KR101706474B1 - Smartphone usage patterns gathering and processing system - Google Patents

Abstract

The present invention relates to a system and method for collecting a use amount of a smartphone used by a user to identify smartphone addiction of the user, wherein the smartphone includes a processor configured to process an instruction to execute an application, a communication unit configured to transmit/receive data while being connected to the Internet, a display unit configured to display visual information depending on the execution of the application, and a control unit configured to measure power consumption amounts of the processor, the communication unit, and the display unit at a predetermined time interval, identify the application executed in the smartphone, and collect a smartphone use amount of a user using the measured power consumption amounts. Further, the control unit determines that the user actually uses the smartphone at a first time when a power consumption amount of the display unit is not less than a predetermined power consumption amount at the first time. The system and method according to the present invention may measure the smartphone use amount of the user.

Description

{Smartphone usage patterns gathering and processing system}

The present invention relates to a smartphone usage behavior collecting and processing system, and more particularly, to a smartphone usage behavior collecting and processing system that collects and accumulates a user's daily smartphone usage amount and processes the user's daily smartphone usage amount ≪ / RTI >

Recently, the number of people using smartphones has increased greatly due to the development and spread of smart phones. The hardware and software of the smartphone have been dramatically evolving, and our lives have been diversified to a level that we can not imagine using various applications.

In addition to mobile phones, smart phones have many features such as computers, mp3s, and video players, and are enjoying the full popularity of modern people because of the advantages of being able to easily get the information they want anywhere, anytime, and entertainment.

Especially, the smart phone has a feature that the user can use the service which had to use the conventional PC through the development of the rapid performance recently and use it more frequently by the convenience that it can be used anytime and anywhere.

Users are able to use their smartphone in various ways such as phone, text messaging, calendar management, photo video music, e-mail, game and internet, and the rate of using smartphone per day is increasing.

As the population of smartphones increases, various types of applications are being developed, and the services offered to users are also diversified accordingly.

However, as the use of smartphones increases, the problem of smartphone addiction is occurring. At this time, the use of smartphone means to use the smartphone excessively enough to interfere with daily life, and it is likely to be a social problem because it includes the withdrawal symptom, the difficulty of daily life and the impulse control disorder.

Particularly, due to the increase in the use of social network service (SNS), excessive use of cyber media makes it difficult to communicate and interpersonal relationship through static one-to-one face-to-face relationship or to communicate with family and surrounding people There are also problems that cause difficulties.

Also, there are many students who do not concentrate on the class time because they are using smartphone, while they are watching the video on the street, watching the traffic lights, .

In addition, negative effects on health have been reported, such as turtle neck syndrome and sleep disorders, and mental health concerns are also a serious reality. According to studies of adverse effects on the development of addictions and social relationships in smartphones conducted for children and adolescents, it is said that obsessive compulsive disorder, depression, psychosis, anxiety, interpersonal affliction, paranoia, somatization, hostility, Especially, the effect of obsessive-compulsive and depressive on the addiction of smartphone is continuously reported.

The above-mentioned smartphone addiction has problems related to craving, withdrawal, tolerance, daily life disorder, and cyber-oriented relationship, and it has a tendency to cope with individual's stress, anxiety and depression, impulse control disorder, attention deficit hyperactivity disorder ADHD), and so on. Accordingly, various ideas for judging and preventing the addiction of smartphone have been proposed.

However, in the conventional solution, a method of collecting user's questionnaires is widely used, but there is a problem that the user's answer can not be completely trusted and the probability of error occurrence is high.

In addition, there is a problem in that the method of collecting log data collected from a smartphone has a problem of difficulty of application installation and error in collection, and it is difficult to statistically because of a large amount of data collected from many.

Therefore, in order to judge whether or not the smartphone is poisoned, when collecting the usage patterns of each user's smartphone, it is observed whether or not the smartphone is used in real time, and data is collected about whether the user is using the actual smartphone. There is a need for a smartphone usage behavior acquisition and processing system and method that can be used by preprocessing and processing data.

Korea Patent Office Registration No. 10-1464190 Korean Patent Application Publication No. 10-2014-0069404 Patent application title:

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a system and a method for measuring a user's use of a smartphone in real time.

In addition, a system and method for measuring a user's smartphone usage with minimized error are provided to the user.

The present invention also provides a system and method for efficiently summarizing smartphone usage metrics collected by a user.

The present invention also provides a system and method for users to preprocess a smartphone usage metric collected by a user for statistical analysis.

The present invention also provides a system and method for processing collected smartphone usage patterns of a user.

In addition, the present invention provides a system and a method for determining criteria for determining whether a smartphone is used or not by using collected smartphone usage patterns.

In addition, we want to provide users with a system and method for constantly updating the criteria for judging whether a smartphone is used or not.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are not intended to limit the invention to the precise form disclosed. It can be understood.

In order to solve the above-mentioned problems, a smartphone usage collection system for use by a user for confirming a smartphone addiction of a user includes a processor for processing a command to execute an application, A display unit for displaying time information according to the execution of the application, and a display unit for measuring the power consumption of the processor, the communication unit, and the display unit at predetermined intervals, And collects the smartphone usage amount of the user using the measured power usage amount. Wherein the control unit determines that the user actually uses the smartphone at the first time when the power consumption of the display unit at the first time is equal to or greater than a predetermined power usage amount, At least one of the use time, the usage period and the use frequency of the smartphone is determined by using the usage time, the use frequency and the use frequency of the smart phone, And a memory for storing first information including a name and a category of the application.

And a server for transmitting the first information stored in the memory, wherein the server further comprises a server for transmitting the first information to the user who transmitted the first information, a plurality of users including the user , Classifying at least one of a daily usage amount of a specific user group among the plurality of users, a usage amount of each application included in the first information, and an application usage amount of each category included in the first information, 1 information can be stored in the database.

In addition, the smartphone transmits the collected first information to the server at predetermined intervals, and the server receives the first information received every predetermined period for determination of a criterion for discrimination between a smartphone and a user May be statistically analyzed using the normal distribution and the first information may be used to statistically calculate the average of the smartphone usage.

In addition, the server transmits a criterion for discrimination between a smartphone and a user to the smartphone, and the smartphone compares the received first criterion with the first information, The addiction scale of the smartphone, the temperament according to compensation sensitivity, the temperament according to the motive system, the level of impulsivity and the level of self control.

In addition, the server may update a criterion for discrimination between a smartphone and a user by using the statisticalized first information every predetermined period.

The present invention can provide a user with a system and method for measuring smartphone usage of a user in real time.

It is also possible to provide a user with a system and method for measuring smartphone usage of a user with minimal error.

In addition, a system and method for efficiently summarizing smartphone usage metrics of the collected users can be provided to the user.

It is also possible to provide a user with a system and method for preprocessing a user's smartphone usage metric collected for statistical analysis.

In addition, a system and method for processing collected smartphone usage behavior of a user can be provided to a user.

In addition, a system and a method for determining criteria for judging whether a smartphone is used or not can be provided to a user using the collected smartphone usage behavior.

In addition, it is possible to provide a system and a method for continuously updating a criterion for judging whether or not a smartphone is used.

It should be understood, however, that the effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those skilled in the art to which the present invention belongs It will be possible.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate a preferred embodiment of the invention and, together with the description, serve to provide a further understanding of the technical idea of the invention, It should not be construed as limited.
Fig. 1 shows an example of a smartphone usage behavior acquisition system that can be applied to the present invention.
2 shows an example of a smartphone block also applicable to the present invention.
3 is a flow diagram of a smartphone usage behavior collection method that may be applied to the present invention.
4A and 4B are data on smartphone usage behavior collected according to the present invention.
5A to 5C are data summarizing smartphone usage behavior collected according to the present invention.
6A and 6B are graphs illustrating smartphone usage behaviors of a plurality of users collected according to the present invention.
FIGS. 7A to 7D are graphs illustrating a smartphone usage behavior for a plurality of users collected according to the present invention, and are limited to SMU subjects.
8A to 8D are graphs illustrating smartphone usage behaviors for a plurality of users collected according to the present invention, which are limited to selected risk groups.
9A to 9C show an example of characteristics of each user by processing a smartphone usage behavior regarding the user according to the present invention.
FIGS. 10A and 10B illustrate an example of analyzing usage amounts for each application by processing smartphone usage patterns of a plurality of users collected according to the present invention.
FIGS. 11A and 11B illustrate an example of analyzing a smartphone game use behavior by processing a smartphone use behavior of a plurality of users collected according to the present invention.
12A to 12D illustrate an example of analyzing smartphone usage by processing smartphone usage patterns of a plurality of users collected according to the present invention.
Figure 13 is a flow diagram of a collected smartphone usage behavior processing method that may be applied to the present invention.

In recent years, people are increasingly using smartphones, and the problem of smartphone addiction is occurring. At this time, the use of smartphone means to use the smartphone excessively enough to interfere with daily life, and it is likely to be a social problem because it includes the withdrawal symptom, the difficulty of daily life and the impulse control disorder.

As for the addiction of smartphone, there are various ideas for judging and preventing the addiction of smartphone continuously. However, there is a problem that the user's answer is not completely reliable and the probability of error is high, There is a problem in that the method of collecting the log data collected from the smartphone has a problem of difficulty of application installation and error in collection and it is difficult to statistically because of a large amount of data collected from many.

Therefore, in order to judge whether or not the smartphone is poisoned, when collecting the usage patterns of each user's smartphone, it is observed whether or not the smartphone is used in real time, and data is collected about whether the user is using the actual smartphone. There is a need for a smartphone usage behavior acquisition and processing system and method that can pre-process and process data.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a method and apparatus for measuring a smartphone usage of a user in real time, measuring a smartphone usage of a user with minimized error, , And a system and method for preprocessing a user's smartphone usage metric collected for statistical analysis and processing a preprocessed smartphone usage metric.

Hereinafter, a preferred embodiment of the present invention will be described with reference to the drawings. In addition, the embodiment described below does not unduly limit the contents of the present invention described in the claims, and the entire configuration described in this embodiment is not necessarily essential as the solution means of the present invention.

<Configuration>

Fig. 1 shows an example of a smartphone usage behavior acquisition system that can be applied to the present invention.

Referring to FIG. 1, a system that can be applied to the present invention may include a smart phone 100, a server 200, and the Internet 300.

The smartphone 100 referred to herein may include a mobile tablet and the like in addition to a commonly used smart phone.

The smartphone usage behavior of the user collected in the smartphone 100 used by the user can be stored in the smartphone 100 and transmitted to the server 200 via the Internet 300. [ This can be transmitted to the server 200 in real time and stored in the smartphone 100 and then transmitted to the server 200 and can be transmitted to the server 200 after being preprocessed in the smartphone 100. The server 200 can receive and process the usage behavior before being processed in the smartphone 100, and can transmit and process the processed usage behavior.

2 shows an example of a smartphone block also applicable to the present invention.

2, a smartphone 100 according to the present invention includes a wireless communication unit 110, a camera 120, a user input unit 130, an output unit 150, a memory 160, a controller 180, , And a power supply unit 190.

The wireless communication unit 110 may include one or more modules for enabling wireless communication between the smartphone 100 and the wireless communication system or between the smartphone 100 and the network in which the smartphone 100 is located.

For example, the wireless communication unit 110 may include a mobile communication module 112, a wireless Internet module 113, a short distance communication module 114, a location information module 115, and the like.

The mobile communication module 112 transmits and receives a radio signal to at least one of a base station, an external smart phone 100, and a server 200 on a mobile communication network. The wireless Internet module 113 is a module for wireless Internet access, and may be embedded in or externally attached to the smartphone 100.

The wireless Internet module 113 is a module for wireless Internet access, and may be embedded in or externally attached to the smartphone 100.

WLAN (Wi-Fi), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access) and the like can be used as the technology of the wireless Internet.

The short-range communication module 114 refers to a module for short-range communication. Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and the like can be used as the short range communication technology.

The position information module 115 is a module for obtaining the position of the smartphone 100, and a representative example thereof is a Global Position System (GPS) module.

According to the present technology, the GPS module 115 calculates distance information and accurate time information from three or more satellites, and then applies a trigonometric method to the calculated information to calculate a three-dimensional current position according to latitude, longitude, Information can be accurately calculated.

At present, a method of calculating position and time information using three satellites and correcting an error of the calculated position and time information using another satellite is widely used. In addition, the GPS module 115 can calculate speed information by continuously calculating the current position in real time.

The camera 120 processes image frames such as still images or moving images obtained by the image sensor in the video communication mode or the photographing mode. The processed image frame can be displayed on the display unit 151. [

The image of the item to be sold can be obtained through the camera 120, and the control unit 180 can extract information on the item to be sold using the obtained image. The extracted information may include the type, state, classification, product name, category, etc. of the product.

The user input unit 130 generates input data for controlling the operation of the smartphone 100.

The user input unit 130 may receive from the user a signal designating two or more contents among the displayed contents according to the present invention. A signal for designating two or more contents may be received via the touch input, or may be received via the hard key and soft key input.

The user input unit 130 may receive an input from the user for selecting the one or more contents. In addition, it may receive an input from a user to create an icon associated with a function that the smartphone 100 can perform.

The user input unit 130 may include a directional keypad, a keypad, a dome switch, a touchpad (static / static), a jog wheel, a jog switch, and the like.

The output unit 150 may include a display unit 151, an audio output module 152, an alarm unit 153, a haptic module 154, and the like, for generating output related to visual, auditory, have.

The display unit 151 displays information processed in the smartphone 100.

For example, a UI (User Interface) or a GUI (Graphic User Interface) associated with the interruption of the smartphone 100 is displayed.

In addition, the display unit 151 according to the present invention supports 2D and 3D display modes.

The display unit 151 may be a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display display, and a 3D display.

Some of these displays may be transparent or light transmissive so that they can be seen through. This can be referred to as a transparent display, and a typical example of the transparent display is TOLED (Transparent OLED) and the like. The rear structure of the display unit 151 may also be of a light transmission type. With this structure, the user can see objects located behind the body of the smartphone 100 through the area occupied by the display unit 151 of the smartphone 100 body.

The audio output module 152 may output audio data received from the wireless communication unit 110 or stored in the memory 160 in a recording mode, a voice recognition mode, a broadcast receiving mode, or the like.

The sound output module 152 also outputs sound signals related to functions performed in the smartphone 100. The sound output module 1152 may include a receiver, a speaker, a buzzer, and the like.

The alarm unit 153 outputs a signal for notifying the occurrence of an event of the smartphone 100.

The alarm unit 153 may output a signal for notifying the occurrence of an event in a form other than the video signal or the audio signal, for example, vibration. In this case, the display unit 151 and the audio output module 152 may be a type of the alarm unit 153. The display unit 151 and the audio output module 152 may be connected to the display unit 151 or the audio output module 152, .

The haptic module 154 generates various tactile effects that the user can feel. A typical example of the haptic effect generated by the haptic module 154 is vibration.

The intensity and pattern of the vibration generated by the haptic module 154 are controllable. For example, different vibrations may be synthesized and output or sequentially output.

In addition to the vibration, the haptic module 154 may include a pin arrangement vertically moving with respect to the contact skin surface, a spraying force or a suction force of the air through the injection port or the suction port, a touch on the skin surface, contact with an electrode, And various tactile effects such as an effect of reproducing a cold sensation using an endothermic or exothermic element can be generated.

The haptic module 154 can be implemented not only to transmit the tactile effect through the direct contact but also to allow the user to feel the tactile effect through the muscular sensation of the finger or arm.

The memory 160 may store a program for processing and controlling the controller 180, and may perform functions for temporary storage of input / output data. The memory 160 may also store the frequency of use of each of the data. In addition, the memory unit 160 may store data on vibration and sound of various patterns output when the touch is input on the touch screen.

The memory 160 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory, etc.) ), A random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read- A magnetic disk, an optical disk, a memory, a magnetic disk, or an optical disk. The smartphone 100 may operate in association with a web storage that performs storage functions of the memory 160 on the Internet.

The controller 180 typically controls the overall operation of the smartphone 100.

The control unit 180 may include a multimedia module for multimedia playback. The multimedia module may be implemented in the control unit 180 or separately from the control unit 180.

The control unit 180 measures the power consumption of the processor, the communication unit 110 and the display unit 150 at predetermined time intervals, confirms the application being executed in the smartphone 100, You can collect your smartphone usage.

At this time, if the power consumption of the display unit 150 is equal to or greater than a predetermined power consumption amount, the controller 180 may determine that the smartphone is actually used at the time of collection of the user.

The control unit 180 may determine the use time, the usage period, and the use frequency of the smartphone by using the fact that the power consumption of the display unit 150 is switched to a predetermined power usage amount or less.

The control unit 180 may exclude the operation of the application performed in the background from the collected smartphone use behavior and usage amount. The power consumption of the display unit 150 may be used as a reference. This is because, when the user views the display unit 150, it can be determined that the smartphone is actually used.

However, it is possible to determine that the user is using the smartphone 100 even when the power consumption of the display unit 150 is less than a preset reference, using the name and category of the application being executed. This is because some applications are executed in the background by the user.

The control unit 180 may collect power consumption of the processor, the communication unit 110, and the display unit 150 at a predetermined time period. In this case, the predetermined time may vary, and in the case of the present invention, 5 seconds is most preferable. If it is longer than 5 seconds, there may be an error in determining whether the actual user is using the smartphone 100, and if it is shorter than 5 seconds, too much data may be collected and processed, Because.

The control unit 180 determines the use time, the usage period, and the use frequency of the smart phone using the collected power consumption of the processor, the communication unit 110, and the display unit 150 of the smart phone, Information can be extracted.

The control unit 180 may process the collected smartphone usage behavior based on the smartphone addiction criteria pre-stored in the memory 160. For example, the smartphone addiction scale SAS can be used to process data to determine whether a smartphone is addicted. The collected smartphone usage patterns can be graphically displayed according to the smartphone addiction patient criteria classified through the SAS questionnaire.

The control unit 180 processes the smartphone according to the collected smartphone usage behavior criterion so that the user who uses the smartphone 100 can determine in real time whether the user currently using the smartphone 100 is a smartphone addiction patient .

The control unit 180 may statistically collect the acquired smartphone usage behavior in a predetermined time period, and may process the smartphone addiction patient standard using the statistical smartphone usage behavior.

The controller 180 can process the collected smartphone usage data for each set period by extracting and converting the data accumulated by the individual and the whole user or the specific user group designated by the researcher into daily usage, have.

The application categories may include social networks, web / internet, games, entertainment, shopping, and pictures. In particular, application categories can be sorted in relation to smartphone addiction, and categories such as finance, transportation, business, education, and medical care can be excluded from usage items without being classified.

The control unit 180 can process the smartphone usage behavior to enable the self-management monitoring of the amount of smartphone usage and to recognize or warn the user of the excessive use of the system.

The control unit 180 can process the smartphone usage behavior so that it can be clinically used for diagnosing and treating the smartphone addiction.

The control unit 180 may process the collected smartphone usage behavior to establish a criterion for determining whether or not the smartphone is poisoned. For example, the smartphone usage pattern can be statistically determined using a normal distribution, and the smart phone usage criterion can be determined using a method of calculating an average of smartphone usage patterns.

The control unit 180 compares the criterion of smartphone poisoning and the user's smartphone usage to determine whether the user is addicted to the Internet, the smartphone addiction scale, the temperament depending on the compensation sensitivity, the temperament, the impulsivity level and the self- Can be measured.

The controller 180 may process the smartphone usage behavior of the user so as to compare the average usage amount of the addictor with the usage amount of the current user for the self-management or diagnosis.

The control unit 180 may process the smartphone usage behavior so that the integrated database can be constructed by merging the smart phone usage behavior of the user with the data on the smartphone addiction obtained in the clinic and the image (CT, MRI) data.

Also, the power supply unit 190 receives external power and internal power under the control of the controller 180, and supplies power necessary for operation of the respective components.

The server 200 may include a communication unit 210, an output unit 220, a database 230, an interface unit 240, and a control unit 250.

The server 200 may be implemented in the form of a Web server or a WAP server disposed in a wired / wireless Internet network. Such a web server or a wap server is generally connected to an open computer network such as the Internet A computer system connected to an unspecified number of client smartphone 100 and / or another server, receiving a request for performing a work of a client or another web server and deriving a result of the work, and providing computer software Web server program). However, in addition to the above-described web server program, a series of application programs for the smartphone usage behavior collecting system according to the present invention operating on the web server and various databases built in the case It should be understood as a broad concept.

The server 200 may use a web server program that is variously provided according to operating systems such as DOS, Windows, Linux, UNIX, and Macintosh to general server hardware Typical examples include a Web site used in a Windows environment, an Internet Information Server (IIS), and CERN, NCSA, and APPACH used in a UNIX environment.

The communication unit 210 is a module for connecting the server 200 to the Internet 300 via wire / wireless. These wired / wireless Internet networks are composed of various services existing in the upper layer of the TCP / IP protocol such as HyperText Transfer Protocol (HTTP), Telnet, File Transfer Protocol (FTP), Domain Name System (DNS), Simple Mail Transfer Protocol , Simple Network Management Protocol (SNMP), Network File Service (NFS), and Network Information Service (NIS). In this case, as a technology of a wireless Internet, a WLAN (Wireless LAN) (Wi-Fi), a Wibro (Wireless broadband), a Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access)

In the case of a wireless Internet, data communication between the smartphone 100 and the server 200 is enabled via a wireless Internet protocol such as a wireless application protocol (WAP) and a mobile communication network. (IWF), a WAP gateway, and the like, which connect a mobile communication network with a wired Internet network, in addition to a mobile communication network including a mobile switching center (MSC) It should be implemented in a form suitable for the wireless Internet protocol such as a server (WAP Server).

The output unit 220 displays or outputs information to be processed by the server 200. For example, a UI (User Interface) or a GUI (Graphic User Interface) related to the control of the server 200.

The database 230 stores data relating to the operation of the smartphone usage behavior collection system. As an example, information on the user of the smartphone 100 connected to the server 200, usage time, usage period and use frequency of each smartphone 100 of the user, name of the application running on the smartphone 100 And categories. The information related to the user of the smartphone 100 may include information such as sex, age, hobby and interest information of the user, identification information of the smartphone 100 accessed by the user, And the like.

The interface unit 240 includes an input / output device for controlling the operation of the server 200.

The control unit 250 controls the entire operation of the server 200 for the operation of the smartphone usage behavior collecting system.

The controller 250 may process the collected smartphone usage behavior based on the smartphone addiction criteria previously stored in the memory 160. For example, the smartphone addiction scale SAS can be used to process data to determine whether a smartphone is addicted. The collected smartphone usage patterns can be graphically displayed according to the smartphone addiction patient criteria classified through the SAS questionnaire.

The control unit 250 processes the smartphone according to the collected smartphone usage behavior criterion so that the user who uses the smartphone 100 currently can judge whether or not the user is present in the smartphone addiction patient, .

The control unit 250 may statistically collect the collected smartphone usage behavior in a predetermined time period, and may process the smartphone addiction patient standard using the statistical smartphone usage behavior.

The control unit 250 can process the collected smartphone usage data by using the accumulated data for each set period by the individual and the whole, or by the daily usage of the specific user group designated by the researcher, the usage amount for each application, and the usage amount for each category have.

The control unit 250 can process the smartphone usage behavior so that it can be clinically used for diagnosis and treatment of the smartphone addiction.

The control unit 250 may process the collected smartphone usage behavior to establish a criterion for determining whether or not the smartphone is addicted. For example, the smartphone usage pattern can be statistically determined using a normal distribution, and the smart phone usage criterion can be determined using a method of calculating an average of smartphone usage patterns.

The control unit 250 compares the smartphone poisoning determination criteria with the user's smartphone use behavior to determine whether the game is addicted to the Internet, the smartphone addiction scale, the temperament according to the compensation sensitivity, the temperament, the impulsivity level, Can be measured.

The control unit 250 may process the smartphone usage behavior of the user so as to compare the average usage amount of the addictor with the usage amount of the current user for the total average usage amount for self-management or diagnosis.

The control unit 250 may process the smartphone usage behavior so that the integrated database can be constructed by merging the smart phone use behavior of the user with the data on the smartphone addiction obtained in the clinic and the image (CT, MRI) data.

The control unit 250 may update the criterion for determining the smartphone addiction using the smartphone usage behavior collected from a plurality of users received and accumulated every predetermined period.

The control unit 250 compares the smartphone usage patterns collected from the plurality of received smartphones, and calculates the usage time, usage period and usage count of the smart phone, the name and category of the application being executed, Name and category, use time for each application, use period, and use frequency.

<Smartphone Usage Behavior Collection Method>

FIG. 3 is a flow chart of a smartphone usage behavior collecting method that can be applied to the present invention, FIGS. 4A and 4B are data on a smartphone usage behavior collected according to the present invention, and FIGS. This is a summary of the smartphone usage patterns collected according to.

3, the smartphone usage behavior collecting method is a method in which the controller 180 of the smartphone 100 measures the power consumption of the processor, the communication unit 110, and the display unit 150 at predetermined time intervals, (S110). In this case, the predetermined time is preferably 5 seconds.

The control unit 180 stores the measured power consumption and the name of the application being executed in the memory together with the first time (S120). In this case, the first time is the time when the power consumption is measured in real time. Referring to FIGS. 4A and 4B, the power consumption measured by the smartphone and the application name are stored in the memory together with the time when the power consumption is measured.

The control unit 180 determines whether the user actually uses the smartphone at the first time using the amount of power consumption (S130). At this time, if the power consumption of the display unit 150 is equal to or greater than the preset power consumption amount at the first time, the controller 180 can determine that the user actually uses the smartphone at the first time. This makes it possible to reduce the error of the user's smartphone usage behavior due to the application being executed in the background.

The controller 180 stores the first information including the use time, the usage period and the number of times of use of the smartphone 100, the name of the application being executed, and the category in the memory 160 (S140). 5A to 5C, the control unit 180 determines whether or not the usage time, usage period, and usage time of the smartphone 100 of the user, using the power consumption of the display unit 150, The number of times of use can be determined. And can generate summary information about the smartphone usage behavior of the user.

The control unit 180 deletes the amount of power stored in the memory 160 (S150). Since the conventional stored power consumption occupies a large capacity of the memory 160 as RAW data, it is deleted after extracting the smartphone usage behavior of the user. This reduces memory usage to 10%.

The control unit 180 transmits the first information stored in the memory 160 to the server 200 (S160). The server 200 collects and classifies smartphone usage patterns of a plurality of users to determine whether smartphone addiction has occurred or not.

The server 200 may be configured to store the usage amount per user, the total usage amount of a specific user group among a plurality of users, the usage amount per application included in the first information, and the application by category included in the first information, (S170). The server 200 classifies smartphone usage patterns of a plurality of users and provides statistics for establishing a criterion for determining whether or not the user is addicted to the smartphone.

The server 200 stores the sorted first information in the database 230 (S180).

<Examples of Smartphone usage patterns>

6A and 6B are graphs illustrating smartphone usage behaviors of a plurality of users collected according to the present invention.

Referring to FIGS. 6A and 6B, smartphone usage patterns of a plurality of users can be classified using a smartphone addiction scale (SAS) developed and used clinically and converted into a graph have. At this time, SAS may include the level of addiction to internet game, the scale of addiction to smartphone, temperament due to compensation sensitivity, temperament according to the motive system, impulsiveness level and self control level. In addition, the use time, the use frequency and the number of use of the smartphone, the name and category of the application being executed, the name and category of the installed application, the usage time per application, the usage frequency, Can be classified.

FIGS. 7A to 7D are graphs illustrating a smartphone usage behavior for a plurality of users collected according to the present invention, and are limited to SMU subjects.

Referring to FIGS. 7A to 7D, SMU subjects can be extracted from the smartphone usage patterns of a plurality of collected users, and usage patterns of SMU subjects can be classified and converted into graphs. At this time, it can be classified to include internet game addiction, smartphone addiction scale, temperament due to compensation sensitivity, temperament according to the motive system, impulsiveness level, and self control level. In SMU subjects, the use time, the use frequency and the number of times of use of the smart phone, the name and category of the application being executed, the installed application name and category, the usage time by each application, the usage frequency, Based risk groups. In addition, SMU subjects can classify application installation type, usage type, and usage time.

8A to 8D are graphs illustrating smartphone usage behaviors for a plurality of users collected according to the present invention, which are limited to selected risk groups.

Referring to FIGS. 8A to 8D, SMU subjects can be extracted from the smartphone usage patterns of a plurality of collected users, and the SMU subjects can also select a risk group. The usage patterns of risk groups among SMU subjects can be classified and converted into graphs. At this time, it can be classified to include internet game addiction, smartphone addiction scale, temperament due to compensation sensitivity, temperament according to the motive system, impulsiveness level, and self control level. Also, in the risk group among the SMU subjects, the use time of the smart phone, the use frequency and number of use, the name and category of the application being executed, the name and category of the installed application, the usage time by each application, And SAS-based risk groups. Also, it is possible to classify the application installation type, usage type, and usage time of the risk group among SMU subjects.

9A to 9C show an example of characteristics of each user by processing a smartphone usage behavior regarding the user according to the present invention.

9A to 9C, characteristics of individual users can be extracted and classified. At this time, it may include an application installation date of each user, a usage amount per application, personal characteristics information, a date, an application usage time period by time, an application usage type, and the like.

FIGS. 10A and 10B illustrate an example of analyzing usage amounts for each application by processing smartphone usage patterns of a plurality of users collected according to the present invention.

Referring to FIGS. 10A and 10B, it is possible to analyze the usage amount for each smartphone application in a smartphone usage pattern collected from a plurality of users, compare each application and extract the most used time, the longest time usage, can do. In addition, application ranks and categories with the highest usage can be extracted.

FIGS. 11A and 11B illustrate an example of analyzing a smartphone game use behavior by processing a smartphone use behavior of a plurality of users collected according to the present invention.

11A and 11B, the usage amount for each smartphone application can be analyzed in a smartphone usage pattern collected from a plurality of users, and the number of applications, the amount of usage, the usage amount per hour, the game genre, .

12A to 12D illustrate an example of analyzing smartphone usage by processing smartphone usage patterns of a plurality of users collected according to the present invention.

Referring to FIGS. 12A to 12D, the smartphone usage patterns obtained from a plurality of users can be processed to identify the distribution of risk groups by age group, sex, and job type, and analysis results can be confirmed using the S-scale. The usage amount can be compared and judged. Through this, it is possible to confirm the actual usage of smartphone users, collect usage patterns, judge whether they are addicted to smartphones, and prepare countermeasures.

<Processing method of collected Smartphone usage behavior>

Figure 13 is a flow diagram of a collected smartphone usage behavior processing method that may be applied to the present invention.

Referring to FIG. 13, in the collected smartphone usage behavior processing method, the smartphone collects the use time of the smartphone, the usage period, the number of times of use, the name of the application being executed, and the category to generate first information (S210) It starts.

After the first information is generated, the smartphone 100 transmits the first information to the server (S220). At this time, the smart phone can transmit the collected first information directly to the server 200, and can transmit it to the server after the preprocessing or processing.

After the first information is transmitted to the server, the server 200 statistically (S230) the first information using the normal distribution. The server statizes the first information in order to establish a standard for judging whether or not the smartphone is poisoned. At this time, statistical analysis can be performed using the normal distribution.

The server 200 calculates the average of the smartphone usage using the statistical first information (S240), and the server determines a criterion for discriminating the smartphone user using the average of the smartphone usage (S250) . The criterion for determining the smartphone and the user determined at this time is used for judging users' smartphone addiction in the server 200 or the smartphone 100.

The server transmits a criterion for discriminating the smartphone and the user to the smartphone (S260). In addition, the smartphone compares the first information with the first information, and measures the level of self-control (S270), the temperament, the impulsivity level and the self-control level according to the Internet game addiction, the smartphone addiction scale, The smartphone usage behavior can be processed.

The various embodiments described herein may be implemented in a recording medium readable by a computer or similar device using, for example, software, hardware, or a combination thereof.

According to a hardware implementation, the embodiments described herein may be implemented as application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays May be implemented using at least one of a processor, controllers, micro-controllers, microprocessors, and other electronic units for performing other functions. In some cases, The embodiments described may be implemented by the control unit 180, 250 itself.

According to a software implementation, embodiments such as the procedures and functions described herein may be implemented with separate software modules. Each of the software modules may perform one or more of the functions and operations described herein. Software code can be implemented in a software application written in a suitable programming language. The software codes may be stored in the memory 160 or the database 230 and executed by the control units 180 and 250. [

Using the smartphone usage behavior collecting system and method as described above, it is possible to measure the smartphone usage of the user in real time, measure the smartphone usage of the user with minimized error, , And preprocess the collected smartphone usage metrics for the statistical analysis.

100a: Smartphone,
100b: mobile tablet,
200: Server
300: Internet

Claims (5)

A system for collecting usage information of a smartphone used by a user for confirming a user's smartphone addiction,
The smartphone used by the user may be,
A processor for processing instructions to execute the application;
A communication unit connected to the Internet for transmitting and receiving data;
A display unit for displaying time information according to execution of an application; And
A controller for measuring the power consumption of the processor, the communication unit, and the display unit at predetermined intervals, checking the application running on the smartphone, and collecting the smartphone usage of the user using the measured power usage; Includes.
Wherein,
When the power consumption of the display unit at the first time is equal to or greater than a predetermined power consumption amount, the user determines that the smartphone is actually used at the first time,
At least one of a use time, a usage period, and a use frequency of the smartphone is determined by using the stored power consumption of the display unit to be greater than or less than a predetermined power usage amount,
And a memory for storing first information including at least one of a use time, a usage period, and a use frequency of the smart phone, and a name and a category of the application being executed in the smart phone,
And a server for transmitting the first information stored in the memory,
The server comprises:
The method according to any one of claims 1 to 3, wherein the first information is transmitted to the user who transmitted the first information, the entirety of the plurality of users including the user, the daily usage amount of the specific user group among the plurality of users, An amount of usage and an application usage amount per category included in the first information, and stores the classified first information in a database,
In the smartphone,
Transmitting the collected first information to the server at predetermined intervals,
The server comprises:
The first information received for each predetermined period is determined using a normal distribution to determine a criterion for discriminating a user from the smartphone, and the first information, which is statistically calculated to calculate an average of the smartphone usage, is used and,
The server comprises:
The smart phone and the criteria for discriminating the user are transmitted to the smartphone,
In the smartphone,
Comparing the received criterion with the first information, measuring whether the game is addicted to the Internet game and whether the addicted game is a smartphone, classifying the addictive group,
Wherein the at least one of the plurality of users compares a temperament, an impulsivity level, and a self-control level according to a temperament, a motive system, and a self-control level according to the reward sensitivity of the user in the addictive group.
delete delete delete The method according to claim 1,
The server comprises:
A smartphone usage collection and processing system according to claim 1, wherein the smartphone user identification system updates the smartphone user identification system using the statisticalized first information every predetermined period.

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