Method and device for generating digital content on basis of personality type

Abstract

The present invention relates to a method for generating digital content on the basis of personality type. The method for generating digital content based on personality type comprises the steps of: collecting movement line data of a user visiting an exhibition hall; determining at least one work of interest of the user on the basis of the collected movement line data; acquiring interaction information about the determined at least one work of interest; determining personality type information of the user on the basis of the acquired interaction information; generating, on the basis of the determined personality type information of the user, digital content associated with the user; and displaying the generated digital content on a display panel provided in the exhibition hall.

Description

Method and device for creating digital content based on personality types

[0001] The present invention relates to a method and device for generating digital content based on personality types, and more particularly, to a method and device for generating and displaying digital content related to a user by using data of a user who visited an exhibition hall.

[0002] Interest in cultural life has steadily increased in recent years, leading to a surge in visitors to various exhibitions. Typically, exhibitions feature artists' works on display beforehand, with visitors viewing the exhibited works on their own. This approach makes it difficult for visitors to actively engage with the exhibition beyond simply viewing the artwork, creating a more engaging artistic experience.

[0003] The present invention provides a method for creating digital content based on personality types to solve the above-described problems, a computer program stored in a computer-readable medium, a computer-readable medium storing the computer program, and a device (system).

[0004] The present invention can be implemented in various ways, including a method, a device (system), a computer program stored in a computer-readable medium, or a computer-readable medium having a computer program stored therein.

[0005] According to one embodiment of the present invention, a method for generating digital content based on personality type, performed by at least one processor, includes the steps of collecting movement data of a user visiting an exhibition hall, determining at least one work of interest of the user based on the collected movement data, obtaining interaction information about the determined at least one work of interest, determining personality type information of the user based on the obtained interaction information, generating digital content associated with the user based on the determined personality type information of the user, and displaying the generated digital content on a display panel installed in the exhibition hall.

[0006] According to one embodiment of the present invention, the step of collecting movement data of a user visiting an exhibition hall includes the step of collecting movement data including the user's movement direction, movement speed, residence time, gaze time, and gaze direction using an image sensor and a beacon sensor installed in the exhibition hall.

[0007] According to one embodiment of the present invention, the step of determining at least one work of interest of the user includes the step of calculating the user's interest score for each of a plurality of works exhibited in an exhibition hall based on the user's gaze time and gaze direction, and the step of determining a work among the plurality of works whose interest score is greater than or equal to a predetermined threshold as at least one work of interest of the user.

[0008] According to one embodiment of the present invention, the step of obtaining interaction information includes the step of transmitting query information related to at least one work of interest of the user to a user terminal associated with the user, and the step of obtaining the interaction information by receiving a response to the query information from the user terminal.

[0009] According to one embodiment of the present invention, the step of generating digital content associated with a user includes the step of providing personality type information to a learned generative artificial neural network model to generate digital content associated with the user.

[0010] According to one embodiment of the present invention, the method further comprises receiving a user's selection of at least one exhibition room among a plurality of exhibition rooms constituting an exhibition hall. The step of displaying digital content generated on a display panel installed in the exhibition hall comprises the step of displaying the digital content on a display panel installed in at least one exhibition room selected by the user.

[0011] A computer program stored in a computer-readable recording medium is provided to execute the above-described method according to one embodiment of the present invention on a computer.

[0012] A computing device according to one embodiment of the present invention includes a communication module, a memory, and at least one processor connected to the memory and configured to execute at least one computer-readable program contained in the memory. The at least one program includes commands for collecting movement data of a user visiting an exhibition hall, determining at least one work of interest of the user based on the collected movement data, obtaining interaction information about the determined at least one work of interest, determining personality type information of the user based on the obtained interaction information, generating digital content associated with the user based on the determined personality type information of the user, and displaying the generated digital content on a display panel installed in the exhibition hall.

[0013] In various embodiments of the present invention, rather than simply displaying prepared works, it is possible to generate and provide personalized works of users in real time, thereby encouraging active participation in the exhibition and providing a new artistic experience to users visiting the exhibition hall.

[0014] In various embodiments of the present invention, by transmitting query information to a user only for works of interest and receiving responses thereto, the user's fatigue in answering questions can be reduced while estimating the user's personality type more precisely.

[0015] In various embodiments of the present invention, by generating and providing digital content reflecting the user's personality type in real time through a generative artificial neural network model, the user's interest in the exhibition hall can be increased, and thus, the user's visit to the exhibition hall can be effectively induced.

[0016] The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by a person having ordinary knowledge in the technical field to which the present invention belongs (referred to as “one of ordinary skill in the art”) from the description of the claims.

[0017] Embodiments of the present invention will be described below with reference to the accompanying drawings, wherein like reference numerals represent similar elements, but are not limited thereto.

[0018] FIG. 1 is a functional block diagram showing the internal configuration of a computing device according to one embodiment of the present invention.

[0019] FIG. 2 is an exemplary drawing showing the structure of an exhibition hall according to one embodiment of the present invention.

[0020] FIG. 3 is a diagram showing an example of query information according to one embodiment of the present invention.

[0021] FIG. 4 is a diagram showing an example of a generative artificial neural network model generating digital content according to one embodiment of the present invention.

[0022] Figure 5 is an exemplary diagram showing an artificial neural network model according to one embodiment of the present invention.

[0023] FIG. 6 is a drawing showing an example of digital content according to one embodiment of the present invention.

[0024] FIG. 7 is a diagram illustrating an example of a user interface for selecting an exhibition hall where digital content is displayed according to one embodiment of the present invention.

[0025] FIG. 8 is a drawing showing an example of a digital content creation method according to one embodiment of the present invention.

[0026] FIG. 9 is a diagram illustrating an example of a digital content creation method based on personality types according to one embodiment of the present invention.

[0027] Figure 10 is a block diagram showing the internal configuration of a computing device according to one embodiment of the present invention.

[0028] Hereinafter, specific details for implementing the present invention will be described in detail with reference to the attached drawings. However, in the following description, specific descriptions of widely known functions or configurations will be omitted if they may unnecessarily obscure the gist of the present invention.

[0029] In the attached drawings, identical or corresponding components are assigned the same reference numerals. Furthermore, in the description of the embodiments below, duplicate descriptions of identical or corresponding components may be omitted. However, even if a description of a component is omitted, it is not intended that such component is not included in any embodiment.

[0030] The advantages and features of the disclosed embodiments, and the methods for achieving them, will become clearer with reference to the embodiments described below, along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure the completeness of the present invention and to fully inform those skilled in the art of the scope of the invention.

[0031] The terms used in this specification will be briefly explained, followed by a detailed description of the disclosed embodiments. The terms used in this specification have been selected from widely used, current terms, taking into account the functions of the present invention. However, these terms may vary depending on the intentions of engineers working in the relevant fields, precedents, the emergence of new technologies, etc. Furthermore, in certain cases, terms may be arbitrarily selected by the applicant, and in such cases, their meanings will be described in detail in the relevant description of the invention. Therefore, the terms used in this invention should be defined based on their meanings and the overall content of the present invention, rather than simply their names.

[0032] In this specification, singular expressions include plural expressions unless the context clearly indicates otherwise. Furthermore, plural expressions include singular expressions unless the context clearly indicates otherwise. When a part of the specification is said to include a component, this does not exclude other components, but rather implies that other components may be included, unless otherwise specifically stated.

[0033] In the present invention, terms such as “comprise”, “comprising”, etc. may indicate the presence of features, steps, operations, elements, and / or components, but such terms do not exclude the addition of one or more other functions, steps, operations, elements, components, and / or combinations thereof.

[0034] In the present invention, when a specific component is referred to as being "coupled," "combined," "connected," or "reacting" with any other component, the specific component may be directly coupled, combined, and / or connected to, or reacting with, the other component, but is not limited thereto. For example, one or more intermediate components may exist between the specific component and the other component. Furthermore, in the present invention, "and / or" may include each of one or more of the listed items, or a combination of at least some of one or more of the listed items.

[0035] In the present invention, terms such as "first" and "second" are used to distinguish specific components from other components, and the components described by these terms are not limited. For example, the "first" component may be an element of the same or similar form as the "second" component.

[0036] In the present invention, a “generative artificial neural network model” may refer to an artificial intelligence model that creates new similar content by utilizing existing content such as text, audio, and images.

[0037] FIG. 1 is a functional block diagram showing the internal configuration of a computing device (100) according to one embodiment of the present invention. According to one embodiment, the computing device (100) is an arbitrary device for processing and / or managing data of users visiting an exhibition hall and providing optimal content to users, and may include a data collection unit (110), an interest work determination unit (120), a user information generation unit (130), a content generation unit (140), and a statistical data generation unit (150). In addition, the computing device (100) may be configured to exchange arbitrary data and / or information with a display panel (160) and / or a database (not shown).

[0038] The data collection unit (110) can collect movement data of users visiting the exhibition hall. Here, movement data refers to data indicating the user's movements within the exhibition hall. For example, the movement data may include, but is not limited to, the user's movement direction, movement speed, dwell time, gaze time, and gaze direction. This movement data may be collected through at least one image sensor and / or beacon sensor installed in the exhibition hall.

[0039] Additionally, the data collection unit (110) can obtain personal information in advance from users planning to visit the exhibition hall. For example, the data collection unit (110) can obtain basic personal information, such as the visitor's age, gender, and hobbies. The personal information obtained in this way can be used to determine preferences for artworks based on individual preferences.

[0040] According to one embodiment, the interest work determination unit (120) may determine a user's interest work based on the user's movement data. Here, the interest work may refer to a work determined to be of high interest to the user. For example, the interest work determination unit (120) may calculate the user's interest score for each of a plurality of works exhibited in an exhibition hall based on the user's gaze time and gaze direction, and may determine a work among the multiple works with an interest score exceeding a predetermined threshold as at least one work of interest for the user. For example, the interest work determination unit (120) may calculate a higher interest score for a specific work the longer the user gazes at the work, or may calculate a higher interest score for a specific work the more the user gazes at a key area of ​​the work. If the interest score is calculated to be high, the interest work determination unit (120) may determine the work as the user's interest work. The works of interest determined in this way may be used to generate digital content for the user.

[0041] After a work of interest is determined, the user information generation unit (130) can determine or generate the user's personality type information. For example, the user information generation unit (130) can transmit query information related to the user's work of interest to a user terminal associated with the user, and receive a response to the query information from the user terminal to obtain interaction information. Here, the query information may include questionnaire information, psychological test information, etc. set to correspond to each work, and the interaction information may indicate a response to the query information. That is, the user information generation unit (130) can determine the user's personality type information based on the interaction information indicating a response to the query information.

[0042] Additionally or alternatively, the user information generation unit (130) may determine a base image corresponding to the user. Here, the base image may refer to an artwork element that constitutes digital content. For example, the user information generation unit (130) may determine the artwork with the highest interest score among multiple artworks exhibited in an exhibition hall based on each artwork's interest score, and may determine an image associated with the artwork as the base image. In this case, if the artwork includes multiple images (artwork elements), one image selected by the user may be determined as the base image.

[0043] In one embodiment, the content generation unit (140) can generate digital content associated with the user based on the determined personality type information of the user. For example, the content generation unit (140) can provide personality type information to a generative artificial neural network model (generative AI) trained to generate images, thereby generating digital content appropriate for the user's personality type.

[0044] Additionally or alternatively, the content generation unit (140) may generate digital content associated with the user based on the user's movement data and the base image. For example, the digital content may be generated in the form of a repetitive arrangement of the base image. According to one embodiment, the content generation unit (140) may generate digital content by changing the arrangement, color, saturation, size, etc. of the base image based on the movement data. For example, the content generation unit (140) may generate digital content associated with the user by arranging the base image to correspond to the user's movement direction within the exhibition hall, changing the color of the base image to a long wavelength color as the user's movement speed increases, changing the size of the base image to a large value as the user's stay time increases, or changing the saturation of the base image to a high value as the total of the calculated interest scores increases.

[0045] Digital content generated in this manner can be transmitted and displayed on a display panel (160) installed in an exhibition hall. If multiple display panels (160) are installed in an exhibition hall, a user can directly select a display panel (160) on which his or her digital content will be displayed. In other words, the computing device (100) can receive a selection of at least one exhibition hall among multiple exhibition halls constituting the exhibition hall from a user (or user terminal) and display the digital content on a display panel (160) installed in at least one exhibition hall selected by the user.

[0046] Additionally, the statistical data generation unit (150) can generate statistical data on the preference for each work of art according to the users' age, gender, and / or personality type by synthesizing the users' interest scores for each work of art displayed in the exhibition hall. That is, the statistical data generation unit (150) can classify each user into categories according to age, gender, and / or personality type, and determine the preference for each work of art in each category. For example, users belonging to the introverted female category in their 20s can be determined to have a high preference for the first work, and users belonging to the extroverted male category in their 30s can be determined to have a high preference for the second work.

[0047] In this way, when the preferences of each work of art of users visiting the exhibition hall are determined and statistical data is generated, the locations of the works may be rearranged or changed depending on the personal information of the user who plans to visit. For example, if an introverted woman in her 20s is planning to visit, the first work with a high preference in that category may be placed on the display panel (160) in a key location with easy visibility. In Fig. 1, each functional component included in the computing device (100) is described separately and in detail, but this is merely to aid understanding of the invention, and a single computing device may perform more than one function. With this configuration, in addition to simply displaying prepared works, the personalized work of the user is generated and provided in real time, thereby encouraging active participation in the exhibition for the user visiting the exhibition hall and providing a new artistic experience.

[0048] FIG. 2 is an exemplary drawing showing the structure of an exhibition hall (200) according to one embodiment of the present invention. As illustrated, the exhibition hall (200) may include a plurality of exhibition halls, such as a first exhibition hall, a second exhibition hall, a third exhibition hall, and a fourth exhibition hall. In addition, the exhibition hall (200) may be installed with a plurality of image sensors (210_1, 210_2, 210_3) and / or a plurality of beacon sensors (220_1, 220_2, 220_3) for collecting user movement data (240).

[0049] As described above, the computing device (100 in FIG. 1) can collect movement data (240) including the user's movement direction, movement speed, residence time, gaze time, and gaze direction by using the image sensors (210_1, 210_2, 210_3) and / or beacon sensors (220_1, 220_2, 220_3) installed in the exhibition hall (200). In addition, the movement data (240) collected in this way can be used to create digital content associated with the user.

[0050] According to one embodiment, digital content generated using movement data and basic images and / or digital content generated based on the user's personality type information may be displayed on display panels (230_1, 230_2, 230_3) installed in each exhibition hall. For example, the location where the digital content is displayed may be arbitrarily determined or directly selected by the user.

[0051] FIG. 3 is a diagram illustrating an example of query information (300) according to one embodiment of the present invention. As described above, the computing device (100 of FIG. 1) may collect movement data of a user visiting an exhibition hall, determine at least one work of interest of the user based on the collected movement data, obtain interaction information about the determined at least one work of interest, and determine personality type information of the user based on the obtained interaction information.

[0052] According to one embodiment, interaction information may be acquired based on query information (300) associated with each work. For example, a computing device may transmit query information (300) associated with at least one work of interest of the user to a user terminal associated with the user, and receive a response to the query information (300) from the user terminal to acquire interaction information. Here, the query information may represent survey information, psychological test information, etc., and the computing device may analyze and generate personality type information of the user based on interaction information representing the user's response to such query information.

[0053] By this configuration, the user's personality type can be estimated more precisely while reducing the user's fatigue in answering questions by transmitting query information (300) to the user only for works of interest and receiving responses thereto.

[0054] FIG. 4 is a diagram illustrating an example of a generative artificial neural network model (400) generating digital content (420) according to an embodiment of the present invention. As described above with reference to FIG. 3, when the user's personality type information (410) is generated, the computing device (100 of FIG. 1) can generate digital content according to the user's personality type. For example, the computing device can generate digital content (420) by providing the user's personality type information (410) to the generative artificial neural network model (400) that generates an image. In this case, the computing device can also generate a fake image (420) that is a modified version of the user's interest work by providing the user's highest interest score with the personality type information (410) to the generative artificial neural network model (400). In addition, the digital content (420) generated in this way can be displayed on a display panel in an exhibition hall.

[0055] By this configuration, by generating and providing digital content (420) that reflects the user's personality type in real time through a generative artificial neural network model (400), the user's interest in the exhibition hall can be increased, and thus, the user's visit to the exhibition hall can be effectively induced.

[0056] Figure 5 is an exemplary diagram illustrating an artificial neural network model (500) according to one embodiment of the present invention. The artificial neural network model (500) is an example of a machine learning model, and in machine learning technology and cognitive science, is a statistical learning algorithm implemented based on the structure of a biological neural network or a structure that executes the algorithm.

[0057] According to one embodiment, the artificial neural network model (500) may represent a machine learning model having problem-solving capabilities by learning that nodes, which are artificial neurons that form a network by combining synapses like in a biological neural network, repeatedly adjust the weights of synapses so that the error between the correct output corresponding to a specific input and the inferred output is reduced. For example, the artificial neural network model (500) may include any probability model, neural network model, etc. used in artificial intelligence learning methods such as machine learning and deep learning.

[0058] The artificial neural network model (500) can be implemented as a multilayer perceptron (MLP) composed of multiple layers of nodes and connections therebetween. The artificial neural network model (500) according to the present embodiment can be implemented using one of various artificial neural network model structures including MLP, but is not limited thereto. As illustrated in FIG. 5, the artificial neural network model (500) is composed of an input layer (520) that receives an input signal or data (510) from the outside, an output layer (540) that outputs an output signal or data (550) corresponding to the input data, and n hidden layers (530_1 to 530_n) located between the input layer (520) and the output layer (540) that receive signals from the input layer (520), extract features, and transmit them to the output layer (540) (where n is a positive integer). Here, the output layer (540) receives signals from the hidden layers (530_1 to 530_n) and outputs them to the outside.

[0059] The learning methods of the artificial neural network model (500) include a supervised learning method that learns to optimize problem solving through input of a teacher signal (correct answer), and an unsupervised learning method that does not require a teacher signal. According to one embodiment, the input variables of the artificial neural network model (500) may include information on the user's personality type, an image of a work of art, etc.

[0060] In this way, a plurality of input variables and corresponding plurality of output variables are respectively matched in the input layer (520) and the output layer (540) of the artificial neural network model (500), and the synapse values ​​between the nodes included in the input layer (520), the hidden layers (530_1 to 530_n), and the output layer (540) are adjusted, so that learning can be performed so that the correct output corresponding to a specific input can be extracted. Through this learning process, the characteristics hidden in the input variables of the artificial neural network model (500) can be identified, and the synapse values ​​(or weights) between the nodes of the artificial neural network model (500) can be adjusted so that the error between the output variables calculated based on the input variables and the target output is reduced.

[0061] In one embodiment, a generative artificial neural network model can generate digital content relevant to the user by receiving information about personality types and / or images of works of interest. In this case, the generated digital content can be displayed on a display panel.

[0062] FIG. 6 is a diagram illustrating an example of digital content (620) according to one embodiment of the present invention. As described above, the computing device (100 of FIG. 1) can collect movement data of users visiting an exhibition hall, determine a base image corresponding to the user, and generate digital content (620) associated with the user based on the movement data and the base image.

[0063] According to one embodiment, the computing device may calculate a user's interest score for each of a plurality of works exhibited in an exhibition hall based on the user's gaze time and gaze direction, determine a work with the highest interest score among the plurality of works, and determine an image associated with the work with the highest interest score as a base image.

[0064] At this time, the user can select one of the multiple images included in the work with the highest interest score as the base image via the user interface (610). In the illustrated example, if the user selects a flamingo image as the base image, digital content (620) with the color, saturation, size, and arrangement of the flamingo image changed according to the user's movement data can be generated.

[0065] FIG. 7 is a diagram illustrating an example of a user interface (700) for selecting an exhibition hall where digital content is displayed, according to one embodiment of the present invention. As described above, the computing device (100 of FIG. 1) can generate digital content associated with a user and display the generated digital content on a display panel installed in the exhibition hall.

[0066] In one embodiment, a user may select an exhibition hall for displaying his or her digital content via the user interface (700) of the user terminal. In this case, the computing device may receive a selection from the user (or the user terminal) for at least one exhibition hall among a plurality of exhibition halls constituting the exhibition hall, and display the digital content on a display panel installed in at least one exhibition hall selected by the user.

[0067] FIG. 8 is a diagram illustrating an example of a digital content creation method (800) according to one embodiment of the present invention. The digital content creation method (800) may be performed by at least one processor (e.g., at least one processor of a computing device). The digital content creation method (800) may be initiated by the processor collecting movement data of users visiting an exhibition hall (S810). Here, the movement data may include the user's movement direction, movement speed, residence time, gaze time, and gaze direction.

[0068] The processor can determine a base image corresponding to the user (S820). For example, the processor can calculate the user's interest score for each of multiple works of art displayed in an exhibition hall based on the user's gaze time and gaze direction, determine the work with the highest interest score among the multiple works, and determine the image associated with the work with the highest interest score as the base image. In this case, the processor can determine one image selected by the user from among the multiple images included in the work with the highest interest score as the base image.

[0069] The processor can generate user-related digital content based on the movement data and the base image (S830). For example, the processor can arrange the base image to correspond to the user's movement direction, change the color of the base image to a longer wavelength color as the user moves faster, increase the size of the base image as the user stays longer, and increase the saturation of the base image as the total interest score increases, thereby generating user-related digital content.

[0070] The processor can display digital content generated on a display panel installed in the exhibition hall (S840). For example, the processor can receive a user's selection of at least one exhibition hall among multiple exhibition halls constituting the exhibition hall, and display the digital content on a display panel installed in at least one of the exhibition halls selected by the user.

[0071] FIG. 9 is a diagram illustrating an example of a personality type-based digital content generation method (900) according to one embodiment of the present invention. The personality type-based digital content generation method (900) may be performed by at least one processor (e.g., at least one processor of a computing device). The personality type-based digital content generation method (900) may be initiated by the processor collecting movement data of a user visiting an exhibition hall (S910). Here, the movement data may include the user's movement direction, movement speed, residence time, gaze time, and gaze direction.

[0072] The processor can determine at least one work of interest for the user based on the collected movement data (S920). For example, the processor can calculate the user's interest score for each of the multiple works displayed in the exhibition hall based on the user's gaze time and gaze direction, and determine a work among the multiple works with an interest score exceeding a predetermined threshold as at least one work of interest for the user.

[0073] The processor can obtain interaction information regarding at least one determined work of interest (S930). Furthermore, the processor can determine the user's personality type based on the obtained interaction information (S940). For example, the processor can obtain interaction information by transmitting query information related to at least one work of interest to a user terminal associated with the user and receiving a response to the query information from the user terminal.

[0074] The processor can generate digital content associated with the user based on the determined user's personality type information (S950). Furthermore, the processor can display the generated digital content on a display panel installed in the exhibition hall (S960). In this case, the processor can receive a user's selection of at least one exhibition hall among the multiple exhibition halls constituting the exhibition hall, and display the digital content on a display panel installed in at least one of the exhibition halls selected by the user.

[0075] FIG. 10 is a block diagram showing the internal configuration of a computing device (100) according to one embodiment of the present invention. The computing device (100) may include a memory (1010), a processor (1020), a communication module (1030), and an input / output interface (1040). As illustrated in FIG. 10, the computing device (100) may be configured to communicate information and / or data via a network using the communication module (1030).

[0076] The memory (1010) may include any non-transitory computer-readable recording medium. According to one embodiment, the memory (1010) may include a non-volatile mass storage device such as a random access memory (RAM), a read only memory (ROM), a disk drive, a solid state drive (SSD), a flash memory, etc. As another example, a non-volatile mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the computing device (100) as a separate permanent storage device distinct from the memory. In addition, an operating system and at least one program code may be stored in the memory (1010).

[0077] These software components may be loaded from a computer-readable recording medium separate from the memory (1010). This separate computer-readable recording medium may include a recording medium directly connectable to the computing device (100), for example, a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, a memory card, etc. As another example, the software components may be loaded into the memory (1010) through a communication module (1030) other than a computer-readable recording medium. For example, at least one program may be loaded into the memory (1010) based on a computer program that is installed by files provided by developers or a file distribution system that distributes installation files of applications through the communication module (1030).

[0078] The processor (1020) may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations. The instructions may be provided to another user terminal (not shown) or another external system via the memory (1010) or the communication module (1030).

[0079] The communication module (1030) may provide a configuration or function for a user terminal (not shown) and a computing device (100) to communicate with each other via a network, and may provide a configuration or function for the computing device (100) to communicate with an external system (e.g., a separate cloud system, etc.). For example, control signals, commands, data, etc. provided under the control of the processor (1020) of the computing device (100) may be transmitted to the user terminal and / or the external system via the communication module (1030) and the network via the communication module of the user terminal and / or the external system.

[0080] In addition, the input / output interface (1040) of the computing device (100) may be a means for interfacing with a device (not shown) for input or output that is connected to the computing device (100) or that the computing device (100) may include. In FIG. 10, the input / output interface (1040) is illustrated as an element configured separately from the processor (1020), but is not limited thereto, and the input / output interface (1040) may be configured to be included in the processor (1020). The computing device (100) may include more components than those illustrated in FIG. 10. However, there is no need to explicitly illustrate most of the conventional components.

[0081] The processor (1020) of the computing device (100) may be configured to manage, process, and / or store information and / or data received from multiple user terminals and / or multiple external systems.

[0082] The above-described methods and / or various embodiments may be implemented by digital electronic circuits, computer hardware, firmware, software, and / or a combination thereof. Various embodiments of the present invention may be implemented as a computer program that is executed by a data processing device, for example, one or more programmable processors and / or one or more computing devices, or stored on a computer-readable recording medium and / or a computer-readable recording medium. The above-described computer program may be written in any form of programming language, including a compiled language or an interpreted language, and may be distributed in any form, such as a standalone program, a module, a subroutine, etc. The computer program may be distributed through a single computing device, multiple computing devices connected through the same network, and / or multiple computing devices distributed to be connected through multiple different networks.

[0083] The above-described methods and / or various embodiments may be performed by one or more processors configured to execute one or more computer programs that process, store, and / or manage any function, function, etc. by operating on the basis of input data or generating output data. For example, the methods and / or various embodiments of the present invention may be performed by special-purpose logic circuits such as FPGAs (Field Programmable Gate Arrays) or ASICs (Application Specific Integrated Circuits), and an apparatus and / or system for performing the methods and / or embodiments of the present invention may be implemented as special-purpose logic circuits such as FPGAs or ASICs.

[0084] The one or more processors executing the computer program may include a general-purpose or special-purpose microprocessor and / or one or more processors of any type of digital computing device. The processor may receive instructions and / or data from each of read-only memory and random-access memory, or may receive instructions and / or data from the read-only memory and the random-access memory. In the present invention, components of a computing device performing the methods and / or embodiments may include one or more processors for executing instructions, and one or more memory devices for storing instructions and / or data.

[0085] According to one embodiment, the computing device can transmit and receive data to and from one or more mass storage devices for storing data. For example, the computing device can receive and / or transfer data from a magnetic disc or an optical disc. A computer-readable storage medium suitable for storing instructions and / or data associated with a computer program may include, but is not limited to, any form of non-volatile memory, including semiconductor memory devices such as Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable PROM (EEPROM), flash memory devices, and the like. For example, the computer-readable storage medium may include a magnetic disk such as an internal hard disk or a removable disk, a magneto-optical disk, a CD-ROM, and a DVD-ROM disk.

[0086] To provide interaction with a user, a computing device may include, but is not limited to, a display device (e.g., a cathode ray tube (CRT), a liquid crystal display (LCD), etc.) for providing or displaying information to the user, and a pointing device (e.g., a keyboard, a mouse, a trackball, etc.) for allowing the user to provide input and / or commands to the computing device. That is, the computing device may further include any other types of devices for providing interaction with the user. For example, the computing device may provide any form of sensory feedback to the user, including visual feedback, auditory feedback, and / or tactile feedback, for interaction with the user. In this regard, the user may provide input to the computing device through various gestures, such as visual, vocal, or motion.

[0087] In the present invention, various embodiments may be implemented in a computing system that includes backend components (e.g., a data server), middleware components (e.g., an application server), and / or front-end components. In this case, the components may be interconnected via any form or medium of digital data communication, such as a communications network. For example, the communications network may include a Local Area Network (LAN), a Wide Area Network (WAN), etc.

[0088] A computing device based on the exemplary embodiments described herein may be implemented using hardware and / or software configured to interact with a user, including a user device, a user interface (UI) device, a user terminal, or a client device. For example, the computing device may include a portable computing device, such as a laptop computer. Additionally or alternatively, the computing device may include, but is not limited to, Personal Digital Assistants (PDAs), tablet PCs, game consoles, wearable devices, Internet of Things (IoT) devices, virtual reality (VR) devices, augmented reality (AR) devices, and the like. The computing device may further include other types of devices configured to interact with a user. Furthermore, the computing device may include a portable communication device (e.g., a mobile phone, a smart phone, a cordless cellular phone, etc.) suitable for wireless communication over a network, such as a mobile communication network. The computing device may be configured to communicate wirelessly with a network server using wireless communication technologies and / or protocols, such as Radio Frequency (RF), Microwave Frequency (MWF), and / or Infrared Ray Frequency (IRF).

[0089] The various embodiments of the present invention, including specific structural and functional details, are exemplary. Therefore, the embodiments of the present invention are not limited to those described above and may be implemented in various other forms. Furthermore, the terminology used herein is intended to describe certain embodiments and is not intended to limit the embodiments. For example, singular terms and the above may be interpreted to include plural forms, unless the context clearly dictates otherwise.

[0090] In the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by those of ordinary skill in the art to which they pertain. Furthermore, commonly used terms, such as terms defined in dictionaries, should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology.

[0091] While the present invention has been described in connection with certain embodiments herein, it should be understood that various modifications and variations can be made without departing from the scope of the invention as understood by those skilled in the art. Furthermore, such modifications and variations should be considered to fall within the scope of the claims appended to this specification.

Claims

1. A method for generating digital content based on personality types, performed by at least one processor, Step of collecting movement data of users visiting the exhibition hall; A step of determining at least one work of interest of the user based on the collected movement data; A step of obtaining interaction information for at least one work of interest determined above; A step of determining personality type information of the user based on the acquired interaction information; A step of generating digital content associated with the user based on the determined personality type information of the user; and A step of displaying the generated digital content on a display panel installed in the above exhibition hall; A method for creating digital content based on personality types, including:

2. In paragraph 1, The step of collecting movement data of users who visited the above exhibition hall is: A step of collecting movement data including the user's movement direction, movement speed, residence time, gaze time, and gaze direction using image sensors and beacon sensors installed in the exhibition hall; A method for creating digital content based on personality types, including:

3. In paragraph 1, The step of determining at least one work of interest of the user is as follows: A step of calculating the user's interest score for each of the multiple works exhibited in the exhibition hall based on the user's gaze time and gaze direction; and A step of determining a work among the plurality of works having an interest score greater than a predetermined threshold as at least one work of interest to the user; A method for creating digital content based on personality types, including:

4. In paragraph 1, The step of obtaining the above interaction information is: A step of transmitting query information related to at least one work of interest of the user to a user terminal associated with the user; and A step of obtaining the interaction information by receiving a response to the query information from the user terminal; A method for creating digital content based on personality types, including:

5. In paragraph 1, The step of creating digital content associated with the above user is: A step of providing the above personality type information to a learned generative artificial neural network model to generate digital content associated with the user; A method for creating digital content based on personality types, including:

6. In paragraph 1, A step of receiving a selection for at least one exhibition room among a plurality of exhibition rooms constituting the exhibition hall from the user; Including more, The step of displaying the generated digital content on the display panel installed in the above exhibition hall is as follows: A step of displaying the digital content on a display panel installed in at least one exhibition room selected by the user; A method for creating digital content based on personality types, including:

7. A computer program stored in a computer-readable recording medium for executing the method according to any one of paragraphs 1 to 6 on a computer.

8. As a computing device, Communication module; memory; and At least one processor connected to said memory and configured to execute at least one computer-readable program contained in said memory Including, At least one program above, Collecting movement data of users visiting the exhibition hall, At least one work of interest of the user is determined based on the collected movement data, Obtaining interaction information for at least one work of interest determined above, Determine the personality type information of the user based on the acquired interaction information, Generate digital content associated with the user based on the determined user's personality type information, A computing device including commands for displaying the generated digital content on a display panel installed in the above exhibition hall.

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