KR20210061150A - Method and apparatus for playing online card game - Google Patents

Abstract

Disclosed are a method and an apparatus for playing an online card game. The method for playing the online card game, performed by a server, comprises the steps of: generating one or more first card groups; generating a second card group; distributing the predetermined number of second cards to accounts participating in the online card game; disclosing cards belonging to each of the first card groups one by one to the accounts; receiving, from a user terminal connected to a designated account, a first card that the designated account has selected from among the disclosed first cards, and a story of the designated account related to the selected first card; transmitting the selected first card and the story to the remaining accounts other than the designated account; receiving, from each of user terminals connected to the remaining accounts, a second card that the remaining accounts have selected from among the second cards distributed to the remaining accounts, and a solution presented on the basis of the selected second card; transmitting the selected second cards and the solutions to the designated account; receiving a solution selected by the designated account; and changing the credit of the account that has presented the selected solution. The present invention enables a user to play an emotionally healing online game.

Description

Online card game progress method and device{METHOD AND APPARATUS FOR PLAYING ONLINE CARD GAME}

The following embodiments relate to a technology for playing an online card game played by accounts using a server. Specifically, the following embodiments relate to an apparatus and a method capable of playing an online emotional healing game in which account users can share a stress situation and talk about a method of resolving stress.

As a background technology related to the embodiments, Korean Patent Publication No. KR 10-1943644 B1 discloses a board game for goal-oriented positive psychotherapy. Specifically, the prior literature relates to a circular game board in which an annular track portion is displayed in which the divisions on which instructions are printed are arranged according to predetermined rules; Value list with 5 pre-selected values displayed; A happiness factor definition card in which 24 preselected happiness factor definitions are displayed; Happiness factor card in which 4 pre-selected happiness factors are displayed; Multiple happiness key cards with instructions written on them; A plurality of value marks indicating one's value ranking; A plurality of game pieces indicating the position of the player in the track unit by using a dice; A board game for goal-oriented positive psychotherapy is disclosed, consisting of a plurality of happiness coins that can be obtained or returned according to the instructions of the compartment, or can be obtained or returned according to the instructions of the happiness key card.

Through this, prior literature allows users to consider their own happiness while playing board games, through which they can become aware of individual strengths and values, and users can perceive themselves more deeply. Initiate a board game for goal-oriented positive psychotherapy.

However, prior literature shows that users share stressful situations due to compulsion, anxiety, and depression; Talking about how you cope with stressful situations that result from obsessive compulsion, anxiety, and depression; It does not disclose a method or device that can provide an opportunity to reflect on how each person copes with stress. In addition, the prior literature does not disclose a board game or a card game progress system or method that can be played online through a server or the like. Further, the prior literature does not disclose a means or a method of discriminating an abnormal symptom according to the user's stress based on the user's game play data, and sharing the user's data determined to have an abnormal symptom in connection with a hospital.

Accordingly, while proceeding online through a server or the like; Users who access through accounts share stressful situations due to obsessive, anxiety, and depression; Talking about how to cope with stressful situations caused by compulsion, anxiety, and depression; There is a request for a way to play online games that can provide an opportunity to reflect on how each person copes with stress. In addition, based on the account users' gameplay data, abnormalities caused by the account users' stress can be used to prevent the damage caused by mental illnesses caused by unbearable levels of stress such as depression, panic disorder, binge eating, self-harm, and suicide. There is a request for a method of determining a symptom and transmitting data of an account user determined to have an abnormal symptom to a hospital server and a doctor account linked in advance.

Republic of Korea Patent Publication KR 10-1943644 B

Embodiments are intended to provide an online card game played through a server.

Examples include online card games that provide an opportunity for players to reflect on how they cope with stress while talking about stressful situations such as compulsion, anxiety, and depression with several other players, and how to cope with them. We want to provide a card game.

The embodiments are intended to provide a method of generating online cards so that an online card game can be played based on stress situations closer to actual stress situations of account users.

Embodiments are intended to provide a method of generating online cards so that account users can provide stress relief solutions based on real experiences or preferences to other account users.

Examples are to induce natural participation of account users in online card games, and to improve language skills or prevent dementia through training to express their situation and thoughts in language during the online card game process. I want to provide.

The embodiments are intended to provide psychological stability and treatment by allowing account users to explain their psychological instability through online card games to share stress and to establish an online space that provides solutions for each situation from various perspectives.

The embodiments discriminate among account users who exhibit abnormal symptoms exceeding the general stress level; Transmitting the determined user's game play information to a preset doctor account; Helping a psychiatrist linked to a doctor's account to analyze the psychological state of a user determined to have abnormal symptoms; By connecting users who are determined to have abnormal symptoms so that they can receive expert counseling and treatment; It aims to provide a way to prevent the damage caused by mental illness caused by unbearable levels of stress such as depression, panic disorder, binge eating, self-harm, and suicide among account users.

Further, the embodiments are intended to provide a method and apparatus for playing an online card game to solve the problems mentioned in the background art and the problems of the relevant technical field disclosed in the present specification.

The method for playing an online card game according to an embodiment may be performed by a server, comprising: generating at least one first card group; Creating a second card group; Distributing a predetermined number of second cards to accounts participating in the online card game; Revealing to the accounts one card belonging to each first card group; Receiving, from a user terminal to which the designated account is accessed, a first card selected from the disclosed first cards, and a story of the designated account related to the selected first card; Transmitting the selected first card and the story to accounts other than the designated account; Receiving a second card selected from among the second cards distributed to the remaining accounts from the user terminal to which each of the remaining accounts has accessed, and a solution proposed based on the selected second card; Transmitting the selected second cards and the solutions to the designated account; Receiving the solution selected by the designated account; And changing the credit of the account that presented the selected solution.

According to an embodiment, the generating of the at least one first card group includes: obtaining Internet usage information of the accounts; And generating cards of each first card group based on the Internet use information of the accounts, wherein the generating of the second card group comprises: a second card based on the Internet use information of the accounts. It may include generating cards of the card group.

According to an embodiment, a method of playing an online card game comprises: converting the selected first card into a database as data of the designated account; Converting the story into database data of the designated account; Converting the selected solution into a database as data of the designated account; Databaseizing the second card, which is the basis of the selected solution, as data of the designated account; And converting the account presenting the selected solution into a database as data of the designated account.

According to an embodiment, a method of playing an online card game comprises: selecting an account to perform data analysis; Analyzing the data of the selected account to determine an abnormal symptom of a user using the account; When the abnormality symptom of the user is determined, the step of transmitting at least some of the data of the account to a preset doctor account may further include.

The online card game progressing apparatus according to an embodiment generates at least one first card group, creates a second card group, distributes a predetermined number of second cards to accounts participating in the online card game, and the A first card belonging to each of the first card groups is disclosed to accounts one by one, and the selected account is selected from the disclosed first cards from the user terminal to which the designated account is accessed, and the selected first card. Receiving the story of the designated account related to the card, transmitting the selected first card and the story to other accounts excluding the designated account, and from the user terminal to which each of the remaining accounts is accessed, the remaining account is Receive a second card selected from among the second cards distributed to the remaining accounts, and a solution proposed based on the selected second card, and transmit the selected second cards and the solutions to the designated account, and the The designated account may include a processor that receives the selected solution and changes the credit of the account that presented the selected solution.

Embodiments may provide an online card game played through a server.

Examples include online card games that provide an opportunity for players to reflect on how they cope with stress while talking about stressful situations such as compulsion, anxiety, and depression with several other players, and how to cope with them. Card games can be provided.

The embodiments may provide a method of generating online cards so that the online card game can be played based on stress situations closer to actual stress situations of account users.

Embodiments may provide a method of generating online cards so that account users can provide stress relief solutions based on real experiences or preferences to other account users.

Examples are to induce natural participation of account users in online card games, and to improve language skills or prevent dementia through training to express their situation and thoughts in language during the online card game process. Can provide.

Embodiments allow account users to explain their psychological instability through online card games, share stress, and provide psychological stability and treatment by establishing an online space that provides solutions for each situation from various perspectives. .

The embodiments discriminate among account users who exhibit abnormal symptoms exceeding the general stress level; Transmitting the determined user's game play information to a preset doctor account; Helping a psychiatrist linked to a doctor's account to analyze the psychological state of a user determined to have abnormal symptoms; By connecting users who are determined to have abnormal symptoms so that they can receive expert counseling and treatment; It can provide a way to prevent the damage caused by mental illness caused by unbearable levels of stress such as depression, panic disorder, binge eating, self-harm, and suicide for account users.

Meanwhile, the effects according to the embodiments are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those of ordinary skill in the relevant technical field from the following description.

1 is an exemplary diagram of a configuration of a system according to an embodiment.
2 is a diagram illustrating an online card game according to an embodiment.
3 is a flowchart illustrating an operation of generating cards according to an exemplary embodiment.
4 is a flowchart illustrating a process of creating a database and determining an abnormal symptom according to an embodiment.
5 is a diagram illustrating a process of transmitting data to a doctor account and a process of treatment according to an embodiment.
6 are diagrams for explaining learning of an artificial neural network according to an embodiment.
7 is an exemplary diagram of a configuration of an apparatus according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes may be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It is to be understood that all changes, equivalents, or substitutes to the embodiments are included in the scope of the rights.

Specific structural or functional descriptions of the embodiments are disclosed for the purpose of illustration only, and may be changed and implemented in various forms. Accordingly, the embodiments are not limited to a specific disclosure form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical idea.

Although terms such as first or second may be used to describe various components, these terms should be interpreted only for the purpose of distinguishing one component from other components. For example, a first component may be referred to as a second component, and similarly, a second component may be referred to as a first component.

When a component is referred to as being "connected" to another component, it is to be understood that it may be directly connected or connected to the other component, but other components may exist in the middle.

The terms used in the examples are used for illustrative purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present specification, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

Spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms including different directions of components during use or operation in addition to the directions shown in the drawings. For example, if a component shown in a drawing is turned over, a component described as "below" or "beneath" of another component will be placed "above" the other component. I can. Accordingly, the exemplary term “below” may include both directions below and above. Components may be oriented in other directions, and thus spatially relative terms may be interpreted according to the orientation.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiment belongs. Terms as defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in the present application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of the reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that a detailed description of a related known technology may unnecessarily obscure the subject matter of the embodiment, a detailed description thereof will be omitted.

1 is an exemplary diagram of a configuration of a system according to an embodiment.

The system according to an embodiment may include a server 100 and user terminals 111-113. The server 100 and the user terminals 111-113 may be connected to a network to exchange data through wired or wireless communication.

The server 100 may be its own server owned by a person or organization that provides an online card game service using the server 100; May be a cloud server; It may be a peer-to-peer (p2p) set of distributed nodes. The server 100 includes arithmetic functions of an ordinary computer; Save/retrieve function; Input/output function; And it may be configured to perform all or part of the control function. The server 100 may include at least one artificial neural network that performs an inference function. The server 100 may be configured to communicate with the communication means 132 and the user terminal 190 of the smart facility 100 through wired or wireless communication.

The user terminals 111-113 may be desktop computers, notebook computers, tablets, smart phones, and the like. User terminals 111-113 include arithmetic functions of a typical computer; Save/retrieve function; Input/output function; And it may be configured to perform all or part of the control function. An application developed or distributed by a person or organization providing an online card game service using the server 100 may be installed in the user terminals 111-113. The user terminals 111-113 may be configured to communicate with the server 100 through wired or wireless communication.

Specifically, as shown in FIG. 1, the first user terminal 111 may be a desktop computer; The second user terminal 112 may be a notebook computer; The third user terminal 113 may be a smartphone. The server 100 communicates with the user terminals 111-113 and may engage the accounts 121-123 in an online card game. The first account 121 can access the first user terminal 111 and participate in the online card game through the first user terminal 111; The second account 122 can access the second user terminal 112 and participate in the online card game through the second user terminal 112; The third account 123 may access the third user terminal 113 and participate in the online card game through the third user terminal 113.

2 is a diagram illustrating an online card game according to an embodiment.

The server 100 may engage the accounts 121-123 in the online card game and play the online card game. The online card game may be a healing game in which actions or symptoms of users of accounts 121-123 due to stress are notified, and causes and solutions are discussed. Furthermore, the online card game may be used to determine abnormal symptoms of users of accounts 121-123 and to maintain mental health. Adverse signs may be related to psychological instability, stress, compulsion, aggression, delusions and mental illness.

In online card games, when the designated account presents a story related to the stressful situation, the rest of the accounts provide their own solutions for the stressful situation, and when the user of the designated account selects the most favorite solution, the selected solution is provided. This can be done in a way that the account earns credit. Online card games can be used as a stress management solution, and users of accounts can diagnose stress and explore directions for solutions through online card games.

Hereinafter, a method for the server 100 to play an online card game will be described.

First, the server 100 may create at least one or more first card groups 210, 220, and 230.

The first card groups 200 may include a plurality of first card groups 210, 220, and 230 related to different stress areas. Each of the first card groups 210, 220, and 230 may be composed of situation cards related to different stress areas. Specifically, the first card groups 200 may include compulsive card groups 210 according to different stress areas; Anxiety card group 220; It can be divided into group 230 of depressed situations.

The compulsive situation card group 210 may be composed of compulsive situation cards in which stress situations according to the compulsion are written. For example, the compulsive situation card 211 may include one stressful situation according to the compulsion, such as "I can't throw things away easily". Or, the compulsion card may contain one compulsive stressful situation, such as "I'm anxious if I don't have certain things" or "I keep thinking of trivial things like shutting off gas valves."

The anxiety situation card group 220 may be composed of anxiety situation cards in which stress situations according to anxiety are written. For example, on the anxiety situation card 221, one stressful situation due to anxiety, such as "It is difficult to present in front of others," may be written. Or, an anxiety card may contain one stressful situation related to anxiety, such as "I can't imagine something bad will happen" or "I can't fall asleep easily at night and keep turning around".

The depression situation card group 230 may be composed of depression situation cards in which stress situations according to depression are written. For example, the depression situation card 231 may include one stressful situation according to depression, such as “I am too unsatisfied in my appearance”. Or, a depressed situation card may contain one stressful situation that accompanies depression, such as “I am in tears when I think of something” or “I keep feeling guilty because I am not wrong.”

In the embodiment, there are three types of first card groups, but the number of first card groups is not limited as long as the stress area can be divided.

The server 100 may generate some of the first cards based on the US Mental Disease Diagnosis and Statistics Manual (DSM-5) and other mental illness counseling/diagnosis data. Also, the server may generate some of the first cards based on the Internet usage information of the accounts 121-123. A process in which the server 100 generates first cards (status cards) belonging to each of the first card groups 210, 220, and 230 will be described later with reference to FIG. 3.

Meanwhile, the server 100 may instruct the user terminals 111 to 113 to display the graphics of the first card groups 200. Each of the user terminals 111-113 may display the first card groups 200 according to the output means of each user terminal. Specifically, in the monitor or screen of the 1-3th user terminal 111-3, the compulsion card group 210; Anxiety card group 220; A state in which cards of the depression card group 230 are stacked upside down may be displayed.

Next, the server 100 may create a second card group 240.

The second card group 240 includes a compulsion card; Anxiety situation card; Alternatively, it may be a solution card in which a keyword for solving the depressive situation card is written. When the designated account presents a stress story related to the selected situation card, the remaining accounts can freely present a solution related to the story centering on the keyword written on the second card.

The keyword written on the second card may be a specific action (driving, shopping, exercising, meditation, etc.); It may be a specific object or place (cell phone, medicine, mountain, etc.); It can also be an abstract concept (expression, rule, etc.).

The server 100 may generate some of the second cards based on the US Mental Disease Diagnosis and Statistics Handbook (DSM-5) and other mental illness counseling/diagnosis data. Also, the server may generate some of the second cards based on the Internet usage information of the accounts 121-123. A process in which the server 100 generates second cards (solved cards) belonging to the second card group 240 will be described later with reference to FIG. 3.

Meanwhile, the server 100 may instruct the user terminals 111 to 113 to display the graphic of the second card group 240. Each of the user terminals 111-113 may display the second card group 240 according to the output means of each user terminal. Specifically, a state in which cards of the second card group 240 are stacked upside down may be displayed on the monitor or screen of the 1-3th user terminal 111-3.

Subsequently, the server 100 may distribute a predetermined number of second cards to the accounts 121-123 participating in the online card game.

For example, the server 100 may distribute three second cards to each of the accounts 121-123. The second cards 241 distributed to the first account may each have keywords “shopping”, “cell phone”, and “driving” written on them. In the second cards 242 distributed to the second account, keywords such as “meditation”, “mountain”, and “exercise” may be written. In the second cards 243 distributed to the third account, keywords such as “rule”, “about”, and “expression” may be written on each of the keywords. The number and type of second cards distributed to each of the accounts 121-123 may vary.

Meanwhile, the server 100 may instruct the user terminals 111-113 to display graphics of the second cards distributed to each account. Each of the user terminals 111-113 may display second card groups distributed to each account according to the output means of each user terminal. Specifically, the second cards 241 distributed to the first account may be displayed on the monitor of the first user terminal 111; Second cards 242 distributed to the second account may be displayed on the monitor of the second user terminal 112; Second cards 243 distributed to the third account may be displayed on the screen of the third user terminal 113.

In the following order, the server 100 may disclose cards belonging to each of the first card groups 210, 220, and 230 to the accounts 121-123 one by one.

The server 100 may instruct the user terminals 111-113 to display one card belonging to each of the first card groups 210, 220, and 230. Each of the user terminals 111-113 may display the front view of one card belonging to each of the first card groups 210, 220, and 230 according to the output means of each user terminal. Specifically, in the monitor or screen of the 1-3th user terminal 111-3, the compulsion card 211; Anxiety situation card 221; The depressed situation card 231 may be displayed in a way that the front side is visible one by one.

For example, the server 100 may include a compulsive situation card 211 on which the phrase "I cannot easily throw away the object" is written from the compulsion card group 210; An anxiety situation card 221 in which the phrase “it is difficult to present in front of other people” is written from the anxiety situation card group 220; From the depression card group 230, each depression card 231 in which the phrase “my appearance is too dissatisfied” may be disclosed. In the user terminals (111-113) the published compulsion situation card 211; Anxiety situation card 221; The second team user 3 (23) may be displayed.

Next, the server 100 designates an account in a predetermined order, and receives a first card selected from the first cards to which the designated account is disclosed, and a story of the designated account related to the selected first card. I can.

To this end, the server 100 may assign an order to the accounts 121-123 that play the online card game. The server 100 randomly selects an account in the first order from among the accounts 121-123 participating in the online card game; Randomly selecting an account in the second order from among accounts excluding the account in the first order; By repeating the above-described process, an order can be assigned in a manner in which the account in the last order is selected.

The server 100 may point to accounts according to a predetermined order. The designated account may select one of the publicly disclosed cards through the user terminal to which it is connected, and may present a stress story related to the selected first card. The story of the reason for the selection may be input through an input means such as a keyboard or a microphone included in the user terminal. The user terminal to which the designated account is accessed may transmit the selected first card and the story related to the selected first card to the server 100.

For example, the server 100 may include a first account 121 participating in an online card game; A second account 122; And for the third account 123, a first order to the first account 121; A second order to the second account 122; A third order may be given to the third account 123.

The server 100 may point to the first account 121 in the first order. The pointed first account 121 includes a published compulsion card 211; Anxiety situation card 221; And, from among the depressed situation cards 231, a first card of “I am very unsatisfied with my appearance”, which is a situation in which one is most stressed, may be selected. In addition, the first account 121 may input a story about the reason for the selection through an input means such as a keyboard or a microphone included in the first user terminal 111. For example, the user of the first account 121 may input a story stating that "I recently gained weight rapidly due to stress, and I do not like my fat body". The first user terminal 111 may transmit a story related to the depression card 231 and the depression card 231 selected by the first account 121 to the server 100.

Subsequently, the server 100 may transmit the first card selected by the designated account and the story of the designated account to other accounts other than the designated account.

For example, the server 100 to the second account 122 and the third account 123 excluding the first account 121, the depression situation card 231 selected by the first account 121, "my appearance "I'm too unsatisfied" and the story of the 1st account (121), "I recently gained weight rapidly due to stress, and I don't like my fat body" can be transmitted.

In the following order, the server 100 may receive a second card selected from among the second cards distributed to each of the remaining accounts except for the designated account, and a solution proposed based on the selected second card. have.

To this end, each of the remaining accounts excluding the designated account may select one of the second cards distributed to the user through the user terminal to which the user is connected, and based on the second card selected by the user, the designated account You can present a solution to the account's story. The user terminal to which each of the remaining accounts except the designated account is accessed may transmit the selected second card and the proposed solution to the server 100.

For example, the second account 122 may select the exercise solution card 242A from among the second cards 242 distributed to the second account through the second user terminal 112, and the exercise solution card ( Based on 242A), you can present your own experience of “If I exercise consistently, I quickly lose weight” as a solution. The second user terminal 112 may transmit the exercise solution card 242A selected by the second account 122 and the solution of the second account 122 to the server 100.

In addition, the third account 123 can select the expression solution card 243A from among the second cards 243 distributed to the third account through the third user terminal 113, and the expression solution card 243A Based on, we can suggest a solution that says, "Do not try to hide your fat figure, but express yourself confidently." The third user terminal 113 may transmit the expression solution card 243A and the solution of the third account 123 from the third account 123 to the server 100.

Next, the server 100 may transmit the selected 2 cards and solutions to the designated account.

For example, the server 100 is the first user terminal 111 to which the first account 121 is connected, and the exercise solution card 242A selected by the second account 122 and “If you constantly exercise, The solution was “I quickly lost weight”; And it is possible to transmit the expression solution card 243A selected by the third account 123 and a solution that says, "Do not try to hide your fat, express yourself with confidence."

Subsequently, the server 100 may receive the solution selected by the designated account.

To this end, the designated account can select one of the solutions suggested by the remaining accounts through the user terminal to which it is connected. The user terminal to which the designated account is accessed may transmit the selected solution to the server 100.

For example, the user of the first account 121 may like the solution presented by the second account 122 among the suggested solutions, and accordingly, the first account 121 is the second account 122 You can choose a solution. The first user terminal 111 may transmit information indicating that the first account 121 has selected the solution of the second account 122 to the server 100.

In the following order, the server 100 may change the credit of the account that presented the selected solution.

As long as the credit can be reduced to a number, the form of graphic expression is unlimited. For example, the credit may have a graphic of the first card selected by the designated account in the sense that the designated account solved the selected first card. Alternatively, the credit may have various graphic forms such as coins, trophies, heart marks, and numbers.

For example, the server 100 may increase the credit of the second account 122 because the first account 121 has selected the solution of the second account 122. The server 100 gives the second account 122 the same as the depression card 231 in the sense that the second account 122 solved the depression card 231 and the story selected by the first account 121. You can give credit with graphics.

Thereafter, the server 100 may include the disclosed first cards 211, 221, and 231 in each group again so that the front side is not visible. In addition, the server 100 includes second cards 241 distributed to the first account; Second cards 242 distributed to a second account; The second cards 243 distributed to the third account may be recovered. Thereby, the turn of the designated account can be terminated.

The server 100 may designate an account in the next sequence and repeat the remaining processes except for the process of creating the first and second card groups in the process described above. The server 100 may determine that the account has won the online card game if the credit of a certain account is equal to or greater than a preset score. For example, if an account collects 5 credits of the first card (situation card) graphic, it may be determined that the account has won the online card game. The winning account can earn pre-determined victory points.

Through the above, players who participated in the online card game through the server 100 provide an opportunity to look back on how they cope with stress while talking about the stressful situation and how to cope with it with various other players. can do. Through this, players can share ways to cope with stress while talking about solutions to stressful situations through the theme of the solution card (the second card), and can show their creativity. In addition, it is possible to provide a means for recognizing psychological disorders or abnormal symptoms according to stress, and preventing mental disorders, as in the embodiments described with reference to FIGS. 4 and 5 to be described later.

3 is a flowchart illustrating an operation of generating cards according to an exemplary embodiment.

First, the server 100 may obtain Internet use information of accounts (310).

Specifically, the account's internet usage information includes the account user's internet search history; Image click history; It may include a video viewing history, and the like. Acquisition of Internet usage information of an account may be achieved by borrowing a conventional method of collecting Internet usage information of an Internet user.

Next, the server 100 may generate cards of each first card group based on the Internet usage information of the accounts (320).

Specifically, the server 100 based on Internet usage information of accounts participating in the online card game; You can infer stressful situations in which account users feel compulsive, anxious, and depressed. For example, the first account 121 may have performed Internet search and video viewing such as “how to lose weight” and “about to lose weight” a week before participating in an online card game, and the server 100 is the first account Based on the user's Internet usage information of the account 121, it can be inferred that there is a depressive stress situation related to “appearance” or “live”. Based on the account's internet usage information; Inference of a stressful situation in which account users feel compulsion, anxiety, depression, etc. may be made through an artificial neural network of the server 100. The learning process of the artificial neural network may be as shown in FIG. 6.

The server 100 may generate cards of each first card group based on an inference of a stressful situation in which account users feel compulsion, anxiety, depression, and the like.

Specifically, the server 100 is based on the United States Mental Disease Diagnosis and Statistics Handbook (DSM-5) and other mental illness counseling and diagnosis data; It is possible to create basic first cards in which compulsion, anxiety, or depressive stress situations are described. The generated basic first cards may include a compulsion card group 210 according to a stress area; Anxiety card group 220; It may be grouped into a depression situation card group 230.

In addition, the server 100 is based on the inference of the stressful situations in which account users feel compulsion, anxiety, depression, and the like; It is possible to create custom first cards that describe compulsive, anxiety, or depressive stressful situations. The generated custom first cards may include a compulsion card group 210 according to the stress area; Anxiety card group 220; It is grouped into the depression situation card group 230 and may be merged into groups of the basic first card, respectively.

Subsequently, the server 100 may generate cards of the second card group based on the Internet usage information of the accounts (330).

Specifically, the server 100 based on Internet usage information of accounts participating in the online card game; Account users' preferred behavior, object/place, or abstract concept can be inferred as keywords. For example, the second account 122 may have searched the Internet, click images, and watch videos, such as “diet”, “pilates”, “yoga”, etc. from half a year before participating in the online card game, and the server 100 ) May infer the keyword “exercise” based on the Internet usage information of the user of the second account 122. Based on the account's internet usage information; Inference of keywords preferred by account users may be made through an artificial neural network of the server 100. The learning process of the artificial neural network may be as shown in FIG. 6.

The server 100 may generate cards of the second card group based on the inference of keywords preferred by account users.

Specifically, the server 100 is based on the United States Mental Disease Diagnosis and Statistics Handbook (DSM-5) and other mental illness counseling and diagnosis data; Basic second cards containing keywords related to an action, object/place, or abstract concept to help relieve an obsessive, anxiety, or depressive stressful situation can be created. The generated basic second cards may form a second card group 240.

In addition, the server 100 based on the inference of keywords preferred by account users; It is possible to create custom second cards in which keywords to solve compulsive, anxiety, or depressive stressful situations are listed. The generated custom second cards may be merged into a group of basic second cards to form a second card group 240.

Through the above, the online card game can be played based on stress situations closer to actual stress situations of account users. In addition, it is possible to provide a solution based on users' actual experiences or preferences. Through this, the online card game can create an atmosphere in which players can go beyond formal counseling on their concerns, share the actual stressful situation of the players, and provide comfort and advice on their concerns based on the players' actual experiences and preferences.

4 is a flowchart illustrating a process of creating a database and determining an abnormal symptom according to an embodiment.

First, the server 100 may convert the account's game play result into a database of account data (410).

To this end, each time the server 100 points to an account, the game play result of the pointed account may be converted into a database as the account data. Specifically, the server 100 may convert the first card selected by the designated account into a database as data of the designated account. In addition, the server 100 may convert a story related to the first card selected by the designated account into a database as data of the designated account. In addition, the server 100 may convert the solution selected by the designated account into a database as data of the designated account. In addition, the server 100 may convert the second card, which is the basis of the solution selected by the designated account, into a database as data of the designated account. In addition, the server 100 may convert an account that presents a solution selected by the designated account into a database as data of the designated account.

For example, when pointing to the first account 121, the server 100 may convert the game play result of the first account 121 into a database as data of the first account 121. Specifically, the server 100 may convert the depression situation card 231 selected by the first account 121 "I am too dissatisfied with my appearance" into a database as data of the first account 121. In addition, the server 100 tells the story related to the depressive situation card 231 selected by the first account 121 "I recently gained weight rapidly due to stress, and I do not like my fat body" as the first account. It can be converted into a database with the data of (121). In addition, the server 100 may convert the solution selected by the first account 121 into a database as the data of the first account 121 "If I exercise consistently, I quickly lost my fat." In addition, the server 100 may convert the exercise solution card 242A, which is the basis of the solution selected by the first account 121, into a database as data of the first account 121. In addition, the server 100 may convert the second account 122, which presented the solution selected by the first account 121, into a database as data of the first account 121.

Next, the server 100 may select an account to perform data analysis (420).

The server 100 may select an account in which the same first card (status card) is drawn more than a predetermined number of times within a preset time as an account to perform data analysis. For example, if the first account 121 selects the same situation card “I am too dissatisfied” twice or more within a month, the server 100 may perform data analysis on the first account 121. You can select by account.

Subsequently, the server 100 may analyze the data of the selected account to determine an abnormal symptom of a user using the account (430).

Specifically, the server 100 includes a game play result of the account on the learned artificial neural network-first cards (situation cards) selected by the account for a predetermined period; Stories of the account associated with each selected first card; Solutions chosen by the account for each story; By inputting the second cards, which are the basis of the solution, the inference of the anomaly of the account user can be obtained as an output of the artificial neural network. The server 100 may determine an abnormal symptom of an account user based on the output of the artificial neural network. The detailed learning process of the artificial neural network will be described later with reference to FIG. 6.

In the following order, when it is determined that the user has an abnormal symptom, the server 100 may transmit the account data to a preset doctor account (440).

For example, when the server 100 inputs a game play result of the first account 121 for a preset period, for example, 6 months into the learned artificial neural network; The artificial neural network may infer that the user of the first account 121 has a symptom of an abnormality in depression and output it. The server 100 determines that the user of the first account 121 has an abnormal symptom based on the output of the artificial neural network, and stores data related to the game play result of the first account 121 as a preset pseudo account of FIG. 5. Can be transmitted to (501).

Through the above, the server 100, while playing an online card game, determines a user who shows an abnormal symptom exceeding a general stress level among account users; Transmitting the determined user's game play information to a preset doctor account; Helping a psychiatrist linked to a doctor's account to analyze the psychological state of a user determined to have abnormal symptoms; By connecting users who are determined to have abnormal symptoms so that they can receive expert counseling and treatment; It can prevent the damage caused by mental illness caused by unbearable levels of stress such as depression, panic disorder, binge eating, self-harm, and suicide of account users.

5 is a diagram illustrating a process of transmitting data to a doctor account and a process of treatment according to an embodiment.

When it is determined that the user has an abnormal symptom, the server 100 may transmit the account data to a preset doctor account. First, when the artificial neural network determines that the user of the selected account has an abnormal symptom, the server 100 may transmit game play data of the account user determined to have an abnormal symptom to the hospital server 500.

The hospital server 500 may be a server used by a hospital that has entered into an agreement with a person or group providing an online card game service in advance. Hospital server 500 may be its own server owned by the hospital; May be a cloud server; It may be a peer-to-peer (p2p) set of distributed nodes. Hospital server 500 has a general computer computing function; Save/retrieve function; Input/output function; And it may be configured to perform all or part of the control function. The hospital server 500 may be configured to communicate with the server 100 and the user terminals 111-113 through wired or wireless communication.

The game play data of the account may include first cards (status cards) selected by the account during a preset period; Stories of the account associated with each selected first card; Solutions chosen by the account for each story; It may include second cards on which the solution is based.

The hospital server 500 may transmit game play data of an account user determined to have an abnormal symptom to the doctor account 501. The doctor account 501 may be an account used by a psychiatrist. The psychiatrist can primarily remotely diagnose whether the account user really has a mental illness, based on the account user's gameplay data. The doctor account 501 may transmit a primary remote diagnosis record of a psychiatrist to the hospital server 500. The hospital server 500 may transmit a primary remote diagnosis record to the user terminals 111-113 through the server 100, or may directly transmit a primary remote diagnosis record to the user terminals 111-113.

Through this, the users of the accounts 121-123 who have accessed the user terminals 111-113, the primary remote diagnosis of the psychiatrist linked to the doctor account 501 as to whether or not they have mental illness. Can be received. Account users can contact the hospital server 500 or the doctor account 501 through the user terminal 111-113 to schedule a medical treatment, and meet directly with a psychiatrist linked to the doctor account 501 for psychological counseling and treatment. · You can receive treatment professionally.

For example, the server 100 determines that the user of the first account 121 has an abnormal symptom based on the output of the artificial neural network, and transmits data related to the game play result of the first account 121 to the hospital server ( 500). The hospital server 500 may transmit game play data of the first account 121 to a doctor account 501 used by a psychiatrist. The psychiatrist may primarily remotely diagnose that the user of the first account 121 has depression based on the game play data of the user of the first account 121. The psychiatrist may transmit the primary remote diagnosis record of the first account 121 to the hospital server 500 through the doctor account 501. The hospital server 500 may transmit a primary remote diagnosis record to the first user terminal 111 through the server 100 or may directly transmit a primary remote diagnosis record to the first user terminal 111.

Subsequently, the user of the first account 121 connected to the first user terminal 111 may receive a primary remote diagnosis from a psychiatrist linked to the doctor account 501 as to whether he or she has depression. . The user of the first account 121 may contact the hospital server 500 or the doctor account 501 through the first user terminal 111 to schedule a medical treatment, and directly with the psychiatrist linked to the doctor account 501 Meet and receive counseling, treatment, and treatment for depression.

Through the above, the server 100, while playing an online card game, determines a user who shows an abnormal symptom exceeding a general stress level among account users; Transmitting the determined user's game play information to a preset doctor account; Helping a psychiatrist linked to a doctor's account to analyze the psychological state of a user determined to have abnormal symptoms; By connecting users who are determined to have abnormal symptoms so that they can receive expert counseling and treatment; It can prevent the damage caused by mental illness caused by unbearable levels of stress such as depression, panic disorder, binge eating, self-harm, and suicide of account users.

6 is a diagram illustrating learning of an artificial neural network according to an embodiment.

The artificial neural network may be a component included in the server 180, and may be learned through the server 180 or a separate learning device.

The first artificial neural network may receive Internet usage information of accounts participating in an online card game and output a stressful situation in which account users feel compulsion, anxiety, depression, and the like.

The second artificial neural network may receive Internet usage information of accounts participating in the online card game and output keywords that account users prefer for actions, objects/places, or abstract concepts.

The third artificial neural network may receive data related to a result of the online card game play of the account, and output a determination of an abnormal symptom of a user using the account.

Hereinafter, a process of learning an artificial neural network through a learning device will be described.

First, the learning device may generate training data.

For learning the first artificial neural network, the learning device includes a search history of each Internet user during a preset time interval; Image click history; And Internet usage information of each user who has collected the video viewing history may be generated as training data.

For learning the second artificial neural network, the learning device includes a search history of each Internet user during a preset time interval; Image click history; And Internet usage information of each user who has collected the video viewing history may be generated as training data.

For learning the third artificial neural network, test accounts can play online card games. Testers of the test account may have been diagnosed in advance by a psychiatrist or psychological counseling therapist whether or not they have mental illness or abnormal symptoms. The learning device includes: first cards (status cards) selected by each test account during a preset period; Stories of each test account associated with each selected first card; Solutions selected by each test account for each story; The online card game play results of each test account by collecting the second cards that are the basis of each solution may be generated as training data.

Next, the learning device may generate a label.

For the learning of the first artificial neural network, the learning device collects the stress situations that each Internet user actually feels through questionnaire, counseling, and treatment, and a label corresponding to the training data. Can be created with

For learning of the second artificial neural network, the learning device collects the behaviors, objects/places, and abstract concepts that each Internet user prefers identified through questionnaires, counseling, and treatment as keywords, and labels corresponding to the training data ( label).

For learning of the third artificial neural network, the learning device includes 1 test account corresponding to testers diagnosed in advance as having mental illness or abnormal symptoms among testers participating in the online card game; Test accounts corresponding to testers diagnosed in advance as having no mental illness or abnormal symptoms may generate a list having a value of 0 as a label corresponding to the training data.

Now, the learning device may generate an input from the training data (610).

In the case of the first artificial neural network, the learning device uses the Internet use information of each user as an input of the artificial neural network, or removes search information overlapping with each other or information in which the number of repetitive searches is less than a preset number in the Internet use information. After processing such as, it is possible to generate an input of an artificial neural network.

In the case of the second artificial neural network, the learning device uses the Internet use information of each user as an input of the artificial neural network, or removes search information overlapping with each other or information in which the number of repetitive searches is less than a preset number in the Internet use information. After processing such as, it is possible to generate an input of an artificial neural network.

In the case of a third artificial neural network, the learning device can use the online card game play result of each test account as an input of the artificial neural network, or generate an input of the artificial neural network after normal processing to reduce the capacity of the input. have.

Next, the learning device may apply the input to the artificial neural network (620). The artificial neural network included in the server may be an artificial neural network that is learned according to supervised learning. The artificial neural network may be a convolutional neural network (CNN) or a recurrent neural network (RNN) structure suitable for training through supervised learning.

Subsequently, the learning device may obtain an output from the artificial neural network (630).

The output of the first artificial neural network may be an inference of a stressful situation in which Internet users feel compulsion, anxiety, depression, and the like. Specifically, the artificial neural network infers the stress situation of the Internet user based on the Internet user's search history, infers the stress situation of the Internet user based on the image click history of the Internet user, and based on the Internet user's video viewing history. By inferring the stressful situation of Internet users, it is possible to output a stressful situation in which Internet users feel compulsion, anxiety, and depression.

The output of the second artificial neural network may be an inference of a keyword about an action, object/place, or abstract concept preferred by Internet users. Specifically, the artificial neural network infers keywords preferred by internet users based on internet users' search history, infers keywords preferred by internet users based on image click history of internet users, and calculates internet users' video viewing history. By inferring keywords preferred by Internet users as a basis, keywords for actions, objects/places, or abstract concepts preferred by Internet users may be output.

The output of the third artificial neural network may be an inference of whether the test account user has a mental illness. Specifically, the artificial neural network includes first cards (situation cards) selected by the test account for a preset period; Stories of the test account associated with each selected first card; The solutions chosen by the test account for each story; The determination of the mental illness of the test account user may be output by inferring on the basis of the second cards that are the basis of each solution.

Thereafter, the learning device may compare the output and the label (640 ). The process of comparing the output of the artificial neural network corresponding to the inference and the label corresponding to the correct answer may be performed by calculating a loss function. As the loss function, a known mean squared error (MSE), cross entropy error (CEE), or the like may be used. However, the present invention is not limited thereto, and loss functions used in various artificial neural network models may be used as long as the deviation, error, or difference between the output of the artificial neural network and the label can be measured.

Next, the learning device may optimize the artificial neural network based on the comparison value (650). By updating the weight of the nodes of the artificial neural network so that the comparison value of the learning device becomes smaller, the output of the artificial neural network corresponding to inference and the label corresponding to the correct answer can be gradually matched. It can be optimized to output an inference close to the correct answer. Specifically, the learning apparatus may optimize the artificial neural network by repeating the process of resetting the weight of the artificial neural network so that the loss function corresponding to the comparison value approaches the estimated value of the minimum value. For the optimization of artificial neural networks, known backpropagation algorithms, stochastic gradient descent, and the like can be used. However, the present invention is not limited thereto, and a weight optimization algorithm used in various neural network models may be used.

The learning device can train an artificial neural network by repeating this process.

Through this, the learning device is based on the Internet search history, the image click history, and the video viewing history of the account user for a preset time interval; A first artificial neural network that infers and outputs a stressful situation in which an account user feels compulsion, anxiety, depression, etc. may be trained. The first artificial neural network may be used to generate cards of each of the first card groups described above with reference to FIGS. 2 and 3.

In addition, the learning device is based on the Internet search history, the image click history, and the video viewing history of the account user for a preset time interval; It is possible to train a second artificial neural network that infers and outputs an action, object/place, or abstract concept preferred by the account user. The second artificial neural network may be used to generate the cards of the second card group described above with reference to FIGS. 2 and 3.

In addition, the learning device may include a game play result of the account-first cards (status cards) selected by the account for a predetermined period; Stories of the account associated with each selected first card; Solutions chosen by the account for each story; Based on the second cards, which are the basis of the solution, it is possible to train a third artificial neural network that outputs the determination of an anomaly of an account user. The third artificial neural network may be used to determine an abnormal symptom of the account user described above with reference to FIG. 4.

7 is an exemplary diagram of a configuration of an apparatus according to an embodiment.

The device 701 according to an embodiment includes a processor 702 and a memory 703. The processor 702 may include at least one of the devices described above with reference to FIGS. 1 to 6, or may perform at least one method described above with reference to FIGS. 1 to 6. Specifically, the device 701 includes a server 100; 1-3th user terminals 111-113; Hospital server 500; Alternatively, it may be an artificial neural network learning device or the like. A person or organization using the device 701 may provide services related to some or all of the methods described above with reference to FIGS. 1 to 6.

The memory 703 may store information related to the above-described methods or a program in which methods described below are implemented. The memory 703 may be a volatile memory or a nonvolatile memory.

The processor 702 can execute a program and control the device 701. The code of a program executed by the processor 702 may be stored in the memory 703. The device 701 is connected to an external device (eg, a personal computer or a network) through an input/output device (not shown), and may exchange data through wired or wireless communication.

The device 701 may be used to train an artificial neural network or use the learned artificial neural network. The memory 703 may include a learning artificial neural network or a learned artificial neural network. The processor 702 may train or execute an artificial neural network algorithm stored in the memory 703. The apparatus 701 for training the artificial neural network and the apparatus 701 using the learned artificial neural network may be the same or may be separate.

The embodiments described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices, methods, and components described in the embodiments are, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. Further, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or, to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

As described above, although the embodiments have been described by the limited drawings, various technical modifications and variations can be applied based on those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as systems, structures, devices, circuits, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the following claims.

Claims (5)

In the online card game progress method performed by the server,
Creating at least one first card group;
Creating a second card group;
Distributing a predetermined number of second cards to accounts participating in the online card game;
Revealing to the accounts one card belonging to each first card group;
Receiving, from a user terminal to which the designated account is accessed, a first card selected from the publicly disclosed first cards, and a story of the designated account related to the selected first card;
Transmitting the selected first card and the story to accounts other than the designated account;
Receiving a second card selected from among the second cards distributed to the remaining accounts and a solution suggested based on the selected second card from a user terminal to which each of the remaining accounts is accessed;
Transmitting the selected second cards and the solutions to the designated account;
Receiving the solution selected by the designated account; And
Steps to change the credit of the account that presented the selected solution
Including
How to play online card games.
The method of claim 1,
Generating the at least one or more first card groups,
Obtaining internet usage information of the accounts; And
Generating cards of each first card group based on the Internet usage information of the accounts
Including,
The step of creating the second card group,
Generating cards of a second card group based on the Internet usage information of the accounts
Containing,
How to play online card games.
The method of claim 1,
Converting the selected first card into a database as data of the designated account;
Converting the story into database data of the designated account;
Converting the selected solution into a database as data of the designated account;
Databaseizing the second card, which is the basis of the selected solution, as data of the designated account; And
Converting the account presenting the selected solution into a database as data of the designated account
Further comprising
How to play online card games.
The method of claim 3,
Selecting an account to perform data analysis;
Analyzing the data of the selected account to determine an abnormal symptom of a user using the account;
When the user's abnormal symptom is determined, transmitting at least some of the data of the account to a preset doctor account
Further comprising
How to play online card games.
Create at least one or more first card groups,
Create a second card group,
Distribute a predetermined number of second cards to accounts participating in the online card game,
Disclosing a card belonging to each first card group to the accounts one by one,
From a user terminal to which the designated account is accessed, a first card selected from the published first cards of the designated account, and a story of the designated account related to the selected first card are transmitted,
Transmit the selected first card and the story to other accounts excluding the designated account,
Receiving a second card selected from among the second cards distributed to the remaining accounts from the user terminal to which each of the remaining accounts has accessed, and a solution proposed based on the selected second card,
Transmit the selected second cards and the solutions to the designated account,
The above-named account receives the selected solution,
Changing the credit of the account that presented the selected solution
Processor
Including
Online card game progression device.

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