Method for providing smart well-life program guide by providing program guide information for supporting personalized emotional reflection and future preparation

Abstract

A method for providing a smart well-dying program guide is disclosed. The method includes the operation of, upon obtaining user identification information from an administrator, transmitting an authentication request to a user terminal corresponding to the identification information using a communication interface, transmitting orientation information in response to receiving an authentication success signal, transmitting first guide information for a first well-dying program corresponding to a first theme to the user terminal in response to receiving a first input after a first time has elapsed since the time the orientation information was provided, transmitting second guide information for a second well-dying program corresponding to a second theme to the user terminal in response to receiving a second input after a second time has elapsed since the time the first guide information was provided, and transmitting third guide information for a third well-dying program corresponding to a third theme to the user terminal in response to receiving a third input after a third time has elapsed since the time the second guide information was provided.

Description

Technology Field

[0001] The present invention relates to a technology for providing a smart well-dying program guide that provides program guide information to support personalized emotional reflection and future preparation. Background Technology

[0002] With the recent acceleration of the transition to an aging society, the demand for "well-dying" programs, which involve preparing for death and reflecting on one's life, is increasing. However, most existing programs are primarily conducted through offline group counseling, which entails significant time and spatial constraints and presents limitations in providing personalized guidance tailored to individual emotional states or life stages.

[0003] Existing psychological and emotional care programs, such as well-dying programs, are primarily structured around mental health professionals providing standardized surveys or educational content. This presents a problem in that it is difficult for users to independently experience and recognize their own emotional changes or retrospective stages. Consequently, there is a growing need for services that organically link individual emotional retrospection with future preparation.

[0004] In particular, existing well-dying programs have focused solely on "death preparation education," lacking elements that allow users to naturally reflect on their current lives and process interpersonal relationships or emotions. Therefore, it is necessary to structure the entire program process using a step-by-step and psychological approach.

[0005] Meanwhile, with the increasing penetration of user devices such as smartphones, it is now possible to provide personalized psychological guidance based on users' emotions, relationships, and record data. However, systems that integrate such digital technology into the actual well-dying process are still lacking.

[0006] Furthermore, while aging statistics are continuously being updated at the national level, there is currently no systematic system in place to reflect this data within actual well-dying programs by linking it to an individual's psychological acceptance stage or learning cycle. The problem to be solved

[0007] According to the present invention, by providing a customized program step-by-step through user authentication, it is possible to support each individual in reflecting on their life and preparing for the future in an emotionally stable state.

[0008] According to the present invention, the three-stage themes of “understanding myself,” “organizing relationships and emotions,” and “preparing for the future” are designed to proceed sequentially, thereby naturally inducing the user’s emotional change curve and maximizing psychological healing effects.

[0009] According to the present invention, by providing different interfaces (e.g., card-type questions, sample letters, balance games, etc.) at each stage, voluntary participation by the user can be induced and immersion can be enhanced.

[0010] According to the present invention, by controlling the program progression cycle based on time, the user enters the next stage after having a sufficient period of reflection, thereby enabling effective emotional transition while minimizing psychological burden.

[0011] The technical problems of the present invention are not limited to those mentioned above, and other unmentioned technical problems will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0012] A method for providing a smart well-dying program guide, which is performed by an electronic device including a processor according to an embodiment of the present invention and provides program guide information to support personalized emotional reflection and future preparation, comprises: an operation in which the processor, upon obtaining identification information of a user corresponding to a program participant from an administrator, transmits an authentication request to a user terminal corresponding to said identification information using a communication interface; an operation in which the processor, in response to receiving an authentication success signal from said user terminal, transmits orientation information including weekly program content summary information of the well-dying program to said user terminal; an operation in which the processor, in response to receiving a first input from said user terminal after a first time has elapsed since the time the orientation information was provided, transmits first guide information for a predetermined first well-dying program corresponding to a first theme corresponding to “understanding myself” to said user terminal; and an operation in which the processor, in response to receiving a second input from said user terminal after a second time has elapsed since the time the first guide information was provided, transmits second guide information for a predetermined second well-dying program corresponding to a second theme corresponding to “organizing relationships and emotions” to said user terminal. and the processor may include an operation of transmitting to the user terminal, in response to receiving a third input from the user terminal after a third time has elapsed since the time when the second guide information was provided, third guide information for a predetermined third well-dying program corresponding to a third theme corresponding to “preparing for the future”.

[0013] According to one embodiment, the second time may be longer than the first time, and the third time may be longer than the second time.

[0014] According to one embodiment, the first guide information includes at least one card interface including question text regarding memories, childhood dreams, career history, 20s, and things to be proud of; the second guide information includes three sample letter interfaces corresponding to each of a first type corresponding to an apology, a second type corresponding to gratitude, and a third type corresponding to love; and the third guide information may include a predefined balance game interface, an entry type interface associated with a current state record, a sample letter interface corresponding to a fourth type corresponding to the self, and a sample letter interface corresponding to a fifth type corresponding to a will.

[0015] According to one embodiment, the smart well-dying program guide provision method may further include the operation of providing a fourth guide information including guidance information on funeral methods and a life-sustaining treatment intention form in response to receiving a fourth input from the user terminal after a fourth time has elapsed since the time when the processor provided the third guide information, and the operation of transmitting a bucket list creation interface and a certificate image containing the user's name included in the identification information to the user terminal in response to receiving a fifth input from the user terminal after a first time has elapsed since the time when the processor provided the fourth guide information, and the fourth time may correspond to a time longer than the third time.

[0016] According to one embodiment, the balance game interface may correspond to a selection type interface that induces the selection of one of a first option corresponding to money and a second option corresponding to a dream. For example, the smart well-dying program guide providing method may further include the operation of the processor providing a predefined additional question interface for the first option when the processor receives a selection input for the first option from the user terminal, the operation of the processor receiving an answer input corresponding to the additional question interface through an input device of the user terminal, and the operation of the processor adding a question text inquiring whether there is a change regarding the selection for the first option along with the answer input to the bucket list creation interface and providing it to the user terminal.

[0017] The method of providing the above Smart Well-Dying Program Guide is,

[0018] The above processor performs the operation of verifying the age of the user using the identification information; and

[0019] The processor may further include the operation of, when the age is above a threshold age, providing a summary of social demographics periodically received from an external server in a condensed form on the “Social Context View” card at the bottom of the orientation.

[0020] The above identification information is,

[0021] It may further include a unique participant key, contact channel, program assignment cohort, default language, and time zone defined corresponding to the above-mentioned training participants.

[0022] The above orientation information is,

[0023] It may further include the program's purpose, overall structure, summary of weekly goals, materials and precautions, summary of consent for personal information processing, channels for requesting help, and guidance on the expected emotional change curve.

[0024] The above orientation information is,

[0025] It is generated through a combination of dynamic data including participant profiles, course length, and statistical summaries and a predefined template, and an automatic layout determined by the screen size of the user terminal and the presence or absence of an assistive device may be applied.

[0026] The method of providing the above Smart Well-Dying Program Guide is,

[0027] The above processor performs the operation of dynamically adjusting the card order by referring to standard psychological education guidelines provided from an external server and internally accumulated data;

[0028] The operation of the processor providing the first guide information, in which relatively light questions are placed at the top, to the user terminal when the recent response speed and dwell time of the training participant are classified as being smaller than a predefined speed and standard dwell time; and

[0029] The above processor may further include the operation of providing the first guide information, in which a predefined deepening card is placed on the front, to the user terminal when the above processor is classified as having a recent response speed and a dwell time greater than the above predefined speed and the above standard dwell time of the training participant.

[0030] The method of providing the above Smart Well-Dying Program Guide is,

[0031] The above processor may further include the operation of providing a rest notification and a “get help” button to the user terminal (210) when it receives a predefined risk keyword from the user terminal more than a threshold number of times.

[0032] The above method for providing a smart well-dying program guide may further include: an operation in which the processor checks the age of the user using the identification information; and an operation in which, if the age of the user exceeds a threshold age, the processor sets the size of the text included in the first guide information to the fourth guide information to a size proportional to the age of the user and provides it to the user terminal. Effects of the invention

[0033] The effects of the smart well-dying program guide provision system and method according to embodiments of the present invention are described as follows.

[0034] According to the present invention, by providing a customized program step-by-step through user authentication, it is possible to support each individual in reflecting on their life and preparing for the future in an emotionally stable state.

[0035] According to the present invention, the three-stage themes of “understanding myself,” “organizing relationships and emotions,” and “preparing for the future” are designed to proceed sequentially, thereby naturally inducing the user’s emotional change curve and maximizing psychological healing effects.

[0036] According to the present invention, by providing different interfaces (e.g., card-type questions, sample letters, balance games, etc.) at each stage, voluntary participation by the user can be induced and immersion can be enhanced.

[0037] According to the present invention, by controlling the program progression cycle based on time, the user enters the next stage after having a sufficient period of reflection, thereby enabling effective emotional transition while minimizing psychological burden.

[0038] In addition, various effects that can be identified directly or indirectly through this document may be provided. Brief explanation of the drawing

[0039] FIG. 1 is a block diagram showing the components of an electronic device according to one embodiment of the present invention. FIG. 2 illustrates an exemplary block diagram showing the components of a smart well-dying program guide providing system including an electronic device according to one embodiment of the present invention. FIG. 3 is a flowchart of the operation of a method for providing a smart well-dying program guide according to one embodiment of the present invention. FIG. 4 is a flowchart of the operation of a method for providing a smart well-dying program guide according to one embodiment of the present invention. FIG. 5 is a flowchart of the operation of a method for providing a smart well-dying program guide according to one embodiment of the present invention. In relation to the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Specific details for implementing the invention

[0040] Hereinafter, some embodiments of the present invention will be described in detail with reference to exemplary drawings. It should be noted that in assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the embodiments of the present invention, if it is determined that a detailed description of related known components or functions would hinder understanding of the embodiments of the present invention, such detailed description is omitted.

[0041] In describing the components of the embodiments of the present invention, terms such as first, second, A, B, (a), (b), etc., may be used. These terms are intended merely to distinguish the components from other components, and the essence, order, or sequence of the components is not limited by the terms. Furthermore, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by those skilled in the art to which the present invention pertains. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and should not be interpreted in an ideal or overly formal sense unless explicitly defined in this application.

[0042] Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 5.

[0044] FIG. 1 is a block diagram showing the components of an electronic device according to one embodiment of the present invention.

[0045] According to one embodiment, the electronic device (100) may include a memory (110), a processor (120), a communication interface (130), and / or a display device (140). The configuration of the electronic device (100) shown in FIG. 1 is exemplary and the embodiments of the present invention are not limited thereto. For example, the electronic device (100) may further include components not shown in FIG. 1 (e.g., a web crawler, a user interface, an input device, a notification unit, a sensor unit, or at least one of any combination thereof).

[0046] According to one embodiment, the memory (110) may store instructions or data. For example, the memory (110) may store one or more instructions that cause the electronic device (100) to perform various operations when executed by the processor (120).

[0047] For example, the memory (110) may be implemented as a single chipset with the processor (120). The processor (120) may include at least one of a communication processor or a modem.

[0048] For example, the memory (110) can store various information related to the electronic device (100). For example, the memory (110) can store information regarding the operation history of the processor (120). For example, the memory (110) can store input data acquired by the electronic device (100), output data output by the electronic device (100), data acquired from an external device (e.g., user terminal (210) and / or external server (220)), etc.

[0049] For example, the memory (110) may include multiple storage devices of different types. For example, the memory (110) may include volatile and / or non-volatile storage media. For example, the memory (110) may include at least one of RAM (random-access memory), ROM (read only memory), eMMC (Embedded Multi-Media Card), or any combination thereof.

[0050] The steps of the method or algorithm described in connection with the embodiments disclosed in this specification may be directly implemented in hardware, software modules, or a combination of both, executed by the processor (120). The software modules may reside in a storage medium (i.e., memory (110)) such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, or a CD-ROM.

[0051] For example, the memory (110) is coupled to a processor (120), and the processor (120) can read information from a storage medium and write information to a storage medium. Alternatively, the memory (110) may be integrated with the processor (120). The memory (110) and the processor (120) may reside within an application-specific integrated circuit (ASIC). The ASIC may reside within a user terminal. Alternatively, the memory (110) and the processor (120) may reside as separate components within the user terminal.

[0052] According to one embodiment, the processor (120) may be operatively connected to the memory (110), the communication interface (130), and / or the display device (140). For example, the processor (120) may control the operation of the memory (110), the communication interface (130), and / or the display device (140).

[0053] According to one embodiment, the communication interface (130) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between an electronic device (100) and an external device (e.g., user terminal (210) of FIG. 2, external server (220), and database, etc.), and the performance of communication through the established communication channel. The communication interface (130) may include one or more communication processors that operate independently of the processor (120) (e.g., application processor) and support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication interface (130) may include a wireless communication module (e.g., cellular communication module, short-range wireless communication module, or GNSS (global navigation satellite system) communication module) or a wired communication module (e.g., LAN (local area network) communication module, or power line communication module). The corresponding communication module among these communication modules can communicate with an external electronic device through a first network (e.g., a short-range communication network such as Bluetooth, WiFi (wireless fidelity) direct, or IrDA (infrared data association)) or a second network (e.g., a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a long-range communication network such as a computer network (e.g., LAN or WAN). These various types of communication modules may be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module can identify or authenticate the electronic device (100) within a communication network, such as the first network or the second network, using subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in a subscriber identification module.

[0054] According to one embodiment, the display device (140) may include at least one output device that provides various information and a user interface to an administrator (e.g., an administrator of a smart well-dying program guide provision service).

[0055] For example, the display device (140) may include a display device, an audio output device, a virtual reality output device, etc.

[0056] For example, the display device (140) can provide the administrator with various types of user interfaces described in the present disclosure visually and / or audibly.

[0057] The components of the electronic device (100) illustrated in FIG. 1 are exemplary, and the embodiments of the present disclosure are not limited thereto.

[0058] At least some of the embodiments of the present disclosure may be implemented as artificial intelligence (AI) through a processor (120) and memory (110) of an electronic device (100). The processor (120) may be composed of one or more processors, and the one or more processors may be general-purpose processors such as a CPU, AP, DSP (digital signal processor), etc., graphics-dedicated processors such as a GPU, VPU (vision processing unit), or artificial intelligence-dedicated processors such as an NPU. The one or more processors may be controlled to process input data according to predefined operation rules or artificial intelligence models stored in memory (110). Alternatively, if the one or more processors are artificial intelligence-dedicated processors, the artificial intelligence-dedicated processors may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0059] The predefined operation rules or artificial intelligence models are characterized by being created through learning. Here, being created through learning means that a predefined operation rules or artificial intelligence models configured to perform a desired characteristic (or purpose) are created by a basic artificial intelligence model being trained using a number of learning data by a learning algorithm. Such learning may be performed within the electronic device (100) itself where the artificial intelligence according to the present disclosure is performed, or it may be performed through a separate server and / or system. Examples of learning algorithms include supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the examples described above.

[0060] An artificial intelligence model may be composed of multiple neural network layers. Each of the multiple neural network layers has multiple weight values ​​and can perform neural network operations through operations between the results of previous layers and the multiple weights. The multiple weights possessed by the multiple neural network layers can be optimized based on the learning results of the artificial intelligence model. For example, the multiple weights can be updated so that the loss value or cost value obtained from the artificial intelligence model during the learning process is reduced or minimized. Artificial neural networks may include, but are not limited to, deep neural networks (DNN), convolutional neural networks (CNN), recurrent neural networks (RNN), restricted Boltzmann machines (RBM), deep belief networks (DBN), bidirectional recurrent deep neural networks (BRDNN), or deep Q-networks.

[0061] The artificial intelligence model can classify text data included in emotional recall responses (e.g., childhood memories, things to be proud of, etc.) within the first guide interface input from the user terminal using a natural language processing (NLP)-based sentiment analysis model.

[0062] For example, if the proportion of positive emotional words in the user's response is determined to be less than 30%, the AI ​​model may prioritize placing a guide interface of the 'apology letter' type when proceeding with the second theme program corresponding to "organizing relationships and emotions".

[0063] Through this, the system can enhance emotional immersion and resilience by providing an emotional reflection sequence tailored to the user's inner state.

[0064] The artificial intelligence model can calculate each user's 'Learning Acceptance Index (LAI)' using data such as age, occupation group, family composition, and religious orientation included in user identification information obtained from the manager as input values, through a pre-trained psychological and behavioral pattern prediction model.

[0065] For example, if a user is classified as having severed family ties, the AI ​​model can dynamically change the scenario to prioritize displaying a 'self-reflection letter' instead of a 'thank-you letter' when proceeding with the program for the second theme, "Organizing Relationships and Emotions."

[0066] Through this, the electronic device can automatically adjust guide sequences tailored to each user's emotional state even within the same program structure.

[0067] The artificial intelligence model can automatically adjust the level of difficulty of understanding of the program by analyzing behavioral data, such as dwell time, input response length, and number of retries collected from the user terminal after providing a guide for each step.

[0068] For example, if the user's input response length in the first guide information is significantly shorter than the average and the interface exit frequency is high, the AI ​​model can be controlled to prioritize providing a choice-based structure, such as a balance game, instead of a card-based interface in the next step.

[0069] Through this, the system can reduce learning fatigue for each user and increase the rate of sustained program participation.

[0070] The artificial intelligence model can classify the user's participation tendencies based on the user's entire program progress log (e.g., participation time, response patterns, emotional change indicators, etc.) and generate completion feedback messages corresponding to this.

[0071] For example, if a user is classified as a 'retrospective participant,' a certificate image containing a phrase such as “Your memories will be an inspiration to someone” can be automatically generated, and if classified as a 'future-oriented participant,' a message such as “Your will for the future is respected” can be inserted.

[0072] Through this, the program can go beyond simple completion confirmation and provide users with a meaningful sense of emotional fulfillment.

[0074] FIG. 2 is a block diagram showing the components of a smart well-dying program guide providing system including an electronic device according to one embodiment of the present invention.

[0075] According to one embodiment, the smart well-dying program guide providing system may include an electronic device (100), a user terminal (210), and an external server (220).

[0076] According to one embodiment, the electronic device (100) may be implemented as a central server or cloud platform of the smart well-dying program guide providing system of the present invention and may include a processor (110), memory (120), and a communication interface (130).

[0077] When the electronic device (100) receives identification information of a user corresponding to a program participant from an administrator, it can transmit an authentication request to a user terminal (210) using a communication interface (130), and when it receives an authentication success signal, it can provide orientation information to the user terminal (210).

[0078] The electronic device (100) manages the user's participation time, program theme, and time elapsed conditions (e.g., first time, second time, third time, fourth time, etc.), and can dynamically adjust the program progression order for each stage.

[0079] The electronic device (100) can use a deep learning-based sentiment analysis model to analyze retrospective text or letter-type input data input from a user terminal (210) and dynamically adjust the guide content of the next step according to the sentiment classification result.

[0080] As an example, if the user’s negative emotion rate is analyzed to be high while the “Understanding Me (e.g., Theme 1)” program is in progress, the electronic device (100) may apply a learned sequence model to prioritize providing a sample letter interface of the ‘apology’ type while the “Relationship and Emotion Management (e.g., Theme 2)” program is in progress.

[0081] The electronic device (100) can sequentially generate customized guides for each theme, such as “understanding myself,” “organizing relationships and emotions,” and “preparing for the future,” by referring to program schedule data stored in memory and question and letter templates for each theme, according to the user’s progress and time intervals.

[0082] At this time, the second time is set to be longer than the first time and the third time is set to be longer than the second time, so that the time control module can be dynamically adjusted to ensure a sufficient emotional recovery cycle between each stage.

[0083] The electronic device (100) can update orientation information containing social background information in real time by inputting data such as the domestic aging status, elderly dependency ratio, and distribution of nursing facilities, which are received in real time from an external server (220), into an AI statistics reflection module. In addition, the electronic device (100) can form a feedback loop for future program reorganization or user-customized curriculum improvement by utilizing the statistical data as training data for a predictive update model.

[0084] After providing third guide information and fourth guide information, the electronic device (100) receives evaluation data input from the user terminal (210) and analyzes response time, emotional consistency, input frequency, etc. through an artificial intelligence evaluation analysis module to determine whether the completion criteria are met. For example, in the case of a user who has exceeded the standard score, the electronic device (100) can generate a digital certificate image with the user's name written on it through a certificate image generation module and transmit it to the user terminal (210).

[0085] According to one embodiment, the user terminal (210) may be implemented as a smartphone, tablet, or laptop, and may receive and display orientation information, step-by-step program guide information, and an evaluation interface through communication with the electronic device (100).

[0086] After logging in, the user terminal (210) can sequentially display step-by-step UIs leading to an orientation screen, a first theme “Understanding Myself” screen, a second theme “Organizing Relationships and Emotions” screen, a third theme “Preparing for the Future” screen, and a completion evaluation screen.

[0087] The user terminal (210) can collect user interaction data such as input time, response length, and scroll frequency, and transmit it to the electronic device (100) to support the use of the artificial intelligence model for personalized learning.

[0088] The user terminal (210) may include an accessibility correction function that automatically adjusts text size, color contrast, and voice guidance functions according to the user's eyesight, age, and device resolution.

[0089] The user terminal (210) can induce the user to choose between 'money' and 'dream' through a balance game interface provided as third guide information, and after the selection, automatically insert an additional question interface and text asking "whether there is a change in the choice" into the bucket list creation page and display it to the user.

[0090] The user terminal (210) can customize the tone or example sentence of the next question by reflecting the user's previous selection tendency through an interaction module within the UI.

[0091] The user terminal (210) can visually display the reflection keywords recommended by AI, the emotion summary graph, and the participation time by theme during the program. Additionally, the user terminal (210) can generate an emotion summary report at the end of each stage to support the user in experiencing their own changes.

[0092] According to one embodiment, an external server (220) can collect data such as population by age, mortality rate, funeral culture statistics, and nursing personnel status through public APIs provided by the National Statistical Office, the Ministry of Health and Welfare, the Ministry of the Interior and Safety, etc., and transmit it to an electronic device (100) at predetermined intervals. The electronic device (100) can analyze this data in an AI statistics reflection module and reflect it in real-time in orientation and theme-based explanation guides.

[0093] An external server (220) can provide indicators such as the rate of aging in a specific region, the proportion of elderly people living alone, and access to medical care to the electronic device (100) to enhance the social context of the program. Through this, users can perceive death preparation education more realistically by comparing their lives with social statistics.

[0094] An external server (220) receives program participation logs and completion rate data for a specific period from an electronic device (100) and can form a backend feedback loop that allows policy agencies or research institutions to analyze the educational effects. Through this, the electronic device (100) can simultaneously secure public data connectivity and sustainability of the program.

[0095] The smart well-dying program guide providing system according to the present invention can realize an intelligent well-dying program ecosystem combined with emotional reflection and social insight by having an electronic device (100) responsible for AI-based analysis and content control, a user terminal (210) providing a personalized learning experience, and an external server (220) supporting real-time social statistical data.

[0096] Through this, users can step-by-step carry out a psychological journey of reflecting on their lives and preparing for the future, while managers can simultaneously improve the quality and efficiency of the program.

[0098] FIG. 3 is a flowchart of the operation of a method for providing a smart well-dying program guide according to one embodiment of the present invention.

[0099] According to one embodiment, an electronic device (e.g., the electronic device (100) of FIG. 1) may perform the operations disclosed in FIG. 3. For example, at least some of the components included in the electronic device (e.g., the memory (110), processor (120), communication interface (130), and display device (140) of FIG. 1 may be configured to perform the operations of FIG. 3.

[0100] In the following embodiments, the operations S310 to S350 may be performed sequentially, but are not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel. Additionally, content corresponding to or overlapping with the above description in relation to FIG. 3 may be briefly explained or omitted.

[0101] According to one embodiment, when the processor (120) obtains identification information of a user corresponding to an education participant from an administrator, it can transmit an authentication request to a user terminal corresponding to the identification information using a communication interface (S310).

[0102] For example, when the processor (120) receives identification information of a user corresponding to a training participant from a management console (or, administrator UI), it can send an authentication request to a user terminal (210) through a communication interface.

[0103] For example, identification information may include at least one of the user's name, date of birth, mobile phone number, email, occupation, internal ID of the program database, and one-time token. Identification information may be stored masked or tokenized in accordance with the principle of minimum collection under personal information protection regulations.

[0104] Additionally or generally, identification information may include a participant unique key (e.g., internal participant ID), one or more of a contact channel (e.g., mobile phone number, email, app push token), program assignment cohort (e.g., 12-week course cohort 3), primary language, time zone (e.g., Asia / Seoul), etc.

[0105] For example, the processor (120) may grant a predetermined validity period (e.g., 15 minutes) to the authentication link and switch to a retransmission procedure if it fails three or more times. Additionally, the processor (120) may provide a voice code reading (text-to-speech conversion) button on the authentication screen in consideration of elderly students.

[0106] For example, the processor (120) performs communication for the authentication procedure over TLS, and the link may include an HMAC signature and an expiration timestamp. Additionally, the processor (120) preserves the authentication request and authentication response as an audit log (e.g., hashed user ID, timestamp, channel), and statistically analyzes the reasons for authentication failure to reflect them in subsequent UI improvements (font size, button position, etc.).

[0107] For example, the processor (120) can first check the real-time registration status of the training participant (e.g., duplicate, withdrawn, dormant) based on the participant's unique key included in the identification information, and determine the priority of the communication channel according to a policy table (e.g., in the order of app push → SMS → email).

[0108] For example, when a 68-year-old participant receives an authentication link based on an app notification from an electronic device (100) through a user terminal, the electronic device (100) can provide an authentication screen to the user terminal as soon as the participant taps the authentication link, and the provided screen can minimize the participant's anxiety by providing a “Start Identity Verification” button along with the token's validity period (e.g., 10 minutes), contact information, etc.

[0109] According to one embodiment, the processor (120) may transmit orientation information to the user terminal, including weekly program content summary information of the well-dying program, in response to receiving an authentication success signal from the user terminal (S320).

[0110] For example, when the processor (120) receives an authentication success signal, it may transmit orientation information to the user terminal (210). The orientation information may be extracted from a lecture plan database and may include an overview of the educational program, goals, service needs, prospects, and real-time domestic aging status with a predefined configuration. The display unit may be divided into card-type sections (e.g., overview, goals, must-read items, education status, precautions).

[0111] For example, elderly users can immediately adjust readability through a text enlargement slider and prioritize loading content in low-resolution summary mode when the network is unstable. If the statistics API of the external server (220) is temporarily incorrect, the processor (120) can use a recent cache (e.g., data within 24 hours) and specify the “statistics update time” on the screen to ensure reliability.

[0112] For example, orientation information may include the program's purpose (e.g., personalized emotional reflection and future preparation), the overall structure (e.g., Orientation → Theme 1 “Understanding Myself” → Theme 2 “Organizing Relationships and Emotions” → Theme 3 “Preparing for the Future” → Follow-up Instructions), a summary of weekly goals (e.g., key activities and estimated time for each week), materials and precautions, a summary of consent for personal information processing, channels for requesting help, and guidance on the expected emotional change curve.

[0113] For example, the processor (120) can help the training participant understand the personal reflection process within a social context by providing a summary of social demographics (e.g., regional aging rate, old-age dependency ratio trend) periodically received from an external server (220) in a condensed form on the “View Social Context” card at the bottom of the orientation.

[0114] As an example, based on prior data showing that the perceived difficulty of “re-establishing relationships” and “future planning” was high for training participants in their mid-40s, the estimated time required for these two sections and points of caution (e.g., pausing in case of emotional overload, securing recovery time) can be highlighted along with visual icons.

[0115] For example, orientation information is generated by combining templates and dynamic data (e.g., participant profiles, course length, statistical summaries), and an automatic layout can be applied based on the screen size of the user's device and the presence of assistive devices (e.g., screen reader, Bluetooth remote).

[0116] According to one embodiment, the processor (120) may, in response to receiving a first input from a user terminal after a first time has elapsed since the time when orientation information was provided, transmit first guide information for a first well-dying program corresponding to a first theme corresponding to “understanding me” to the user terminal (S330).

[0117] For example, when the processor (120) receives a first input (e.g., a touch input for the education program start button, an input selecting “start” after viewing a push notification, an input agreeing to a schedule, etc.) from the user terminal (210) after a first time (e.g., one week) has elapsed based on the time of providing orientation, the processor (120) can transmit first guide information of the “Understanding Me” theme to the user terminal (210).

[0118] For example, the first guide information may include at least one card interface containing question text about memories, childhood dreams, career history, 20s, and things to be proud of.

[0119] For example, each card included in the card-based interface contains input options (e.g., text, voice transcription, photo attachment) and example views (e.g., writing prompt hints, reflection prompts), allowing even users unfamiliar with writing to easily get started.

[0120] For example, the processor (120) can dynamically adjust the order of cards by referring to standard psychological education guidelines provided from an external server (220) and internal accumulated data (e.g., anonymized response patterns of previous participants). For example, users classified as having a pattern of short recent response speeds and dwell times (or users classified as having recent response speeds and dwell times smaller than predefined speeds and standard dwell times) may have relatively light questions (“things to be proud of”) placed at the top to induce success experiences first, while conversely, users with high engagement (or users classified as having recent response speeds and dwell times larger than predefined speeds and standard dwell times) may have deepening cards (“turning points in career history”) placed at the front.

[0121] For example, the processor (120) can automatically save partial writing by setting a short answer saving period in terms of securing input, and can provide noise removal and punctuation correction functions when voice input is provided.

[0122] Additionally, or generally, if predefined risk keywords (e.g., loss, regret, death, etc.) that can detect emotional overload are repeated, a rest notification and a “get help” button (e.g., a button guiding you to agency counseling) can be provided to the user terminal (210).

[0123] For example, to protect personal information, de-identification rules are applied to sensitive expressions upon storage, and users can edit, modify, and / or delete them at any time.

[0124] For example, the processor (120) can provide guidance information by enabling “large font mode” by default when it identifies that the user has exceeded the threshold age.

[0125] According to one embodiment, the processor (120) may, in response to receiving a second input from a user terminal after a second time has elapsed since the time when the first guide information was provided, transmit second guide information for a second well-dying program corresponding to a second theme corresponding to “organizing relationships and emotions” to the user terminal (S340).

[0126] For example, when the processor (120) receives a second input (e.g., input to proceed to the next step, input to confirm a new notification, input to agree to a schedule) from the user terminal (210) after a second time (e.g., 2 weeks) longer than the first time has elapsed, it can transmit second guide information of the “organizing relationships and emotions” theme to the user terminal (210).

[0127] For example, the second guide information may include three sample letter interfaces corresponding to each of the first type corresponding to an apology, the second type corresponding to gratitude, and the third type corresponding to love.

[0128] For example, the second guide information includes sample letter interfaces for three types of apology, gratitude, and love, and each type may include a template that includes a framework for an introduction (e.g., a sentence presenting the context of the relationship), body structure (e.g., facts, feelings, requests, and pledges), and closing remarks.

[0129] For example, the processor (120) can personalize the display order of the first type, second type, and third type by analyzing relationship keywords (e.g., parents, colleagues, teachers, friends, etc.) and emotional polarity information collected through the user terminal (210) during the process of providing the first guide information.

[0130] As an example, for users classified as having recurring conflicts with parents, an "apology" type can be placed on the first screen, and for users classified as having difficulty expressing emotions, short sentence examples of the "gratitude" type can be placed on the first screen.

[0131] Meanwhile, the processor (120) provides a letter transmission interface to the user terminal (210) that is implemented to select whether to actually deliver the letter to the recipient, thereby allowing the user to directly select whether to actually deliver the letter, and even if the selection is not to deliver, it can guide the user to complete the process with only internal storage and self-signing with the goal of a self-healing effect.

[0132] For example, the letter interface may include safety features such as a sentence length guide, a tone control slider (e.g., soft? firm), and warnings for prohibited expressions.

[0133] According to one embodiment, the processor (120) may, in response to receiving a third input from a user terminal after a third time has elapsed since the time when the second guide information was provided, transmit third guide information for a third well-dying program corresponding to a third theme corresponding to “preparing for the future” to the user terminal (S350).

[0134] For example, when the processor (120) confirms a third time (e.g., 3 weeks) longer than the second time and a third input (e.g., future preparation phase start input) from the user terminal (210), the electronic device (100) can provide third guide information with the theme of “future preparation”.

[0135] For example, the third guide information may include a predefined balance game interface, an entry interface associated with a current state record, a sample letter interface corresponding to a fourth type corresponding to the self, and a sample letter interface corresponding to a fifth type corresponding to a will.

[0136] For example, the third guide information may include a predefined balance game interface, an entry type interface for recording the current state, a fourth type of sample letter interface corresponding to the self, and a fifth type of sample letter interface corresponding to a will.

[0137] For example, the balance game is a value exploration activity regarding life priorities, presenting binary choices such as “money vs. dreams” as an example, and after the choice, additional questions about why that choice was made (e.g., real-world constraints, alternative possibilities, time allocation plans) may be provided to the user terminal (210).

[0138] For example, the processor (120) can adjust the depth and number of questions by taking into account the user's past step input (e.g., results of reflection and relationship cleanup) and current psychological fatigue, and can display a step progress indicator (e.g., 2 steps out of 4) fixed at the top of the screen to prevent excessive cognitive load.

[0139] For example, a current status record interface may include preparation items for health, finance, relationships, caregiving, residence, and legal documents (e.g., advance directives, etc.) implemented in the form of checklists and / or memos. Each preparation item may be implemented to allow assigning a status of “immediately actionable,” “needs additional information,” or “review later.”

[0140] For example, a Type 4 sample letter interface (or self-letter interface) can be implemented to provide sentence examples that mitigate excessive perfectionism or other-oriented phrases by focusing on self-affirmation, expectations, and acknowledging limitations.

[0141] For example, a sample letter interface of Type 5 (or a will letter interface) may include a narrative framework implemented around the delivery of relationship restoration messages and life values, while clearly notifying that it is not legally binding.

[0142] Additionally or generally, the processor (120) can support the training participant in improving the feasibility of actual execution by presenting bucket list design tips (e.g., sub-goals, deadlines, resource allocation) as context cards when the user's value choices conflict (e.g., selecting 'dreams' in a balance game but later indicating financial insecurity among the check items).

[0143] In the example described above, the first time may be one week, the second time may be two weeks, and the third time may be three weeks. This has technical significance in that the psychological tempo of the program progression is designed by taking into account the user's emotional recovery cycle and cognitive capacity.

[0144] Typically, participants in a well-dying program go through emotionally distinct stages of reflecting on the past, sorting out relationships, and preparing for the future, with each stage differing in emotional fatigue and depth of self-insight.

[0145] The first period (e.g., one week) is an initial adaptation period and a segment with a relatively low burden of self-reflection, representing the minimum cycle during which the user can digest the orientation content and complete the first reflection activity.

[0146] The second period (e.g., two weeks) is set as a psychological maturation period for the relationship settlement and emotional expression stage, stabilizing the emotional response triggered in the previous stage and naturally inducing emotional transference to the next stage.

[0147] The third period (e.g., three weeks) is a stage requiring long-term thinking, such as future planning and value selection, and provides the user with sufficient time to consider the balance between realistic constraints and ideals.

[0148] In this way, by gradually extending the time interval (e.g., 1 week → 2 weeks → 3 weeks), the program can achieve technical effects that simultaneously improve users' psychological resilience, immersion, and sustained participation rate.

[0149] Specifically, a minimum one-week interval between each stage prevents the accumulation of emotional fatigue and aligns with the brain's memory reconsolidation cycle, helping the retrospective experience stabilize into long-term memory. Furthermore, if an AI model that learns the differences in time intervals between stages based on data is applied, the system can analyze individual response speeds (e.g., response text length, dwell time, reconnection interval, etc.) and automatically recommend an optimized cycle to the participant.

[0150] Therefore, gradual time control in units of 1, 2, and 3 weeks functions not merely as a simple schedule adjustment, but as a technical design element that enhances the stability and personalization precision of the program by providing quantitative criteria to the detailed psychological stages of emotional relief, expression, and preparation for execution.

[0152] FIG. 4 is a flowchart of the operation of a method for providing a smart well-dying program guide according to one embodiment of the present invention.

[0153] According to one embodiment, an electronic device (e.g., the electronic device (100) of FIG. 1) may perform the operations disclosed in FIG. 4. For example, at least some of the components included in the electronic device (e.g., the memory (110), processor (120), communication interface (130), and display device (140) of FIG. 1 may be configured to perform the operations of FIG. 4.

[0154] In the following embodiments, the operations S410 to S420 may be performed sequentially, but are not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel. Additionally, content corresponding to or overlapping with the above description in relation to FIG. 4 may be briefly explained or omitted.

[0155] According to one embodiment, the processor (120) may provide fourth guide information including guidance information on funeral methods and a life-sustaining treatment intention form in response to receiving a fourth input from the user terminal after a fourth time has elapsed since the time when the third guide information was provided (S410).

[0156] For example, the processor (120) may measure a fourth time (e.g., 4 weeks) longer than the third time based on the time when the third guide information corresponding to “preparing for the future” is provided, and in response to receiving a fourth input (e.g., one or more explicit inputs such as “proceed to the next step,” “view life-sustaining medical care guide,” or “find out funeral method”) from the user terminal (210) after the fourth time has elapsed, provide the fourth guide information including funeral method and life-sustaining medical care directive guidance to the user terminal (210).

[0157] For example, the fourth guide information may consist of conceptual guidance for selecting a funeral method (e.g., cremation / burial / natural burial / memorial service, etc.), basic concepts related to living decision-making (e.g., general categories of life-sustaining medical care, meaning and limitations of advance directives), a checklist for communication with family and representatives, a “View additional information” card linking to a regional information center, and a short reflection prompt of 1 to 3 questions to confirm personal values.

[0158] For example, the processor (120) can minimize user judgment fatigue by organizing a concept guide that summarizes minimal definitions, advantages and disadvantages, and cost categories to prevent misunderstanding.

[0159] For example, the processor (120) can enhance practical applicability by providing a communication checklist that includes a simulation corresponding to the procedure of sharing key decisions with family and / or medical staff.

[0160] For example, a reflection prompt can be implemented in a form that helps check value-behavior consistency, such as “Why am I trying to make this choice?”

[0161] As an example, if the education participant is 62 years old and, after the third guide information is provided, the education participant selects 'dream' as a priority but indicates "additional information needed" in the financial item, then, in the situation where the fourth input is received after the fourth time has elapsed, the processor (120) may place a funeral method overview card at the top and immediately below it provide "5 questions to talk to family" in the form of a checklist (e.g., scale of funeral, whether religious ceremonies are performed, method of commemoration, organization of personal belongings / digital legacy, cost limit) to the user terminal (210).

[0162] For example, the processor (120) can automatically select a summary suitable for the region, age group, and device language using a standard terminology dictionary and public guidance link metadata provided by an external server (220).

[0163] As a result, the fourth guide information forms a three-step decision-making preparation loop of understanding information, family conversation, and checking personal values, which can support users in making self-decisions without a lack of information or emotional pressure.

[0164] Furthermore, the limitation of the fourth stage to four weeks (approximately 28 days) is not merely a simple schedule setting, but rather a technical design intended to quantitatively secure a balance between the user's emotional recovery cycle, cognitive reconsolidation, and behavioral preparation. The well-dying program includes the initial stages of self-reflection (or Theme 1), relationship management (or Theme 2), and future preparation (or Theme 3), followed by the final stage of practical decision-making and documentation preparation (or The Process of Providing Guide Information for the Fourth Stage). Since this stage requires users to make significant, realistic decisions regarding "funeral arrangements," "advance directives," "family conversations," and "financial and legal settlements," there is a high likelihood of accumulating psychological fatigue and information overload if it is followed by the same short intervals (1–3 weeks) as the previous stages. Accordingly, in the present invention, by setting the fourth time to four weeks, the user can secure an emotional consolidation period of about one month.

[0165] This period aligns with the recovery cycle (2–4 weeks) and neurological memory reorganization cycle (about 21–30 days) recommended in actual psychological counseling research, thereby inducing the user to stably process “life review” and “future decision” as separate cognitive systems.

[0166] In addition, the fourth time (e.g., four weeks) is synchronized with the update cycle (e.g., monthly) of social statistical data (e.g., aging rate, medical infrastructure, funeral culture trends) collected by the electronic device (100) from an external server (220), thereby enabling the processor (120) to include guidance information reflecting the latest data in the fourth guide information, and thus simultaneously achieving technical alignment with the learning and update cycle of the AI ​​statistical reflection module. That is, by implementing the fourth time in four-week units, it functions as a dual optimal interval that accommodates both the human emotional recovery curve and the system's data update cycle.

[0167] In addition, the processor (120) can technically resolve the problems of “emotional exhaustion” and “formal participation” of existing short-term / continuous well-dying programs by setting the fourth time to four weeks.

[0168] First, the four-week interval provides a psychological detachment effect. That is, it allows users to review the values ​​and plans established during the third theme stage (e.g., preparing for the future) in a stable state rather than an emotionally heightened one, thereby minimizing decision-making distortions (e.g., regret, avoidance, self-consoling decisions). As a result, the accuracy and authenticity of choices regarding funeral arrangements and advance directives provided in the fourth guide information can be enhanced.

[0169] Secondly, a 4-week cycle can improve the program's retention rate. For example, at intervals of 3 weeks or less, users feel a cognitive burden of having to start a new topic before the previous stage is even finished, but a 4-week interval creates a sense of temporal discontinuity of "a new beginning after the end of one cycle," which can improve the psychological motivation recovery rate of the participants. In particular, the electronic device (100) of the present invention can train an AI predictive update model with log data collected over 4 weeks (e.g., frequency of reconnection, change in emotional keywords, time spent) to calculate customized reminder timing based on each user's rest and immersion patterns. By doing so, the system can achieve a personalized effect that is differentiated from existing systems, such as control of resume timing customized to each user's emotional recovery curve.

[0170] Third, the 4-week time setting is clearly distinguished from existing weekly or session-based programs (e.g., 10 days or less) in that it is a hybrid design that integrates social data cycles and human psychological cycles. In other words, the present invention is not merely a simple schedule control, but a design based on a dual time axis of “AI data synchronization cycle + human emotional stabilization cycle,” which can evolve a well-dying program into an emotional, cognitive, and socially integrated model.

[0171] Consequently, the present invention, which sets the fourth time to four weeks, has a distinctive effect of maximizing the efficiency of system data updates and AI learning, and increasing long-term program continuity while ensuring the user's emotional recovery, cognitive integration, and decision-making accuracy. This forms a technical differentiation that is essentially distinct from existing simple education time control methods in that it is an “AI-based education and guidance system combining a psychological rest cycle and a system update cycle.”

[0172] According to one embodiment, the processor (120) may, in response to receiving a fifth input from a user terminal after a first time has elapsed since the time when the fourth guide information was provided, transmit a bucket list creation interface and a certificate image containing the user's name included in the identification information to the user terminal (S420).

[0173] For example, the processor (120) measures a first time (e.g., one week) based on the time of providing the fourth guide information, and when it receives a fifth input (e.g., “start final cleanup,” “create bucket list,” “confirm completion”) from the user terminal (210) after the first time has elapsed, it may provide the user terminal (210) with a bucket list creation interface and an image of a certificate of completion containing a name included in the user identification information.

[0174] For example, the bucket list interface may include thematic classification (e.g., relationships, experiences, achievements, contributions, health, emotional stability), feasibility indicators (e.g., immediate / later / long-term), notes on resource and / or time allocation, a “value-activity alignment” checklist, and reminder requests for schedule integration. In particular, the “alignment checklist” automatically indicates discrepancies between value choices revealed during the provision of the third and fourth guide information and the actual plan (e.g., if five work achievement tasks are entered while prioritizing ‘spending time with family,’ an imbalance warning badge is displayed).

[0175] For example, a certificate image can be generated through an image template engine (e.g., a rendering service on the cloud) by retrieving the course name, completion period, and unique completion number from the course plan database, and mapping the name and cohort (or year) from user identification information.

[0176] As an example, when training participant A performs a touch input on the “Start Final Cleanup” button, the processor (120) can provide fourth guide information to the user terminal (210) in which “My Bucket List (6 areas)” is displayed at the top of the screen, and each item may have a goal, reason, and next action field. If training participant A enters “Next Action” in at least one area, a certificate preview is displayed at the bottom, and after checking “Verify My Name (Korean / English)” and pressing “Receive Certificate,” a PNG and a PDF for sharing are generated and saved to the user terminal (210) that are optimized for the device resolution.

[0178] FIG. 5 is a flowchart of the operation of a method for providing a smart well-dying program guide according to one embodiment of the present invention.

[0179] According to one embodiment, an electronic device (e.g., the electronic device (100) of FIG. 1) may perform the operations disclosed in FIG. 5. For example, at least some of the components included in the electronic device (e.g., the memory (110), processor (120), communication interface (130), and display device (140) of FIG. 1 may be configured to perform the operations of FIG. 5.

[0180] In the following embodiments, the operations of S510 to S530 may be performed sequentially, but are not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel. Additionally, content corresponding to or overlapping with the above description in relation to FIG. 5 may be briefly explained or omitted.

[0181] According to one embodiment, when the processor (120) receives a selection input for a first option from a user terminal, it may provide a predefined additional question interface for the first option to the user terminal (S510).

[0182] For example, the processor (120) can immediately provide a predefined additional question interface to the user terminal (210) when the user selects a first option (e.g., 'money') in the balance game interface of the third guide information.

[0183] For example, the purpose of the additional question interface is to complement the impulsiveness of simple binary choices and to link users' priorities across four axes—financial stability, life satisfaction, relationship impact, and time allocation—to specific action guidelines.

[0184] For example, the components of the additional question interface may include an open-ended short statement box asking “Why did you choose ‘money’?”, a reality constraint checkbox containing a check interface for options such as income, expenses, debt, emergency funds, and caregiving burdens, a trade-off awareness question asking “What activities will you reduce when prioritizing money?”, a micro-plan box for writing “Step 1 actionable within 3 months”, and a “value-happiness alignment” self-assessment slider (0 to 5 points).

[0185] As an example, when training participant B selects 'money' through the balance game interface, a checkbox for “Select most concerning financial risk (debt / unstable income / health expenses / support expenses / other)” appears on the screen, and the sub-question changes depending on the selection result (e.g., “Briefly write down the repayment structure” when “debt” is selected, “One preliminary cash flow plan” when “unstable income” is selected). The processor (120) can load context collected during the provision of the first guide information and the second guide information (e.g., a memo on family care burden) to personalize examples of relationship impact questions (“If you reduce care time to secure additional work, what can you promise to reduce conflict with your family?”).

[0186] According to one embodiment, the processor (120) can receive an answer input corresponding to an additional question interface through an input device of a user terminal (S520).

[0187] For example, the processor (120) can receive answer input for an additional question interface through the input device of the user terminal (210).

[0188] The technical significance of this operation lies in converting the user's motivations, constraints, and perceptions of trade-offs into structured data to subsequently enhance the personalization precision of bucket list recommendations and increase the feasibility of action plans while maintaining emotional safety nets.

[0189] For example, the processor (120) can prevent blank spaces, suggest a summary if the text is excessively long, and warn of insults and / or self-deprecating expressions according to input validation rules (e.g., provide an alternative sentence example button when a warning is given).

[0190] For example, the processor (120) can tag the answers as “financial risk (debt / income fluctuation / health costs / care)”, “relationship impact (spouse / parents / children / colleagues)”, “time allocation (work / rest / care / study)”, “actionability (immediate / preparation needed / long-term)” through core keyword extraction and category mapping.

[0191] As an example, if training participant C inputs, “My freelance income is erratic, so I need emergency funds. However, weekend family time may be reduced,” the processor (120) can extract and tag “income fluctuation,” “need for emergency funds,” and “reduced family time,” and prepare a “need for a compensation plan in the relationship area” notification using a conflict detection rule (e.g., value-behavior mismatch).

[0192] In this way, the refined response received is directly reflected in the generation of recommendations and the structuring of bucket lists in subsequent stages, thereby enhancing the realism of user-specific action plans.

[0193] According to one embodiment, the processor (120) can provide to the user terminal by adding a query text to the bucket list creation interface that inquires whether there is a change in the selection for the first option along with the answer input (S530).

[0194] For example, when the processor (120) receives an answer input, it can provide the user terminal (210) with the text of an inquiry (e.g., “Do you still prioritize ‘money’, or have you changed your perspective?”) automatically inserted at the top of the bucket list creation interface to check whether the user’s initial choice (e.g., ‘money’) is maintained after additional reflection at the time of providing the fourth guide information.

[0195] The purpose of this operation is to connect the user's changed perceptions to planning, mitigate cognitive biases (or initial choice fixation), and enable a re-examination of value-behavior alignment.

[0196] For example, the processor (120) can evaluate change-inducing signals (e.g., significant loss of family time, high health risk) based on “constraints, trade-offs, relationship impacts” tags extracted from additional questions, and if the evaluation result exceeds a certain threshold, the text of the inquiry can be displayed as a fixed top banner with a prominent background.

[0197] For example, the user can choose one of the following: maintain 'money', change to 'dream', or choose a "balanced (mixed) strategy." If the user chooses a "balanced (mixed) strategy," "balanced design cards" (e.g., "spend 1 hour of work per week with family, go on a date with spouse once a month," "start a short-term hobby after securing 3 months' worth of emergency funds") can be automatically added to the bucket list.

[0198] As an example, if training participant D answers, “I have large income fluctuations but I do not want to reduce time with my family,” the processor (120) asks “whether to change perspective” on the top banner, and if the user chooses a “balance strategy,” it can insert a template for simultaneous time and financial allocation to help specify the next action.

[0199] Consequently, this process completes a closed loop of selection → reflection → redecision → action planning, enabling users to establish plans that simultaneously satisfy their values ​​and reality. Furthermore, by developing the abstract choices of the balance game into concrete constraints, alternatives, and redecisions, it can significantly enhance the realism of the subsequent bucket list.

[0201] According to one embodiment, the smart well-dying program guide providing method may further include: the processor verifying the age of a user using the identification information; and the processor, if the user's age is above a threshold age (e.g., 55 years old), providing a summary of socio-demographic statistics periodically received from an external server in a condensed form on a “Social Context View” card at the bottom of the orientation.

[0202] For example, the processor (120) can calculate the user's actual age by parsing the date of birth or registration account information among the participant identification information received from the administrator.

[0203] Subsequently, when the processor (120) confirms that the user's age is above a threshold age (e.g., 55 years), the electronic device (100) can generate a social awareness-based orientation summary using statistical data such as the latest aging indicators, old-age dependency ratio, and regional distribution of long-term care facilities received from an external server (220).

[0204] For example, when a 68-year-old user logs in, the “View Social Context” card displays statistical figures such as “Current proportion of the elderly population aged 65 or older in South Korea: 25.1%, old-age dependency ratio: 41.8%” in a concise chart format, and at the bottom, a summary phrase “Social changes and institutional support for preparing for life in old age” may be presented.

[0205] Through this configuration, users can re-evaluate their personal well-dying preparation process from a social perspective, and the AI ​​minimizes cognitive burden by presenting information complexity differently according to age group.

[0206] Consequently, this embodiment achieves the technical effects of enhancing emotional receptiveness and increasing immersion in social empathy-based educational programs through age-based customized social data visualization.

[0208] According to one embodiment, the identification information used in the method for providing a smart well-dying program guide may further include a unique participant key defined corresponding to the training participant, a contact channel, a program assignment cohort, a default language, and a time zone.

[0209] For example, the processor (120) can automatically classify user groups belonging to the same cohort (e.g., 3rd session of a 12-week course) by referring to a program assignment table based on a participant's unique key, and synchronize the language and time standards of orientation content displayed on the user terminal (210) based on the basic language and time zone information.

[0210] For example, users in the Seoul time zone (KST) will see “Week 1 Start Date: October 14 at 9:00 AM,” and participants residing overseas may see it automatically converted to UTC.

[0211] This multidimensional organization of identification information simultaneously ensures consistency in program operation and a personalized user environment; in particular, by allowing AI models to accumulate training logs by cohort and language, it serves as a foundation for continuously improving the quality of automatic translation and the learning accuracy of content placement algorithms in the future.

[0213] According to one embodiment, the orientation information may further include the purpose of the program, the overall structure, a summary of weekly goals, materials and precautions, a summary of consent for personal information processing, channels for requesting help, and guidance on the expected emotional change curve.

[0214] For example, the processor (120) can extract weekly goals from a lecture plan database and predict the flow of the user's emotional changes (e.g., immersion? reflection? anxiety? acceptance? stability) from an AI-based emotion prediction model, and visualize this as an “expected emotion curve” graphic and display it at the bottom of the orientation screen.

[0215] For example, a participant in their 50s is predicted to have a high emotional burden during the “relationship cleanup” stage of week 4, so the processor (120) can place a “rest week recommendation” message together with that section.

[0216] In addition, the help request channel section includes a “Connect to Agency Counseling” button, which connects to an external counseling platform or affiliated agency upon clicking.

[0217] This configuration goes beyond simple guidance with an intelligent orientation design that combines emotional curve prediction with real-time response information, helping users recognize the overall emotional flow of the program in advance and participate stably.

[0219] According to one embodiment, the orientation information is generated through a combination of dynamic data including a participant profile, course length, and statistical summary, and a predefined template, and an automatic layout determined by the screen size of the user terminal and the presence or absence of an assistive device may be applied.

[0220] For example, the processor (120) can combine “customized orientation pages” in real time through an AI document generation engine based on the age of the participant, the training period of the registered cohort (e.g., 12 weeks), and the latest aging statistics collected from an external server (220).

[0221] For example, screen size information is automatically switched to a “card 2-column type (tablet)” or “single scroll type (smartphone)” by detecting the resolution and device type of the user terminal (210), and if an auxiliary device is connected (e.g., screen reader, voice command device), alternative text and voice command labels are provided together.

[0222] Through this operation, an optimized interface is automatically provided based on the user's device environment and individual characteristics, even for the same educational content. This offers technical benefits that significantly improve accessibility, responsiveness, and user satisfaction compared to existing static web page-based programs.

[0224] According to one embodiment, the smart well-dying program guide provision method may further include: an operation in which the processor dynamically adjusts the order of cards by referring to standard psychological education guidelines provided from an external server and internal accumulated data; an operation in which the processor provides first guide information with relatively light questions placed at the top when the recent response speed and dwell time of an education participant are smaller than a predefined standard; and an operation in which the processor provides first guide information with predefined deepening cards placed at the front when the criteria are larger.

[0225] For example, the AI ​​model analyzes the participant's input response logs (e.g., response length, dwell time, number of retries) to calculate the participant's educational program engagement index in real time. The processor (120) personalizes the arrangement of cards of the first guide information based on this index.

[0226] For example, users with slow and short recent responses are shown the “Childhood Memories” card on the first screen, while highly engaged users are shown the “Career Turning Point” card first.

[0227] At this time, the order adjustment is automatically reflected upon the user's next login, and the AI ​​learns from accumulated logs to continuously update the individual optimal card configuration profile.

[0228] Through this, the system implements an Adaptive Learning Path based on user immersion, thereby simultaneously resolving the conflicting challenges of maintaining interest in retrospective programs and preventing information overload.

[0230] According to one embodiment, the smart well-dying program guide providing method may further include the operation of providing a rest notification and a “get help” button to the user terminal (210) when the processor receives a predefined risk keyword (e.g., loss, regret, death, helplessness, etc.) from the user terminal more than a threshold number of times.

[0231] For example, the processor (120) counts the frequency of negative emotional words appearing in the user's free-form response or voice transcription data in real time, and classifies it as an emotional overload state if it is detected five or more times in succession.

[0232] At this time, the system can immediately display a “Take a break” notification at the top of the screen and activate a “Get Help” button at the bottom to present connection links to public counseling agencies, mental health support centers, or anonymous communities.

[0233] Additionally, if the user is classified as elderly, it switches to TTS (Text-to-Speech) mode to induce emotional buffering through voice messages with a soft tone.

[0234] This operation goes beyond simple keyword detection and includes a function that cumulatively analyzes users' emotional patterns based on machine learning to progressively learn and adjust each user's emotional threshold.

[0235] Through this, the system can implement an AI-driven Emotional Safety Control system that integrates AI-based emotion monitoring and rest control functions while maintaining the user's psychological safety.

[0237] According to one embodiment, the smart well-dying program guide providing method may further include: an operation in which the processor checks the age of the user using the identification information; and an operation in which, if the age of the user exceeds a threshold age, the processor sets the size of the text included in the first guide information to the fourth guide information to a size proportional to the age of the user and provides it to the user terminal.

[0238] For example, the processor (120) can calculate the user's actual age by parsing the user identification information received from the administrator, such as the resident registration number, date of birth, or year of birth data registered in the login account. At this time, the processor (120) can not stop at simple age calculation but can also analyze metadata such as the user's program participation history and program duration to generate an age-specific concentration and readability sensitivity (profile sensitivity model). For example, the artificial intelligence model can learn to recognize from log data that the text recognition rate on the screen decreases by more than 25% for program participants aged 55 or older, and to dynamically adjust the font size, paragraph spacing, and color contrast ratio on the user terminal (210) based on these results. Through this, the electronic device (100) can implement an automatic visual accessibility diagnosis function based on individual user profiles and simultaneously improve the convenience of program participation and interface satisfaction for elderly users. Additionally, or generally, the threshold age may correspond to a fixed age (e.g., 55 years old) predefined by the administrator.

[0239] Subsequently, the processor (120) can automatically adjust the size of the text included in the guide information to a size proportional to the age if it is confirmed that the user's age exceeds a threshold age (e.g., 55 years old, etc.) based on the analysis results of the artificial intelligence model. For example, the processor (120) can dynamically adjust the size of the text by multiplying the basic text size by a correction factor through an age-based UI adjustment function. Here, the correction factor is an experimental readability factor, which the artificial intelligence model can update itself based on user response logs and eye tracking data.

[0240] As an example, when a 70-year-old user accesses an educational program, the AI ​​model can enlarge the text size of the program guide information from the default value (e.g., 16pt) to approximately 1.4 times (22pt) and automatically apply a highlight color with enhanced contrast to important keywords. Additionally, the AI ​​model can collect on-screen touch response data and control the automatic readjustment of line height or margin width to improve readability for users with low touch frequency or scroll speed.

[0241] Through this, the electronic device (100) according to the present invention can implement an AI-driven adaptive accessibility function by automatically recognizing the characteristics of educational participants by age and generating font size, spacing, and color configurations optimized for the individual cognitive characteristics of the participants in real time. Accordingly, the dropout rate of the educational program for the elderly and low-vision users can be significantly reduced, and the immersion, comprehension, and satisfaction indicators of the educational program can be improved. In the long term, the AI ​​model can evolve into a self-learning interface that optimizes the UI to be provided to new participants in the future through accumulated data.

[0244] The above description is merely an illustrative explanation of the technical concept of the present invention, and those skilled in the art to which the present invention pertains will be able to make various modifications and variations within the scope of the essential characteristics of the present invention.

[0245] Accordingly, the embodiments disclosed in this invention are intended to illustrate, not limit, the technical concept of the invention, and the scope of the technical concept of the invention is not limited by these embodiments. The scope of protection of this invention shall be interpreted by the claims below, and all technical concepts within an equivalent scope shall be interpreted as being included within the scope of rights of this invention.

Claims

Claim 1 A method for providing a smart well-dying program guide, which is performed by an electronic device including a processor and provides program guide information to support personalized emotional reflection and future preparation, comprising: an operation in which the processor, upon obtaining identification information of a user corresponding to a program participant from an administrator, transmits an authentication request to a user terminal corresponding to said identification information using a communication interface; an operation in which the processor, in response to receiving an authentication success signal from said user terminal, transmits orientation information including weekly program content summary information of the well-dying program to said user terminal; an operation in which the processor, in response to receiving a first input from said user terminal after a first time has elapsed since the time the orientation information was provided, transmits first guide information for a first well-dying program corresponding to a first theme corresponding to "Understanding Myself" to said user terminal; and an operation in which the processor, in response to receiving a second input from said user terminal after a second time has elapsed since the time the first guide information was provided, transmits second guide information for a second well-dying program corresponding to a second theme corresponding to "Organizing Relationships and Emotions" to said user terminal. and the operation of the processor, in response to receiving a third input from the user terminal after a third time has elapsed since the time when the second guide information was provided, transmitting third guide information for a third well-dying program corresponding to a third theme corresponding to "preparing for the future" to the user terminal;The method further includes, wherein the second time is longer than the first time, and the third time is longer than the second time; the first guide information includes at least one card interface including question text regarding memories, childhood dreams, career history, 20s, and things to be proud of; the second guide information includes three sample letter interfaces corresponding to each of a first type corresponding to an apology, a second type corresponding to gratitude, and a third type corresponding to love; the third guide information includes a predefined balance game interface, an entry type interface associated with a current state record, a sample letter interface corresponding to a fourth type corresponding to the self, and a sample letter interface corresponding to a fifth type corresponding to a will; and the smart well-dying program guide provision method comprises the action of the processor providing fourth guide information including guidance information regarding funeral methods and advance directives for life-sustaining treatment in response to receiving a fourth input from the user terminal after a fourth time has elapsed since the time when the third guide information was provided; and further comprising the operation of transmitting to the user terminal a bucket list creation interface and a certificate image containing the user's name included in the identification information, in response to receiving a fifth input from the user terminal after the first time has elapsed since the point in time when the fourth guide information was provided; wherein the fourth time corresponds to a time longer than the third time, and the balance game interface corresponds to a selection type interface that induces the selection of one of a first option corresponding to money and a second option corresponding to a dream, and the smart well-dying program guide providing method comprises the operation of the processor providing to the user terminal a predefined additional question interface for the first option when the processor receives a selection input for the first option from the user terminal;The above processor further comprises the operation of receiving an answer input corresponding to the additional question interface through an input device of the user terminal; and the operation of the processor adding an inquiry text to the bucket list creation interface and providing it to the user terminal along with the answer input, inquiring whether there is a change regarding the selection of the first option; and the smart well-dying program guide providing method further comprises the operation of the processor verifying the age of the user using the identification information; and the operation of the processor, if the age is greater than or equal to a threshold age, providing a summary of socio-demographic statistics periodically received from an external server in a condensed form on a "View Social Context" card at the bottom of the orientation. The method further includes the identification information, which further includes a unique participant key, contact channel, program assignment cohort, default language, and time zone defined corresponding to the user; the orientation information, which further includes the purpose of the program, overall structure, weekly goal summary, materials and precautions, summary of consent for personal information processing, help request channel, and guidance on the expected emotional change curve; the orientation information is generated through a combination of dynamic data including a participant profile, course length, and statistical summary and a predefined template, and an automatic layout determined by the screen size of the user terminal and the presence or absence of an assistive device is applied; and the method for providing the Smart Well-Dying Program Guide comprises the operation of the processor dynamically adjusting the order of cards by referring to standard psychological education guidelines provided from an external server and internally accumulated data; and the operation of the processor providing the first guide information to the user terminal, wherein relatively light questions are placed at the top when the user's recent response speed and dwell time are classified as being smaller than a predefined speed and standard dwell time.The smart well-dying program guide providing method further comprises: an operation in which, when the processor classifies that the recent response speed and the dwell time of the training participant are greater than the predefined speed and the standard dwell time, the first guide information in which a predefined deepening card is placed on the front is provided to the user terminal; and the smart well-dying program guide providing method further comprises: an operation in which, when the processor receives a predefined risk keyword from the user terminal repeatedly more than a threshold number of times, the processor provides a rest notification and a "Get Help" button to the user terminal; and the smart well-dying program guide providing method further comprises: an operation in which, when the user's age exceeds the threshold age, the processor sets the size of the text included in the first guide information to the fourth guide information to a size proportional to the user's age and provides it to the user terminal. 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