effectiveness and providing feedback based on the user's learning data. As a result, users can recognize their progress during the learning process and achieve psychological stability and self-improvement.

[0083] A control unit according to one embodiment of the present invention retrieves the question data used for the first impression creation from the storage unit, extracts the main syntax (SVO structure) that constitutes each question, replaces the core words in the extracted main syntax with vocabulary that can be replaced with words from the synonym database, and, based on the replaced words, rearranges the word order or inserts adverbs, adjectives, or additional syntax to generate multiple question data to be used for the second impression creation, with the sentence structure of the question data used for the first impression creation modified so that the same question is recognized by the user in a different way.

[0084] According to one embodiment of the present invention, the control unit retrieves the question data used for the first impression creation from the storage unit, then analyzes the main syntax (SVO structure) that constitutes each question, and extracts core elements such as subject, predicate, and object. The extracted main syntax is used as basic data for text conversion, and based on this, the control unit transforms the question data so that it conveys the same meaning to the user but is recognized in a new way.

[0085] The control unit first analyzes the main components of the question data and replaces the extracted core words with alternative vocabulary using a synonym database. For example, if the data includes the question "Please write about how you felt today," which was used for the first time, the control unit identifies the core words and syntax as "feelings," "write," and "today, day." Of these, "feelings" can be replaced with "mood" or "feeling" via the synonym database, and "write" can be replaced with "record." The alternative words are selected considering priority and contextual relevance within the database.

[0086] Based on the substituted words, the control unit rearranges the word order of the question or inserts adverbs, adjectives, or additional sentence structures to generate transformed question data. For example, the question "Write about your feelings today" may, through the transformation process, be presented in a form such as "Please specifically record how you felt today." The transformed sentence is designed to be grammatically correct and maintain the same meaning as the original question, while still being recognized by the user as a new sentence.

[0087] The control unit runs a natural language similarity evaluation algorithm to evaluate the transformed question data. It calculates the semantic similarity between the transformed question data and the original question data, and ultimately selects only those questions with low similarity (e.g., below a set critical value). Questions with high similarity are excluded from the transformed data, and the final transformed question data is ready to be provided to the user. For example, "Write about your feelings for today" and "Record how you felt throughout today" are identified as new data because their similarity is below the critical value.

[0088] The final generated set of question data is provided to the user terminal, allowing the user to create feedback for the second time without recognizing the questions as the same as the previous time, thus enabling new learning. The control unit records the transformed question data in the storage unit, manages it to prevent the same transformation process from being repeated, and subsequently assists in generating new sentences based on the transformed question data during repeated learning phases.

[0089] The operation of the control unit in this embodiment maintains learning effectiveness throughout the repeated learning process by transforming question data, providing users with an environment in which they can remain immersed and not lose interest in repeated learning. Furthermore, the transformed question data is designed to have the same meaning as the existing questions while being recognized in a new form, simultaneously ensuring the effective use of learning content and an improved user experience. As a result, the control unit efficiently manages the process of repeatedly providing learning data and supports a user-individualized learning environment.

[0090] A control unit according to one embodiment of the present invention performs a natural language similarity evaluation on the plurality of question data and the question data used for creating the first impression, identifies questions below a preset critical value as the final converted question data, and provides this to the user terminal.

[0091] A control unit according to one embodiment of the present invention executes a natural language similarity evaluation algorithm to compare and analyze multiple question data sets with the question data used to generate the first set of impressions. Natural language similarity evaluation is a process for calculating the semantic similarity of each question data set. The control unit tokenizes the question data, vectorizes each word using word embedding techniques, and measures the similarity. This selects the optimal transformed data so that the generated question data does not become excessively similar to the existing question data.

[0092] The control unit can utilize machine learning-based algorithms such as Cosine Similarity, Jaccard Index, or Sentence BERT to calculate the similarity of question data. For example, when measuring the similarity between existing question data, "Please write down the emotions you felt today," and transformed question data, "Please record how you felt throughout the day," if the semantic similarity of the two sentences is evaluated to be below a critical value (e.g., 80%), the transformed question data is identified as the final transformed question data.

[0093] The control unit removes data exceeding a preset critical value based on the similarity evaluation results from the converted data. For example, the two sentences "Please write about your feelings today" and "Please record the feelings you experienced today" have a high degree of similarity in sentence structure and expression, and may be recognized as the same question; therefore, this data is removed from the final question data. On the other hand, "Please write specifically about how you felt today" has a low degree of similarity and can be identified as the final converted question data.

[0094] The final converted question data is provided to the user terminal and displayed as a new question when the user creates their feedback. Before providing the final converted question data to the user terminal, the control unit records the data in the storage unit to prevent the same data from being converted repeatedly. This helps prevent duplication of conversion work in subsequent iterations and improves the efficiency of managing the learning data.

[0095] Furthermore, when the control unit provides the final converted question data to the user terminal, it records the evaluation results in log data to ensure that the converted questions have the same meaning as the existing questions and are expressed in a different form. This data can be used to improve the learning content and train additional conversion algorithms. For example, the performance of the question data conversion algorithm can be adjusted based on user feedback, or new synonyms and sentence structures can be added to the training data.

[0096] The natural language similarity evaluation by the control unit in this embodiment helps users recognize questions in new ways during the repeated delivery process of learning content, creating an environment that maximizes learning effectiveness while maintaining immersion in repeated learning. This allows the control unit to efficiently manage the learning content conversion process and improve the user experience.

[0097] A control unit according to one embodiment of the present invention collects data on emotional records, impressions, and whether or not the practical task was completed, which are entered via the user input unit. This data is then classified based on the learning date and session number, and stored in the storage unit.

[0098] A control unit according to one embodiment of the present invention is configured to collect emotional records, impressions, and data on whether or not practical tasks were completed, entered via the user input unit, classify this data based on the learning date and session number, and store it in the storage unit. The control unit categorizes each data item in order to systematically manage the data entered by the user every day, and the stored data is used as basic material for learning effectiveness analysis and providing feedback.

[0099] The control unit first collects emotion record data, converts the user-generated content into text data, and provides the learning date and session number information as metadata. For example, if a user enters a record stating, "I felt a lot of positive emotions today," the control unit records this in the storage unit along with the learning date and session number information. This data is then used to analyze the progression of the user's emotions or to evaluate the learning effect.

[0100] In the case of feedback data, the control unit guides the user to input points they felt during the learning process, points they learned, and areas that need improvement, and saves this information in text format. For example, if a user inputs feedback such as "The emotion regulation method I learned today was actually useful," the control unit classifies this data by date and records it in the storage unit. Since feedback data reflects what users feel about the learning content, it can be usefully used to improve future learning content or to analyze the user's learning effectiveness.

[0101] Data on whether or not a practical task has been completed is managed at the stage of collecting data that records whether or not the user has completed the practical task performed each day. The control unit classifies the results of the practical task entered by the user into states such as "completed," "incomplete," or "partially completed," and records the input data for each state in the storage unit. For example, if a user enters, "Today, I tried not to react emotionally to what others said, but I failed in some situations," the control unit classifies this as partially completed and saves it. Such data is used as important material for analyzing the user's practical task completion rate.

[0102] The control unit stores the input data based on the learning date and session number, enabling independent analysis of data for each session even when the user repeatedly studies the same learning content. For example, if the same practice task is recorded as "completed" the first time but as "incomplete" the second time, the control unit can compare and analyze this data to understand the user's progress in completing the practice task.

[0103] After recording the collected data in the storage unit, the control unit can provide personalized feedback to the user based on the data categorized by item. For example, if the frequency of negative emotions increases in the user's emotion record data, the control unit can output a personalized message to the user terminal such as, "Your emotional state has recently changed negatively. Try applying the emotion regulation method you learned last time again." On the other hand, if the practical task completion rate is high, the control unit can provide positive feedback such as, "Continuing to perform the practical task has had a positive effect on improving your emotional state."

[0104] The control unit according to this embodiment systematically stores and manages user input data by date and session number, and by analyzing the learning effect or providing feedback based on the stored data, it can optimize the user's learning experience and support psychological improvement. As a result, the user is provided with an environment in which they can clearly recognize their learning progress and actively participate in the learning process.

[0105] A control unit according to one embodiment of the present invention identifies the response data for each session corresponding to the same question content, calculates the progression of changes in emotional state and the rate of completion of the practical task, and outputs a warning message to the user terminal if at least one of the following occurs: a negative emotional state or failure to complete the practical task.

[0106] A control unit according to one embodiment of the present invention identifies the response data for each session corresponding to the same question content and calculates the progression of changes in emotional state and the practical task completion rate based on this data. The control unit compares and analyzes the session-by-session response data recorded in the storage unit to derive the direction of change in the user's emotional state and quantitatively calculates the practical task completion rate. This evaluates the user's learning effect and level of participation, and the system is configured to output a warning message to the user terminal if at least one of the following occurs: a negative emotional state or failure to complete the practical task.

[0107] The control unit compares the response data entered by the user in each instance to the same question in order to analyze the progression of changes in emotional state. For example, if the user is asked, "Please write down how you felt today," and the first response is "I felt mostly positive," and the second response is "I had mostly negative thoughts," the control unit compares these and identifies that the emotional state has changed for the worse. Such changes can be analyzed over time based on the data from each instance to derive an overall trend in emotional state.

[0108] The practical task completion rate is calculated based on data showing whether or not the user completed the practical tasks they entered. The control unit records the status of each practical task provided for each session, such as "completed," "incomplete," or "partially completed," and calculates the practical task completion rate by dividing this by the total number of practical tasks provided. For example, if 6 out of 10 practical tasks are recorded as "completed," the practical task completion rate is calculated to be 60%.

[0109] The control unit outputs a warning message to the user if the emotional state analysis results and the practical task completion rate do not meet the set criteria. For example, if the emotional state change trend shows a negative direction for three consecutive times, or if the practical task completion rate falls below 50%, the control unit outputs a warning message to the user terminal such as, "Your emotional state has recently changed negatively. Please continue to perform the practical tasks or review what you learned last time." Such messages are intended to help the user become aware of their own state and encourage them to participate more actively in the learning and practice process.

[0110] The control unit outputs a warning message and simultaneously records the state in the storage unit, which can then be used to analyze the learning effect in the future. For example, if the user's performance on practical tasks increases or their emotional state improves after receiving a warning message, this can be used as data to evaluate the effectiveness of the learning content and feedback strategy. Conversely, if the negative state persists after the warning message, the control unit can redesign the learning process by providing additional learning content or suggesting more specific alternatives to the user.

[0111] The control unit according to this embodiment analyzes the emotional state and progress of practical tasks in real time based on user data, thereby providing personalized feedback that maximizes learning effectiveness. As a result, the user receives a systematic environment in which they can clearly recognize their own learning and practice process and be guided toward continuous psychological improvement.

[0112] According to one embodiment of the present invention, after the completion of the third learning session, the control unit evaluates the user's learning progress based on the stored data, compares the emotion recording data from the first, second, and third sessions to calculate the progression of changes in the emotional state, identifies the practical task completion rate and the consistency of the response data, quantitatively derives the user's learning effect, and, based on the analysis results of the learning effect, visualizes the progression of the user's emotional changes and the practical task completion rate in the form of graphs and summary text, and outputs them to the user terminal.

[0113] According to one embodiment of the present invention, after the completion of the third learning session, the control unit evaluates the user's learning progress based on the stored data, and analyzes the changes in emotional state, the rate of completion of practical tasks, and the consistency of response data to quantitatively derive the user's learning effectiveness. The control unit classifies the emotional record data collected during the learning process by session, compares this data chronologically, and calculates the pattern of changes in emotional state. In addition, the rate of completion of practical tasks is calculated based on the completion data for each session and is used as an indicator to evaluate the user's level of participation in learning.

[0114] To analyze the emotion record data, the control unit divides the records entered by the user at the word level for each session and calculates the frequency of words indicating positive or negative emotions. For example, if the first entry is an emotion record of "Today I felt calm and happy," the control unit identifies words indicating positive emotions such as "calm" and "happy" and calculates a positive emotion score. If the second entry is an emotion record of "Today was a difficult day with many worries," the control unit identifies words indicating negative emotions such as "worries" and "difficult" and calculates a negative emotion score. Based on this data, the control unit derives the progression of changes in emotional state for each session and quantitatively evaluates whether the emotional state has changed for the better or for the worse.

[0115] The practical task completion rate is calculated based on the completion status data entered by the user. The control unit calculates the percentage of practical tasks completed in the first, second, and third attempts, and compares the completion rates for each attempt to analyze whether the user's participation in the practical tasks has increased or decreased. For example, if a practical task completion rate of 60% is recorded in the first attempt and increases to 80% in the third attempt, the control unit identifies that the user's participation in the practical tasks has improved and judges this as a positive learning effect.

[0116] The consistency of response data is evaluated by comparing the responses provided by the user to the same question in each trial. The control unit compares and analyzes the user's response data at the sentence structure and major word level to confirm whether the learning effect is consistent. For example, if the user answers "positive" and "happy" to the same question "Please write about the feelings you felt today" in the first and third trials, the control unit classifies these as positive responses and judges them as consistent learning effects. On the other hand, if the responses differ significantly from trial to trial, the control unit can identify that the learning effect is inconsistent.

[0117] The results of the learning effectiveness analysis are visualized in the form of graphs and summary text so that users can understand them intuitively. The control unit represents the changes in emotional state as a line graph based on the time axis, and the practical task completion rate is shown as a bar graph for each session. For example, if the emotional state changes positively, it is displayed as an upward curve from the top of the graph, and if the practical task completion rate increases, it is visualized as the height of the bar graph gradually increases for each session. The summary text is output to the user terminal, including specific numerical values ​​and analysis results, such as "During the third learning session, the frequency of positive emotions increased by 20%, and the practical task completion rate improved from 60% to 80%."

[0118] The control unit outputs the analysis results to the user terminal and simultaneously records them in the storage unit, allowing the user to review the data or use it for further analysis even after completing the learning process. For example, when the user starts the next learning session, the control unit can provide personalized learning content or suggest new practical tasks based on the results of the previous learning session.

[0119] The control unit according to this embodiment quantitatively derives learning effectiveness and provides it to the user in an intuitively visualized form, thereby helping the user clearly understand their learning progress and participate more actively in the learning and practice process. This maximizes the effectiveness of the learning content and provides an environment that supports sustained psychological improvement.

[0120] A control unit according to one embodiment of the present invention can set correlations between multiple variables based on user learning data, evaluate the user's psychological recovery state based on these correlations, and utilize this information for providing learning content and generating feedback.

[0121] On the other hand, the reason the control unit sets correlations between variables is to analyze the user's learning state and psychological changes in a multidimensional manner, and to precisely evaluate the overall learning effect and psychological recovery process, which are difficult to confirm with single-variable analysis. This achieves the technical effect of maximizing learning efficiency and providing a user-individualized learning experience.

[0122] User learning data is composed of various elements, and each variable not only has meaning individually, but can also more accurately describe the user's learning state through interaction with other variables. For example, even if the proportion of positive words in emotional records is high, if the practical task completion rate is low, it may mean that the user simply recorded a positive state, but it did not lead to actual action. Conversely, if emotional volatility is low and the practical task completion rate is high, it may indicate that the user is experiencing a stable psychological recovery process through learning. In this context, it is difficult to accurately judge the learning effect by analyzing only a single variable, so it is necessary to set up correlations between multiple variables and analyze them multidimensionally.

[0123] The control unit collects user learning data, normalizes it, and converts it into an analyzable format.

[0124] In the emotion log, the ratio of positive words and the practical task completion rate are set to be proportional to the learning effect. A high ratio of positive words and a continuously increasing practical task completion rate indicate that the user is experiencing positive psychological changes through learning.

[0125] Study time is set to be inversely proportional to learning effectiveness. If study time is too long, the learning rate may decrease due to accumulated fatigue; therefore, study time exceeding the appropriate range is evaluated as having a negative impact on learning effectiveness.

[0126] The learning interval is set to a logarithmic proportional relationship. If the learning interval is too short or too long, the learning effect decreases, and the learning effect is evaluated as being maximized when an appropriate interval is maintained.

[0127] The number of iterations of learning is set to be exponentially proportional to the learning effect. The initial number of iterations of learning rapidly increases the learning effect, but beyond a certain critical point, the learning efficiency saturates, and the effect of additional iterations of learning decreases.

[0128] The control unit identifies multiple variables based on the established correlations and derives the "Psychological Recovery Index (PRI)".

[0129] The system analyzes emotional data to evaluate the proportion of positive words, combines this with the performance rate of practical tasks to determine the user's level of learning immersion, measures learning efficiency by evaluating whether learning time did not exceed an appropriate range and whether learning intervals were maintained, and checks the number of repeated learning sessions to prevent a decrease in learning efficiency due to excessive repetition and determine whether an appropriate level of repeated learning was performed.

[0130] The psychological recovery index according to the present invention is an indicator that comprehensively shows the user's learning effectiveness and is used in providing learning content and generating feedback. For example, if a high psychological recovery index is derived, the control unit provides feedback such as, "Your learning effectiveness is currently very positive. Please maintain the same learning pattern." On the other hand, if a low index is derived, the control unit provides feedback such as, "Recently, the learning intervals have been too short, which has reduced learning efficiency. We recommend adjusting your next learning session to two days later."

[0131] This type of correlation-based analysis goes beyond simply evaluating individual data, comprehensively assessing the user's learning state and psychological recovery process. This maximizes learning effectiveness, provides personalized learning content and feedback, and enables multidimensional analysis and utilization of user learning data that was not possible with existing technologies. In particular, the control unit improves the accuracy and reliability of the learning management system by considering complex data interactions, helping users participate more effectively in the learning process. [Explanation of Symbols]

[0132] 100 user terminals 110 User Input Section 120 Display section 200 servers 210 Communications Department 220 Preservation Department 230 Control Unit

Claims

1. A system for providing mental health treatment services to alleviate depression and mental disorders, A system for providing mental health services for the alleviation of depression and mental illnesses, characterized by including a user terminal equipped with a user input section for user input and a display section that displays the screen of an application that provides mental health services for the alleviation of depression and mental illnesses, which is pre-installed.

2. This includes a server connected to the user terminal via a wired or wireless network, The aforementioned server, A storage unit for storing data within the aforementioned application, A communication unit that sends and receives data with the user terminal, It includes a control unit that controls the operation of at least one of the user terminal and the server, The control unit stores learning data divided into cardiac and sexual parts, and based on the gender data entered by the user, it divides the learning data for the cardiac and sexual parts into male or female versions and provides them in the same curriculum order. The control unit provides the learning data for the heart portion to the user terminal, categorized into male or female based on the user's gender. The control unit divides the learning data for the sex part into male or female versions according to the user's gender, and after learning the heart part, provides it to the user terminal. The control unit provides the user with practical tasks that can be performed in daily life, and records data via a user input unit that receives input on whether or not the user has performed the practical tasks. The control unit, after the learning of the learning data for the sexual part and the learning data for the mental part is completed, displays an input screen on the user terminal to create an emotion record and a comment, thereby controlling the system to complete the daily learning process, as described in claim 1.

3. The control unit defines 50 days' worth of pre-stored learning data for both the cardiac and sexual parts as the first time for each day, and sequentially provides the learning data for the cardiac and sexual parts. The control unit, in accordance with the user's gender, divides the content into male and female versions for the mind and sex sections and provides each learning content accordingly. Once the first learning cycle is complete, the control unit provides the same learning data repeatedly for the second and third cycles. The control unit classifies the emotion records, learning responses, and practice task data entered by the user daily for each session and stores them in the storage unit. The control unit is characterized in that, after each session is completed, it identifies the learning effect based on a comparison between the data stored for each session, as described in claim 2, for providing mental health treatment services for the alleviation of depression and mental disorders.

4. The control unit retrieves the question data used for the first impression creation in the storage unit, extracts the main syntax (SVO structure) that constitutes each question, replaces the core words in the extracted main syntax with vocabulary that can be replaced with words from the synonym database, rearranges the word order based on the replaced words, or inserts adverbs, adjectives, or additional syntax to generate multiple question data to be used for the second impression creation, which are modified question data to be used for the second impression creation, so that the same question is recognized by the user in a different way. The control unit performs a natural language similarity evaluation on the plurality of question data and the question data used to create the first impression, identifies questions below a predetermined critical value as final converted question data, and provides this to the user terminal, as described in claim 3, for the provision of mental health treatment services for the alleviation of depression and mental disorders.

5. The control unit collects emotional records, impressions, and data on whether or not the practical task was completed, entered by the user input unit, classifies this data based on the learning date and session number, and stores it in the storage unit. The control unit identifies the response data for each session corresponding to the same question content, calculates the change in emotional state and the rate of completion of the practical task, and outputs a warning message to the user terminal if at least one of a negative emotional state or failure to complete the practical task occurs, as described in claim 4, for providing mental health treatment services for the alleviation of depression and mental disorders.

6. After the third learning session is completed, the control unit evaluates the user's learning progress based on the stored data. The control unit compares the emotion recording data from the first, second, and third sessions to calculate the progression of changes in the emotional state, identifies the practical task completion rate and the consistency of the response data, and quantitatively derives the user's learning effect. A system for providing mental health treatment services for alleviating depression and psychological disorders, according to claim 5, characterized in that, based on the results of the analysis of the learning effect, the system visualizes the changes in the user's emotional state and the rate of completion of practical tasks in the form of graphs and summary text, and outputs them to the user's terminal.

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