Mind treatment service providing system for alleviating depression and psychological diseases

The mind therapy system addresses the limitations of existing treatments by offering gender-specific learning content and systematic processes, enhancing emotional and psychological stability through active patient participation and self-healing.

WO2026134999A1PCT designated stage Publication Date: 2026-06-25KOREA INSTITUTE OF PSYCHO-EDUCATION

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
KOREA INSTITUTE OF PSYCHO-EDUCATION
Filing Date
2025-12-11
Publication Date
2026-06-25

AI Technical Summary

Technical Problem

Existing treatments for depression and psychological disorders, such as medication, psychotherapy, and behavioral therapy, face limitations including side effects, financial burden, time constraints, and difficulty in sustaining patient motivation due to lethargy, leading to limited therapeutic efficacy.

Method used

A mind therapy service provision system that provides gender-tailored learning content divided into mind and sexuality parts, incorporating repetitive and systematic processes like practice tasks, emotional logs, and review writing, allowing patients to actively participate in their recovery through a self-healing approach.

Benefits of technology

Enables patients to improve their emotional state and psychological stability with minimal daily commitment, providing clear recovery status feedback, thereby enhancing motivation and overcoming the limitations of existing treatments.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure KR2025021346_25062026_PF_FP_ABST
    Figure KR2025021346_25062026_PF_FP_ABST
Patent Text Reader

Abstract

The present invention relates to a mind treatment service providing system for alleviating depression and psychological diseases. The mind treatment service providing system for alleviating depression and psychological diseases is characterized by comprising a user terminal provided with: a user input unit for user input; and a display unit for displaying a screen of a pre-installed application providing a mind treatment service for alleviating depression and psychological diseases.
Need to check novelty before this filing date? Find Prior Art

Description

Mind therapy service provision system for the alleviation of depression and psychological disorders

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

[0002] Depression is a frequently occurring psychological disorder in modern society that has a severe impact on an individual's emotional, physical, and social functioning. Generally, medication, psychotherapy, and behavioral therapy are utilized as treatment methods for depression, with each aiming for symptom relief and recovery. Medication works by regulating the balance of neurotransmitters in the brain through antidepressants, while psychotherapy organizes emotions and thoughts and strengthens problem-solving abilities through dialogue with a professional counselor. Behavioral therapy is a method that restores physical vitality through lifestyle improvements and increased physical activity.

[0003] However, each of these treatment methods has its limitations. Since drug therapy relies on the regulation of neurotransmitters, there is a high likelihood of side effects, and long-term use carries the risk of developing tolerance and dependence. Psychotherapy is often difficult to continue consistently due to the financial burden and time constraints. Furthermore, while behavioral therapy requires the patient's voluntary participation and willpower, patients with depression frequently find it difficult to sustain the treatment process due to a lack of motivation and lethargy. Due to these issues, existing treatments for depression have limited therapeutic efficacy and show limitations in inducing the patient's voluntary motivation for recovery.

[0004] The present invention overcomes the limitations of existing treatment methods through a mind therapy service provision system for alleviating depression and psychological disorders, and provides a systematic learning environment based on self-healing that enables patients to be motivated to recover on their own.

[0005] By providing learning content divided into mind and sexuality parts tailored to gender, it supports patients in understanding the principles of emotions and improving their emotional state through learning content suitable for their situation, and

[0006] By including repetitive and systematic processes such as practice tasks, emotional logs, and review writing based on daily learning data, an environment is created where patients can actively participate in the treatment process; by providing the same curriculum repeatedly after the first learning session and modifying the review questions, the learning content is perceived anew, thereby maximizing learning effectiveness and preventing patients from feeling bored.

[0007] The present invention provides a mental therapy service system for alleviating depression and psychological disorders that allows patients to invest a short amount of time each day to carry out learning and practice tasks, thereby experiencing improvement in their emotional state and psychological stability. Furthermore, by visually providing the learning effects at the end of the third session, the patient can clearly recognize their recovery status and decide for themselves whether to engage in additional or repeated learning, thereby presenting a new depression treatment method based on self-healing and effectively resolving the problems of existing treatment methods.

[0008] A system for providing a mind therapy service for alleviating depression and psychological disorders according to one embodiment of the present invention is characterized by comprising a user terminal having: a user input unit for user input; and a display unit for displaying a screen of an application that provides a mind therapy service for alleviating depression and psychological disorders that is already installed.

[0009] The system includes a server connected to the user terminal via a wired or wireless network; wherein the server includes a storage unit that stores data within the application; a communication unit that transmits and receives data with the user terminal; and 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 a mind part and a sex part, and provides the mind part and sex part learning data by classifying them into male or female based on gender data input by the user and following the same curriculum sequence. The control unit provides the mind part learning data by classifying it into male or female corresponding to the user's gender and provides it to the user terminal. The control unit provides the sex part learning data by classifying it into male or female according to the user's gender and provides it to the user terminal after the mind part learning. The control unit provides the user with practical tasks that can be performed in daily life and records data through a user input unit that receives input on whether the said practical tasks have been performed. The control unit controls the system to end the daily learning process by displaying an input screen on the user terminal to write an emotional record and a review after the learning of the sex part learning data and the mind part learning data has ended.

[0010] The control unit defines 50 days' worth of previously stored learning data for the mind part and the sex part, respectively, as one session on a daily basis and sequentially provides learning data for the mind part and the sex part; the control unit distinguishes between male or female content for the mind part and the sex part in accordance with the user's gender and provides each learning content; when the first session of learning is completed, the control unit repeatedly provides the same learning data for the second and third sessions; the control unit classifies and stores the emotion records, learning responses, and practice task data entered by the user daily for each session in the storage unit; and the control unit identifies the learning effect based on a comparison between the data stored for each session whenever each session ends.

[0011] The control unit retrieves question data used for writing a first review from the storage unit, extracts key phrases (SVO structures) constituting each question, changes key words among the extracted key phrases to replaceable vocabulary in a synonym database, rearranges the word order based on the replaced words, or inserts adverbs, adjectives, or additional phrases to change the sentence structure of the question data used for writing a first review so that the same question is perceived by the user in a different way, and generates multiple question data to be used for writing a second review by performing a natural language similarity evaluation between the multiple question data and the question data used for writing a first review, identifies questions below a preset threshold value as final converted question data, and provides this to the user terminal.

[0012] The control unit collects data on emotional records, reviews, and whether practical tasks have been performed, which are input through the user input unit, classifies them based on the learning date and session, and stores them in the storage unit. The control unit identifies response data for each session corresponding to the same question content, calculates the trend of change in emotional state and the practical task performance rate, and outputs a warning message to the user terminal when at least one of a negative emotional state or non-performance of practical tasks occurs.

[0013] The control unit evaluates the user's learning progress status based on data stored after the completion of the third learning session, and the control unit calculates the trend of change in emotional state by comparing the emotional record data of the first, second, and third sessions, identifies the consistency of the practice task performance rate and response data to quantitatively derive the user's learning effect, and is characterized by visualizing the user's emotional change trend and practice task performance rate in the form of a graph and summary text based on the results of the learning effect analysis and outputting them to the user terminal.

[0014] By providing a systematic learning environment based on self-healing that enables patients to be motivated to recover on their own,

[0015] By providing learning content divided into mind and sexuality parts tailored to gender, it supports patients in understanding the principles of emotions and improving their emotional state through learning content suitable for their situation, and

[0016] By including repetitive and systematic processes such as practice tasks, emotional logs, and review writing based on daily learning data, an environment is created where patients can actively participate in the treatment process; by providing the same curriculum repeatedly after the first learning session and modifying the review questions, the learning content is perceived anew, thereby maximizing learning effectiveness and preventing patients from feeling bored.

[0017] A system for providing mental therapy services to alleviate depression and psychological disorders can be provided, which allows patients to invest a short amount of time each day to carry out learning and practice tasks, thereby experiencing improvement in their emotional state and psychological stability; furthermore, by visually providing the learning effects at the end of the third learning session, patients can clearly recognize their recovery status and decide for themselves whether to engage in additional learning or repeated learning, thereby presenting a new depression treatment method based on self-healing and effectively resolving the problems of existing treatment methods.

[0018] FIG. 1 is a diagram illustrating the schematic configuration of a mind treatment service provision system for alleviating depression and psychological disorders according to one embodiment of the present invention.

[0019] FIG. 2 is a diagram illustrating the specific configuration of a mind treatment service provision system for alleviating depression and psychological disorders according to one embodiment of the present invention.

[0020] FIG. 3 is a diagram illustrating a learning flowchart of a mind treatment service provision system for alleviating depression and psychological disorders according to an embodiment of the present invention.

[0021] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. In the drawings, identical reference numbers 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 concept of the present invention and its core components and operations are not limited only to the components or operations described in the following embodiments. In describing the present invention, if it is determined that a detailed description of known technologies or components related to the present invention may unnecessarily obscure the essence of the present invention, such detailed description will be omitted.

[0022] 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 another, and singular expressions include plural expressions unless the context clearly indicates otherwise. Furthermore, in embodiments of the present invention, terms such as 'composed of,' 'include,' 'have,' etc., should be understood as not precluding the existence or addition of one or more other features, numbers, steps, actions, components, parts, or combinations thereof. Additionally, in embodiments of the present invention, 'module' or 'part' performs at least one function or operation and may be implemented in hardware or software, or as a combination of hardware and software, or may be integrated into at least one module and implemented as at least one processor. Furthermore, in embodiments of the present invention, 'at least one' among a plurality of elements refers not only to all of the plurality of elements but also to each individual element excluding the remainder or all combinations thereof. Additionally, "configured to" may be used interchangeably with, depending on the context, for example, "suitable for," "having the capacity to," "designed to," "adapted to," "made to," or "capable of." "Configured to" does not necessarily mean that it is "specifically designed to" in hardware. Instead, in some situations, the expression "device configured to" may mean that the device is "capable of" doing so in conjunction with other devices or components.For example, the phrase “a processor configured (or set) to perform A, B, and C” may mean a dedicated processor for performing said operations (e.g., an embedded processor), or a generic-purpose processor (e.g., a CPU or an application processor) capable of performing said operations by executing one or more software programs stored in a memory device.

[0023] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. This description is intended to be detailed enough for a person skilled in the art to easily practice the invention, and it should be noted that the technical scope and concept of the present invention are not limited thereby.

[0024] FIG. 1 is a diagram illustrating the schematic configuration of a mind treatment service provision system for alleviating depression and psychological disorders according to one embodiment of the present invention, FIG. 2 is a diagram illustrating the specific configuration of a mind treatment service provision system for alleviating depression and psychological disorders according to one embodiment of the present invention, and FIG. 3 is a diagram illustrating a learning flowchart of a mind treatment service provision system for alleviating depression and psychological disorders according to one embodiment of the present invention.

[0025] Referring to FIGS. 1 to 3, a system for providing a mind treatment service for alleviating depression and psychological disorders according to one embodiment of the present invention includes a user terminal (100) provided with a user input unit (110) for user input and a display unit (120) for displaying a screen of an application that provides a mind treatment service for alleviating depression and psychological disorders that is already installed. Additionally, it includes a server (200) that is network-connected to the user terminal.

[0026] According to one embodiment of the present invention, depression and psychological disorders comprehensively refer to conditions that have a negative impact on psychological, emotional, and social functions. Depression includes major depressive disorder and is characterized by symptoms such as chronic sadness, lethargy, loss of interest, low self-esteem, sleep disturbances, reduced concentration, changes in appetite, and suicidal thoughts. Depression is distinguished from a temporary mood decline that occurs in response to external stimuli, and it is caused by the interaction of biological, psychological, and environmental factors.

[0027] Causes of depression include genetic factors, neurotransmitter imbalances, stress, trauma, chronic diseases, social isolation, and economic hardship. Furthermore, the way depression manifests can vary depending on age, gender, and individual personality traits. For example, in children and adolescents, it may appear as behavioral changes such as academic underachievement, hyperactivity, and social isolation, while in adults, it may manifest as decreased work performance and interpersonal problems. In the elderly, depressive symptoms related to physical illnesses are frequently observed.

[0028] Psychological disorders encompass not only depression but also anxiety disorders, bipolar disorder, obsessive-compulsive disorder, post-traumatic stress disorder (PTSD), panic disorder, social anxiety disorder, somatoform disorder, and dissociative disorder. These disorders cause not only mental distress but also interfere with an individual's social role performance and daily life, leading to a severe decline in quality of life. Psychological disorders often do not arise from a single cause but are the result of a complex interplay 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).

[0029] Depression and psychological disorders are highly likely to become chronic or recur without proper treatment and management. In particular, if psychological disorders are not recognized or treated in the early stages, they progress to a chronic state and can negatively impact physical health. For instance, depression shows a high correlation with physical ailments such as cardiovascular disease, diabetes, and impaired immune function. Furthermore, psychological disorders negatively affect family members and the surrounding society, potentially escalating into a problem affecting not only the individual but the entire social system.

[0030] The depression and psychological disorders defined in this invention encompass all conditions related to such mental and emotional distress and are not limited to specific diagnoses or symptoms. Therefore, this invention is applicable to individuals experiencing various psychological difficulties and possesses broad applicability without considering the severity or manifestation of the depression or psychological disorders, or individual environmental factors. The purpose is to effectively alleviate various forms of psychological difficulties through a novel form of psychotherapy approach that can be used in conjunction with or independently of existing treatment methods.

[0031] Mind therapy according to one embodiment of the present invention comprehensively refers to a concept that includes methods and processes systematically designed to restore and positively improve an individual's psychological and emotional state. Mind therapy can be applied to resolve or alleviate various psychological problems such as depression, anxiety, stress, obsessive-compulsive disorder, and trauma, and aims to understand the principles of emotion, improve negative emotional habits, and induce positive psychological changes in this process.

[0032] Mind therapy incorporates a self-healing-centered approach distinct from traditional psychotherapy and is based on the active participation of the client. To control or overcome emotional changes caused by external factors, mind therapy analyzes the causes and operating principles of emotions and strengthens the ability to regulate them through practice and learning based on this analysis. It focuses on helping the client objectively understand their own emotions and transform negative emotions into positive ones.

[0033] Mind therapy includes learning content and practice tasks for emotion regulation, and is designed to enable the subject to gradually improve their emotional patterns through a repetitive process that combines learning and practice. Specifically, mind therapy may include the following elements.

[0034] First, it is a learning process of understanding the basic principles and workings of emotions. This helps to understand how emotions are formed and whether they are amplified or suppressed by specific events or environments.

[0035] Second, it is a practical process of training not to react emotionally in specific situations. For example, it involves practicing not to react sensitively to the words and actions of others, or acquiring skills to escape problematic situations by objectifying one's own emotions.

[0036] Third, it is the process of forming positive emotional habits through repetitive learning and feedback. Repetitive learning is conducted by providing the same learning content but modifying the sentence structure or expressions to allow users to perceive it in a new way.

[0037] In addition to learning and practice, psychotherapy may include a stage of recording and analyzing various emotional events that occur in daily life. Through this, the subject can identify the situations in which they experience negative emotions, understand patterns of recurring problems, and learn how to cope with them.

[0038] The mind therapy defined in one embodiment of the present invention is not limited to specific treatment methods or techniques, but encompasses all processes of finding psychological stability through the improvement of 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 mind therapy of the present invention can be performed in conjunction with or independently of existing pharmacotherapy and psychological counseling, and aims to maximize self-healing effects based on the subject's active participation and continuous learning. Through this, it provides an innovative therapeutic approach that helps individuals control their emotions and resolve psychological problems on their own.

[0039] An application according to one embodiment of the present invention comprehensively refers to software installed on a user terminal that provides various functions for alleviating depression and psychological disorders. The application interacts with the user and is composed of a system that integrally manages a series of processes including the provision of learning content, performance of practical tasks, recording of emotions, and feedback.

[0040] The application provides personalized content based on user input data to create a customized therapeutic environment. It receives information such as gender, age, basic emotional state, and psychological characteristics from the user, analyzes it, and proposes personalized learning content and practice tasks based on the analysis results. For example, the learning content, composed of "Mind" and "Sex" sections, provides content categorized as male or female based on the user's gender, thereby offering a more suitable learning environment.

[0041] This application may include the following key functions.

[0042] First is the learning content provision feature. The learning content for the Mind and Sexuality parts consists of 50 days' worth of material each, with one piece of content provided sequentially every day. Users can study the content through the application and understand and improve their emotions by answering the questions included in the content.

[0043] Second is the 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 users can input and manage whether they have completed these tasks through the application. The content of the tasks may vary depending on the user's gender, and the difficulty level may be adjusted according to the user's psychological state.

[0044] Third is the emotion recording and review writing function. Users can record their emotional state daily and write reviews regarding learning and practice tasks. The generated data is stored within the application and serves as foundational material for subsequent data analysis and feedback provision.

[0045] Fourth is the data analysis and feedback provision function. The application analyzes stored emotion records, practice task performance data, and learning response data to derive trends in the user's emotional changes and learning effects. The analysis results are provided to the user in the form of graphs and summary text, helping the user intuitively understand their state.

[0046] This application is designed to be easily accessible to anyone through an intuitive and user-friendly interface. Users can utilize the application's features without complex procedures, and each process is automated to systematically support the user's learning and treatment journey. For example, learning content and practice tasks are provided automatically, and appropriate feedback is delivered immediately based on user input data.

[0047] Furthermore, the application is designed based on repetitive learning. Once the first learning session is completed, the same learning content is repeated for the second and third sessions. Additionally, questions included in the reviews are provided with modified vocabulary and sentence structures, allowing users to perceive repetitive learning in a new light. This maximizes learning effectiveness and is designed to enable users to continuously participate in the learning process without feeling bored.

[0048] An application according to 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. In addition, it is linked with a cloud server to reliably store and manage data, and supports data backup and restoration. Through this, the application provides an environment in which users can check their status and proceed with learning processes anytime and anywhere.

[0049] This application can be used in conjunction with existing depression treatment methods or independently, and aims to maximize self-healing effects by encouraging active user participation. It proposes an innovative software system that helps improve emotional states and promote psychological stability by providing users with a systematic and repeatable learning environment.

[0050] A user terminal (100) according to one embodiment of the present invention includes, for example, a personal computer, a server computer, a handheld or laptop device, a mobile device (mobile phone, PDA, media player, etc.), a multiprocessor system, a consumer electronic device, a mini computer, a mainframe computer, a distributed computing environment including any of the aforementioned systems or devices, and an edge computing environment in which data is processed at the edge where data is generated rather than at a central server, and the configuration is not limited only to what is described.

[0051] 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.

[0052] The memory may be volatile memory (e.g., RAM, etc.), non-volatile memory (e.g., ROM, flash memory, etc.), or a combination thereof. Additionally, the user terminal (100) may include additional storage. The 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 an operating system, an application program, etc. Computer-readable instructions stored in the storage may be loaded into memory to be executed by a processor.

[0053] Additionally, 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, a mouse, a pen, a voice input device, a touch input device, an infrared camera, a video input device, or any other input device. Additionally, the output device may include, for example, one or more displays, speakers, printers, or any other output devices. Additionally, the computing device may use an input device or an output device provided in another computing device as the user input unit (110) or output device. Additionally, the computing device may include a communication module that enables the computing device to communicate with another device. Here, the communication module may include a modem, a network interface card (NIC), an integrated network interface, a radio frequency transmitter / receiver, an infrared port, a USB connection, or other interfaces for connecting the computing device to another computing device. The communication module may include a wired connection or a wireless connection.

[0054] Each component of the user terminal (100) may be connected by various interconnections such as a bus (e.g., peripheral component interconnection (PCI), USB, firmware (IEEE 1394), optical bus structure, etc.) or may be interconnected by a network. Terms such as “component,” “system,” etc. used in this specification generally refer to computer-related entities that are hardware, a combination of hardware and software, software, or running software.

[0055] A user terminal (100) according to one embodiment of the present invention may include a display unit (120), and the method of implementing the display of the display unit (120) is not limited and may be implemented in various display methods such as liquid crystal, plasma, light-emitting diode, organic light-emitting diode, surface-conduction electron-emitter, carbon nanotube, nanocrystal, etc. In the case of a liquid crystal method, 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 driving unit that drives the liquid crystal display panel. Meanwhile, the display unit (120) may be implemented as an OLED panel, which is a self-emissive element, without a backlight unit.

[0056] 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).

[0057] A communication unit (210) according to one embodiment of the present invention can communicate with a user terminal (100) or other external electronic devices, etc., via wired or wireless communication methods. Therefore, in addition to a connection unit including a connector or terminal for wired connection, it can be implemented in various other communication methods. For example, it can be configured to perform one or more of Wi-Fi, Bluetooth, Zigbee, infrared communication, Radio Control, Ultra-Wide Band (UWM), Wireless USB, and Near Field Communication (NFC). The communication unit (210) may include communication modules such as Bluetooth Low Energy (BLE), Serial Port Profile (SPP), Wi-Fi Direct, infrared communication, Zigbee, and Near Field Communication (NFC). Additionally, the communication unit (210) can be implemented in the form of a device, a software module, a circuit, a chip, etc.

[0058] A communication unit (210) according to one embodiment of the present invention may include various communication modules as described above, and may include an IoT communication module having an IoT network for each carrier. An IoT communication module may refer to any IoT communication network in which a plurality of objects having separate communication units (210) are connected through a network to enable services based on various platforms. By using such an IoT communication module, a smoother communication network can be provided within a set area.

[0059] A storage unit (220) according to one embodiment of the present invention may receive information from a user terminal (100) or from an external search platform through a communication unit (210) and store it, and may receive text information and image information included in a plurality of web pages received by a control unit (230) and store it. The storage unit (220) may store various data according to the processing and control of the control unit (230) described later. The storage unit (220) may be accessed by the control unit (230) to perform reading, recording, modification, deletion, updating, etc. of data. The storage unit (220) may include non-volatile memory such as flash memory, hard disk drive, and SSD (solid-state drive) so as to preserve data regardless of whether system power is provided to the server (200). Additionally, the storage unit (220) may include volatile memory, such as a buffer or RAM, for temporarily loading data processed by the control unit (230).

[0060] A control unit (230) according to one embodiment of the present invention can perform control for the operation of various components of a server (200). The control unit (230) may include a control program (or instruction) that enables such control operation, an inactive memory in which the control program is installed, a volatile memory in which at least a portion of the installed control program is loaded, and at least one processor or CPU (Central Processing Unit) that executes the loaded control program. In addition, such a control program may be stored in an external electronic device other than the server (200).

[0061] The control program may include program(s) implemented in at least one form among BIOS, device driver, operating system, firmware, platform, and application. In one embodiment, the application may be pre-installed or stored in the server (200) at the time of manufacturing the server (200), or may be installed in the server (200) based on the received data by receiving data of the application from an external source when it is used later. The data of the application may be downloaded to the server (200) from an external server, such as an application market, for example, a platform according to the present invention, but is not limited thereto. Meanwhile, the control unit (230) may be implemented in the form of a device, S / W module, circuit, chip, etc., or a combination thereof.

[0062] A control unit according to one embodiment of the present invention stores learning data divided into a mind part and a gender part, and based on gender data input by a user, divides the learning data into male and female versions and provides them according to the same curriculum sequence.

[0063] A control unit according to one embodiment of the invention stores learning data divided into a mind part and a gender part, and is configured to provide the learning data for the mind part and gender part in the same curriculum sequence by classifying them into male or female based on gender data input by a user. The control unit may be composed of a storage unit for storing learning data, a data analysis module for processing user input data, a communication module for transmitting learning content to a user terminal, and an execution module for sequentially providing learning content and controlling the learning process based on user input data.

[0064] The control unit first receives initial information, including gender data, from the user. The gender data entered by the user is processed by the control unit's data analysis module and utilized as a criterion for selecting learning data suitable for the user. For example, while the Mind Part and the Sex Part follow the same curriculum sequence, each piece of content is stored separately for men or women. The Mind Part consists of content designed to improve emotional regulation and self-awareness abilities; depending on gender, the content for men emphasizes objectivity in emotional expression and analytical skills, while the content for women emphasizes positive emotional transformation and psychological stability. The Sex Part includes content related to interpersonal relationships, sexual awareness, and self-development; the content for men focuses on healthily managing sexual energy and forming positive social relationships, while the content for women is structured to strengthen self-esteem and relationship recovery skills.

[0065] The control unit executes a curriculum management algorithm to provide learning content sequentially based on the user's gender data. For example, if 50 days' worth of learning data is stored for both the Mind Part and the Sex Part, the control unit checks the learning progress status and provides content for men in the Mind Part on the first day, followed by content for men in the Sex Part as the second learning stage on the same day. Once the learning process is completed, the control unit prompts the user to record whether they have performed the practice tasks through the user input unit and controls the process to proceed to the emotional recording and review writing stages. The control unit is designed to ensure that learning content, practice tasks, emotional recording, and review writing proceed in a specific order, and provides an environment where users can conveniently input and verify data during the learning process.

[0066] In addition, the control unit manages the provision of learning content in the same curriculum sequence. When a user completes the first learning session, the control unit provides the same learning data repeatedly for the second and third sessions; however, regarding the review questions, it controls the process by transforming the sentence structure and vocabulary of the existing question data to allow the user to immerse themselves in the learning anew even during repeated study. 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 original question but differing in expression, it is provided as the final data.

[0067] A control unit according to one embodiment of the present invention not only provides learning content but also includes a function capable of storing and analyzing user data to track the effectiveness of the learning process and provide feedback. In the process of providing content for men or women based on gender data entered by the user, consistency of the user experience is ensured because the same curriculum sequence is maintained, and the learning effect is maximized by providing customized learning content specialized for each gender. This structure can complement the limitations of existing psychotherapy methods and contribute to maximizing the effect of repetitive learning in a self-study environment.

[0068] A control unit according to one embodiment of the present invention can provide mind part learning data to a user terminal by classifying it into male or female based on the user's gender, provide sex part learning data to a user terminal after learning the mind part by classifying it into male or female based on the user's gender, provide practical tasks that can be practiced in daily life to the user, record data through a user input unit that receives input on whether the practical tasks have been performed, and control the daily learning process to end by displaying an input screen on the user terminal to write an emotion record and a review after the learning of the sex part learning data and mind part learning data is completed.

[0069] A control unit according to one embodiment of the present invention is configured to provide mind part learning data to a user terminal by classifying it into male or female versions corresponding to the user's gender, provide sex part learning data to a user terminal after learning the mind part by classifying it into male or female versions according to the user's gender, provide practical tasks that can be practiced in daily life to the user, record data through a user input unit that receives input on whether the said practical tasks have been performed, and control the daily learning process to be terminated by displaying an input screen on the user terminal to write an emotion record and a review after the learning of the sex part learning data and mind part learning data is completed.

[0070]

[0071] The control unit first receives initial information, including gender data, from the user and stores it in the storage unit; based on this, it classifies and manages learning content for the Mind and Sex parts. For example, the Mind part consists of content focused on emotional regulation and emotional stability; depending on gender, content for men includes material that strengthens logical analysis of emotions and coping skills, while content for women is designed to induce a positive shift in emotions and psychological stability. The Sex part focuses on relationship management and enhancing self-awareness; content for men includes material focused on social role performance and sexual energy management, while content for women focuses on self-esteem and relationship recovery.

[0072] The control unit controls the provision of learning content sequentially, and the daily learning process consists of the following steps.

[0073] First, Mind Part learning data is provided to user devices, and this data is categorized into male or female content based on the user's gender. For example, male users are provided with learning content that analyzes the causes of emotions in specific situations and finds coping methods, while female users are provided with learning content that alleviates emotional stress and strengthens self-affirmation.

[0074] Second, once the Mind Part learning is completed, the control unit provides the Sex Part learning data to the user terminal. The Sex Part learning data is also categorized into male or female versions based on the user's gender; male users are provided with content containing specific practical methods for positively converting sexual energy, while female users are provided with learning content focused on improving self-esteem and social relationships.

[0075] Third, the control unit suggests actionable daily life tasks to the user after the learning phase is completed. For example, to help the user apply the emotion regulation skills learned in the Mind Part to daily life, practical tasks such as "responding logically to others' words without reacting emotionally" may be provided. In the Sex Part, specific and actionable tasks such as "finding positive intentions in the other person's words" or "writing down and analyzing one's own emotions" are suggested.

[0076] Fourth, the control unit receives input through the user input unit regarding whether the user has performed the practice task and records the corresponding data in the storage unit. The input data is used to analyze the user's practice task performance rate and to evaluate the learning effect. Practice task data is stored by date and subsequently used as supporting data to analyze trends in emotional changes.

[0077] Finally, the control unit displays an emotion recording and review writing screen on the user terminal as the final stage of the daily learning process. The emotion recording encourages the user to specifically record the emotional state experienced during the day, and the review writing encourages the user to write feedback based on the learning content and the experience of performing the practice tasks. For example, questions such as "Write down what was most impressive about what you learned today" or "What did you feel while performing the practice tasks today?" may be provided.

[0078] The control unit automatically executes all these processes and is designed to ensure that each step is carried out in a systematic and repeatable manner. Users can naturally participate in the learning process through the application and gradually improve their emotional state by completing practice tasks and emotional records. These operations of the control unit contribute to maximizing learning effectiveness by encompassing the provision of customized content based on the user's gender, management of practice task performance, and the recording and provision of feedback on emotional states.

[0079] A control unit according to one embodiment of the present invention defines 50 days' worth of previously stored learning data for the mind part and the sex part, respectively, as one session on a daily basis and provides the learning data for the mind part and the sex part sequentially. The control unit tracks the user's learning progress status, 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.

[0080] The control unit prioritizes providing learning data for the "Mind" part during the daily learning process, and this data includes content related to emotion regulation, self-understanding, and stress relief. For example, the Mind part learning data may include questions and learning activities such as, "Record the major emotions you felt today and analyze the causes of those emotions." After the user consumes this learning data, the control unit continuously provides learning data for the "Sex" part, which includes content such as relationship management, self-efficacy enhancement, and improvement of social interactions. The Sex part learning data may consist of activities such as, "Record what you felt during your conversation with the other person today and think about areas for improvement during conversations."

[0081] When the daily learning process concludes, the control unit records that the corresponding learning data has been completed and prepares the learning data to be provided the following day in advance. To this end, the control unit indexes the learning data stored in the storage unit by date and updates the user's learning progress status in real time. If the user has not completed the learning data for the Mind and Sex parts, the control unit can be configured to provide the learning data from the previous stage again. This is intended to ensure consistent curriculum progression even if the user misses or interrupts the learning process.

[0082] Furthermore, the control unit manages the order of each learning data according to a fixed curriculum to ensure that learning content is delivered efficiently to the user. Learning for the "Mind" part is always provided before learning for the "Sex" part, and the learning content is controlled to be delivered to the user's terminal in a timely manner while maintaining a fixed order. For example, the first data in the "Mind" part begins with questions to aid in emotion recognition, while the first data in the "Sex" part leads to a simple interpersonal relationship analysis activity. In this way, the control unit maintains the consistency and efficiency of the learning process.

[0083] The control unit manages learning data in 50-day increments, and once the first learning session is completed, it provides the same learning data repeatedly for the second and third sessions. To enable the user to approach the same learning content from a new perspective during repeated learning, the control unit can transform the vocabulary and sentence structure of the existing learning questions when providing the repeated learning data to the user terminal. For example, if the question "Write down your emotions today" was provided in the first session, the question transformed into a form such as "Record the feelings you experienced today" is provided in the second session. This prevents the user from feeling bored during repeated learning and maximizes the learning effect.

[0084] A 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 status in real time, prevent data omission or interruption, and optimize the user's learning experience. Through this, the user can experience emotional regulation and self-development in a systematic and repetitive learning environment.

[0085] A control unit according to one embodiment of the present invention provides learning content by distinguishing between male or female content in the mind part and the sex part in accordance with the user's gender, and when the first learning session is completed, the control unit provides the same learning data repeatedly for the second and third sessions, and the control unit classifies and stores the emotion records, learning responses, and practice task data entered by the user daily for each session in the storage unit, and whenever each session ends, the control unit identifies the learning effect based on a comparison between the data stored for each session.

[0086] A control unit according to one embodiment of the present invention distinguishes between male and female content in the mind part and gender part in accordance with the user's gender and provides each learning content, and when the first learning session is completed, provides the same learning data repeatedly for the second and third sessions. During the process of providing learning content, the control unit collects emotion records, learning responses, and practice task data entered by the user daily, classifies each data by session, and records it in a storage unit. This data recording is used as basic data to track learning progress and analyze learning effects.

[0087] The control unit sequentially provides learning content for the mind part and the sexual part when providing the first learning session, and selects appropriate learning data by distinguishing between male and female content based on the user's gender. For example, the male content in the mind part is structured around the 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 sexual part, the male content includes stress management and social role performance skills, while the female content includes skills for relationship recovery and strengthening self-esteem.

[0088] After the first learning session is completed, the control unit provides the same learning data repeatedly for the second and third sessions. During this process, the control unit transforms and provides question data included in the reviews so that the user does not become accustomed to or bored with the learning content due to the repetition of the learning content. For example, if the question "Write down the emotions you felt today" was provided in the first session, a transformed question such as "Please record the feelings you experienced during the day" is provided in the second session. This transformation is performed through a grammar analysis module and a synonym substitution algorithm within the control unit, and the final transformed data is selected by evaluating the similarity of each question.

[0089] The control unit records data collected during the learning process for each session in the storage unit and manages emotional records, learning responses, and the status of practice task completion by classifying them according to date and session. The stored data is utilized as analytical data to evaluate the learning effect. At the end of each session, the control unit identifies the learning effect by performing a comparison between the stored data. For example, it analyzes the trend of changes in the user's emotional state by comparing the emotional record data from the first and second sessions, and evaluates the user's participation based on the practice task completion rate. The learning effect is quantitatively derived through indicators such as the degree of improvement in the emotional state, the consistency of response data, and whether the practice task completion rate has increased.

[0090] The control unit can provide feedback to the user based on these analysis results. For example, if changes in emotional state are minimal or the performance rate of practical tasks is low during a specific session, the control unit can output additional learning guides or motivational messages to the user terminal. Conversely, if learning effects are clearly evident, the control unit provides positive feedback to encourage the user to continue learning.

[0091] A control unit according to one embodiment of the present invention is designed to maximize the efficiency of repetitive learning by not merely reusing content during the process of repeatedly providing learning content, but by analyzing the effect based on the user's learning data and providing feedback. Through this, the user can recognize their progress during the learning process and effectively promote psychological stability and self-development.

[0092] A control unit according to one embodiment of the present invention retrieves question data used for writing a first review from the storage unit, extracts key phrases (SVO structures) constituting each question, changes key words among the extracted key phrases to replaceable vocabulary in a synonym database, rearranges the word order based on the replaced words, or inserts adverbs, adjectives, or additional phrases to change the sentence structure of the question data used for writing a first review so that the same question is perceived by the user in a different way, and generates a plurality of question data to be used for writing a second review.

[0093] A control unit according to one embodiment of the present invention retrieves question data used for writing a first review from a storage unit, and then analyzes the main phrases (SVO structure) constituting each question to extract key elements such as subject, predicate, and object. The extracted main phrases are used as basic data for sentence transformation, and the control unit transforms the question data based on this to convey the same meaning to the user but to be recognized in a new way.

[0094] The control unit first analyzes the key components of the question data and replaces the extracted core words with replaceable vocabulary using a synonym database. For example, if there is data such as the question "Write down your emotions for the day" used in the first round, the control unit identifies the core words and phrases "emotion," "write down," and "for the day." Among these, "emotion" can be replaced with "mood" or "feeling" through the synonym database, and "write down" can be replaced with "record." The replacement words are selected by considering priority and contextual appropriateness within the database.

[0095] Based on the replaced words, the control unit generates modified question data by rearranging the word order of the question or inserting adverbs, adjectives, or additional phrases. For example, the question "Write down your emotions for the day" can be transformed into a form such as "Record specifically the feelings you experienced today." The modified sentence is grammatically correct and designed to maintain the same meaning as the original question while allowing the user to recognize it as a new sentence.

[0096] The control unit executes 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 finally selects only questions with low similarity below a set threshold (e.g., 80%). 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 down your emotions for the day" and "Record the mood you felt for the day" are identified as new data because their similarity is low below the threshold.

[0097] The multiple question data generated at the end are provided to the user terminal, allowing the user to learn anew without recognizing them as the same questions as the previous one when writing the second review. The control unit records the modified question data in the storage unit to manage the process so that the same conversion operation is not repeated, and supports the generation of new sentences based on the modified question data even during subsequent iteration learning stages.

[0098] The operation of the control unit according to the present embodiment continuously maintains the learning effect during the repetitive learning process through the transformation of question data, and provides an environment in which the user can remain immersed without losing interest in the repetitive learning. Furthermore, the transformed question data is designed to be recognized in a new form while retaining the same meaning as the original question, thereby simultaneously ensuring the effective utilization of learning content and the enhancement of the user experience. Through this, the control unit efficiently manages the process of providing learning data repeatedly and supports a user-customized learning environment.

[0099] 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 writing the first review, identifies a question below a preset threshold value as the final converted question data, and provides it to the user terminal.

[0100] A control unit according to one embodiment of the present invention executes a natural language similarity evaluation algorithm to compare and analyze a plurality of question data and question data used for writing a first review. Natural language similarity evaluation is a process for calculating the semantic similarity of each question data. The control unit tokenizes the question data and measures similarity by vectorizing each word through a word embedding technique. Through this, optimal transformed data is selected so that the generated question data is not excessively similar to the existing question data.

[0101] The control unit may 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 the original question data "Write down the emotions you felt today" and the transformed question data "Record the feelings you felt during the day", if the semantic similarity between the two sentences is evaluated to be below a threshold value (e.g., 80%), the transformed question data is identified as the final transformed question data.

[0102] The control unit excludes data exceeding a preset threshold from the transformed data based on the similarity evaluation results. For example, the two sentences "Write down your emotions for the day" and "Record the emotions you felt today" have high similarity in sentence structure and expression style, making it likely to be recognized as the same question; therefore, this data is excluded from the final question data. On the other hand, "Describe specifically how you felt today" has low similarity and can be identified as the final transformed question data.

[0103] The final converted question data is provided to the user terminal and is displayed as a new question when a user writes a review. 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 repeatedly converted. This prevents duplication of conversion tasks in subsequent rounds and contributes to increasing the efficiency of training data management.

[0104] In addition, when the control unit provides the final converted question data to the user terminal, it records the evaluated results as log data to ensure that the converted question retains the same meaning as the original question while being expressed in a different form. This data can be utilized for improving training content and training 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.

[0105] The natural language similarity evaluation of the control unit according to the present embodiment supports users in recognizing questions in new ways during the process of repeatedly providing learning content, and creates an environment that maximizes learning effects while maintaining immersion in repetitive learning. Through this, the control unit efficiently manages the conversion of learning content and contributes to improving the user experience.

[0106] A control unit according to one embodiment of the present invention collects emotion records, reviews, and data on whether practical tasks have been performed, which are input through a user input unit, classifies them based on the learning date and session, and stores them in the storage unit.

[0107] A control unit according to one embodiment of the present invention is configured to collect emotion records, reviews, and data on the performance of practice tasks entered through a user input unit, classify them based on the learning date and session, and store them in a storage unit. The control unit categorizes each data item to systematically manage data entered by the user daily, and the stored data is utilized as basic data for analyzing learning effects and providing feedback.

[0108] The control unit first collects emotion record data, converts the content written by the user into text data, and assigns learning date and session 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 information. This data is subsequently used to analyze trends in the user's emotional changes or to evaluate learning effectiveness.

[0109] In the case of review data, the control unit encourages users to input their feelings, lessons learned, and areas needing improvement during the learning process, and stores this data in text format. For example, if a user enters a review stating, "The emotion regulation method I learned today was actually useful," the control unit classifies the data by date and records it in the storage unit. Since review data reflects users' feelings about the learning content, it is effectively utilized for future improvements to the content or for analyzing the user's learning effectiveness.

[0110] Data on the completion status of practice tasks is managed during the data collection stage, which records whether the tasks performed by the user each day have been completed. The control unit classifies the results of the practice tasks entered by the user into states such as "completed," "incompleted," or "partially completed," and records the input data for each state in the storage unit. For example, if a user inputs, "I tried not to react emotionally to what others said today, but failed in some situations," the control unit classifies this as "partially completed" and stores it. This data serves as important information for analyzing the user's practice task completion rate.

[0111] The control unit stores input data based on the learning date and session, enabling independent analysis of data for each session even when the user repeatedly learns the same learning content. For example, if the same practice task is recorded as "completed" in the first session but as "incompleted" in the second session, the control unit can compare and analyze this to determine the user's progress in performing the practice task.

[0112] The control unit records the collected data in the storage unit and can provide user-customized feedback based on the data classified by category. For example, if the frequency of negative emotions increases in the user's emotion record data, the control unit can output a customized message to the user terminal, such as, "Your emotional state has recently been changing negatively. Please try applying the emotion regulation methods you learned previously." On the other hand, if the performance rate of practical tasks is high, the control unit can provide positive feedback, such as, "Consistently performing practical tasks is having a positive effect on improving your emotional state."

[0113] The control unit according to the present embodiment systematically stores and manages user input data by date and session, and can optimize the user's learning experience and support psychological improvement by analyzing learning effects or providing feedback based on the stored data. Through this, the user is provided with an environment in which they can clearly recognize their learning progress and actively participate in the learning process.

[0114] A control unit according to one embodiment of the present invention identifies response data for each round corresponding to the same question content, calculates the trend of change in emotional state and the performance rate of practical tasks, and outputs a warning message to a user terminal when at least one of a negative emotional state or non-performance of practical tasks occurs.

[0115] A control unit according to an embodiment of the present invention identifies response data for each round corresponding to the same question content and calculates the trend of change in emotional state and the performance rate of practical tasks based thereon. The control unit derives the direction of change in the user's emotional state by comparing and analyzing the response data for each round recorded in the storage unit and quantitatively calculates the performance rate of practical tasks. Through this, the user's learning effect and participation level are evaluated, and the system is configured to output a warning message to the user terminal if at least one of a negative emotional state or non-completion of practical tasks occurs.

[0116] The control unit compares the response data entered by the user in each round for the same question to analyze the trend of changes in the emotional state. For example, regarding the question "Write down how you felt today," if the response "I felt a lot of positive feelings" is recorded in the first round and the response "I had a lot of negative thoughts" is recorded in the second round, the control unit compares these to identify that the emotional state has changed negatively. This change can be derived as an overall trend of the emotional state by performing time-series analysis based on the data for each round.

[0117] The task completion rate is calculated based on data regarding task completion entered by the user. The control unit records the status of the task provided for each round as "completed," "incompleted," or "partially completed," and derives the task completion rate by calculating this as a ratio to the total number of provided tasks. For example, if 6 out of 10 tasks are recorded as "completed," the task completion rate is calculated as 60%.

[0118] The control unit outputs a warning message to the user if the results of the emotional state analysis and the performance rate of the practice task fall below the set criteria. For example, if the trend of emotional state change shows a negative direction for three consecutive times or if the performance rate of the practice task is less than 50%, the control unit outputs a warning message to the user terminal such as, "Your emotional state has recently been changing negatively. Please perform the practice task consistently or review what you have learned previously." The purpose of such messages is to encourage the user to recognize their state and to participate more actively in the learning and practice process.

[0119] The control unit outputs a warning message while simultaneously recording the corresponding state in the storage unit for future analysis of learning effectiveness. For example, if a user's task performance rate 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 strategies. Conversely, if a negative state persists even 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.

[0120] The control unit according to the present embodiment analyzes the emotional state and the progress of practical tasks in real time based on user data, and thereby provides customized feedback that can maximize learning effects. As a result, the user clearly recognizes their learning and practice process and is provided with a systematic environment that can induce continuous psychological improvement.

[0121] A control unit according to one embodiment of the present invention evaluates the user's learning progress status based on data stored after the completion of the third learning session, and the control unit calculates the trend of change in emotional state by comparing the emotional record data of the first, second, and third sessions, identifies the practice task performance rate and response data consistency to quantitatively derive the user's learning effect, and based on the results of the learning effect analysis, visualizes the user's emotional change trend and practice task performance rate in the form of a graph and summary text and outputs them to a user terminal.

[0122] A control unit according to one embodiment of the present invention evaluates the user's learning progress status based on data stored after the completion of the third learning session, and quantitatively derives the user's learning effect by analyzing the trend of change in emotional state, the practice task performance rate, and the consistency of response data. The control unit classifies emotional record data collected during the learning process by session and calculates the pattern of change in emotional state by comparing the data in a time series. In addition, the practice task performance rate is calculated based on the performance data for each session and is used as an indicator to evaluate the user's learning participation.

[0123] To analyze emotion record data, the control unit divides the records entered by the user in each round into word levels and calculates the frequency of words representing positive or negative emotions. For example, if an emotion record stating "Today I felt calm and happy" is entered in the first round, the control unit identifies words representing positive emotions such as "calm" and "happiness" and calculates a positive emotion score. If a record stating "Today was a day full of worry and difficult" is entered in the second round, the control unit identifies words representing negative emotions such as "worry" and "difficult" and calculates a negative emotion score. Based on this data, the control unit derives the trend of changes in the emotional state for each round and quantitatively evaluates whether the emotional state has changed positively or negatively.

[0124] The performance rate of the practical task is calculated based on performance data entered by the user. The control unit calculates the ratio of completed practical tasks in the first, second, and third rounds, respectively, and analyzes whether the user's participation in the practical task has increased or decreased by comparing the performance rates of each round. For example, if a performance rate of 60% was recorded in the first round and increased to 80% in the third round, the control unit identifies that the user's participation in the practical task has improved and determines this as a positive learning effect.

[0125] The consistency of response data is evaluated by comparing the responses provided by the user for each round to the same question. The control unit compares and analyzes the user's response data at the level of sentence structure and key words to verify whether the learning effect appears consistently. For example, if the responses "it was positive" and "it was happy" are entered for the first and third rounds, respectively, to the same question "Write down the emotions you felt today," the control unit classifies this as a positive response and determines it as a consistent learning effect. On the other hand, if the responses differ significantly from round to round, the control unit can identify that the learning effect is inconsistent.

[0126] The results of the learning effect analysis are visualized in the form of graphs and summary text so that users can understand them intuitively. The control unit displays the trend of changes in emotional state as a line graph along the time axis, and the performance rate of practical tasks as a bar graph for each session. For example, if the emotional state changes positively, it is displayed as an upward curve on the graph, and if the performance rate of practical tasks increases, it is visualized as the height of the bar graph gradually rising for each session. The summary text is displayed on the user terminal, including specific figures and analysis results, such as "During the 3rd learning session, the frequency of positive emotions increased by 20%, and the performance rate of practical tasks improved from 60% to 80%."

[0127] 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 utilize it for further analysis even after completing the learning process. For example, when the user starts the next learning session, customized learning content can be provided or new practical tasks can be suggested based on the result data from the previous learning session.

[0128] The control unit according to the present embodiment quantitatively derives learning effects and intuitively visualizes them to provide to the user, thereby helping the user clearly understand their learning progress and participate more actively in the learning and practice process. Through this, it maximizes the effectiveness of learning content and provides an environment that supports continuous psychological improvement.

[0129] A control unit according to one embodiment of the present invention establishes correlations between a plurality of variables based on user learning data, evaluates the user's psychological recovery state based thereon, and can utilize this for providing learning content and generating feedback.

[0130] Meanwhile, the reason the control unit establishes correlations between variables is to analyze the user's learning state and psychological changes multidimensionally, thereby precisely evaluating the comprehensive learning effects and psychological recovery process that are difficult to verify through single-variable analysis. Through this, it maximizes learning efficiency and implements technical effects capable of providing a user-customized learning experience.

[0131] User learning data consists of various elements, and each variable not only holds meaning individually but can also explain the user's learning state more accurately through interaction with other variables. For example, even if the proportion of positive words in emotion records is high, a low performance rate on practice tasks may indicate that the user merely recorded a positive state without translating it into actual behavior. Conversely, if emotional variability is low and the performance rate on practice tasks is high, it may indicate that the user is experiencing a stable psychological recovery process through learning. In this context, since it is difficult to accurately assess learning effects based solely on the analysis of a single variable, it is necessary to conduct a multidimensional analysis by establishing correlations between multiple variables.

[0132] The control unit collects user learning data, normalizes it, and converts it into an analyzable form.

[0133] In emotional records, the proportion of positive words and the practice task performance rate are established to be proportional to learning effectiveness. A high proportion of positive words and a consistently increasing practice task performance rate indicate that the user is experiencing positive psychological changes through learning.

[0134] Study time is established to have an inverse relationship with learning effectiveness. Since excessively long study times can lead to decreased learning efficiency due to accumulated fatigue, study time exceeding an appropriate range is evaluated as having a negative impact on learning effectiveness.

[0135] The training interval is set according to a logarithmic relationship. If the training interval is too short or too long, the learning effect deteriorates, and it is evaluated that the learning effect is maximized when an appropriate interval is maintained.

[0136] The number of training iterations is set in an exponential relationship with the learning effect. An initial number of training iterations rapidly increases the learning effect, but beyond a certain threshold, learning efficiency reaches saturation, and the effect of additional training iterations decreases.

[0137] The control unit identifies multiple variables based on established correlations to derive the "Psychological Recovery Index (PRI)."

[0138] It analyzes emotional record data to evaluate the ratio of positive words and combines this with the practice task completion rate to determine the user's learning engagement; measures learning efficiency by evaluating whether the learning time has exceeded an appropriate range and whether the learning interval is being maintained; prevents a decline in learning efficiency caused by excessive repetition by checking the number of repetitions; and determines whether an appropriate level of repetition has been achieved.

[0139] The psychological recovery index according to the present invention is an indicator that comprehensively represents the user's learning effect and is utilized for providing learning content and generating feedback. For example, if a high psychological recovery index is derived, the control unit provides feedback such as, "The current learning effect is 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, "The recent learning interval has been excessively short, which has reduced learning efficiency. We recommend adjusting the next learning session to two days later."

[0140] This correlation-based analysis goes beyond simply evaluating individual data to enable a comprehensive assessment of the user's learning status and psychological recovery process. This maximizes learning effectiveness, provides personalized learning content and feedback, and facilitates the multidimensional analysis and utilization of user learning data that existing technologies could not address. In particular, the control unit enhances the accuracy and reliability of the learning management system by considering complex data interactions, helping users participate in the learning process more effectively.

Claims

1. In a system for providing mental therapy services to alleviate depression and psychological disorders, A system for providing a mental therapy service for alleviating depression and psychological disorders, characterized by comprising a user terminal having: a user input unit for user input; and a display unit for displaying the screen of an application that provides a mental therapy service for alleviating depression and psychological disorders that is already installed.

2. In Paragraph 1, A server connected to the above-mentioned user terminal via a wired or wireless network; including, The above server is A storage unit that stores data within the above application; A communication unit that transmits and receives data with the above-mentioned user terminal; and A control unit that controls the operation of at least one of the above user terminal and the above server; is included, The above control unit stores learning data divided into mind parts and gender parts, and based on gender data entered by the user, divides the mind part and gender part learning data into male or female versions and provides them according to the same curriculum sequence. The above control unit provides Mind Part learning data to a user terminal by classifying it into male or female versions corresponding to the user's gender, and The above control unit classifies the sex part learning data into male or female based on the user's gender and provides it to the user terminal after learning the mind part. The above control unit provides the user with practical tasks that can be performed in daily life and records data through a user input unit that receives input on whether the said practical tasks have been performed. A system for providing a mental therapy service for alleviating depression and psychological disorders, characterized in that the above-described control unit controls the daily learning process by displaying an input screen on a user terminal to write an emotional record and a review after the learning of the sex part learning data and the mind part learning data is completed.

3. In Paragraph 2, The above control unit defines 50 days' worth of previously stored learning data for the mind part and the sex part, respectively, as one round on a daily basis, and sequentially provides the learning data for the mind part and the sex part. The above control unit distinguishes between male or female content in the mind part and gender part in correspondence with the user's gender and provides each learning content, When the first training is completed, the control unit provides the same training data repeatedly for the second and third training sessions. The above control unit classifies the emotion records, learning responses, and practice task data entered daily by the user for each session and stores them in the above storage unit, and A mind therapy service provision system for alleviating depression and psychological disorders, characterized in that the above-described control unit identifies a learning effect based on a comparison between data stored for each round whenever each round ends.

4. In Paragraph 3, The control unit retrieves question data used for writing the first review from the storage unit, extracts key phrases (SVO structures) constituting each question, changes core words among the extracted key phrases to replaceable vocabulary in a synonym database, and generates multiple question data to be used for writing the second review by changing the sentence structure of the question data used for writing the first review so that the same question is perceived by the user in a different way by rearranging the word order based on the replaced words or inserting adverbs, adjectives, or additional phrases. A mind treatment service provision system for alleviating depression and psychological disorders, characterized in that the control unit performs a natural language similarity evaluation on the plurality of question data and the question data used for writing the first review, identifies a question below a preset threshold value as the final converted question data, and provides it to the user terminal.

5. In Paragraph 4, The above control unit collects emotion records, reviews, and data on whether practical tasks have been performed entered through the user input unit, classifies them based on the learning date and session, and stores them in the above storage unit. A system for providing mental therapy services for alleviating depression and psychological disorders, characterized in that the above-mentioned control unit identifies response data for each round corresponding to the same question content, calculates the trend of change in emotional state and the performance rate of practical tasks, and outputs a warning message to a user terminal when at least one of a negative emotional state or non-performance of practical tasks occurs.

6. In Paragraph 5, The above control unit evaluates the user's learning progress status based on the stored data after the completion of the third learning session, and The above control unit calculates the trend of change in emotional state by comparing emotional record data from the first, second, and third rounds, and quantitatively derives the user's learning effect by identifying the practice task performance rate and response data consistency. A mind therapy service provision system for alleviating depression and psychological disorders, characterized by visualizing the user's emotional change trends and practice task performance rates in the form of graphs and summary text based on the above-mentioned learning effect analysis results and outputting them to a user terminal.