KR102673548B1 - Electronic device providing user interface constituted by user cognitive ability, and control method for server - Google Patents

Abstract

An electronic device that provides a UI configured according to a user's cognitive ability according to an aspect of the present invention includes a memory and a processor connected to the memory, wherein the processor acquires a cognitive level for a user stored in the memory and , Based on the cognitive level, a UI (User Interface) is configured that includes at least one of image size, text size, and whether to set one-touch lock mode for some UI.

Description

Electronic device providing a UI configured according to user cognitive ability, and control method of a server {ELECTRONIC DEVICE PROVIDING USER INTERFACE CONSTITUTED BY USER COGNITIVE ABILITY, AND CONTROL METHOD FOR SERVER}

The present invention relates to an electronic device that provides a UI configured according to the user's cognitive ability, and a control method of a server. Specifically, the present invention relates to a control method of a server by configuring a UI (User Interface) specialized in convenience for each user based on the level of each individual's cognitive ability. This technology makes it possible to provide applications that are accessible to the elderly and young children.

In the conventional application provision method, the UI configuration created by the application manager or designer depends on the user's It has been provided collectively to all.

Accordingly, users who have difficulty using electronic devices experience inconvenience and fatigue in the way they use applications. Due to this problem, they avoid the method of easily obtaining information online and solve problems face-to-face offline. An inconvenient method has been adopted.

Meanwhile, the matters described as background technology above are only for the purpose of improving understanding of the background of the present invention, and should not be taken as recognition that they correspond to prior art already known to those skilled in the art. will be.

Registered Patent Publication No. 10-1222210, 2013.01.08.

The problem to be solved by the present invention is to provide a control method of an electronic device and server that provides a UI configured according to the user's cognitive ability by providing a user-customized UI configuration suitable for the cognitive ability of each individual using the application.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

An electronic device that provides a UI configured according to a user's cognitive ability according to an aspect of the present invention for solving the above-mentioned problems includes a memory and a processor connected to the memory, and the processor includes a user stored in the memory. A cognitive level is acquired, and based on the cognitive level, a UI (User Interface) is configured that includes at least one of the size of the image, the size of the text, and whether to set a one-touch lock mode for some UIs.

At this time, the processor identifies at least one main UI and a plurality of sub UIs among the configuration of the preset basic UI, identifies a preset rank for each of the plurality of sub UIs, and determines a limited number of staff based on the cognitive level. It is possible to calculate , select a sub UI corresponding to a higher rank corresponding to the number of staff among the preset ranks for each of the plurality of sub UIs, and configure the UI to include the main UI and the selected sub UI.

In addition, the processor obtains at least one selection history for a user from the memory, identifies first information that is the final selected target based on the selection history, and has a history of deselection before the first information is selected. If at least one piece of second information is identified, it is possible to output the second information after the first information.

Additionally, the processor identifies at least one first UI from which the user input is obtained until the first information is selected, stores the selection route of the identified UI according to the acquisition order for the user input, and records the selection history. For , if the number of occurrences of the selection route is greater than the threshold, it is possible to configure the UI based on the selection route.

Meanwhile, the processor limits the amount of information per page based on the cognitive level, and limits the total amount of characters and images output per page based on the limited amount of information, but limits the number of images output per page to: Depending on the cognitive level, it is possible to have more than a certain number.

As an embodiment, the processor provides a preset basic UI configuration to a user, obtains a plurality of user inputs for the basic UI configuration, calculates the input time for the plurality of user inputs, and Identify at least one usage UI used, calculate a UI usage score for each identified usage UI, evaluate the cognitive level based on the input time and UI usage score, and store the cognitive level in memory for one user. It is possible to save.

In the control method of a server that provides a UI configured according to the user's cognitive ability according to an aspect of the present invention, the server acquires user information from an electronic device according to an aspect of the present invention, and the server acquires user information. Based on the information, a step of acquiring a cognitive level for a user, a step of configuring a UI (User Interface) provided by the server to a user based on the cognitive level, and the server converting the configured UI into an electronic device. It includes providing to the user through the device.

Other specific details of the invention are included in the detailed description and drawings.

According to the control method of an electronic device and server that provides a UI configured according to the user's cognitive ability of the present invention, the recognition time is measured compared to the amount of information the user needs to recognize, and based on the individual cognitive ability to recognize information per unit time. It becomes possible to provide personalized UI/UX that takes into account the ease of use for each individual.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 and 2 are configuration diagrams of an electronic device according to an embodiment of the present invention.
Figure 3 is a basic flow chart according to an embodiment of the present invention.
Figures 4 to 5 and Figures 7 to 9 are implementation diagrams according to an embodiment of the present invention.
Figure 6 shows a cognitive level evaluation method according to an embodiment of the present invention.
Figure 10 is a configuration diagram of a server according to an embodiment of the present invention.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail 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. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide a general understanding of the technical field to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for describing embodiments and is not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, it goes without saying that the first component mentioned below may also be a second component within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention pertains. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless clearly specifically defined.

As used in the specification, the term “unit” or “module” refers to a hardware component such as software, FPGA, or ASIC, and the “unit” or “module” performs certain roles. However, “part” or “module” is not limited to software or hardware. A “unit” or “module” may be configured to reside on an addressable storage medium and may be configured to run on one or more processors. Thus, as an example, a “part” or “module” refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within components and “parts” or “modules” can be combined into smaller components and “parts” or “modules” or into additional components and “parts” or “modules”. Could be further separated.

Spatially relative terms such as “below”, “beneath”, “lower”, “above”, “upper”, etc. are used as a single term as shown in the drawing. It can be used to easily describe the correlation between a component and other components. Spatially relative terms should be understood as terms that include different directions of components during use or operation in addition to the directions shown in the drawings. For example, if you flip a component shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. You can. Accordingly, the illustrative term “down” may include both downward and upward directions. Components can also be oriented in other directions, so spatially relative terms can be interpreted according to orientation.

In this specification, a computer refers to all types of hardware devices including at least one processor, and depending on the embodiment, it may be understood as encompassing software configurations that operate on the hardware device. For example, a computer can be understood to include, but is not limited to, a smartphone, tablet PC, desktop, laptop, and user clients and applications running on each device.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

1 and 2 are configuration diagrams of an electronic device according to an embodiment of the present invention.

The electronic device 100 that performs cognitive ability evaluation based on individual interface usage method according to one aspect of the present invention includes a memory 110 and a processor 120 connected to the memory 110.

Additionally, the electronic device 100 of the present invention may further include an input/output module 130 for providing a user interface (UI) to the user and obtaining a user command for the UI.

At this time, the input/output module 130 may include at least one of a display-type touch pad, a display, and an input device.

In one embodiment, the electronic device includes a kiosk, a smartphone, a tablet personal computer, a video phone, an e-book reader, a desktop PC, and a laptop PC. , may include at least one of a netbook computer, a laptop computer, a workstation, a server, a mobile medical device, a camera, a wearable device, and an artificial intelligence speaker. there is.

Figure 3 is a basic flowchart according to an embodiment of the present invention, Figures 4 to 5, and Figures 7 to 9 are implementation diagrams according to an embodiment of the present invention, and Figure 6 is an embodiment of the present invention. This shows the cognitive level evaluation method.

In the electronic device 100 of the present invention, in order to evaluate cognitive abilities based on individual interface usage method, the processor 120 provides a preset basic UI configuration to a user through the input/output module 130, and provides the basic UI configuration to a user. As a plurality of user inputs for the UI configuration are obtained through the input/output module 130, the selection history for one user can be stored in the memory 110 based on the plurality of user inputs.

The basic UI configuration is a configuration that includes all types of UI provided by the electronic device 100 (drag operation, touch input, fling operation, voice input, keyboard input, etc.), and the processor 120 configures the UI desired by the user. In order to obtain user commands according to type, a basic UI configuration is provided so that the user can select an input method for the UI through the input/output module 130.

Thereafter, the processor 120 calculates the input time for the plurality of user inputs, identifies at least one usage UI used for the plurality of user inputs, and calculates a UI usage score for each identified usage UI, Accordingly, the cognitive level can be evaluated based on input time and UI usage score.

At this time, the processor 120 may store the cognitive level in the memory 110 as information about one user.

To this end, the processor 120 identifies the first time point at which a user command is entered for the first time among the plurality of user inputs, and identifies the second time point at which the user command is last input relative to the first time point among the plurality of user inputs. And it is possible to calculate the input time, which is the time interval between the first time point and the second time point.

For example, as shown in FIG. 4, when a plurality of user inputs for one user are identified as the processor 120 obtains user commands for each drag operation and touch input through the input/output module 130, The processor 120 identifies the first time point and the second time point to calculate the input time until the finally selected information is identified according to the touch input.

Specifically, the processor 120 identifies the first time point at which the drag operation started and the second time point at which at least one piece of information was finally selected according to the touch input and the user command was last input, and the identified first time point and the second time point at which the user command was finally input. The input time can be obtained by calculating the time difference between two viewpoints.

Thereafter, the processor 120 identifies selection information selected by a plurality of user inputs, calculates a first value that is the number of letters included in the identified selection information, and identifies a first weight that is a preset weight for the letters. A second value, which is the number of images included in the identified selection information, is calculated, and a second weight, which is a preset weight for the image, is identified.

At this time, the selection information selected by the user input is data about all subjects (ex. menus output on the screen) provided to the user through the input/output module 130, including the last selected subject (ex. menu).

For example, as shown in Figures 4 and 5, when there are three total subjects, in calculating the amount of partial information for each subject, the first value and the second value for each subject are calculated, and the calculated As the weight to be applied to the first value, 1, the first weight for the text, is identified, and as the weight for the image to the second value, 0.6, the second weight, is identified.

The processor 120 calculates a first weight by applying a first weight to the first value, calculates a second weight by applying a second weight to the second value, and based on the first weight and the second weight. You can obtain a lot of information.

At this time, the information amount for each subject is a partial information amount, and the information amount for all subjects, which is selection information, is the total sum of the partial information amounts.

For example, as shown in FIG. 5, the processor 120 assigns weights to the first value of 14 and the second value of 1 for the first subject (00 00000 cheese) to obtain a partial information amount of 14.6. , 39.8, which is the total sum of 12.6, which is the partial information amount of the second subject (0000 burger), and 12.6, which is the partial information amount of the third subject (000 00 burger), is calculated as the information amount of the selection information.

Accordingly, the processor 120 is able to calculate the amount of information per unit time for one user based on the input time and amount of information.

For example, as shown in FIG. 6, when the input time (delta time) is 0.7 (s, seconds) for the information amount 39.8, the information amount per unit time for one user (velocity) is calculated by the processor 120. Calculated as 5.68571429(/s).

As an embodiment, when the number of times that a subject is included in the selection information exceeds a certain number of times, the processor 120 calculates the amount of partial information for the subject by adding a value to the second weight applied to the second value for the image. By applying the first parameter and lowering the value of the second weight, it is judged that as the recognition rate for the subject increases, the input time will be shortened in proportion to the time to recognize information about the subject, and the subject By reducing the amount of partial information for , it is possible to maintain fairness in input time compared to the amount of partial information for each subject.

At this time, the processor 120 increases the first weight and the second weight by applying the second parameter to the first weight and the second weight, respectively, for subjects that were uploaded within a certain time, thereby increasing the first weight and the second weight. Considering that the user's recognition rate is low, it is possible to maintain fairness in the input time compared to the amount of partial information for each subject.

The processor 120 obtains a standard information amount per unit time and a standard UI usage score previously stored in the memory 110 for the information amount, and based on the information amount per unit time and the UI usage score, the standard information amount per unit time is obtained. It is possible to calculate the similarity with respect to the standard UI usage score and calculate the level of recognition for one user based on the calculated similarity.

For example, as shown in Figure 6, if the standard information amount per unit time for the information amount 39.8 is 7.96 and the standard UI usage score is 10 (points), the UI usage score of one user is 10 (points), If the information amount per unit time is 5.68571429, the processor 120 uses the first square value of 2.27428571, which is the difference between the reference amount of information per unit time and the information amount per unit time, and 0, which is the difference between the standard UI usage score and the UI usage score of one user. The root value of 2.27428571, the sum of the second square values (the sum of the first square value and the second square value), is calculated as the similarity to the standard information amount per unit time and the standard UI use score.

That is, the processor 120 uses sqrt[the first squared value ((standard information amount per unit time - information amount per unit time) ² ) + the second squared value ((standard UI usage score - UI usage score) ² )] as the similarity. It can be calculated.

Meanwhile, when the processor 120 levels the recognition level based on similarity, if the similarity is less than 2.5, it is level 1, if it is less than 5, it is level 2, if it is less than 7.5, it is level 3, and other similarities are set to level 4. It is defined as

Additionally, the processor 120 identifies at least one UI actually used by a user among the basic UI configurations based on a plurality of user inputs, and determines at least one UI that is proportional to the difficulty of use for each type of identified UI. It is possible to identify a preset usage score and calculate a UI usage score for one user based on the total sum of the identified usage scores.

For example, as shown in Figure 7, types of UI include drag operation, touch input, fling operation, voice input, and keyboard input. Except that subject selection according to touch input is an essential action, the difficulty level for the remaining types is increases in the following order: drag operation, fling operation, voice input, and keyboard input.

Accordingly, the usage score for each type of UI can be set to 4 for the drag operation, 6 for the fling operation, 9 for voice input, and 10 for keyboard input.

Specifically, in the method used by a user to select a subject through the input/output module 130, keyboard input to filter the desired subject by entering text in the search box is 10 points, and pronouncing the keyword for the desired subject is 10 points. Voice input, which filters the desired subject by inputting voice, performs a drag operation on the screen with 9 points, but fling (as a vector occurs from a point in one direction on the screen, at least one of a certain interval, a certain time, and a certain intensity) The Fling operation, which generates a physical animation through a phenomenon in which the screen is automatically moved, is set to 6 points, and the Drag input, which reaches the desired subject only through a drag operation, is set to 4 points.

To this end, the processor 120 may identify the type of UI used by a user for the input/output module 130.

At this time, the processor 120 limits the total sum of UI usage scores to 10 or less, but if the same type of UI is repeatedly identified, only one can be reflected in the UI usage score.

As an example, when calculating the UI usage score, the processor 120 may identify a plurality of types of UI and obtain the usage score set for the type of UI with high difficulty as the UI usage score of one user.

In addition, the processor 120 calculates the time required according to the type of UI actually used by the user based on the plurality of user inputs and the type of at least one UI used for each of the plurality of user inputs, and By identifying the ranking of all UI types based on the time required for each type, it is possible to identify the type of UI that the user is more proficient in using among the types of UI actually used, which is the type of UI preferred by the user. there is.

Accordingly, when at least one type of UI whose preset score is higher than the threshold among all types of UI is included in a certain high ranking, the type of UI whose preset score is higher than the threshold is included in the certain high ranking. It is possible to apply a third weight proportional to the score of to the UI usage score.

For example, the type of UI actually used is voice input (3 minutes) and drag operation (5 minutes), the threshold is 9, the weight is 1.01 for 9, the weight is 1.05 for 4, and the top ranking is up to 2. In the case of identification, the processor 120 obtains 9.09 by applying a weight of 1.01 to 9, thereby obtaining a total UI usage score of 13.09 instead of 13.

At this time, when the standard UI use score is 13.1, for one user, as the similarity increases, a higher cognitive level of that user can be stored than when the UI use score is 13, and accordingly, the type of UI In addition to the level of difficulty, proficiency in the type of UI can be reflected in the cognitive level.

Meanwhile, in providing the standard UI configuration to the user through the input/output module 130, the processor 120 may provide a scenario for obtaining user commands for all types of UI for one user.

As an embodiment, the processor 120 provides a first reference UI configuration to the user through the input/output module 130, in which the types of UI are randomly applied but the amount of information selected by each UI type is the same, and a plurality of When a user command is obtained, identify at least one type of UI for the plurality of user commands obtained, and generate a second reference UI configuration only from the types of UI remaining, excluding the identified UI type, among all UI types. , the amount of information selected by each of the remaining UI types is limited to be the same and provided back to the user, so that user commands according to all UI types can be obtained.

Accordingly, the processor 130 may calculate the input time for each type of UI, and determine that a user's proficiency in each type of UI is high in descending order of the calculated input time.

At this time, when configuring a UI according to the cognitive level, if a type of UI whose input time is less than the threshold is identified, the processor 120 may configure it by excluding the type of UI identified as having an input time less than the threshold.

Meanwhile, as shown in FIGS. 7 and 8, the processor 120 creates a UI (UI) including at least one of the size of the image, the size of the text, and whether to set a one-touch lock mode for some UIs based on the cognitive level. It is possible to configure the User Interface.

Specifically, as shown in FIG. 3, in order to provide a UI configured according to the user's cognitive ability, the processor 120 acquires user information for one user stored in the memory 110 (S310), and Acquires a cognitive level for a user based on user information (S320), and based on the cognitive level, determines at least one of image size, text size, and whether to set a one-touch lock mode for some UIs. A UI (User Interface) is configured (S330), and the configured UI is provided to the user through the input/output module 130 (S340).

The one-touch lock mode does not change the screen immediately even if the user touches the input/output module 130 once, but switches the screen by one touch so that a prompt alarm can be provided or an alarm requesting a retouch can be provided. This is a limiting mode.

The processor 120 identifies at least one main UI and a plurality of sub UIs among the configuration of the preset basic UI, identifies a preset rank for each of the plurality of sub UIs, and selects limited staff based on the cognitive level. It is possible to calculate the number, select a sub UI corresponding to a higher rank corresponding to the number of staff among the preset ranks for each of the plurality of sub UIs, and configure the UI to include the main UI and the selected sub UI.

The preset basic UI configuration is the UI configuration that configures the application designed by the developer based on UX, and the preset ranking for each of the plurality of sub UIs is operated by users who have used the application for a certain period of time up to the current point. It is a ranking based on the number of times it has been operated, and the greater the number of times it has been operated, the higher the rank.

The main UI is an essential UI that makes up the application. For example, the login button, subject selection button, payment button, etc. correspond to the main UI.

Accordingly, the lower the cognitive level of a user, the processor 120 reduces the number of sub-UIs provided through the application, thereby reducing the number of steps that a user must enter when using the application. It can relieve the burden.

In addition, the processor 120 obtains at least one selection history for a user from the memory 110, identifies first information that is the final selected target based on the selection history, and before the first information is selected, When at least one piece of second information with a history of deselection is identified, the second information is output after the first information, so that when a user selects the first information, the second information is confused with the first information. In order to prevent incorrect selection, the output location of the second information on the input/output module 130 may be changed based on the output location of the first information.

At this time, as an example, the processor 120 identifies the first output location of the first information on the input/output module 130 and places the second output location of the second information at a certain area away from the first output location. In this case, a certain area may be set in proportion to the amount of information per page limited based on the cognitive ability of a user.

The amount of information per page is a limited amount of information output on one page when providing an application through the input/output module 130.

For example, the processor 120 can select the number of texts, character spacing, fonts, size of images, etc. based on the amount of information per page, and in this case, the font is selected based on the discrimination ranking previously registered in the memory 110. It can be. For example, the ranking of identification may be lowered in the following order: Clear Gothic, Batang, and Gulim.

Additionally, the processor 120 identifies at least one first UI from which the user input is obtained until the first information is selected, and stores the selection route of the identified UI according to the acquisition order for the user input. , Regarding the selection history, if the number of occurrences of the selection route is more than the threshold, it is possible to configure the UI based on the selection route.

At this time, the processor 120 stores the number of occurrences of each route selected by all users in the memory 110, and may classify the selection route with the highest number of occurrences for each cognitive ability as the standard route.

For one user, if a selection route whose number of occurrences is greater than the threshold does not occur, the processor 120 identifies a standard route based on the cognitive ability of the user and configures a UI based on the identified standard route to provide the user with a selection route. can be provided.

Meanwhile, the processor 120 limits the amount of information per page based on the cognitive level, and as shown in FIG. 8, limits the total amount of the number of characters and images output per page based on the limited amount of information. However, it is possible to ensure that the number of images output per page exceeds a certain number depending on the cognitive level.

Accordingly, as shown in FIG. 9, when providing a standard UI configuration to a user, the processor 120 obtains a user command for selecting the type of service provided through the application through the input/output module 130. Then, a standard UI configuration, which is a scenario for the type of service obtained, is provided, a plurality of user commands are acquired accordingly, the user's cognitive ability is identified based on the obtained user commands, and a UI suitable for the identified cognitive ability is provided. Configuration can be provided to the user.

Meanwhile, when the server 200 performs the role of the processor 120 of the electronic device 100 including the communication unit and performs cognitive ability evaluation based on individual interface usage method, in the control method of the server 200, the server 200 200 may provide a preset basic UI configuration to a user through the electronic device 100 and obtain a plurality of user inputs for the basic UI configuration.

At this time, the electronic device 100 may be either a user terminal (ex. smartphone, tablet, etc.) owned by the user or a kiosk.

The server 200 calculates the input time for a plurality of user inputs, identifies at least one usage UI used for the plurality of user inputs, and calculates a UI usage score for each identified usage UI, thereby inputting the input. Cognitive level can be evaluated based on time and UI usage score.

Thereafter, in the control method of the server 200 that provides a UI configured according to the user's cognitive ability, the server 200 acquires user information from the electronic device 100 and, based on the obtained user information, determines one user By obtaining a cognitive level for and constructing a UI provided to a user based on the cognitive level, the constructed UI can be provided to the user through the electronic device 100.

Figure 10 is a configuration diagram of a server according to an embodiment of the present invention.

As shown, the server 200 may include a memory 210, a communication unit 220, and a processor 230.

The memory 210 can store various programs and data necessary for the operation of the server 200. The memory 210 may be implemented as a non-volatile memory 210, a volatile memory 210, a flash memory 210 (flash-memory), a hard disk drive (HDD), or a solid state drive (SSD).

The communication unit 220 can communicate with an external device. In particular, the communication unit 220 may include various communication chips such as a Wi-Fi chip, a Bluetooth chip, a wireless communication chip, an NFC chip, and a low-energy Bluetooth chip (BLE chip). At this time, the Wi-Fi chip, Bluetooth chip, and NFC chip communicate in the LAN method, WiFi method, Bluetooth method, and NFC method, respectively. When using a Wi-Fi chip or Bluetooth chip, various connection information such as SSID and session key are first transmitted and received, and various information can be transmitted and received after establishing a communication connection using this. A wireless communication chip refers to a chip that performs communication according to various communication standards such as IEEE, Zigbee, 3G (3rd Generation), 3GPP (3rd Generation Partnership Project), LTE (Long Term Evolution), and 5G (5th Generation).

The processor 230 can control the overall operation of the server 200 using various programs stored in the memory 210. The processor 230 may be comprised of RAM, ROM, a graphics processing unit, a main CPU, first to n interfaces, and a bus. At this time, RAM, ROM, graphics processing unit, main CPU, first to n interfaces, etc. may be connected to each other through a bus.

RAM stores O/S and application programs. Specifically, when the server 200 is booted, the O/S is stored in RAM, and various application data selected by the user may be stored in RAM.

ROM stores a set of instructions for booting the system. When a turn-on command is input and power is supplied, the main CPU copies the O/S stored in the memory 210 to RAM according to the command stored in the ROM, executes the O/S, and boots the system. When booting is complete, the main CPU copies various application programs stored in the memory 210 to RAM and executes the application programs copied to RAM to perform various operations.

The graphics processing unit uses a calculation unit (not shown) and a rendering unit (not shown) to create a screen containing various objects such as items, images, and text. Here, the calculation unit may be configured to calculate attribute values such as coordinate values, shape, size, color, etc. for each object to be displayed according to the layout of the screen using a control command received from the input unit. Additionally, the rendering unit may be configured to generate screens of various layouts including objects based on attribute values calculated by the calculation unit. The screen generated by this rendering unit may be displayed within the display area of the display.

The main CPU accesses the memory 210 and performs booting using the OS stored in the memory 210. And, the main CPU performs various operations using various programs, contents, data, etc. stored in the memory 210.

The first to n interfaces are connected to the various components described above. One of the first to n interfaces may be a network interface connected to an external device through a network.

Meanwhile, the processor 230 may include one or more cores (not shown) and a graphics processing unit (not shown) and/or a connection path (e.g., bus, etc.) for transmitting and receiving signals with other components. You can.

Processor 230 according to one embodiment performs the method described in connection with the present invention by executing one or more instructions stored in memory 210.

For example, the processor 230 acquires new training data by executing one or more instructions stored in the memory 210, performs a test on the acquired new training data using a learned model, and performs the test. As a result, first learning data in which labeled information is obtained with an accuracy greater than a predetermined first reference value is extracted, the extracted first learning data is deleted from the new learning data, and the new learning data from which the extracted learning data is deleted is extracted. The learned model can be retrained using training data.

Meanwhile, the processor 230 includes random access memory (RAM) (not shown) and read-only memory (ROM) that temporarily and/or permanently store signals (or data) processed within the processor 230. , not shown) may be further included. Additionally, the processor 230 may be implemented in the form of a system on chip (SoC) including at least one of a graphics processing unit, RAM, and ROM.

The memory 210 may store programs (one or more instructions) for processing and controlling the processor 230. Programs stored in the memory 210 may be divided into a plurality of modules according to their functions.

The steps of the method or algorithm described in connection with embodiments of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. The software module may be RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), Flash Memory, hard disk, removable disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) and stored in a medium in order to be executed in conjunction with a hardware computer. Components of the invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as combinations of data structures, processes, routines or other programming constructs, such as C, C++, , it can be implemented in a programming or scripting language such as Java, assembler, Python, etc. Functional aspects may be implemented as algorithms running on one or more processors.

Above, embodiments of the present invention have been described with reference to the attached drawings, but those skilled in the art will understand that the present invention can be implemented in other specific forms without changing its technical idea or essential features. You will be able to understand it. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive.

100: electronic device
110: memory
120: processor
130: input/output module
200: server
210: memory
220: Department of Communications
230: processor

Claims (7)

An input/output module that provides information to the user and obtains user commands;
Memory; and
Including a processor connected to the memory,
The processor,
Obtaining a recognition level for a user stored in the memory,
Based on the cognitive level, configure a UI (User Interface) including at least one of image size, text size, and whether to set a one-touch lock mode for some UI,
The processor,
Among the configurations of the preset basic UI, identify at least one main UI and a plurality of sub UIs,
Identifying a preset ranking for each of the plurality of sub UIs,
Calculate the number of staff corresponding to the preset ranking of each of the limited plurality of sub UIs based on the cognitive level,
Selecting a sub UI corresponding to a higher rank corresponding to the number of staff among the preset ranks for each of the plurality of sub UIs,
Configure a UI to include the at least one main UI and the selected sub UI,
The processor,
Obtain at least one selection history for selecting first information and second information for the one user from the memory,
Based on the at least one selection history, identify first information that is the final selected target,
If at least one piece of second information that has a history of being deselected is identified before the first information is selected, output the second information at a lower priority than the first information,
The first information and the second information are,
This is information that the processor outputs through the input/output module and provides to the user,
The processor,
Until the first information is selected, identify at least one UI from which a user input for selecting the at least one main UI and the plurality of sub UIs is obtained,
Store the selection route of the identified at least one UI according to the acquisition order for user input,
If the number of occurrences of a selection route for the at least one UI is greater than or equal to a threshold, the electronic device reconstructs the basic UI based on the selection route. delete delete delete According to claim 1,
The processor,
Based on the above cognitive level, limit the amount of information per page,
Based on the limited amount of information above, limit the total number of characters and images printed per page,
An electronic device that ensures that the number of images output per page exceeds a certain number according to the cognitive level. According to claim 1,
The processor,
Through the input/output module, a preset basic UI configuration is provided to the user,
Obtaining a plurality of user inputs for the basic UI configuration through the input/output module,
Calculating input times for the plurality of user inputs,
Identifying at least one use UI corresponding to the plurality of user inputs among the basic UIs,
Calculating a UI usage score for each of the identified at least one usage UI,
Evaluate the cognitive level based on the input time and the UI usage score,
An electronic device that stores the cognitive level in the memory for the one user. In the server control method,
Obtaining, by the server, user information from the electronic device of claim 1;
Obtaining, by the server, a recognition level for a user based on the acquired user information;
Configuring, by the server, a UI (User Interface) including at least one of image size, text size, and whether to set a one-touch lock mode for some UI based on the cognitive level; and
It includes providing, by the server, a configured UI to the user through the electronic device,
The step of configuring the UI is,
Identifying, by the server, at least one main UI and a plurality of sub UIs among the configuration of a preset basic UI;
identifying, by the server, a preset ranking for each of the plurality of sub UIs;
calculating, by the server, a number of steps corresponding to a preset rank of each of the limited plurality of sub UIs based on the cognitive level;
selecting, by the server, a sub UI corresponding to a higher rank corresponding to the number of higher steps among preset ranks for each of the plurality of sub UIs; and
Containing, by the server, configuring a UI to include the at least one main UI and the selected sub UI,
The control method is,
Obtaining, by the server, at least one selection history for selecting first information and second information for the one user;
The server identifies first information that is the final selected target based on the at least one selection history,
When the server identifies at least one second information that has a history of being deselected before the first information is selected, outputs the second information at a lower priority than the first information,
The first information and the second information are,
Information that the server transmits to the electronic device to be output by the electronic device and provided to the user,
The control method is,
The server identifies at least one UI from which a user input for selecting the at least one main UI and the plurality of sub UIs is obtained until the first information is selected,
The server stores a selection route of the identified at least one UI according to an acquisition order for user input,
A control method of a server, wherein the server reconfigures the basic UI based on the selection route when the number of occurrences of the selection route for the at least one UI is greater than a threshold.

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