KR20230113991A - Method for setting friend group and the system thereof - Google Patents

Abstract

The present invention relates to a friend group setting method and system for classifying friend groups according to a conversation between an artificial intelligence character and a creator, comprising the steps of providing a conversation service between a conversation partner and a conversation partner, and an artificial intelligence character or the artificial intelligence character in the conversation service. The method includes determining whether a creator who created an intelligent character participates or not, and classifying friend groups for the conversation service according to the determination result.

Description

Friend group setting method and system {METHOD FOR SETTING FRIEND GROUP AND THE SYSTEM THEREOF}

The present invention relates to a method and system for setting a friend group, and more particularly, to a technique for classifying a friend group according to a conversation between an artificial intelligence character and a creator.

Artificial intelligence is revolutionizing business, organisations, lifestyles and communication methods. Various informatization projects are being carried out to provide optimal services to the fast-changing lifestyle of modern culture and the diverse and constantly changing requirements of customers. Among them, big data and deep learning-related technologies are rapidly changing. Artificial intelligence technology that has been developed and applied to real life in certain fields has been implemented, and it is also applied to intelligent personal services that analyze specific data and provide and utilize information in various fields specialized to individuals. Currently, human interaction with artificial intelligence is limited, but it takes place in everyday natural language, that is, in the form of conversation. Although it is still at a rudimentary stage, control of various home appliances connected to the network is being carried out in a voice-based conversation method, and search for specific information, inquiry, and response are becoming possible through a knowledge base to which deep learning is applied.

Korean Patent Publication No. 10-2021-0156741 (published on December 27, 2021)

An object of the present invention is to subdivide and classify friend groups according to conversations between artificial intelligence characters or creators.

However, the technical problems to be solved by the present invention are not limited to the above problems, and can be variously expanded without departing from the technical spirit and scope of the present invention.

A friend group setting method according to an embodiment of the present invention includes providing a conversation service between a conversation partner and a conversation partner, determining whether an artificial intelligence character or a creator who created the artificial intelligence character participates in the conversation service, and the determination result. classifying a friend group for the conversation service according to

In addition, the friend group setting method according to an embodiment of the present invention may further include changing a UI of an artificial intelligence character for each group according to the friend group.

A friend group setting system according to an embodiment of the present invention includes a conversation providing unit that provides a conversation service between a conversation partner and a conversation partner, and a determination unit that determines whether an AI character or a creator who created the AI character participates in the conversation service. and a group classification unit for classifying friend groups for the conversation service according to the determination result.

In addition, the friend group setting system according to an embodiment of the present invention may further include a control unit for changing the UI of an artificial intelligence character for each group according to the friend group.

According to an embodiment of the present invention, by subdividing and classifying friend groups according to conversations between artificial intelligence characters or creators, it is possible to check the intimacy of the conversation partner based on the user (or the first creator), and the conversation learned according to the intimacy. The engine can provide conversation services with different degrees of depth.

According to an embodiment of the present invention, by classifying and grouping conversation services, it is possible to provide a variety of different supplementary services to each group.

However, the effects of the present invention are not limited to the above effects, and can be variously extended without departing from the technical spirit and scope of the present invention.

1 illustrates an exemplary diagram for explaining a network environment according to an embodiment of the present invention.
FIG. 2 is an exemplary view for explaining internal configurations of the electronic device and server shown in FIG. 1 .
3 is a flowchart illustrating an operation of a friend group setting method according to an embodiment of the present invention.
4 is a diagram for explaining a group of friends classified according to an embodiment of the present invention.
5 illustrates the configuration of a friend group setting system according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various forms different from each other, only these embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention pertains. It is provided to completely inform the person who has the scope of the invention, and the present invention is only defined by the scope of the claims.

Terms used in this specification are for describing the embodiments and are not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" means that a stated component, step, operation, and/or element is present in the presence of one or more other components, steps, operations, and/or elements. or do not rule out additions.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used in a meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in more detail. The same reference numerals are used for the same components in the drawings, and redundant descriptions of the same components are omitted.

The gist of the friend group setting method and system according to an embodiment of the present invention is to classify a friend group according to a conversation between an artificial intelligence character and a creator.

The online chatting server of the present invention provides a conversation service between the creation of an artificial intelligence character in the form of a mobile application, the created artificial intelligence character and followers following the artificial intelligence character, and a predetermined learning degree among free conversations. The level of the artificial intelligence character can be evaluated based on the amount of learning according to whether or not it is satisfied. Accordingly, creators (or users) create their own artificial intelligence characters through applications installed on their terminals, and use the created artificial intelligence characters to freely communicate with their followers, or through pre-learned conversations through the automatic response function. It is an artificial intelligence character based on the engine and can have automatic conversations with followers. Here, the follower may be an artificial intelligence character or creator following an artificial intelligence character.

A creator (or user) may perform a conversation service through at least one terminal (or electronic device) of a smartphone, a desktop PC, a mobile terminal, a PDA, a laptop computer, and a tablet PC. At this time, the present invention can receive information according to a user's selection input through an application in a terminal possessed by the user, and the terminal can perform operations of a predetermined set of functions through a screen including a touch-sensing area. It may include a display in the form of a touch screen capable of performing, and may be a device including one or more physical buttons or virtual buttons, so the type and form are not limited thereto.

Hereinafter, the present invention will be described in detail with reference to FIGS. 1 to 5 .

FIG. 1 shows an exemplary diagram for explaining a network environment according to an embodiment of the present invention, and the network environment of FIG. 1 includes a plurality of electronic devices 110, 120, 130, and 140, and a plurality of servers. An example including (150, 160) and network 170 is shown. 1 is an example for explanation of the invention, and the number of electronic devices or servers is not limited as shown in FIG. 1 .

The plurality of electronic devices 110, 120, 130, and 140 may be mobile terminals implemented as computer devices. Examples of the plurality of electronic devices 110, 120, 130, and 140 include smart phones, mobile phones, tablet PCs, navigation devices, computers, laptop computers, digital broadcasting terminals, personal digital assistants (PDAs), and PMPs ( Portable Multimedia Player), user wearable devices (wearable devices), and the like. For example, the first electronic device 110 may communicate with the other electronic devices 120, 130, and 140 and/or the servers 150 and 160 through the network 170 using a wireless or wired communication method.

The communication method is not limited, and short-distance wireless communication between devices as well as a communication method utilizing a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, and a broadcasting network) that the network 170 may include may also be included. For example, the network 170 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , one or more arbitrary networks such as the Internet. In addition, the network 170 may include any one or more of network topologies including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. Not limited.

Each of the servers 150 and 160 communicates with the plurality of electronic devices 110, 120, 130, and 140 through the network 170 to provide commands, codes, files, contents, services, and the like, or a computer device or a plurality of computers. It can be implemented in devices.

For example, the server 160 may provide a file for installing an application to the first electronic device 110 accessed through the network 170 . In this case, the first electronic device 110 may install an application using a file provided from the server 160 . In addition, the server 150 is connected to the server 150 under the control of an operating system (OS) included in the first electronic device 110 or at least one program (for example, a browser or the installed application), and the server 150 provides services or content may be provided. For example, when the first electronic device 110 transmits a service request message to the server 150 through the network 170 under the control of an application, the server 150 transmits a code corresponding to the service request message to the first It can be transmitted to the electronic device 110, and the first electronic device 110 can provide content to the user by configuring and displaying a screen according to a code under the control of an application.

FIG. 2 shows an exemplary view for explaining the internal configuration of the electronic device and server shown in FIG. 1, and in FIG. 2, a first electronic device 110 as an example of one electronic device that is a terminal owned by a user. ), and the internal configuration of the server 150 will be described as an example for one server communicating with the user's terminal. Accordingly, hereinafter, the first electronic device 110 means a user's terminal, and the server 150 means a server communicating with the user's terminal. Other electronic devices 120 , 130 , and 140 or the server 160 may also have the same or similar internal configuration.

The first electronic device 110 and the server 150 may include memories 211 and 221, processors 212 and 222, communication modules 213 and 223, and input/output interfaces 214 and 224. The memories 211 and 221 are computer-readable recording media and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. In addition, the memories 211 and 221 may store an operating system or at least one program code (for example, a code for an application installed and driven in the first electronic device 110). These software components may be loaded from a computer readable recording medium separate from the memories 211 and 221 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, software components may be loaded into the memories 211 and 221 through the communication modules 213 and 223 rather than computer-readable recording media. For example, at least one program is a program installed by files provided by developers or a file distribution system (eg, the above-described server 160) that distributes installation files of applications through the network 170 (eg, the above-described server 160). It may be loaded into the memories 211 and 221 based on the above-described application).

The processors 212 and 222 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processors 212 and 222 by memories 211 and 221 or communication modules 213 and 223 . For example, the processors 212 and 222 may be configured to execute instructions received according to program codes stored in a recording device such as the memories 211 and 221 .

The communication modules 213 and 223 may provide a function for the first electronic device 110 and the server 150 to communicate with each other through the network 170, and other electronic devices (for example, the second electronic device 120). )) or a function for communicating with another server (for example, the server 160). For example, a request generated by the processor 212 of the first electronic device 110 according to a program code stored in a recording device such as the memory 211 (for example, a search request) is transmitted to the network under the control of the communication module 213. It may be transmitted to the server 150 through 170. Conversely, control signals, commands, contents, files, etc. provided under the control of the processor 222 of the server 150 pass through the communication module 223 and the network 170 to the communication module of the first electronic device 110. It can be received by the first electronic device 110 through 213. For example, control signals or commands of the server 150 received through the communication module 213 may be transmitted to the processor 212 or memory 211, and contents or files may be transferred to the first electronic device 110. Can be stored in a storage medium that can further include.

The input/output interface 214 may be a means for interface with the input/output device 215 . For example, the input device may include a device such as a keyboard or mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input/output interface 214 may be a means for interface with a device in which functions for input and output are integrated into one, such as a touch screen. As a more specific example, the processor 212 of the first electronic device 110 uses data provided by the server 150 or the second electronic device 120 in processing the command of the computer program loaded into the memory 211. The service screen or content configured as above may be displayed on the display through the input/output interface 214 . Similarly, the input/output interface 224 may output information configured using data provided by the server 150 when the processor 222 of the server 150 processes the command of the computer program loaded into the memory 221. there is.

Also, in other embodiments, the first electronic device 110 and the server 150 may include more components than those shown in FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the first electronic device 110 is implemented to include at least some of the above-described input/output devices 215 or other devices such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. It may contain more components. As a more specific example, when the first electronic device 110 is a smartphone, a direction sensor, an acceleration sensor or a gyro sensor, a camera, various physical buttons, buttons using a touch panel, an input/output port, It can be seen that various components such as a vibrator for vibration may be implemented to be further included in the first electronic device 110 .

Hereinafter, a method for setting a friend group according to an embodiment of the present invention and a specific embodiment of the system will be described.

3 is an operation flowchart of a friend group setting method according to an embodiment of the present invention, and the method of FIG. 3 is an operation flowchart in a friend group setting system or server according to the embodiment of the present invention shown in FIG. it is shown In addition, FIG. 4 is a diagram for explaining a group of friends classified according to an embodiment of the present invention.

Referring to FIG. 3 , in step S310, a conversation service between a conversation partner and a conversation partner is provided.

The friend group setting method according to an embodiment of the present invention may provide a function of creating an artificial intelligence character to a conversationalist (user or creator) before step S310. For example, in the present invention, a face image, tone of voice, personality, conversation field of interest (or conversation content of interest), name, gender, character introduction content, etc. are set by a conversationalist who is a creator, so that a preset basic conversation engine is learned and artificial You can create intelligent characters. At this time, the artificial intelligence character created in the present invention can exchange conversations with followers (or conversation partners) who follow the artificial intelligence character with the tone of voice and the content of the conversation of interest set by the creator, the conversationalist.

In the method of the present invention, when the artificial intelligence character created in this way communicates with followers using a conversation engine, the artificial intelligence character communicates with followers by using the answer method or content desired by the creator. You can train the conversation engine of an artificial intelligence character to do so. That is, the method of the present invention gradually develops the conversation engine of the artificial intelligence character that has already been created according to the creator's request, and can be repeatedly performed until the conversation engine of the artificial intelligence character is completed.

In addition, at least one hash tag set by the creator may be given to the created artificial intelligence character so that other users can search for the artificial intelligence character created by the creator through keywords such as fields of interest in conversation. For example, if the artificial intelligence character's hashtags are set to "#golf" and "#sports" by the creator, the artificial intelligence character can be searched for golf and sports, and conversations about golf and sports can be performed. It can be classified as an artificial intelligence character with

As described above, when an artificial intelligence character is created, in step S310, a conversation service between a conversation partner and a conversation partner is provided. In this case, the conversationalist may be a human creator or an artificial intelligence character, and the conversation partner may also be a human creator or an artificial intelligence character.

When the chatter who created the artificial intelligence character creates a follower who follows his/her AI character, step S310 creates an individual chat room between the chatter and one of the followers, providing a conversation service in which conversation messages can be exchanged. can do. In this case, the conversation partner who is a follower may be an artificial intelligence character or a creator who creates an artificial intelligence character. For example, when the interlocutor is an artificial intelligence character and the conversation partner is also an artificial intelligence character, that is, when the artificial intelligence characters exchange conversations or when at least one artificial intelligence character among the interlocutor or the conversation partner participates, an automatic response function is performed. When it is turned on, conversations can be exchanged based on the pre-learned conversation engine without the intervention of the creator. As another example, when the chatter is a creator and the chatter is also a creator, that is, when people exchange conversations, the automatic response function is turned off so that the creator can participate and freely exchange conversations.

As described above, step S310 may provide a conversation service in which the automatic response function is turned on/off depending on whether the artificial intelligence character and creator participate in the chat room, but even if the creator does not participate in the chat room. The automatic response function of a specific chat room can be kept on or off.

In step S320, it is determined whether an artificial intelligence character or a creator who created an artificial intelligence character participates in a conversation service. More specifically, in step S320, it is possible to first determine whether the conversation message input in the chat room provided in step S310 is input by an artificial intelligence character or a creator.

After that, in step S330, the friend group for the conversation service is classified according to the determination result. Step S330 may classify friend groups of an automatic conversation stage, a human conversation stage, and a close friend stage according to the conversation participation of the artificial intelligence character or creator according to the determination result of step S320.

Referring to FIG. 4 , as an example, step S330 can be classified as an automatic conversation step when a conversation partner who is an artificial intelligence character and a conversation partner who is a creator exchange a conversation in a chat room. More specifically, when the chatter does not have a conversation as a creator, that is, when the chatter is an artificial intelligence character and the chatter is an artificial intelligence character or creator, step S330 may classify the corresponding chat room as an automatic conversation step. For example, when a conversationalist does not participate in a conversation and an artificial intelligence character of the conversationalist exchanges a conversation with a conversational partner, step S330 is classified as an automatic conversational step, and the conversationalist list including at least one chat room corresponds to A chat room may be marked as 'in an automated conversation'.

Referring to FIG. 4 , as another example, step S330 can be classified as a human conversation step when a conversation between a conversation partner who is a creator and an artificial intelligence character or a conversation partner who is a creator is exchanging a conversation in a chat room. More specifically, when the conversationalist is having a conversation as a creator, that is, when the conversationalist is a human creator and the conversational partner is an artificial intelligence character or creator, step S330 can classify the corresponding chat room into a human conversation step. For example, in a chat room that is 'automatically chatting', if the interlocutor directly participates in the conversation as a person rather than an AI character, step S330 classifies it as a human conversation step, and the chat room is listed in the chat room as 'automatic conversation'. It can be upgraded to 'in conversation with a person' and listed at the top.

Referring to FIG. 4 , as another example, in step S330 , a chat room with a conversation partner selected as a close friend by a conversationalist may be classified as a close friend step based on a human conversation step. More specifically, in the human conversation step, a creator who is a conversation partner may select (or check) a conversation partner whom the creator considers to be more intimate among at least one conversation partner. can be classified into stages. For example, if a conversation partner selects a preferred conversation partner from among chat rooms 'in conversation with people', step S330 classifies it as a close friend stage, and the corresponding chat room is listed in the conversation list from 'in conversation with a person' to 'conversation with close friends'. It can be upgraded to 'medium' and listed at the top.

That is, the method for setting a friend group according to an embodiment of the present invention separates chatting partners who have had a conversation with one or more times as a person, selects a chatting party with high intimacy among them and classifies them into a higher level, thereby having at least one follower. Different supplementary services may be provided for each group through group classification of (or conversation counterparts). Here, the additional service includes changing the follower UI for each group, changing the chat room UI for each group, setting a push for new conversation messages for each group, and prioritizing new conversation messages for each group. It may be a service such as assigning different weights to the conversation data exchanged for each group and learning the conversation engine of the artificial intelligence character according to the weight. However, the additional service is not limited to the above, and any service provided differently for each group is irrelevant.

Further, referring to FIG. 1 again, the method for setting a friend group according to an embodiment of the present invention may further include a step S340 of changing the UI of an artificial intelligence character for each group according to the friend group. For example, in step S340, various UIs such as color and shape design of a chat room, character of an artificial intelligence character, and a decoration function may be changed for each friend group.

5 shows the configuration of a friend group setting system according to an embodiment of the present invention, and shows a conceptual configuration of a server or system that performs a friend group setting method.

Referring to FIG. 5 , the friend group setting system 500 according to an embodiment of the present invention includes a conversation providing unit 510, a determining unit 520, a group classifying unit 530, a control unit 540, and a DB 550. includes

A DB (DataBase; database, 550) is a means for storing information related to the present invention, and can store and manage information about artificial intelligence characters, conversation engine information of artificial intelligence characters, and follower information by group. Of course, the DB 550 is not limited to the above data, and can store all data of the present invention.

The conversation provider 510 provides a conversation service between a conversation partner and a conversation counterpart.

The friend group setting system 500 according to an embodiment of the present invention may provide a function of creating an artificial intelligence character to a conversationalist (user or creator) at the beginning of the system. For example, in the present invention, a face image, tone of voice, personality, conversation field of interest (or conversation content of interest), name, gender, character introduction content, etc. are set by a conversationalist who is a creator, so that a preset basic conversation engine is learned and artificial You can create intelligent characters. At this time, the artificial intelligence character created in the present invention can exchange conversations with followers (or conversation partners) who follow the artificial intelligence character with the tone of voice and the content of the conversation of interest set by the creator, the conversationalist.

In the system 500 of the present invention, when the artificial intelligence character created in this way communicates with followers using a conversation engine, the answer method or answer content that the artificial intelligence character communicates with the followers is the answer method or answer desired by the creator. The conversation engine of the artificial intelligence character can be trained to communicate with the content. That is, the system 500 of the present invention gradually develops the conversation engine of the artificial intelligence character that has already been created according to the request of the creator, and can be repeatedly performed until the conversation engine of the artificial intelligence character is completed.

In addition, at least one hash tag set by the creator may be given to the created artificial intelligence character so that other users can search for the artificial intelligence character created by the creator through keywords such as fields of interest in conversation. For example, if the artificial intelligence character's hashtags are set to "#golf" and "#sports" by the creator, the artificial intelligence character can be searched for golf and sports, and conversations about golf and sports can be performed. It can be classified as an artificial intelligence character with

As described above, when an artificial intelligence character is created, the conversation providing unit 510 provides a conversation service between a conversation partner and a conversation partner. In this case, the conversationalist may be a human creator or an artificial intelligence character, and the conversation partner may also be a human creator or an artificial intelligence character.

When the chatter who created the artificial intelligence character creates a follower who follows his or her artificial intelligence character, the conversation providing unit 510 creates an individual chat room between the chatter and the chatter, one of the followers, to send and receive conversation messages. A conversation service can be provided. In this case, the conversation partner who is a follower may be an artificial intelligence character or a creator who creates an artificial intelligence character. For example, when the interlocutor is an artificial intelligence character and the conversation partner is also an artificial intelligence character, that is, when the artificial intelligence characters exchange conversations or when at least one artificial intelligence character among the interlocutor or the conversation partner participates, an automatic response function is performed. When it is turned on, conversations can be exchanged based on the pre-learned conversation engine without the intervention of the creator. As another example, when the chatter is a creator and the chatter is also a creator, that is, when people exchange conversations, the automatic response function is turned off so that the creator can participate and freely exchange conversations.

As described above, the conversation providing unit 510 may provide a conversation service with an automatic response function turned ON/OFF depending on whether artificial intelligence characters and creators participate in the chat room, but the creator may enter the chat room. Even if you do not participate in, you can keep the automatic response function of a specific chat room in an on (ON) or off (OFF) state.

The determination unit 520 determines whether the artificial intelligence character or the creator who created the artificial intelligence character participates in the conversation service. In more detail, the determination unit 520 may first determine whether a conversation message input in a chat room provided by the conversation providing unit 510 is input by an artificial intelligence character or a creator.

Afterwards, the group classification unit 530 classifies the friend group for the conversation service according to the determination result. The group classification unit 530 may classify friend groups in the automatic conversation stage, the human conversation stage, and the close friend stage according to the conversation participation of the artificial intelligence character or creator according to the determination result of the determination unit 520 .

For example, the group classification unit 530 may classify a chat room as an automatic conversation step when a conversation partner who is an artificial intelligence character and a conversation partner who is a creator exchange a conversation in a chat room. More specifically, when the chatter does not have a conversation as a creator, that is, when the chatter is an artificial intelligence character and the chatter is an artificial intelligence character or creator, the group classification unit 530 may classify the chat room as an automatic conversation step. there is. For example, when a conversationalist does not participate in a conversation and an artificial intelligence character of the conversationalist exchanges a conversation with a conversational partner, the group classification unit 530 classifies it as an automatic conversational step, and includes at least one chatting room. In the conversation list, the corresponding chat room may be displayed as 'in automatic conversation'.

As another example, the group classification unit 530 may classify a conversation between a conversation partner who is a creator and an artificial intelligence character or a conversation partner who is a creator in a chat room as a human conversation step. More specifically, when the conversationalist is having a conversation as a creator, that is, when the conversationalist is a human creator and the conversational partner is an artificial intelligence character or creator, the group classification unit 530 may classify the corresponding chat room as a human conversation step. For example, in a chat room in which 'automatic conversation is in progress', when a person directly participates in a conversation as a person other than an AI character, the group classification unit 530 classifies the chat room as a human conversation step, and the chat room is listed as 'automatic conversation' in the conversation list. It can be upgraded from 'in conversation' to 'in conversation with a person' and be listed at the top.

As another example, the group classification unit 530 may classify a chat room with a conversation partner selected as a close friend by a conversationalist into a close friend stage based on the human conversation stage. More specifically, in the human conversation step, a creator who is a conversation partner may select (or check) a conversation partner that is considered to be more intimate among at least one conversation partner, and in the case of a conversation partner selected by the conversation user, a group classification unit 530 ) can be classified as close friends. For example, when a conversation partner selects a preferred conversation partner from a chat room 'in human conversation', the group classification unit 530 classifies it as a close friend level, and the chat room is displayed in the conversation list from 'in conversation with human' to '' It can be upgraded to 'In conversation with a close friend' and listed at the top.

That is, the friend group setting system 500 according to an embodiment of the present invention separates chatting parties with whom a person has had a conversation more than once, selects chatting parties with high intimacy among them and classifies them into a higher level, thereby at least one Different supplementary services may be provided for each group through group classification of more than one follower (or conversation partner). Here, the additional service includes changing the follower UI for each group, changing the chat room UI for each group, setting a push for new conversation messages for each group, and prioritizing new conversation messages for each group. It may be a service such as assigning different weights to the conversation data exchanged for each group and learning the conversation engine of the artificial intelligence character according to the weight. However, the additional service is not limited to the above, and any service provided differently for each group is irrelevant.

The controller 540 may change the UI of the artificial intelligence character for each group according to the friend group. For example, the controller 540 may change various UIs such as a color and shape design of a chat room, a character of an artificial intelligence character, and a decoration function for each friend group.

Although the description is omitted in the system of FIG. 5, each component constituting FIG. 5 may include all of the contents described in FIGS. 1 to 4, which is obvious to those skilled in the art.

The system or apparatus described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA) , a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

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 on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands 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. - includes hardware devices 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 high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

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

Claims (17)

providing a conversation service between a conversation partner and a conversation partner;
Determining whether an artificial intelligence character or a creator who created the artificial intelligence character participates in the conversation service; and
classifying a friend group for the conversation service according to a determination result;
How to set up a friend group that includes. According to claim 1,
The interlocutor or the interlocutor
A method of setting a friend group, representing the creator who is a person or the artificial intelligence character. According to claim 1,
The step of providing the conversation service is
A method for setting up a friend group, wherein a conversation service is provided in an individual chat room between artificial intelligence characters of the conversation partner who follow the conversation partner's artificial intelligence character. According to claim 3,
The judging step is
Friend group setting method of determining whether the chatter and the chatter inputting a chat message in the chat room are creators or artificial intelligence characters. According to claim 4,
The step of classifying the friend group is
A method for setting friend groups, characterized in that classifying the friend groups of an automatic conversation step, a human conversation step, and a close friend step according to the participation of an artificial intelligence character or creator in a conversation. According to claim 5,
The step of classifying the friend group is
Wherein the chat room is classified as the automatic conversation step when the conversation partner, who is an artificial intelligence character, and the conversation partner, who is a creator, exchange conversations in the chat room. According to claim 5,
The step of classifying the friend group is
In the chat room, when the conversation partner who is a creator and the conversation partner who is an artificial intelligence character or the conversation partner who is a creator and the conversation partner who is a creator exchange conversations, classifying the chat room into the human conversation step. According to claim 7,
The step of classifying the friend group is
Based on the human conversation step, classifying the chat room with the conversation partner selected as a close friend by the chatter into the close friend step. According to claim 1,
Changing the UI of the artificial intelligence character for each group according to the friend group
How to set up a friend group that further includes. a conversation providing unit that provides a conversation service between a conversation partner and a conversation partner;
a determination unit determining whether an artificial intelligence character or a creator who created the artificial intelligence character participates in the conversation service; and
A group classification unit for classifying friend groups for the conversation service according to the determination result.
A friend group setting system that includes a. According to claim 10,
The conversation provider
A friend group setting system for providing a conversation service in an individual chat room between artificial intelligence characters of the conversation partner who follow the conversation partner's artificial intelligence character. According to claim 10,
The judge
Friend group setting system for determining whether the chatter and the chatter inputting a chat message in the chat room are creators or artificial intelligence characters. According to claim 12,
The group classification unit
A friend group setting system, characterized by classifying friend group stages of an automatic conversation stage, a human conversation stage, and a close friend stage according to the conversation participation of artificial intelligence characters or creators. According to claim 13,
The group classification unit
Friend group setting system for classifying the chat room into the automatic conversation step when the conversation partner, who is an artificial intelligence character, and the conversation partner, who is a creator, exchange conversations in the chat room. According to claim 13,
The group classification unit
In the chat room, when the chat room is a creator and the chat partner who is an artificial intelligence character or the chat room is a creator and the chat partner is a creator, classifying the chat room into the human conversation step. According to claim 15,
The group classification unit
Based on the human conversation step, the chat room with the conversation partner selected as a close friend by the chatter is classified into the close friend step. According to claim 10,
A control unit that changes the AI character UI for each group according to the friend group.
Friend group setting system further comprising a.