WO2018052170A1 - Emoticon information processing method and system - Google Patents

Abstract

The present invention relates to an emoticon information processing method and system. The emoticon information processing method according to the present invention can comprise: a step of setting a character; a personality setting step of setting the personality of the character; and a step of displaying an emoticon including the character of which the personality has been set.

Description

Method and system for processing emoticon information

The present invention relates to a method and a system for processing emoticon information.

The present invention claims the benefits of Korean Patent Application Nos. 10-2016-0117973 and 10-2016-0117978 and 10-2016-0117986 filed on September 13, 2016, the contents of which are incorporated herein in its entirety. do.

Recently, in a multi-party chat application in a smartphone environment, users are using emoticons to effectively convey their emotions.

As users' demand for emoticons increases, messenger apps such as KakaoTalk and Line provide various kinds of emoticons to users.

However, in the related art, in order to use the emoticon, it is inconvenient because the user must directly search for the emoticon to use.

In order to reduce the inconvenience, a technique for recommending an emoticon in a messenger app has been proposed, but the existing technology cannot consider the emotions and intentions of the user, and does not satisfy the user's state and situation.

An object of the present invention is to provide an emoticon information processing method and system for providing an emoticon desired by a user based on an expression item such as an image and a text.

Another object of the present invention is to provide an emoticon information processing method and system for providing an emoticon in consideration of an expression condition such as a user's emotion and situation.

It is still another object of the present invention to provide a method and system for processing emoticon information for imparting a certain personality to an emoticon through a teaching and learning process.

Still another object of the present invention is to provide a method and system for processing emoticon information for changing an emoticon according to a predetermined condition.

An information processing method of an emoticon according to an embodiment of the present invention comprises: setting a character, a personality setting step of setting a personality of the character, and an emoticon including the character with the set character It may include the step of displaying.

In addition, the character's personality may include a reaction style of the character.

It is also possible that the character has at least one or more personalities.

The personality setting step may include setting a standard personality of the character.

In addition, the basic personality may correspond one by one to the character or one-to-one correspondence with an opponent registered by a user.

In addition, the personality setting step may further include setting a personal personality of the character.

In addition, the step of setting the personal personality may include a teaching step and a learning step.

The teaching may include matching an expression item including an action corresponding to the character to an expression condition.

In addition, the presentation material may include at least one of a text material and an image material.

In addition, the action may include at least one of dialogue, facial expression, action, and pose.

The expression condition may include at least one of a sensing condition, a relation condition, an emotion condition, an action condition, a dialogue condition, and a situation condition. It may include.

In addition, the detection condition may include at least one of information about a geographic environment, information about a weather environment, and information about a temporal environment.

The relationship condition may include information about a relationship between a user and a partner registered by the user.

In addition, the emotional condition may include information on the emotional state of the user.

The learning step may include extracting a learning item by analyzing a dialogue between the user and the opponent, and information on the relationship between the user and the opponent based on the extracted learning material, and the user with respect to the opponent. Obtaining at least one of information about the emotion of the.

The learning material may include at least one of contents of a conversation between a user and a partner, a conversation environment between the user and the partner, a conversation amount between the user and the partner, and a number of conversations.

The method may further include recommending at least one emoticon.

According to another aspect of the present invention, there is provided a method of processing emoticon information, the method including: setting a character, and displaying a teaching template including at least one expression item corresponding to the set character on a screen. And displaying at least one of the expression materials selected by the user and matching the expression condition to an expression condition to set the personality of the character.

According to another embodiment of the present invention, an information processing method of an emoticon may include: setting a character corresponding to a host user; an expression item including an action corresponding to the character Setting at least one of the at least one emoticon including the character in relation to the expression material when an event corresponding to the expression item occurs in a conversation input to the messenger dialog. It may include a display step to display on the screen.

In addition, in the displaying step, when an event corresponding to the expression item occurs in the conversation input to the messenger chat window, at least one emoticon related to the expression material is recommended to the user. The emoticon selected by the user among at least one recommended emoticon may be displayed on the messenger chat window.

In addition, the action may include at least one of an expression, an action, and a pose.

In addition, the presentation material may include at least one of an image material and a text material.

In addition, the image material may include an object that is the subject of the action and words corresponding to the object.

The event may correspond to the case where at least one of the host user or a guest user corresponding to the host user inputs contents corresponding to the dialogue in the messenger chat window.

In addition, when the event occurs, the character action may recommend or automatically select at least one or more emoticons corresponding to the action of the object to the host user.

In addition, the image material may include a first object and a second object, which are subjects of the action.

The event may correspond to a case where a guest user corresponding to the host user inputs an emoticon corresponding to any one of a first object and a second object into the messenger chat window.

In addition, when the event occurs, at least one emoticon corresponding to the other of the first object and the second object may be recommended and automatically selected to the host user.

In addition, the text material may include a description portion describing an action of an object that is the subject of the action, and a dialogue portion corresponding to words of the object.

The event may correspond to the case where at least one of the host user or a guest user corresponding to the host user inputs contents corresponding to the dialogue part in the messenger chat window.

In addition, when the event occurs, at least one emoticon whose action of the character corresponds to the description part may be recommended and automatically selected to the host user.

In addition, the text material may include a first description portion describing an action of a first object and a second description portion describing an action of a second object corresponding to the first object. have.

The event may correspond to a case where a guest user corresponding to the host user inputs an emoticon corresponding to one of the first and second description parts into the messenger chat window.

In addition, when the event occurs, at least one emoticon corresponding to the other of the first description part and the second description part may be recommended and automatically selected to the host user.

The information processing method of the emoticon according to another embodiment of the present invention is to determine an expression condition related to the activated messenger chat window when the messenger chat window is activated, and to display the expression condition in the conversation input to the messenger chat window. If an event corresponding to a matching expression item occurs, the method may include a recommendation step of recommending at least one emoticon related to the expression material.

The method may further include setting a character corresponding to the emoticon.

The user participating in the messenger chat window may include a host user, which is a terminal user on which the messenger chat window is displayed, and at least one guest user, and the event is a conversation input by the host user. And a conversation input by the guest user.

In addition, in the recommendation step, at least one emoticon related to the expression material may be recommended and automatically selected to the host in response to the event.

In addition, the expression material may include an action of an object, and the action may include at least one of dialogue, facial expression, action, and pose.

In addition, the presentation material may include at least one of a text material and an image material.

The expression condition may include a sensing condition, a relation condition, an emotion condition, an action condition, a pose condition, a facial condition, and a metabolic condition. It may include at least one of a Words Condition and a Situation Condition.

In addition, the detection condition may include at least one of information about a geographic environment, information about a weather environment, and information about a temporal environment.

The relationship condition may include information on a relationship between a host user, which is a terminal user on which the messenger chat window is displayed, and a guest user who participates in the messenger chat window.

The emotion condition may include information on an emotion state of a host user who is a terminal user on which the messenger chat window is displayed.

In addition, at least some of the expression conditions may be set by a host user who is a terminal user who displays the messenger chat window.

In addition, at least some of the expression conditions may be extracted based on a conversation input to the messenger conversation window.

The information processing method and system of the emoticon according to the present invention has an effect of providing the emoticon desired by the user more effectively.

1 to 6 are diagrams for explaining the emoticon.

7 to 11 are views for explaining the configuration of the emoticon information processing system according to the present invention.

12 to 45 are diagrams for explaining the emoticon information processing method using the expression material.

46 to 74 are views for explaining the emoticon information processing method using the expression material and the expression conditions.

Hereinafter, a method and a system for processing emoticon information according to the present invention will be described in detail with reference to the accompanying drawings.

As the invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description. It is not intended to limit the invention to the specific embodiments, it can be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

In describing the present invention, terms such as first and second may be used to describe various components, but the components may not be limited by the terms. The terms may be used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

The term and / or may include a combination of a plurality of related items or any item of a plurality of related items.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected or connected to that other component, but other components may be present in between. Can be understood. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it may be understood that there is no other component in between.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the present invention. Singular expressions may include plural expressions unless the context clearly indicates otherwise.

In this application, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, action, component, part, or combination thereof described in the specification, and one or more other features. It may be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, parts, or a combination thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in the commonly used dictionaries may be interpreted to have meanings consistent with the meanings in the context of the related art, and shall be interpreted in ideal or excessively formal meanings unless expressly defined in the present application. It may not be.

In addition, the following embodiments are provided to more fully describe those skilled in the art, and the shape and size of elements in the drawings may be exaggerated for clarity.

The various embodiments described below can be implemented in a recording medium readable by a computer or similar device using software, hardware or a combination thereof.

According to a hardware implementation, embodiments of the present invention may include application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), and field programmable gate arrays (FPGAs). (processors), controllers (controllers), micro-controllers (micro-controllers), microprocessors (microprocessors), may be implemented using at least one of the electrical unit for performing a function.

On the other hand, according to the software implementation, embodiments such as a procedure or a function in the present invention may be implemented with a separate software module for performing at least one function or operation.

Hereinafter, 'A and / or B' may be interpreted as 'at least one of A and B'.

An emoticon used in the present invention will be described with reference to FIGS. 1 to 6.

1 to 6 are diagrams for explaining the emoticon. Hereinafter, the description of the above-described parts may be omitted.

An emoticon is a compound word of an emotion and an icon representing emotion.

In the present invention, the emoticon may include a predetermined character. Here, the character may include not only people, animals, and objects but also punctuation symbols and special characters. In the following description, it is assumed that the character is a person, an animal, or an object for convenience of explanation.

In the emoticon, the character may take a certain action. Here, the action may include at least one of an action, a pose, and an expression.

For example, as in the case of FIG. 1 and FIG. 2, the emoticon of FIG. 1 and the emoticon of FIG. 2 may each include a 'hodol' as a character and have different behaviors and / or poses. That is, the emoticon of FIG. 3 and the emoticon of FIG. 4 may be distinguished as behaviors and / or poses, while including the same 'idol' character.

Alternatively, as in the case of FIGS. 3 and 4, the emoticon of FIG. 3 and the emoticon of FIG. 4 may include a 'hodol' character (hodol) wearing different clothes and / or props.

As such, the same character may be distinguished by different emoticons when wearing (having) different clothes and / or props.

Alternatively, as in the case of FIGS. 5 and 6, the emoticon of FIG. 5 and the emoticon of FIG. 6 may include the same character having different expressions.

As such, even if the same character has a different expression can be distinguished by different emoticons.

The emoticon information processing system for processing the information on the emoticon will be described below with reference to FIGS. 7 to 11.

7 to 11 are views for explaining the configuration of the emoticon information processing system according to the present invention.

Referring to FIG. 7, the emoticon information processing system 1 according to the present invention may include an emoticon server 10, a communication server 20, and a user terminal 30.

The emoticon server 10 may process information about an emoticon. In other words, the emoticon server 10 may perform setting and transmission and reception of emoticons. For example, the emoticon server 10 may provide information about the emoticon to the user terminal 30, and recommend and provide a predetermined emoticon to the user terminal 30 in response to the information set in the user terminal 30. Can be.

In addition, the emoticon server 10 may communicate with the communication server 20 and provide information about the emoticon to the communication server 20.

The user terminals 30 may communicate with each other through the communication server 20.

In the present invention, the user terminal 30 may communicate with the emoticon server 10 and / or the communication server 20, and executes a messenger program and may be applied to any one that can use an emoticon through the messenger program. have. For example, the user terminal 30 may be a mobile communication terminal such as a smart phone or a PC such as a laptop or a desktop.

The communication server 20 may manage communication between the user terminals 30 and communication between the user terminal 30 and the emoticon server 10.

In the present invention, the emoticon server 10 and the communication server 20 can be merged. For example, the emoticon server 10 may be included in the communication server 20.

The emoticon information processing system 1 of FIG. 7 may be more clearly described below.

Since the components shown in FIG. 7 are not essential, it is also possible to implement the emoticon information processing system 1 having more or fewer components.

An emoticon server 10 that processes information on emoticons will be described in more detail below with reference to FIG. 8.

Referring to FIG. 8, the emoticon server 10 includes a character unit 100, a personality unit 200, a recommendation unit 300, a user information unit 400, a change unit 500, a storage unit 600, and a control unit 700. ) May be included.

The character unit 100 may set a character. In addition, the character unit 100 may process and manage information on various characters, and provide the same to the user terminal 30.

In addition, the character unit 100 may set (select) a character according to a request of the user terminal 30.

Also, the character unit 100 may control and manage an action (at least one of an action, a pose, and an expression) of the character.

The personality unit 200 may set the personality of the character. In addition, the personality unit 200 may process and manage information on the personality. For example, the personality unit 200 may give a character a predetermined personality and manage information about the personality.

Here, the character's personality may include a reaction style of the character. In other words, the character's personality may refer to a response style such that the character takes an action or changes in some way in response to a predetermined condition.

If an action taken by a certain character is regarded as a kind of reaction, the emoticon in the present invention may be described as a combination of a character and a personality. That is, the emoticon may include a character to which a personality is given.

One character may include at least one personality. For example, it is possible for one character to have a single personality.

Alternatively, one character can have a plurality of personalities. It may be possible for a given character to have a different personality depending on the opponent. For example, a personality corresponding to a character's lover, a personality corresponding to a parent, a personality corresponding to a friend, and a personality corresponding to a boss may be different.

This personality can be set directly by the user of the user terminal 30.

Alternatively, the personality may be set by the emoticon server 10.

The nature will be described more clearly below.

The personality part 200 may include a basic personality part 200A and a personal personality part 200B. This will be described in detail later with reference to FIGS. 9 to 10.

The recommender 300 may recommend a predetermined emoticon to the user. To this end, the recommendation unit 300 may analyze the similarity between the expression material and the emoticon set by the user.

The recommendation method of the emoticon will be described in more detail below.

The user information unit 400 may store and manage information about a user of the user terminal 30, that is, a host user.

In addition, the user information unit 400 may store and manage information on a guest user corresponding to the host user. Here, information about the guest user may be set and stored in the terminal 30 of the host user.

If the information on the guest user is not stored in the host user terminal 30, the user information unit 400 analyzes the conversation between the host user and the guest user and provides information on the relationship between the host user and the guest user. It is possible to infer and obtain information about the guest user.

Here, the host user H and the guest user G may be distinguished from the viewpoint of the user terminal 30. For example, suppose that a first user of a first terminal invites a second user of a second terminal to a messenger chat window. In this case, the first user may be a host user and the second user may be a guest user from the perspective of the first terminal. On the other hand, from the standpoint of the second terminal, the second user may be a host user and the first user may be a guest user.

The changer 500 may set and manage the change of the emoticon. Such a change unit 500 will be described in detail later with reference to FIG. 11.

The storage unit 600 may store various information, programs, data, etc. used in the emoticon server 10.

The controller 700 may control overall functions and operations of the emoticon server 10.

The components shown in FIG. 8 are not essential, so it is also possible to implement an emoticon server 10 with more or fewer components.

Referring to FIG. 9 attached to the personality unit 200B of the personality unit 200 in more detail as follows.

Referring to FIG. 9, the personality personality 200B may include a teaching part 210 and a learning part 220.

The teaching unit 210 may give a character a predetermined character through a teaching process.

In addition, the learning unit 220 may give a character a predetermined character through a learning process.

The teaching unit 210 may include a teaching teaching unit 211, an expression material unit 212, a conditional unit 213, and a matching part 214.

The teaching textbook 211 may set (select) a teaching material and manage information on the teaching text.

The expression material unit 212 may select an expression material included in the teaching textbook and manage information about the expression item.

Here, the teaching material includes at least one expression material, and may include at least one of cartoons, novels, essays, chatting, and photographs.

The expression material may correspond to a portion of the teaching manual that includes at least one of dialogue, facial expression, behavior, and pose.

Here, at least one of dialogue, facial expression, and pose may be referred to as an action. In consideration of this, the expression material may include an action corresponding to the set character.

Alternatively, considering that an action is performed by a given object, the presentation material may also be viewed as including the action of the object.

The presentation material may include at least one of an image material and a text material. Here, the image material may be image type material, and the text material may be text type material.

The image material may include at least one object that is the subject of the action.

The text material may include a portion (description portion) that describes the action of at least one object that is the subject of the action.

For example, the cartoon 'slam dunk' may correspond to the teaching material, and a cartoon cut or a page included in the cartoon 'slam dunk' may correspond to the presentation material.

The conditional unit 213 may set an expression condition and manage information on the expression condition.

The expression condition may include information about various conditions corresponding to the emoticon.

The condition part 213 may include a detection condition part 213a, a relationship condition part 213b, an emotion condition part 213c, a situation condition part 213d, a metabolic condition part 213e, and an action condition part 213f.

The sensing conditioner 213a may set and / or manage a sensing condition among the expression conditions.

The detection condition may include at least one of information about a geographical environment, information about a weather environment, and information about a temporal environment.

To this end, the detection condition unit 213a may include a sensing device such as a clock, a GPS, a thermometer, and a hygrometer. Alternatively, the detection condition unit 213a may access the Internet through a communication network to obtain information about the geographical environment (latitude, case, country, administrative area, etc.), weather information, and temporal environment information. have.

The relationship condition unit 213b may set and / or manage a relationship condition.

Here, the relationship condition may include information about the relationship between the user and the partner registered by the user.

The emotion condition unit 213c may set and / or manage an emotion condition.

Here, the emotional condition may include information about the emotional state of the user.

Emotional conditions can correspond to one character one by one.

Alternatively, various emotion conditions may be set for one character. For example, it may be possible to set emotions for parents, feelings for friends, feelings for the boss, and feelings for lovers.

The situation condition unit 213d may set and / or manage a situation condition.

Here, the situation condition may include a condition for a temporal situation. For example, the situation condition may include a condition for the first waiting time, a condition for the second waiting time, and / or a condition for the third waiting time.

The first waiting time may mean a time from a time when a sender sends a message to a time when a receiver checks a message. The first waiting time may be referred to as confirmation waiting time.

The second waiting time may mean a time from when the receiver checks the message to when the answer message is sent to the sender. The second waiting time may be referred to as a response waiting time.

The second waiting time may be set when the sender sends a message to the recipient to answer.

The third waiting time may mean a time from when the sender sends the message to the time when the receiver sends the response message. The third waiting time may be referred to as total waiting time.

The metabolic condition unit 213e may set and / or manage words conditions.

The metabolic condition may refer to a condition for words that correspond to an object.

The action conditioner 213f may set and / or manage an action condition.

The action condition may mean a condition for an action of a predetermined object.

The action condition may include at least one of an action condition for an action of the object, a pose condition for a pose of the object, and a facial condition for an expression of the object.

Hereinafter, for convenience of explanation, metabolic conditions and action conditions may be collectively referred to as display conditions. In other respects, the presentation condition may be viewed as including a display condition.

The matching unit 214 may match the expression material and the expression condition.

The learning unit 220 may include a learning material unit 221, an information obtaining unit 222, and an information applying unit 223.

The learning material unit 221 may extract a learning item by analyzing a conversation between the user and the partner, that is, a conversation between the host user and the guest user, and manage the learning item.

The information acquirer 222 may analyze the learning material to obtain relationship information and / or condition information. For example, the information acquisition unit 222 may provide information about the relationship between the user and the partner (the relationship between the host user and the guest user) based on the learning material extracted by the learning material unit 221, and the user's emotion about the opponent ( At least one of information on the emotion of the host user with respect to the guest user may be obtained.

The information applying unit 223 may apply the information obtained by the information obtaining unit 222.

The personality unit 220B of FIG. 9 may be more clearly understood through the following description.

The components shown in FIG. 9 are not essential, so it is also possible to implement the emoticon server 10 with more or fewer components. For example, although not shown in FIG. 9, the condition unit 213 of the personal personality unit 220B may further include a shopping information condition unit, a payment information condition unit, and a game use condition unit. The shopping information conditional unit may manage information such as whether the price search information is used in a specific (designated) site. The payment information condition unit may manage information such as various cards and coupons held and payment usage history. The game usage condition unit may manage game information or the like that is installed or executed on the terminal. Knowing game information, it is easy to extract the emoticon and increase sales.

Referring to FIG. 10 with respect to the recommendation unit 300 in more detail as follows.

Referring to FIG. 10, the recommendation unit 300 includes an expression condition analyzer 310, an expression material determiner 320, a conversation analyzer 330, an event detector 340, a recommended emoticon extractor 350, and information. It may include a providing unit 360.

The conversation analyzer 330 may analyze a conversation between a host user and a guest user input in the messenger chat window.

When the messenger chat window is executed, the expression condition analyzer 310 may analyze the expression condition corresponding to the messenger chat window.

The event detector 340 may determine whether an event occurs in a conversation input in the messenger chat window. Here, the event may correspond to satisfying a condition of recommending, providing, and using a predetermined emoticon.

An event may correspond to a presentation material or a presentation condition.

The expression material determiner 320 may determine and detect the expression material corresponding to the expression condition analyzed by the expression condition analyzer 310.

The recommended emoticon extractor 350 may extract an emoticon to be recommended to the user.

The information provider 360 may recommend and provide an emoticon extracted by the recommended emoticon extractor 350 to a user (host user).

Since the components shown in FIG. 10 are not essential, it is also possible to implement the recommendation unit 300 with more or fewer components.

The change unit 500 will be described below in more detail with reference to FIG. 11.

11, the changer 500 may include a change conditional unit 510 and an emoticon changer 520.

The change condition unit 510 may determine whether a condition for changing an emoticon is satisfied, and obtain and manage information about the emoticon.

The emoticon changing unit 520 may change the emoticon displayed on the messenger chat window according to the information acquired by the change condition unit 510.

The change condition part 510 may include a relationship condition part 511, a weather condition part 512, a time condition part 513, an emotion condition part 514, a location condition part 515, a metabolic condition part 516, and an action condition part 517. Can be.

The relationship condition unit 511 may set a relationship condition for changing an emoticon and manage information on the condition. In addition, the relationship condition unit 511 may determine whether a relationship condition for changing an emoticon is satisfied.

The weather conditioner 512 may set weather conditions for changing the emoticon and manage information on the weather conditions. In addition, the weather conditioner 512 may determine whether weather conditions for changing the emoticon are satisfied.

The time condition unit 513 may set a time condition for changing an emoticon and manage information on the time condition. In addition, the time conditioner 513 may determine whether the time condition for changing the emoticon is satisfied.

The emotion condition unit 514 may set an emotion condition for changing an emoticon and manage information on the emotion condition. In addition, the emotion condition unit 514 may determine whether an emotion condition for changing the emoticon is satisfied.

The location conditioner 515 may set a location condition for changing an emoticon and manage information on the location condition. In addition, the location conditioner 515 may determine whether a location condition for changing the emoticon is satisfied.

The metabolic condition unit 516 may set metabolic conditions for changing an emoticon and manage information on the metabolic condition. In addition, the metabolic condition unit 516 may determine whether the metabolic condition for changing the emoticon is satisfied.

The action conditioner 517 may set an action condition for changing an emoticon and manage information on the action condition. In addition, the action conditioner 517 may determine whether an action condition for changing an emoticon is satisfied.

Since the components shown in FIG. 11 are not essential, it is also possible to implement the changer 500 having more or fewer components.

Hereinafter, a method of processing emoticon information will be described with reference to the accompanying drawings.

12 to 45 are diagrams for explaining an emoticon information processing method using an expression material. Hereinafter, the description of the above-described parts may be omitted.

As shown in FIG. 12, in the emoticon information processing method, a character may first be set (S100).

In the setting of the character (S100), a character template including at least one character may be displayed on the screen of the user terminal (S110).

For example, as in the case of FIG. 13, a template including 'Hodly', 'Canggu', 'Peach', 'Pucca', 'Frodo' and 'Neo' may be displayed on the screen.

Thereafter, when the user selects a desired character from the character template (S120), the selected character may be set as his character.

Thereafter, the expression material may be set (S200).

In setting the expression material (S200), at least one expression material may be extracted (S210), and at least one of the extracted expression materials may be selected (S220).

For example, as in the case of Figs. 14 and 15, a predetermined cut (expression material) can be extracted from a predetermined cartoon (teaching material).

14 and 15 may correspond to a case in which the expression material includes an object and a corresponding dialogue. In FIG. 14 and FIG. 15, an object may correspond to a character.

Alternatively, as in the case of Figs. 16 to 18, a predetermined picture may be set as the expression material.

16 to 18 may correspond to a case in which the expression material includes an object and a corresponding dialogue. In FIG. 16 and FIG. 18, the object is a character, and in FIG. 17, the object may correspond to an object (buddha).

Alternatively, as in the case of FIG. 19, the expression material does not include the dialogue and may include an action of at least one object.

14 to 19 may correspond to a case in which the presentation material is an image material.

Alternatively, it may be possible that the presentation material includes a text material without an object. This will be described below.

In setting the expression material (S200), as in the case of FIG. 20, it is possible to display a template including at least one expression material on a screen and select at least one expression material from the displayed template.

The template of FIG. 20 may be referred to as a teaching template.

By setting the expression material, it is possible to analyze the set expression material and determine display conditions including action conditions and metabolic conditions. This will be described below with reference to FIG. 21.

Referring to FIG. 21, when the expression material is set, it is determined whether the set expression material is an image material (S230), and if the expression material is not an image material, it is determined whether the expression material is a text material. It may be determined whether or not (S240).

As a result of the determination in step S240, when the presentation material is not the text material, another preset function (Default) may be performed (S250). For example, it can be determined that the expression material cannot be discriminated.

On the other hand, as a result of the determination in step S240, when the presentation material is a text material will be described in FIG.

As a result of the determination in step S230, when the expression material is an image material, an object included in the image material may be extracted and analyzed (S231).

Thereafter, the action of the extracted object may be analyzed (S232), and at least one emoticon corresponding to the expression material may be extracted based on the analysis result (S233).

For example, the information on the action of the extracted object may be compared with a plurality of previously stored emoticons to extract at least one emoticon that is at least a certain level similar to the action of the extracted object.

Subsequently, it is determined whether or not the expression material includes the dialogue (S234). When the determination result does not include the dialogue, the display condition may be set based on the information about the action of the object extracted in the previous step. There is (S237). The display condition set in this way may be referred to as an action condition.

On the other hand, if the metabolism is included in the expression material as a result of the determination in step S234, the metabolism may be analyzed (S235).

Thereafter, the information on the analyzed conversation may be matched with the extracted emoticon (S236).

Thereafter, the display condition may be set based on the information on the metabolism (S237). The display conditions set in this way can be referred to as metabolic conditions.

For example, assume that the image is set as the expression material as shown in FIG. 22 may correspond to a case in which the expression material includes an object and a dialogue corresponding to the object.

In this case, the action of the object of the expression material of FIG. 22 may be analyzed, and the analyzed action information may be compared with at least one emoticon to extract at least one emoticon having a predetermined level or more.

An example of an emoticon that is at least a certain level similar to an action of an object included in the expression material of FIG. 22 is posted in FIG. 23.

The expression material of FIG. 22 includes the phrase 'best', and the content corresponding to the metabolism can be set as the metabolic condition. The metabolic condition is a trigger for recommending / displaying emoticons.

Subsequently, when an event corresponding to the expression material occurs in a conversation input in the messenger dialog window, the user recommends at least one emoticon related to the expression material to the user, and the user selects one of the recommended emoticons. It can be displayed in a dialog.

In other words, when an event occurs, the host user may recommend at least one emoticon whose action corresponds to that of the object.

For example, as in the case of FIG. 24, assume that a guest user inputs 'best' during a conversation between the host user H and the guest user G.

Here, 'the best' may correspond to the dialogue related to the object included in the expression material.

In other words, the guest user may input the dialogue corresponding to the metabolic condition into the messenger dialog.

In this case, as in the case of FIG. 25, the emoticon server 10 may include at least one emoticon corresponding to 'best' which is an ambassador input by the guest user G on the screen of the terminal 30 of the host user H. Can be recommended.

Information on at least one emoticon recommended by the emoticon server 10 to the host user H may not be shown to the guest user G.

Although the emoticon server 10 recommends a plurality of emoticons to the host user H, the emoticon server 10 hosts a single emoticon when information on preferences is accumulated through a plurality of recommendation processes. It can be recommended to the user H.

Alternatively, the emoticon server 10 may not automatically recommend at least one emoticon to the host user, but may automatically input the emoticon of the recommendation object into the messenger chat window. In this case, it can be said that emoticons are used according to artificial intelligence.

Here, when the user selects a desired emoticon, as shown in FIG. 26, the emoticon selected in the messenger chat window may be displayed in response to the host user.

In this manner, the user (host user) selects the expression material in which the preferred action is depicted, and may automatically recommend an emoticon corresponding to the expression material when a predetermined condition (display condition) is satisfied.

In this case, the user can easily recommend and select a desired emoticon in a specific situation only by selecting a preferred expression material.

In addition, it is possible to automatically recommend a predetermined emoticon in response to the dialogue input by the guest user G, so that various emoticons can be used more easily.

On the other hand, it may be possible to recommend and display an emoticon corresponding to the expression material even when the dialogue is inputted in the messenger chat window that is not the same as the metabolic condition but is similar to a certain level or more.

For example, as in the case of FIG. 27, when the metabolic condition is 'best', the metabolism such as 'it was one of the best', 'it seems to be the best', 'it was the best', etc. as the metabolism is the same as the metabolic condition. Can be handled.

Similar metabolism can be changed or set in various ways.

Similar metabolism can be set according to the context of the content of the dialogue input in the messenger input window.

24 to 26, the case where the guest user G recommends at least one emoticon corresponding to the expression material to the host user H when the guest user G inputs contents corresponding to the metabolic condition in the messenger chat window will be described. However, the present invention may not be limited thereto.

In detail, an event for recommending or displaying an emoticon may correspond to a case in which at least one of the host user H and the guest user G inputs contents corresponding to the dialogue condition in the messenger chat window.

For example, as in the case of FIG. 28, at least one corresponding to the presentation material to the host user H when the host user H inputs contents ('highest') corresponding to the metabolic condition in the messenger dialog window. It is possible to recommend emoticons.

On the other hand, when metabolism is not included in the expression material, the action condition can be set as the display condition.

For example, as shown in FIG. 29, assume an expression material in which the first object OB1 and the second object OB2, which are the subjects of the action, take a predetermined action without dialogue.

In this case, the action of the first object OB1 and the action of the second object OB2 may be analyzed separately.

Based on a result of analyzing the action of the first object OB1, at least one emoticon that is similar to the action of the first object OB1 by a predetermined level or more may be extracted as shown in FIG. 30.

In addition, based on a result of analyzing the action of the second object OB2, at least one emoticon that is similar to the action of the second object OB2 by a predetermined level or more may be extracted as shown in FIG. 31.

Subsequently, when an event corresponding to the expression material occurs in a conversation input in the messenger chat window, at least one emoticon corresponding to the first object OB1 or at least one emoticon corresponding to the second object OB2 is provided to the user. I can recommend it.

For example, as in the case of FIG. 32, assume that a guest user inputs / displays an emoticon corresponding to the first object OB1 during a conversation between the host user H and the guest user G. FIG. Here, the event may correspond to the case where the guest user G inputs an emoticon corresponding to one of the first object OB1 and the second object OB2 into the messenger chat window.

As such, when the guest user G inputs an emoticon corresponding to the first object OB1, as in the case of FIG. 33, the emoticon server 10 provides the host user with at least a second object OB2 corresponding to the emoticon. You can recommend one emoticon.

Thereafter, as in the case of FIG. 34, the emoticon selected by the host user may be input / displayed in the messenger chat window.

If the guest user G inputs an emoticon corresponding to the second object OB2 in the messenger input window, the emoticon server 10 may provide the host user H with at least one corresponding to the first object OB1. It may be possible to recommend one emoticon.

On the other hand, it may be possible to recommend a certain emoticon even if the presentation material is a text material rather than an image material. This will be described below with reference to FIGS. 35 to 43.

Referring to FIG. 35, when it is determined in operation S240 described with reference to FIG. 21, if the expression material is a text material, the text material may be analyzed (S241).

Thereafter, the description part may be extracted from the text material based on the analysis result, and the description part may be analyzed (S242). Here, the description portion may be referred to as a portion that describes the action of the object that is the subject of the action.

Thereafter, at least one emoticon corresponding to the depicted portion may be extracted based on the analysis result of the depicted portion (S243).

Subsequently, it is determined whether or not the metabolic part exists in the text material (S244). When the metabolic part does not exist in the text material as a result of the determination, the display condition may be set based on the information about the extracted description part (S247). . In this case, the display condition may include an action condition corresponding to the depiction portion.

On the other hand, when the metabolic part is present in the text material as a result of the determination in step S244, the metabolic part may be extracted and the contents of the extracted metabolic part may be analyzed (S245).

Thereafter, the information analyzed by the metabolic part may be matched to the emoticon (S246).

Thereafter, the display condition may be set based on the information on the metabolic part (S247). Here, the display condition may include metabolic conditions corresponding to the metabolic portion.

The metabolic and descriptive parts described above can be extracted by parsing the text material.

For example, assume that a text material such as the case of FIG. 36 is set as the expression material.

In this case, the emoticon server 10 may extract an object from the text material, that is, the first object (OB1, I) and the second object (OB2, he).

Thereafter, the emoticon server 10 may extract a metabolic part corresponding to the object (here, the first object OB1). In FIG. 36, the metabolism part may be 'play a song'.

In addition, the emoticon server 10 may extract a description portion corresponding to the object (here, the second object OB2).

In FIG. 36, the depiction part AC wears sunglasses and tambourine in one hand. Then I picked up the microphone with my other hand and started singing along with the rhythm. '

In this case, the emoticon server 10 may set the dialogue part 'sing a song' as a metabolic condition. Metabolic conditions can be seen to be extracted from the metabolism.

In addition, as in the case of FIG. 37, the emoticon server 10 may extract at least one emoticon corresponding to the action of the object depicted in the description part.

In this situation, when an event corresponding to the expression material occurs in the conversation input to the messenger chat window, the emoticon server 10 may recommend the extracted at least one emoticon to the host user H.

For example, as shown in FIG. 38, the content corresponding to the metabolic conditions extracted from the metabolic part of the guest user G during the conversation between the host user H and the guest user G ('play a song') Let's assume that you type

Here, the event may correspond to the case where at least one of the host user H or the guest user G inputs contents corresponding to the dialogue part, that is, contents corresponding to the dialogue condition in the messenger chat window.

As described above, when the guest user G inputs contents corresponding to the dialogue part, the user recommends at least one emoticon corresponding to the description part to the host user H as shown in FIG. 37, and messengers the emoticon selected by the user. You can type in the dialog.

On the other hand, even if the description material is included in the text material but does not include the metabolic part, it may be possible to recommend a predetermined emoticon corresponding to the description part.

For example, suppose that a text material such as the case of FIG. 39 is set as the expression material.

In this case, the emoticon server 10 may extract an object from the text material, that is, the first object OB1 and the female, and the second object OB2 and the male.

Thereafter, the emoticon server 10 may extract the first description part AC1 corresponding to the first object OB1, and extract the second description part AC2 corresponding to the second object OB2.

In FIG. 39, the first depiction part AC1 states that the woman starts to run with her hair flying. The woman opened her arms and signaled the man to follow him. ' In addition, the second description part AC2 may be, 'laughing and began chasing a woman.'

The emoticon server 10 extracts at least one emoticon corresponding to the action of the first object OB1 of the first depiction part AC1 as shown in FIG. 40, and extracts at least one emoticon of the second depiction part AC2 as shown in FIG. 41. At least one emoticon corresponding to the action of the second object OB2 may be extracted.

Subsequently, as in the case of FIG. 42, when an event corresponding to the first portrayal part AC1 or the second portrayal part AC2 occurs in a conversation input to the messenger chat window, at least the first object OB1 corresponds to at least an event. At least one emoticon corresponding to one emoticon or the second object OB2 may be recommended to the user.

For example, as in the case of FIG. 42, assume that a guest user inputs / displays an emoticon corresponding to the first object OB1 during a conversation between the host user H and the guest user G. Here, the event may correspond to the case where the guest user G inputs an emoticon corresponding to one of the first description part AC1 and the second description part AC2 into the messenger chat window.

As such, when the guest user G inputs an emoticon corresponding to the first object OB1, the emoticon server 10 recommends at least one emoticon corresponding to the second object OB2 to the host user. Among the recommended emoticons, a user-selected emoticon may be input in a messenger chat window.

Meanwhile, the first emoticon corresponding to the first description part AC1 input by the guest user G and the second emoticon corresponding to the second description part AC2 input by the host user H are correlated with each other. In the case of taking an action, as in the case of FIG. 43, the first emoticon and the second emoticon may be displayed interactively in the messenger chat window.

In FIG. 43, the first emoticon and the second emoticon may be associated and displayed so that the second emoticon of the host user H follows the first emoticon of the guest user G.

In the above description, the case where the emoticon server 10 determines the display condition (the metabolic condition and / or the action condition) by analyzing the expression material has been described, but the present invention may not be limited thereto. For example, in the present invention, the user can manually set the display conditions. This will be described below with reference to FIGS. 44 and 45.

Referring to FIG. 44, in the setting of the expression material (S200), the display condition may be set after the step of selecting the expression material (S220) (S1100).

For example, as in the case of FIG. 45, it is possible to set 'highest', 'high five', 'take me out', or the like as the metabolic condition among the display conditions.

In addition, the expression material, for example, the image material may be matched to correspond to the metabolic conditions.

Alternatively, it is possible to match at least one emoticon with a display condition, for example, a metabolic condition.

In this case, the emoticon server 10 may determine that a metabolic condition occurs in a conversation between the host user H and the guest user G, and recommend at least one emoticon according to the determination result.

Here, although the case where the metabolic condition is set in advance among the display conditions has been described, the action condition may be set in advance.

As described above, when the display condition is set in advance, even when only the information on the action of one object is included in the expression material, the emoticon may be recommended using the expression material.

On the other hand, it may be possible to use a variety of emoticons more adaptively by matching the expression material described above to a variety of conditions (expression conditions). This will be described below with reference to FIGS. 46 to 74.

46 to 74 are views for explaining the emoticon information processing method using the expression material and the expression conditions. Hereinafter, the description of the above-described parts may be omitted. For example, since the contents of the expression material mentioned below correspond to the contents described above, a detailed description of the expression material may be omitted.

Referring to FIG. 46, in the emoticon information processing method according to the present invention, after setting a character (S100), a personality may be set corresponding to the character (S700).

The emoticon may include a character whose character is set. In other words, emoticons in the present invention can be described as a combination of character and personality.

An emoticon including a character to which a personality is assigned may be referred to as an emoticon to which intelligence is given.

The setting of the personality (S700) may include at least one of setting a standard personality of the character (S710) and setting a personal personality of the character (S720).

For example, in the present invention, in the personality setting step (S700), it is possible to include a step of setting a basic personality (S710) and a step of setting a personal personality (S720), or includes setting a basic personality. It may be possible not to.

The basic personality may correspond to one character one by one, as in the case of FIG. 47. This basic personality can be automatically set by the emoticon server 10 when the character is generated.

The character's personality may correspond to the character's reaction style. Considering this, setting the basic personality of a character can be said to set the basic reaction style for each character.

For example, when the guest user G is a friend or a junior, as shown in FIG. 48, when the guest user G inputs 'hello' in the messenger chat window, the dialogue input by the guest user G is input. In response to the light hand greeting emoticon by inputting a messenger chat window, the character's basic personality can be set.

When the guest user G is a sign or a boss, the guest user G inputs a 'hello' message in a messenger chat window as shown in FIG. 49. Corresponding polite emoticons can be entered in the messenger chat window to set the basic personality of the character.

Referring to FIG. 50, the type of the basic personality may be set differently according to the opponent (guest user G) in response to a predetermined character (hodol). For example, the basic personality type for the parent in response to a predetermined character may be politeness. When interpreting this, it can be seen that the 'Hodly' character reacts in a polite type when the guest user G is a parent.

In addition, the basic personality type for siblings and friends is 'no sense' in response to the 'hodol' character, and the basic personality type for the coworkers may be set to 'formal attire'.

As such, the basic personality of the character may correspond one-to-one with an opponent registered by the user (host user H).

Alternatively, when the host user stores the opponent (guest user) for each category, it may be possible to set the basic personality of the character for each category.

In the personality personality setting step S730, as in the case of FIG. 51, the expression material may be set (S200) and the expression condition may be set (S731). The order of setting the expression material (S200) and setting the expression condition (S731) may be reversed.

Thereafter, the expression material and the expression condition may be matched (S732).

In the setting of the expression material (S200), as described above with reference to FIG. 20, a teaching template including at least one expression material may be displayed on the screen.

In addition, in the matching step S732, the personality of the character may be set by matching at least one expression material selected by the user in the teaching template to an expression condition.

As in the case of FIG. 52, the expression condition may include at least one of a relationship condition, an emotion condition, a detection condition, a situation condition, an action condition, and a metabolic condition.

Here, at least some of the expression conditions may be set by the user of the terminal 30, that is, the host user H, on which the messenger chat window is displayed.

Alternatively, at least some of the expression conditions may be extracted / determined based on the dialogue input in the messenger dialogue.

Since the relationship condition, the emotion condition, the detection condition, the situation condition, the action condition, and the metabolic condition have been described in detail above, redundant descriptions may be omitted.

The emoticon server 10 may match the expression material to at least one expression condition. For example, as in the case of Fig. 53, an image material (photograph), which is an expression material, can be matched with a relationship condition, an emotion condition, and a metabolic condition among expression conditions.

53, in the case of a conversation through a messenger dialog with a parent, a coworker, and other users (guest user G), the guest user G and / or the host user H in all emotional states. Inputs a dialogue saying 'hello', at least one emoticon corresponding to the image material may be recommended to the host user H as shown in FIG.

The method of recommending at least one emoticon corresponding to the expression material (image material) has been described in detail above.

Here, although the expression material includes an object that takes a predetermined action, but there is no dialogue corresponding to the object, the expression material may include a metabolism.

In addition, the emoticon server 10 may be able to determine the metabolic condition by analyzing the metabolism included in the expression material. Alternatively, the emoticon server 10 may determine an action condition by analyzing an action of an object included in the expression material. As it has been described in detail above, redundant descriptions may be omitted.

The expression material may match at least one expression condition. In addition, different expression materials may be matched to the same expression conditions.

For example, as in the case of FIG. 55, the teaching template may include a plurality of teaching materials.

In addition, each teaching textbook may include at least one expression material (Cut1-Cut7).

Here, the first expression condition is matched to the first expression material Cut1, the third expression material Cut3, and the fourth expression material Cut4, and the second expression condition is the second expression material Cut2 and the seventh expression. May be matched to material Cut7.

In FIG. 46, the expression condition may be analyzed after the personality setting step S700 (S800).

In the expression condition analyzing step S800, the expression condition corresponding to the messenger chat window may be analyzed.

For example, as in the case of FIG. 56, after the personality setting step S700, it is determined whether the messenger chat window is opened (S810). When the messenger chat window is opened based on the determination result, the expression condition corresponding to the messenger chat window is determined. Information can be analyzed / determined.

For example, information about the relationship between the host user H and the guest user G may be determined by analyzing the information of the host user H and the guest user G participating in the opened messenger chat window (S820). ). That is, the information about the relationship condition can be determined.

Alternatively, the emoticon server 10 may determine at least one of detection information corresponding to the messenger chat window, for example, location information, weather information, and time information (S821).

To this end, the emoticon server 10 may receive the information detected by the GPS, the temperature sensor, etc. mounted on the terminal 30 of the host user (H) from the terminal 30 of the host user (H). Alternatively, the emoticon server 10 may obtain weather information, location information, time information, and the like through the Internet.

Alternatively, by analyzing the information of the host user (H) and the guest user (G) participating in the messenger chat window, it is possible to determine the emotional state of the host user (H), that is, the emotional condition for the guest user (G) There is (S822).

Information about the emotional state of the host user H with respect to the guest user G may be preset by the host user H.

Alternatively, the emoticon server 10 may determine an action condition corresponding to the opened messenger chat window (S823).

For example, the host user H may preset a desired action condition.

Alternatively, the emoticon server 10 may analyze the expression material set by the host user H to determine an action condition, and store information on the determined action condition.

Alternatively, the emoticon server 10 may determine the metabolic condition corresponding to the opened messenger chat window (S824).

For example, the host user H may preset a desired metabolic condition.

Alternatively, the emoticon server 10 may analyze the expression material set by the host user H to determine metabolic conditions, and store information on the determined metabolic conditions.

Alternatively, the emoticon server 10 may determine a situation condition corresponding to the opened messenger chat window (S825).

For example, the emoticon server 10 may include a condition for a temporal situation by analyzing information about an input time of a dialogue input by a guest user G and / or a host user H input in a messenger chat window. have. Here, the situation condition may include a condition for a first waiting time, a condition for a second waiting time, and / or a condition for a third waiting time. The first, second, and third waiting times have been described above.

After determining each expression condition, a plurality of expression conditions may be collectively determined (S830).

Thereafter, the conversation between the guest user G and the host user H may be analyzed in the messenger chat window to determine the occurrence of the event (S900).

As shown in FIG. 57, assume that the image material (first expression material E1) including the action for light greeting is matched with the relation condition (secondary) and the metabolic condition (hello) among the expression conditions.

In this case, when a messenger chat window is opened in which the host user H and the guest user G participate, the emoticon server 10 relates to the host user H and the guest user G participating in the messenger chat window. Can be identified.

The emoticon server 10 may determine that the metabolic condition is set to 'hello' when the relationship condition is a junior.

In addition, the emoticon server 10 may confirm / determine that the relation condition and the metabolic condition described above match the first expression material E1.

In summary, the event corresponding to the expression material matching the expression condition occurs when the host user H participates in the instant message conversation with the guest user G having a junior relationship. In this case, the emoticon server 10 may extract at least one emoticon corresponding to the first expression material E1.

In this case, the event may correspond to a case where the host user H and / or the guest user G inputs a content corresponding to the "Hello" which is a metabolic condition in the messenger chat window.

The host user H has posted in FIG. 59 an example of at least one emoticon corresponding to the first expression material E1.

As in the case of FIG. 61, when the host user H and / or the guest user G inputs a content corresponding to the "hello" which is a metabolic condition into the messenger chat window, the emoticon server 10 generates the first expression material E1. At least one emoticon extracted in correspondence with) may be provided to the host user H for recommendation.

Thereafter, when the host user H selects at least one emoticon, as shown in FIG. 62, the selected emoticon may be input to the messenger chat window corresponding to the host user H.

As shown in FIG. 58, assume that the image material (second expression material E2) including the polite greeting action is matched with the relation condition (customer) and the metabolic condition (hello) among the expression conditions.

In this case, the emoticon server 10 analyzes a messenger chat window in which the host user H and the guest user G participate, and information about the host user H and the guest user G and the relationship (customer) and the dialogue condition. ('Hello') information can be determined.

In addition, the emoticon server 10 may confirm / determine that the relation condition and the metabolic condition described above match the second expression material E2.

In summary, the host user (H) and / or the guest user (G) are the metabolic conditions during the conversation between the host user (H) and the guest user (G) with whom the relationship is a customer. When inputting a content corresponding to "hello" into the messenger chat window, the emoticon server 10 may recommend at least one emoticon corresponding to the second expression material E2 to the host user H.

The host user H has posted in FIG. 60 an example of at least one emoticon corresponding to the second expression material E2.

As in the case of FIG. 63, when the host user H and / or the guest user G inputs a content corresponding to the "Hello" which is the metabolic condition into the messenger chat window, the emoticon server 10 generates the second expression material E2. At least one emoticon extracted in correspondence with) may be provided to the host user H for recommendation.

Thereafter, when the host user H selects at least one emoticon, as shown in FIG. 64, the selected emoticon may be input to the messenger chat window corresponding to the host user H.

Although the relationship condition and the metabolic condition have been described with respect to the expression condition, at least one of the detection condition, the emotion condition, the action condition, and the situation condition may be matched with the first expression material E1.

For example, as shown in Fig. 65, the image material (E) including the bowing action is selected as the relation condition (lover), metabolic condition (good morning), time condition (06: 00-10: 00), and position among the expression conditions. Suppose you match a condition (South Korea), a weather condition (sunny), and an emotional condition (joy).

In this case, when a messenger chat window is opened in which the host user H and the guest user G participate, the emoticon server 10 has a relationship (host) with the host user H and the guest user G participating in the messenger chat window. Can be identified.

The emoticon server 10 may determine that the metabolic condition is 'good' when the relationship condition is a lover, and may determine that the emotional condition is set to 'joy' when the relationship condition is a lover.

In addition, the emoticon server 10 may determine a weather condition, a location condition, and a time condition corresponding to the terminal 30 of the host user H from the Internet network or the terminal 30 of the host user H.

65, the location corresponding to the terminal 30 of the host user H is Korea, the current weather is sunny, the time is 06: 00-10: 00, and the guest user G The host user H and / or the guest user during the process in which the host user H engages in a messenger chat window with the guest user G having a relationship lover while the emotional state of the host user H is joyful. In the case where (G) inputs a content corresponding to 'Hello', which is a metabolic condition, into the messenger chat window, the emoticon server 10 may extract at least one emoticon corresponding to the expression material E as shown in FIG. 66. .

In addition, the emoticon server 10 may provide the extracted emoticon to the host user H to recommend the emoticon.

As such, when the desired expression condition is matched with the expression material, satisfaction with recommendation of the emoticon can be improved.

Hereinafter, the learning step (S740) will be described.

Referring to FIG. 67, in the learning step S740, the emoticon server 10 may determine a user corresponding to the initiated messenger chat window, that is, a host user H and a guest user G (S721).

Thereafter, the emoticon server 10 may analyze the conversation between the host user H and the guest user G (S722).

Thereafter, the emoticon server 10 may extract a learning item from the conversation between the host user H and the guest user G (S723).

Here, the learning material includes the conversation contents between the host user (H) and the guest user (G), the conversation environment between the host user (H) and the guest user (G), the amount of conversation between the host user (H) and the guest user (G), and It may include at least one of the number of conversations.

Alternatively, the learning material may include a history of use of emoticons of the host user H and the guest user G.

The emoticon server 10 analyzes the extracted learning material and based on the analyzed information, information (relational conditions) and / or the host user H and the guest about the relationship between the host user H and the guest user G. Information (emotion condition) regarding the emotion for the user G may be obtained (S724).

Thereafter, information on the acquired relationship and / or information on emotion may be applied (S725).

In this way, in the learning step (S720) by analyzing the conversation between the host user (H) and the guest user (G) can be confirmed by analyzing the change in the emotional state of the guest user (G) of the host user (H).

In this case, the application method of the emoticon may vary according to the changing emotional state of the host user H.

For example, as shown in Fig. 68, the third image material E3 including the bowing action is selected as the relation condition (lover), metabolic condition (good morning), and time condition (06: 00-10: 00). , Location conditions (South Korea), weather conditions (sunny) and emotion conditions (joy).

In addition, as shown in Fig. 69, the fourth image material E4 including the action of posing the devil poses among the expression conditions, the relation conditions (lovers), the metabolic conditions (hi), the time conditions (06: 00-10: 00), It can be matched with location conditions (South Korea), weather conditions (sunny) and emotion conditions (anger).

Comparing the expression conditions of FIG. 68 and FIG. 69, it can be seen that the emotional condition is changed from 'joy' to 'anger'. In addition, it may be confirmed that the expression material matching the expression condition is changed from the third image material E3 to the fourth image material E4 by changing the emotional condition.

Assume that the emotional state (emotion condition) for the guest user G, a lover of the host user H, is set to 'joy'.

Under these conditions, as shown in FIG. 70, the host user H may exchange a conversation with the guest user G, which is a lover.

The emoticon server 10 may analyze the conversation of FIG. 70, and may determine that the emotional state of the guest user G, a lover of the host user H, is “anger” based on the analyzed information.

As such, the emotional state of the host user H with respect to the guest user G may be changed according to the information learned in the learning step S720.

In the state where the emotional state of the guest user G, a lover of the host user H, is changed from 'joy' to 'anger', as in the case of FIG. When inputting a content corresponding to 'to the messenger chat window, at least one emoticon (see FIG. 71) corresponding to the fourth image material E4 as described with reference to FIG. 69 may be recommended to the host user H.

On the other hand, in the learning step (S720), based on the result of analyzing the conversation between the host user (H) and the guest user (G) to determine the information (relationship condition) of the relationship between the host user (H) and the guest user (G) It is possible to update the relationship condition by applying the determined information.

Factors affecting the relationship between the host user H and the guest user G include, as shown in FIG. 72, the conversation volume, the number of conversations, the contents of the conversation, and the chat environment of the host user H and the guest user G. It may be at least one of.

For example, as the amount of conversations and the number of conversations increases, the intimacy between the host user H and the guest user G may increase.

In addition, as a result of analyzing the conversation, when the comfortable expression is mainly used in the conversation, the intimacy between the host user H and the guest user G may increase.

In addition, the host user (H) and the guest user (G) when the time of the conversation occurs in the evening time, dawn time, or when the host user (H) and the guest user (G) when the conversation occurs on the holiday of the host user ( Intimacy between H) and guest user G may increase.

The relationship condition between the host user H and the guest user G can be set based on the information on the intimacy of the host user H and the guest user G determined in this way.

For example, suppose that a conversation between User 1, which is set as a friend, and a host user H is mainly made of a respectful message as shown in FIG.

In this case, the emoticon server 10 determines that the relationship between the user 1 and the host user (H) is a workmate, not a friend, and as shown in FIG. You can change it.

As such, the technical configuration of the present invention described above can be understood by those skilled in the art that the present invention can be implemented in other specific forms without changing the technical spirit or essential features of the present invention.

Therefore, the exemplary embodiments described above are to be understood as illustrative and not restrictive in all respects, and the scope of the present invention is indicated by the appended claims rather than the foregoing detailed description, and the meaning and scope of the claims are as follows. And all changes or modifications derived from the equivalent concept should be interpreted as being included in the scope of the present invention.

Claims (18)

Setting a character; A personality setting step of setting a personality of the character; And Displaying an emoticon including the character in which the personality is set; Emoticon information processing method comprising a. The method of claim 1, Wherein the character's personality comprises a reaction style of the character. The method of claim 1, The character having at least one personality. The method of claim 1, The personality setting step includes setting a standard personality of the character. The method of claim 4, wherein The basic personality corresponds to one of the characters one by one, or one-to-one correspondence with the opponent registered by the user. The method of claim 1, The personality setting step further comprises the step of setting a personal personality (Private Personality) of the character. The method of claim 6, The step of setting a personal personality includes a teaching step and a learning step. The method of claim 7, wherein The teaching step Matching an expression item including an action corresponding to the character with an expression condition. The method of claim 8, And the presentation material comprises at least one of a text material and an image material. The method of claim 8, The action includes at least one of dialogue, facial expression, behavior, and pose. The method of claim 8, The expression condition may include at least one of a sensing condition, a relation condition, an emotion condition, an action condition, a word condition, and a situation condition. How to. The method of claim 11, The sensing condition may include at least one of information about a geographical environment, information about a weather environment, and information about a temporal environment or commercial information such as shopping. The method of claim 11, And the relationship condition includes information about a relationship between a user and a partner registered by the user. The method of claim 11, The emotional condition includes information about the emotional state of the user. The method of claim 7, wherein The learning step Extracting a learning item by analyzing a conversation between the user and the other party; And Acquiring at least one of information about a relationship between the user and the opponent and information about the emotion of the user with respect to the opponent based on the extracted learning material; How to include. The method of claim 15, The learning material And at least one of contents of a conversation between the user and the partner, a conversation environment between the user and the partner, an amount of conversation between the user and the partner, and a number of conversations. The method of claim 1, Recommending at least one emoticon or further including an automatic selection step. Setting a character; Displaying a teaching template including at least one expression item corresponding to the set character on a screen; And Matching at least one expression material selected by a user to an expression condition to set a personality of the character; Emoticon information processing method comprising a.

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