KR102573241B1 - Electronic device for performing cognitive ability assessment based on individual interface method, and control methods for server - Google Patents

Abstract

According to an aspect of the present invention, an electronic device for performing cognitive ability evaluation based on an individual interface usage method includes a memory, an input/output module providing information to a user and obtaining a user command, and a processor connected to the memory and input/output module, the processor Provides a preset basic UI (User Interface) configuration to one user, obtains a plurality of user inputs for the basic UI configuration, calculates input times for the plurality of user inputs, and uses them for the plurality of user inputs. At least one used UI is identified, a UI use score is calculated for each of the identified used UIs, a recognition level is evaluated based on the input time and the UI use score, and the recognition level is determined for one user. store in memory

Description

Electronic device performing cognitive ability evaluation based on individual interface usage method, and server control method

The present invention relates to an electronic device that performs cognitive ability evaluation based on an individual interface usage method, and a method for controlling a server, and more particularly, through interaction that occurs when using a general smartphone rather than a specialized task for measuring cognitive ability. It is a technology for determining cognitive ability by combining a method for measuring cognitive ability and a method for determining the level of cognitive ability depending on whether or not different UI (User Interface)/UX (User eXperience) are used to achieve the same purpose.

Conventional cognitive ability evaluation methods include a method of presenting a task specialized in cognitive ability evaluation and analyzing and evaluating the solution, a method of requesting disability type information for only the disabled, and a method specialized for the disease such as dementia prevention There have been methods for measuring cognitive abilities.

This method simply evaluates cognitive ability by selecting criteria only for the entire time required for evaluation, but has a problem of low reliability of objectivity because it does not perform evaluation by item according to information.

On the other hand, the matters described as the background art above are only for improving understanding of the background of the present invention, and should not be taken as an admission 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 not simply a method of measuring only time, but a user-specific interface that normalizes the user's ability to recognize information per unit time, that is, the perceived velocity, by measuring the amount of information to be perceived by the user versus the time to perceive it. An electronic device that performs method-based cognitive ability evaluation and a method for controlling a server are provided.

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

An electronic device for performing cognitive ability evaluation based on an individual interface usage method according to an aspect of the present invention for solving the above problems includes a memory, an input/output module that provides information to a user and obtains a user command, and a memory and input/output module It includes a connected processor, wherein the processor provides a preset basic user interface (UI) configuration to one user through an input/output module, obtains a plurality of user inputs for the basic UI configuration through the input/output module, and provides a plurality of user inputs for the basic UI configuration. Calculate an input time for an input, identify at least one used UI used for a plurality of user inputs, calculate a UI use score for each of the identified used UIs, and based on the input time and the UI use score A cognitive level is evaluated and the cognitive level is stored in memory for one user.

On the other hand, the processor identifies a first time point at which a user command is input for the first time among a plurality of user inputs, identifies a second time point at which a user command is last input with respect to the first time point among a 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.

In addition, the processor identifies selection information selected by a plurality of user inputs, calculates a first value that is the number of characters included in the identified selection information, identifies a first weight that is a preset weight for the character, A second value that is the number of images included in the identified selection information is calculated, a second weight that is a predetermined weight for the image is identified, a first weight is calculated by applying a first weight to the first value, and a second weight is calculated. Calculate a second weight by applying a second weight to the value, obtain an amount of information based on the first weight and the second weight, and calculate an amount of information per unit time for one user based on the input time and amount of information it is possible

In addition, the processor obtains a reference amount of information per unit time and a reference UI use score pre-stored for the amount of information in the memory, and based on the amount of information per unit time and the UI use score, the reference amount of information per unit time and the reference UI use score. It is possible to calculate the degree of similarity for the score, and to calculate the level of cognition for one user based on the calculated degree of similarity.

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

In addition, the processor calculates the required time 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 determines the type of the calculated UI. Based on the elapsed time, the ranking of all types of UI is identified, and if at least one type of UI whose preset score is higher than a threshold among all types of UI is included in a certain high ranking, included in a certain high ranking, It is possible to apply a third weight proportional to the score of the type of UI whose preset score is equal to or greater than the threshold value to the UI use score.

As an embodiment, the processor may configure a user interface (UI) including at least one of image size, text size, and whether or not to set a one-touch lock mode for some UIs based on the recognition level.

In the method for controlling a server that performs cognitive ability evaluation based on an interface usage method for each individual according to the present invention, the server provides a preset basic UI (User Interface) configuration to a user through an electronic device according to an aspect of the present invention. Step, by the server, acquiring a plurality of user inputs for basic UI configuration through an electronic device, calculating, by the server, input times for the plurality of user inputs, by the server, using the plurality of user inputs Identifying at least one UI in use, calculating, by the server, a UI use score for each identified UI in use, and evaluating, by the server, a recognition level based on the input time and the UI use score. Include steps.

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

According to the method of controlling an electronic device and a server for evaluating cognitive ability based on an interface usage method for each individual of the present invention, the cognitive ability of each individual to recognize information per unit time is normalized by measuring the amount of information to be perceived by the user and the amount of time to perceive it. By doing so, it becomes possible to provide a personalized UI/UX.

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.
3 is a basic flow diagram according to an embodiment of the present invention.
4 to 5 and FIGS. 7 to 9 are execution diagrams according to an embodiment of the present invention.
6 illustrates a cognitive level evaluation method according to an embodiment of the present invention.
10 is a configuration diagram of a server according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element 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 belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

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

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer means any kind of hardware device including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to an embodiment. For example, a computer may be understood as including a smartphone, a tablet PC, a desktop computer, a laptop computer, and user clients and applications running on each device, but is not limited thereto.

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

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

An electronic device 100 for performing cognitive ability evaluation based on an individual interface usage method according to an aspect of the present invention includes a memory 110 and a processor 120 connected to the memory 110 .

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

In this case, 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 may include a kiosk, a smartphone, a tablet personal computer, a video phone, an e-book reader, a desktop PC, and a laptop PC. , It may include at least one of a netbook computer, a notebook computer, a workstation, a server, a mobile medical device, a camera, a wearable device, and an AI speaker. there is.

3 is a basic flowchart according to an embodiment of the present invention, FIGS. 4 to 5 and 7 to 9 are execution diagrams according to an embodiment of the present invention, and FIG. 6 is a flowchart according to an embodiment of the present invention. It shows the cognitive level evaluation method according to this.

As shown in FIG. 3 , in the electronic device 100 of the present invention, the processor 120 provides a preset basic UI configuration to one user through the input/output module 130 (S310), and the basic UI configuration As a plurality of user inputs for are acquired through the input/output module 130 (S320), a selection history for one user may 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 (a drag operation, a touch input, a fling operation, a voice input, a keyboard input, etc.), and the processor 120 provides the UI desired by the user. In order to obtain a user command according to the 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 an input time for a plurality of user inputs (S330) and identifies at least one UI used for the plurality of user inputs (S340), so that the UI for each of the identified UIs is used. A use score may be calculated (S350), and a recognition level may be evaluated based on the input time and the UI use score (S360).

In this case, the processor 120 may store the recognition level in the memory 110 as information about one user.

To this end, the processor 120 identifies a first time point at which a user command is input for the first time among a plurality of user inputs, and identifies a second time point at which a user command is last input with respect to the first time point among a 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 a user command for each drag operation and touch input through the input/output module 130, The processor 120 identifies a first time point and a second time point to calculate an input time until finally selected information is identified according to a touch input.

Specifically, the processor 120 identifies a first time point when a drag operation starts and a second time point when at least one piece of information is finally selected according to a touch input and a user command is finally input, and the identified first time point and the second time point are identified. The input time can be obtained by calculating the time difference between the two points in time.

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

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

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

The processor 120 calculates a first weight by applying a first weight to a first value, calculates a second weight by applying a second weight to a second value, and calculates a second weight based on the first weight and the second weight. amount of information can be obtained.

In this case, the amount of information for each subject is the amount of partial information, and the amount of information for all subjects, which is the selected information, is the total sum of the amounts of partial information.

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

Accordingly, the processor 120 can 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, sec) for the information amount 39.8, the information amount (velocity) per unit time for one user is calculated by the processor 120. It is calculated as 5.68571429 (/s).

As an example, when the number of times 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 corresponding subject by using a second weight applied to a second value for the image. By lowering the value of the second weight by applying the first parameter, it is determined that the input time, which is proportional to the time for recognizing information on the subject, will be shortened as the recognition rate for the subject increases, and the corresponding subject By reducing the amount of partial information for , it is possible to maintain fairness in terms of 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 a second parameter to the first weight and the second weight, respectively, for the subject whose uploaded time is within a certain time, thereby obtaining information about new information. Considering that the user's recognition rate is low, fairness can be maintained for input time compared to the amount of partial information for each subject.

The processor 120 acquires a reference amount of information per unit time and a reference UI use score pre-stored in the memory 110 for the amount of information, and based on the amount of information per unit time and the UI use score, the reference amount of information per unit time, And it is possible to calculate the degree of similarity with respect to the reference UI use score, and to calculate the recognition level for one user based on the calculated degree of similarity.

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

That is, the processor 120 converts sqrt [first square value ((reference amount of information per unit time-amount of information per unit time) ² ) + second square value ((reference UI use score-UI use score) ² )] to the similarity can be calculated

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

In addition, the processor 120 identifies at least one UI actually used by one user among basic UI configurations based on a plurality of user inputs, and for each type of identified UI, proportional to the difficulty of use. It is possible to identify predetermined use points and calculate a UI use point for one user based on the total sum of the identified use points.

For example, as shown in FIG. 7, the 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, and the difficulty level for the remaining types increases in the order of drag operation, fling operation, voice input, and keyboard input.

Accordingly, the use points for the type of UI may be set to 4 for drag operation, 6 for fling operation, 9 for voice input, and 10 for keyboard input.

Specifically, in a method used by a user to select a subject through the input/output module 130, a keyboard input for filtering a desired subject by inputting text in a search box is 10 points, and a key word for the desired subject is pronounced. Voice input that filters the desired subject by inputting voice is 9 points, performing a drag operation on the screen, but fling (as a vector is generated from one point toward one direction on the screen, at least one of constant interval, certain time, and certain intensity The phenomenon in which the screen is automatically moved for) is set to 6 points for the fling motion that generates physical animation, and 4 points for the drag input that reaches the desired subject only through the drag motion.

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

At this time, the processor 120 limits the total sum of the UI use points to 10 or less, but if the same type of UI is repeatedly identified, only one of them may be reflected in the UI use points.

As an example, when calculating UI use points, the processor 120 may obtain a use point set for a UI type having a high level of difficulty as a user's UI use point when identifying a plurality of types of UIs.

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

Accordingly, if at least one UI type having a preset score equal to or higher than a threshold value among all types of UIs is included in a predetermined higher rank, the processor 120 selects the UI types included in the predetermined higher rank and having a preset score equal to or higher than the threshold value. It is possible to apply a third weight proportional to the score of the UI use score.

For example, the types of UI actually used are voice input (3 minutes) and drag operation (5 minutes), the threshold is 9, the weight is 1.01 for 9, and the weight is 1.05 for 4, and the top rank is up to 2. In case of identification, the processor 120 may obtain 13.09, not 13, as the total UI use score by applying a weight of 1.01 to 9 to obtain 9.09.

At this time, when the reference UI use score is 13.1, for one user, as the similarity increases, the recognition level of one user higher than that when the UI use score is 13 can be stored. Accordingly, the type of UI Not only the level of difficulty but also proficiency in the type of UI may be reflected in the cognitive level.

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

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

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

At this time, in constructing the UI according to the recognition level, the processor 120 may configure except for the type of UI identified as having the input time less than the threshold value when the type of UI whose input time is less than the threshold value is identified.

Meanwhile, as shown in FIGS. 7 and 8 , the processor 120 determines a UI including at least one of image size, text size, and whether or not the one-touch lock mode is set for some UIs based on the recognition level. It is possible to configure the user interface).

Specifically, in order to provide a UI configured according to the cognitive ability based on the individual interface usage method, the processor 120 obtains a cognitive level for one user stored in the memory 110, and based on the cognitive level, the processor 120 acquires an image. Configures a UI (User Interface) including at least one of the size of the text, the size of the text, and whether or not the one-touch lock mode is set for some UIs.

In the one-touch lock mode, even if the user touches the input/output module 130 once, the screen does not change immediately, and a prompt alarm is provided or an alarm requesting a re-touch is provided so that the screen is switched by a single touch. This is a limiting mode.

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

The configuration of the preset basic UI is a UI configuration that constitutes an application designed based on UX by a developer, and the preset ranking for each of a plurality of sub-UIs is operated by users who use the application for a certain period of time up to the present time. It is a ranking based on the number of times it is operated, and the higher the number of times it is operated, the higher the ranking.

The main UI is an essential UI constituting the application, and for example, a login button, a subject selection button, and a payment button correspond to the main UI.

Accordingly, the processor 120 reduces the number of steps in which a user needs to input a command when using an application by reducing the number of sub-UIs provided through the application as the recognition level of the user is low, thereby increasing It can relieve the burden.

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

At this time, as an embodiment, the processor 120 identifies the first output position of the first information on the input/output module 130, and arranges the second output position of the second information spaced apart from the first output position by a certain area. In this case, the predetermined area may be set in proportion to the amount of information per page limited based on the cognitive ability of one user.

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

In addition, 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 order of obtaining the user input. For the selection history, if the number of occurrences of the selection route is greater than or equal to the threshold value, it is possible to configure the UI based on the selection route.

In this case, the processor 120 stores the number of occurrences for each selected route by all users in the memory 110, and classifies the selected route having the highest number of occurrences for each cognitive ability as a standard route.

For one user, if a selected route whose number of occurrences is equal to or greater than the threshold value does not occur, the processor 120 identifies a standard route based on the cognitive ability of the user, configures a UI based on the identified standard route, and provides information to the user. can provide

Meanwhile, the processor 120 limits the amount of information per page based on the recognition level, and limits the total amount of the number of characters and images output per page based on the limited amount of information, as shown in FIG. 8 . However, it is possible to set the number of images output per page to a certain number or more according to the recognition level.

Accordingly, as shown in FIG. 9 , in providing a standard UI configuration to a user, the processor 120 obtains a user command for selection of a type of service provided through an application through the input/output module 130. In this case, a reference UI configuration that is a scenario for the type of acquired service is provided, a plurality of user commands are acquired accordingly, the user's cognitive abilities are identified based on the acquired user commands, and a UI suitable for the identified cognitive abilities is provided. configuration can be provided to the user.

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

In this case, the electronic device 100 may be any one of a user terminal (ex. smart phone, tablet, etc.) possessed by the user and a kiosk.

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

Then, in the control method of the server 200 for providing a UI configured according to the cognitive ability based on the method of using the interface for each individual, the server 200 obtains user information from the electronic device 100, and based on the obtained user information In this way, a recognition level of a user is acquired, and a UI provided to the user is configured based on the recognition level, thereby providing the configured UI to the user through the electronic device 100 .

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 may 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, a hard disk drive (HDD), or a solid state drive (SSD).

The communication unit 220 may 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, the Bluetooth chip, and the NFC chip perform communication in a LAN method, a WiFi method, a Bluetooth method, and an NFC method, respectively. In the case of using a Wi-Fi chip or a Bluetooth chip, various connection information such as an SSID and a session key is first transmitted and received, and various information can be transmitted and received after communication is connected using this. The wireless communication chip refers to a chip that performs communication according to various communication standards such as IEEE, ZigBee, 3rd Generation (3G), 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), and 5th Generation (5G).

The processor 230 may control overall operations of the server 200 using various programs stored in the memory 210 . The processor 230 may include a RAM, a ROM, a graphic processing unit, a main CPU, first through n interfaces, and a bus. At this time, the RAM, ROM, graphic 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, O/S is stored in RAM, and various application data selected by the user may be stored in RAM.

The ROM stores instruction sets for system booting. When a turn-on command is input and power is supplied, the main CPU copies the O/S stored in the memory 210 to the RAM according to the command stored in the ROM, and executes the O/S to boot the system. When booting is completed, 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 graphic processing unit uses a calculation unit (not shown) and a rendering unit (not shown) to create a screen including 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. of each object to be displayed according to the layout of the screen by using a control command received from the input unit. And, the rendering unit may be configured to generate screens of various layouts including objects based on the attribute values calculated by the calculation unit. The screen created by the 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 . In addition, the main CPU performs various operations using various programs, contents, data, etc. stored in the memory 210 .

The first through n interfaces are connected to the various components described above. One of the first through 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 graphic processor (not shown) and/or a connection path (eg, a bus) for transmitting and receiving signals to and from other components. can

Processor 230 according to one embodiment performs a 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 training data for which the labeled information is obtained with an accuracy equal to or higher than a predetermined first reference value is extracted, the extracted first training data is deleted from the new training data, and the new training data from which the extracted training data is deleted The learned model may be retrained using the training data.

Meanwhile, the processor 230 includes RAM (Random Access Memory, not shown) and ROM (Read-Only Memory) that temporarily and/or permanently store signals (or data) processed in the processor 230. , not shown) may be further included. In addition, 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 control of the processor 230 . Programs stored in the memory 210 may be divided into a plurality of modules according to functions.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

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

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

100: electronic device
110: memory
120: processor
130: I/O module
200: server
210: memory
220: Communication Department
230: processor

Claims (8)

Memory;
an input/output module that provides information to a user and obtains a user command; and
Including; a processor connected to the memory and the input/output module;
the processor,
Providing a preset basic user interface (UI) configuration to one user through the input/output module;
Obtaining a plurality of user inputs for the basic UI configuration through the input/output module;
Calculate an input time for the plurality of user inputs;
identify at least one usage UI used for the plurality of user inputs;
Calculate a UI use score for each of the identified use UIs;
Evaluate a cognitive level based on the input time and the UI use score,
store the cognitive level in the memory for the one user;
In calculating the input time, among the plurality of user inputs, a first time point at which a user command is input for the first time is identified, and a second time point at which a user command is last input with respect to the first time point among the plurality of user inputs. As identifying, calculating an input time, which is a time interval between the first time point and the second time point,
identifying selection information selected by the plurality of user inputs;
Calculating a first value that is the number of characters included in the identified selection information;
Identifying a first weight that is a preset weight for a character;
Calculating a second value that is the number of images included in the identified selection information;
Identifying a second weight that is a preset weight for an image;
Calculating a first weight by applying the first weight to the first value;
Calculate a second weight by applying the second weight to the second value;
Obtaining an amount of information based on the first weight and the second weight,
An electronic device that calculates an amount of information per unit time for the one user based on the input time and the amount of information. delete delete According to claim 1,
the processor,
Obtaining a reference amount of information per unit time pre-stored for the amount of information in the memory and a reference UI use score;
Based on the amount of information per unit time and the UI use score, calculating a similarity to the reference amount of information per unit time and the reference UI use score;
An electronic device that calculates a recognition level for the one user based on the calculated similarity. According to claim 1,
the processor,
Based on the plurality of user inputs, identifying at least one UI actually used by the one user among the basic UI configurations;
Identifying a predetermined use score proportional to the difficulty of use for each type of the identified UI;
An electronic device that calculates a UI use point for the one user based on a total sum of the identified use points. According to claim 5,
the processor,
calculating a required time 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;
Based on the calculated time required for each type of UI, the ranking of all types of UI is identified;
If at least one UI type having a preset score equal to or higher than a threshold value among all types of UIs is included in a certain high rank, a number proportional to the score of the UI type included in the certain high rank rank and having a preset score equal to or higher than the threshold value. 3 weights are applied to the UI usage score. According to claim 1,
the processor,
An electronic device that configures a user interface (UI) including at least one of image size, text size, and whether or not to set a one-touch lock mode for some UIs based on the recognition level. In the server control method,
providing, by the server, a preset basic user interface (UI) configuration to one user through the electronic device of claim 1;
obtaining, by the server, a plurality of user inputs for the basic UI configuration through the electronic device;
calculating, by the server, input times for the plurality of user inputs;
identifying, by the server, at least one use UI used for the plurality of user inputs;
calculating, by the server, a UI use score for each of the identified UIs; and
Evaluating, by the server, a cognitive level based on the input time and the UI use score;
The step of calculating the input time,
identifying a first point in time when a user command is first input among the plurality of user inputs;
among the plurality of user inputs, identifying a second point of time at which a user command is last input with respect to the first point of time; and
Further comprising calculating an input time, which is a time interval between the first time point and the second time point,
The control method of the server,
identifying selection information selected by the plurality of user inputs;
calculating a first value that is the number of characters included in the identified selection information;
identifying a first weight that is a preset weight for a character;
calculating a second value that is the number of images included in the identified selection information;
identifying a second weight that is a preset weight for an image;
calculating a first weight by applying the first weight to the first value;
calculating a second weight obtained by applying the second weight to the second value;
obtaining an amount of information based on the first weight and the second weight; and
Calculating an amount of information per unit time for the one user based on the input time and the amount of information; further comprising a server control method.

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