KR101829606B1 - Apparatus and method for diagnostic of internet overflow - Google Patents

Apparatus and method for diagnostic of internet overflow Download PDF

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KR101829606B1
KR101829606B1 KR1020150180604A KR20150180604A KR101829606B1 KR 101829606 B1 KR101829606 B1 KR 101829606B1 KR 1020150180604 A KR1020150180604 A KR 1020150180604A KR 20150180604 A KR20150180604 A KR 20150180604A KR 101829606 B1 KR101829606 B1 KR 101829606B1
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user
evaluation
internet
emotion
immersion
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KR1020150180604A
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KR20160105286A (en
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남기춘
최기홍
정재범
한덕현
김선미
류재춘
박용천
제갈은주
이현우
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고려대학교 산학협력단
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4082—Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
    • A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
    • G06F19/34—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The present invention includes a processor that executes a program and a memory in which the Internet and the immersion diagnostic program are stored. At this time, the processor performs emotion evaluation and perception evaluation for the user according to the execution of the program, and based on the result data on the emotion evaluation performed and the perceived evaluation result, The emotional evaluation evaluates the user 's cognitive ability on the emotions, and the cognitive evaluation evaluates the user' s memory, executive ability and athletic ability.

Description

[0001] APPARATUS AND METHOD FOR DIAGNOSTIC OF INTERNET OVERFLOW [0002]

The present invention relates to an Internet and an immersion diagnostic apparatus and method.

The increasing use of the Internet and smart phones has led to the acceleration of knowledge informatization society and has brought about revolutionary changes throughout life such as politics, economy, society and culture. However, on the other hand, internet and flow over the internet become a serious social problem because of excessive use of the internet.

The internet and immersion are called internet addiction by applying the concept of drug addiction to the internet in psychopathology. Early Internet and immersion meant intimacy and immersion in Internet games. Recently, however, they have been used extensively with the Internet, pornography, shopping, smart phones and social networks.

The main symptom of internet and immersion is daily living disability, reality discrimination disorder, withdrawal phenomenon, virtual interpersonal relationship, deviant behavior and tolerance. Because of these symptoms, the Internet and immersion can be caused by social problems such as personality disorder, depression, mental illness, social bullying, seclusion, and avoidance of interpersonal abuse. This can be a serious problem that impedes the mental and social growth of adolescents, which is important for the formation of personality and sociality. Especially, the Internet and immersions are spreading rapidly in Korea where the Internet population is large and smartphone penetration rate is high.

The Internet and immersion diagnostic tools include Kimberly S. Young's Young's scale and the Korean Internet Self-Assessment Scale (K-scale) developed by Korea Information & Culture Promotion Agency based on Young's scale. Such conventional Internet and immersion diagnostic tools have a limit to discriminate between the Internet and immersion by using only a subjective questionnaire response of a user on a single test scale for symptom.

Korean Patent Registration No. 10-1141524 entitled "Internet Addiction Diagnosis Device Using Expert System, Treatment Inference Device and Treatment System") discloses an Internet addiction diagnosis and treatment using an expert system And the like. Specifically, the present invention analyzes internet use history and user characteristics information based on a data mining-based diagnosis unit, a knowledge base, and an inference engine to diagnose Internet addiction as a high-risk state, a potentially dangerous state, and a normal state. The present invention also provides a treatment plan for diagnosis results according to a treatment plan stored in a knowledge base.

It is an object of the present invention to provide an apparatus and method for diagnosing internet and immersion for a user.

It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to a first aspect of the present invention, there is provided an apparatus for diagnosing internet and immersion for a user, which comprises a processor for executing a program and a memory in which an Internet and an immersion diagnostic program are stored, Performs emotion evaluation and perception evaluation on the user according to the execution of the program and discriminates whether or not the user is immersed in the internet based on the result data on the emotion evaluation performed and the result data on the perceived evaluation performed, Based on the discriminated Internet and immersion, the contents to be promoted are provided. At this time, the emotion evaluation evaluates the recognition ability of the user's emotions, and the cognitive evaluation evaluates the user's memory, execution ability, and athletic performance.

According to a second aspect of the present invention, there is provided an Internet and an immersion diagnostic method in an Internet and an immersion diagnostic apparatus, the method comprising: performing emotion evaluation on a user; Performing a cognitive evaluation on a user; And determining whether the user is immersed in the Internet based on the result data on the emotion evaluation performed and the result data on the perceived evaluation performed; And providing promotion direction recommendation contents based on the discriminated internet and immersion. At this time, the emotion evaluation evaluates the recognition ability of the user's emotions, and the cognitive evaluation evaluates the user's memory, execution ability, and athletic performance.

According to any one of the above-mentioned problem solving means, the present invention can discriminate whether or not to immerse on the Internet based on emotion, recognition, and offline evaluation. Therefore, compared to the subjective survey-based Internet and immersion diagnostic tools of the existing users, the present invention can be applied to a variety of problems such as subjective judgment, intentional deception deliberately concealing facts, recall bias that exaggerates situations, Can be minimized. In addition, the present invention facilitates multidimensional analysis through various evaluation methods, and can enhance diagnosis and analysis reliability.

1 is a block diagram of an Internet and immersion diagnostic apparatus according to an embodiment of the present invention.
FIG. 2 is an exemplary diagram illustrating a resultant analysis of a target user according to an embodiment of the present invention.
3 is an exemplary diagram for evaluating a discrimination result based on a Bayesian network according to an embodiment of the present invention.
4 is a block diagram of an Internet and immersion diagnostic program according to an embodiment of the present invention.
5 is a flow chart of the Internet and the immersion diagnosis method of the Internet and the immersion diagnosis apparatus according to the embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when a part is referred to as "including " an element, it does not exclude other elements unless specifically stated otherwise.

The Internet and the immersion diagnosis apparatus 100 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 4. FIG.

1 is a block diagram of an Internet and immersion diagnostic apparatus 100 according to an embodiment of the present invention.

The Internet and the immersion diagnosis apparatus 100 according to an embodiment of the present invention determine whether or not the target user is immersed in the Internet based on the emotion and the perception of the target user who discriminates the immersion with the Internet.

At this time, the Internet and immersion mean excessive use of Internet, information search, online game, chat, internet community, social network service, pornography, online gambling and shopping through a computing device such as a computer or a smart phone. That is, the Internet and immersion can include games, immersion, and smartphones and immersion. In addition, the Internet and immersive users can be Internet and immersive users and Internet addicted users, and can be high risk and potentially dangerous users of the Internet and immersion.

The Internet and immersion diagnosis apparatus 100 include a display module 110, an input module 120, a memory 130, and a processor 140.

The display module 110 displays the emotional and cognitive ratings for the Internet and immersion diagnostics for the target user. Also, the display module 110 displays the internet and the immersion diagnosis result for the target user.

The input module 120 may receive the result data of the target user for the emotion and perception evaluation displayed through the display module 110. The input module 120 may be an input device such as a keyboard, a mouse, a joystick, and a touch pad mounted on or connected to the Internet and the immersion diagnostic apparatus 100. In addition, the input module 120 may be a touch screen panel such as a resistive type or a capacitive type, and may be integrated with the display module 110. FIG.

The memory 130 stores the Internet and the immersion diagnostic program. At this time, the memory 130 collectively refers to a non-volatile storage device that keeps stored information even when power is not supplied, and a volatile storage device that requires power to maintain stored information.

The processor 140 performs emotion and cognitive evaluation according to the execution of the program stored in the memory 130. [ Then, the processor 140 determines whether the target user who has performed the emotional and cognitive evaluation is immersed in the internet based on the resultant data on the emotion and the cognitive evaluation performed. The processor 140, in response to the user, provides the enhancement direction recommendation content based on the determined Internet and immersion.

Users who are immersed in the Internet have symptoms such as daily living disorder, disability in reality, withdrawal, virtual interpersonal relationship, deviant behavior and tolerance. That is, a user who is immersed in the Internet may cause emotional and cognitive problems. Therefore, the processor 140 can perform emotional and cognitive problems, emotional and cognitive evaluations used for brain damage, attention deficit hyperactivity disorder, drug and immersion, and depression tests to determine whether the user is immersed in the Internet have.

Processor 140 may display tasks for emotion evaluation and tasks for cognitive evaluation in display module 110 for emotion evaluation and cognitive evaluation. In response to the displayed emotion evaluation and recognition evaluation, the processor 140 analyzes information input through the input module 120 and performs emotion evaluation and perception evaluation when the target user inputs information through the input module 120 .

At this time, the emotion evaluation is to evaluate the recognition ability of the target user's emotion. The emotion evaluation can be composed of tasks to evaluate the emotion of the target user. Emotion evaluation can be divided into emotion, emotion memory, and emotion control areas. For example, emotion evaluation can be performed through facial expression recognition, emotion detection included in language information, and the like. Tasks for emotion evaluation include, but are not limited to, emotion perception task and stroop task.

Cognitive assessment also measures the user's memory, performance and athletic performance. Cognitive assessment can be performed by evaluating memory, performance, exercise, and attention. For example, the cognitive assessment includes strat- egy task, reading span task, word span task, tower of london task, Wisconsin card sorting task, UFOV (useful field of view tasks, flanker compatibility tasks, verbal n-back tasks, mental rotation tasks, and finger tapping tasks.

For example, during the emotion evaluation, the emotion recognition task tests whether the subject recognizes whether the subject is the same expression for multiple human facial expressions, or whether one person is another facial expression. Target users with emotional problems, such as the Internet and immersive users, may not be able to perceive others' facial expressions more accurately than the average person. Therefore, the processor 140 can identify the emotional problem of the target user or the immersion of the user through the emotion recognition task.

The strut task is a task for the target user to know the reaction time for correctly inputting the color names and the number of characters presented in the display module 110. In order to perform the strut task, the processor 140 presents the display module 110 with, for example, "" " black in letter" or " Measure the input time. Then, the processor 140 can check the perceived speed and cognitive control of the target user through the stress task.

Reading Writing and Writing Writing tasks are tasks that measure working memory that is highly correlated with language achievement and language skills. The processor 140 may evaluate the word memorizing ability of the target user through the read width task and the word width task.

The London Topic, the Wisconsin Card Classification, and the Hanoi Topic are tasks that measure higher cognitive abilities. Through this task, the processor 140 evaluates the executive function for the frontal lobe of the target user, such as how much cognitive control is being performed by measuring the task resolution time delay due to the " speeding phenomenon " sticking to the current reaction or judgment .

The processor 140 may display on the display module 110 a list of one or more emotional evaluations and one or more cognitive ratings to select from. At this time, the processor 140 may display a list of preprogrammed emotions and cognitive assessments to enable the evaluation to be performed. Alternatively, the processor 140 may display a pre-selected emotion and cognitive rating list according to the target user. At this time, the emotion and cognitive evaluation list preselected according to the target user may be selected directly by the target user, or selected by the observer of the target user or the manager of the internet and the immersion diagnostic apparatus. At this time, the observer may be the parent of the target user, the school teacher of the target user, the Internet, the flow controller, and the counselor.

On the other hand, the processor 140 can determine whether the user is immersed in the Internet based on the emotion and cognitive evaluation result data and the result data on the offline evaluation collected for the user. At this time, the offline evaluation may be a result input by the user through the input module 120 in the offline survey. Alternatively, the off-line evaluation may be input by the observer of the target user through the input module 120 to the survey of the target user performed offline.

In addition, the offline evaluation may be provided by the processor 140 through the display module 110 so that the user can input the existing offline evaluation directly on-line. Thus, the processor 140 may provide an online questionnaire for offline evaluation, via the display module 110. [ The processor 140 may receive the response to the online questionnaire for offline evaluation through the input module 120 and collect the result data for the offline evaluation.

At this time, the offline evaluation may include a game and an Internet related offline evaluation and a general question evaluation. In addition, the response to the offline evaluation may include an observer of the target user and the target user who determine whether the user is immersed in the Internet.

Gaming and Internet-related offline evaluations can use scales to identify existing Internet or game and immersion. For example, offline and offline assessments of the game and the Internet were conducted using Young's scale, K-scale, a comprehensive scale for assessing game behavior (CSG), the Internet game addiction scale (GA scale) test) can be used.

In addition, the generalized questionnaire was used to measure the depressive symptoms, such as the Beck Depression Inventory (BDI), BAI to measure anxiety and attention deficit hyperactivity disorder (ADHD), adolescent ADHD, adult K-AADHS , MDQ (BPD) for screening for bipolar disorder, and the like. The generalized question assessment may include measures to measure family relationships such as parenting attitude scale, subjective quality of life scale, parental communication scale, and FES. In addition, the generalized questionnaire was assessed by a sentence completion test, a behavioral inhibition system (BIS / BAS), social anxiety and distress scale (SADS), a smartphone addiction (SA) (AQ), such as a questionnaire survey that can measure the user's psychological, mental illness, and interpersonal relationships.

At this time, the processor 140 may display one or more offline rating lists on the display module 110, such that the target user may select an offline rating similar to the emotional and cognitive rating. For example, the processor 140 may display all of the offline evaluation lists that have been preprogrammed to perform the offline evaluation. Alternatively, the processor 140 may display a pre-selected offline evaluation list according to the target user.

Meanwhile, the Internet and the immersion diagnosis apparatus 100 may further include a database 150. At this time, the database 150 may be a server program installed in the Internet and the immersion diagnostic apparatus 100, or may be an independent database 150 server connected to the Internet and the immersion diagnostic apparatus 100 via a network. have.

The database 150 may store emotion, awareness, and offline evaluation result data for a normal user, a user determined to be immersed with the Internet, and a disease patient related to addiction. At this time, the normal user is a user whose emotion, recognition, and offline evaluation result data are within a predetermined range. For example, if the predetermined range is 2 X standard deviation (), the normal user may be a user included within 2 X standard deviation. Patients with addiction-related illnesses are those with coexistence disorders, such as attention deficit hyperactivity disorder or depression, among the users identified as the Internet and immersed.

Processor 140 is responsible for emotional, cognitive, and offline evaluation of the target user's emotional, perceptual, and offline evaluation results, as well as normal user pre-stored in database 150, The resultant data for the target user can be compared to determine whether the target user is immersed in the internet and the type of the target user.

In order to do this, the processor 140 may first perform statistical analysis on the result data of the emotion, recognition, and offline evaluation previously stored in the database 150. For example, the processor 140 may calculate an average, a standard deviation, a probability distribution, a difference value between each task, and a standard score of scores of each task that performed emotion, recognition, and offline evaluation. In addition, the processor 140 may perform a probability distribution, a factor analysis, a cluster analysis, a variance analysis, and an average analysis on the score of each task in which emotion, recognition, and offline evaluation are performed.

The processor 140 may determine whether the target user is immersed in the Internet based on the statistical analysis performed. In addition, the processor 140 may classify the user type of the target user as a normal user, an Internet, an immersive user, and a disease patient.

For example, the processor 140 may classify the target user as a normal user if the emotion, recognition, and offline evaluation result data of the target user shows a pattern similar to that of the normal user or is included in the range of the normal user. In addition, the processor 140 may determine that the evaluation result data of the target user is out of the normal range and that the distribution of emotional, perceptual, and offline evaluations is similar to the distribution or pattern of the emotional, And if the outcome data of the assessment associated with the disease during offline evaluation is similar to the disease user, the target user may be classified as a disease patient. The processor 140 may classify the target user as the Internet and the immersive user when the target user is out of the normal range and the distribution or pattern of the evaluation result data is different from the disease patient.

The processor 140 may display the emotion, recognition, and offline evaluation result data and the classification result for the target user to the target user through the display module 110. [

FIG. 2 is an exemplary diagram illustrating a resultant analysis of a target user according to an embodiment of the present invention.

For example, referring to FIG. 2, the processor 140 may display the emotion, recognition, and offline evaluation result data for the target user on the display module 110 in a radial graph. At this time, items represented by the radial graph may be functional impairment, cognitive impairment, emotional impairment, lack of control, and immersion due to emotion, recognition and offline evaluation. The processor 140 may then display on the display module 110 a profile including classification results and demographic information for the target user.

In addition, the processor 140 may provide the enhancement direction recommendation contents according to the determined user's internet and immersion. At this time, the contents may be cognitive related contents, emotion related contents, and consultation related contents for internet and immersion therapy. In addition, if the content can be provided in the form of a test, a game or the like, it may be an online consultation and an offline meeting in the case of consultation-related contents.

For example, cognitive-related content may be promotional content for attention, memory, executive ability, high cognitive ability, reasoning, problem solving, and work ability. In addition, the cognitive-related content may include various tests and game-type tests for the promotion of cognition.

In addition, the emotion-related contents may include promoting contents for emotion regulation, emotional memory, emotional perception, stress relieving, sociality enhancement, and impulse control. In addition, emotion related content may include various tests and game type tests for emotion enhancement.

The consultation-related contents can be provided on-line consultation based on information on the connected hospitals, counseling centers and experts stored in the database 150, or a reservation for offline counseling can be made possible.

On the other hand, if it is determined that the mobile terminal 140 is immersed in the Internet, the processor 140 can evaluate the discrimination result based on the dynamic Bayesian network model and predict the therapeutic response to the target user.

Specifically, the processor 140 uses the dynamic Bayesian network algorithm to check the emotion, recognition and offline test results of the users stored in the database 150, the type classification results of the users, Based on the treatment plan, response to the treatment plan, and so on, it is possible to construct a dynamic Bayesian network model that can predict the diagnosis results, predict the treatment plan, and predict the treatment response.

At this time, the treatment plan can be a plan for treatment such as emotional, cognitive and counseling for users classified as internet and immersive or addicted patients. In addition, the treatment plan may be an internet and immersion prevention plan for users classified as normal use data. For example, a treatment plan may be limited to the amount of time and usage of the Internet, plans for treatment education and counseling, and so on.

In order to improve the accuracy of the dynamic Bayesian network model, the processor 140 may use the dynamic Bayesian network model, which is stored in the database or based on the emotion, recognition and offline test result and classification result of the new user, treatment plan, Can be evaluated. The processor 140 may tune or remodel the dynamic Bayesian network model according to the evaluation results.

In addition, the processor 140 may predict a treatment plan corresponding to the user based on the established dynamic Bayesian network model. The prediction of the treatment plan will be described with reference to Fig.

3 is an exemplary diagram for evaluating a discrimination result based on a dynamic Bayesian network model according to an embodiment of the present invention.

As shown in FIG. 3, the processor 140 performs an evaluation of the Internet and the immersion discrimination using the dynamic Bayesian network model. Through the results, the processor 140 generates a level-specific diagnostic group P300 for the immersion state, Level diagnosis group (P320, P340). In addition, the processor 140 may apply the treatment according to the estimated level-specific diagnosis through evaluation (P310, P330).

Meanwhile, the processor 140 may determine whether or not the game of the target user is immersed based on at least one of the game, the immersion scale, and the game synchronization scale for the target user.

The game and commitment scales are used to measure the cognitive effort, conflict, development through game, emotional regulation, escape, euphoria, loss of control loss of control, preoccupation, reality testing, relapse, tolerance, and withdrawal. [0034] [0033] The term " loss of control "

For example, the processor 140 may display a total of 60 example questions for the 12 regions to the target user via the display module 110 as shown in Table 1. When the subject user enters a result for the displayed example question, the processor 140 may analyze the results for the example question to yield a game and a measure of the immersion.

Table 1 is an exemplary question for calculating the game and immersion scales according to one embodiment of the present invention.

Referring to Table 1, according to the embodiment of the present invention, the game and the immersion scale are compared with conventional scales that simply feel negative attitude toward the game, It excludes the question. And the game and immersion scale is a measure of borrowing factors such as cognitive effort, emotional regulation, and game development which are not tried in the scale of the existing Internet and game and immersion. Therefore, the game and immersion scales are based on the assumption that users classified as existing game and immersion actually have high morbidity rate with depression, ADHD, etc. and show brain damage in the right frontal lobe, Can be distinguished from the others.

domain Example questions Recognition effort Highly concentrated when playing games Recognition effort Play the game thinking about the best way to achieve victory or goal Recognition effort I use strategy constantly throughout the game conflict The game causes controversy with other people (eg family, friends) conflict I can not do anything to play games. conflict Neglect important things due to the game Development through games Train yourself to improve your game Development through games Learn how to play better games Development through games The more you play, the more you improve your game skills. Emotional regulation Emotional adjustment during game is not good Emotional regulation It becomes easily angry or depressed when playing a game. Emotional regulation These feelings do not sink well when you are angry or depressed while playing games Escape reality I feel depressed when I play games Escape reality Life in the game is better than life Escape reality When you play, reality is forgotten. Intoxication I feel excited as I play games. Intoxication It feels good and very interesting when playing games. Intoxication I am happy when I think about games Loss of control Play a game for a much longer period than you intended Loss of control When I play the game I keep thinking "I need to do a little more and quit" Loss of control Once you start the game, it's hard to quit. Immersion Imagine what to do next when you play a game Immersion I think about games while I'm not playing Immersion I do not know how much time is spent playing games. Real-life classification disorder I feel like playing games even when I'm not playing games. Real-life classification disorder Sometimes I want to act like a character in a game. Real-life classification disorder If the protagonist gets hurt or dies while playing the game, it feels like I'm doing it. Relapse I often think I need to cut down on the game. Relapse If you decide not to play, you will often play again. Relapse I try to reduce the playing time but often fail. tolerance Time to play gets longer day by day tolerance I have to play for a longer time, but I am satisfied. tolerance There is a tendency to make more and more games. Withdrawal When you can not play games, even if you are depressed or annoyed, the game will disappear. Withdrawal I'm annoyed or angry when I can not play games. Withdrawal I'm worried that I will not be able to play games because of other things.

In addition, the game synchronization measure is to evaluate and calculate the internal and external motives and non-motives of the user's game. Specifically, the game synchronization measure generally utilizes the state synchronization check used in various situations, and the state synchronization check is modified according to the genre of the game. The game motivation scale can be measured by dividing the motivation of the target user into intrinsic motivation, extrinsic regulation, intrinsic regulation, or amotivation. Therefore, the game synchronization measure can estimate the game use motive of a user using each game. In addition, the game motivation scale can be used to analyze motions closely related to game and immersion. For example, the game motivation scale can be calculated through answering the example question "Why do you play?" As shown in Table 2.

Table 2 is an example of an item for calculating the game motivation scale according to an embodiment of the present invention.

domain answer Intrinsic motivation Interesting External pressure I do not think you should not do it because your friends are all around you. No motive I'm not interested in playing games Intrinsic motivation Because it's fun Internal pressure Because it is important in my life No motive The game is not worth it External pressure Because I can raise the ranking Internal pressure Because it helps my life Intrinsic motivation Because I feel better External pressure Because the level goes up Internal pressure I believe it's important to my future goals. No motive I do not want to continue playing

Processor 140 may display through the display module 110 a question such as "What is the reason you play the game? &Quot; The processor 140 may calculate the game synchronization scale according to the response of the target user.

The processor 140 may use the game and the immersion scale and the game synchronization scale in addition to the games and the Internet-related offline evaluation included in the offline inspection.

In addition, the processor 140 according to another embodiment of the present invention can independently execute the game, the immersion scale, and the game synchronization scale to determine whether the game is immersive.

Next, the Internet and the immersion diagnostic program stored in the memory 130 of the Internet and the immersion diagnostic apparatus will be described with reference to FIG.

4 is a block diagram of an Internet and immersion diagnostic program according to an embodiment of the present invention.

The Internet and immersion diagnosis algorithm includes an online evaluation module 400, an offline evaluation module 410, a result analysis module 420, a target user type classification module 430, a diagnosis module 440, a content recommendation module 450, And a result verification module 460.

The online evaluation module 400 may provide online evaluation to the target user via the display module 110. At this time, the online evaluation module 400 may include an emotion evaluation module 401 and a recognition evaluation module 402. Also, the online evaluation module 400 can receive the result data for the on-line evaluation module 400 of the target user through the input module 120.

The offline evaluation module 410 may then provide an offline evaluation to the target user via the display module 110. At this time, the offline evaluation module 410 may include a game and internet related offline evaluation module 411 and a general question evaluation module 412.

The results analysis module 420 may analyze the results based on the results collected through the offline evaluation module 400 and the results collected through the online evaluation module 410. [ At this time, the result analysis module 420 can perform statistical analysis such as simple statistics, factor analysis, and cluster analysis of the collected results through a data processing module (not shown) and a statistical analysis module (not shown).

The target user type classification module 430 includes online evaluation result data for the normal user pre-stored in the database 435, the user determined to be immersed in the internet, and the disease patient related to the addiction, based on the result analyzed by the result analysis module 420, And the offline evaluation result data can be used to classify the target user type. In addition, the target user type classification module 430 can determine whether or not the target user is immersed in the Internet according to the classified target user type.

The diagnostic module 440 may verify the type classification result of the target user received from the target user type classification module 430 based on the learned dynamic Bayesian network model 445. [ In addition, the diagnostic module 440 can predict the treatment response according to the type classification result of the target user.

The content recommendation module 450 may recommend the content based on the user type classified from the user type classification module 430 and the verification result received from the diagnostic module 440. [ At this time, the content may be contents for recommending enhancement measures such as cognitive related contents, emotion related contents, and consultation for internet and immersive treatment.

Next, the Internet and the immersion diagnosis method in the Internet and the immersion diagnosis apparatus 100 according to an embodiment of the present invention will be described with reference to FIG.

5 is a flowchart of the Internet and immersion diagnosis method of the Internet and the immersion diagnosis apparatus 100 according to an embodiment of the present invention.

The Internet and the immersion diagnosis apparatus 100 perform an emotion evaluation for the target user who diagnoses the immersion with the Internet (S500). At this time, the emotion evaluation is to evaluate the recognition ability of the target user's emotion.

In addition, the Internet and the immersion diagnosis apparatus 100 perform a recognition evaluation on the target user (S510). At this time, the cognitive evaluation is to evaluate the memory capacity, performance ability and athletic performance of the target user.

Then, the Internet and the immersion diagnostic apparatus 100 determine whether the target user is immersed in the Internet based on emotion and cognitive evaluation result data for the target user (S530).

The Internet and the immersion diagnosis apparatus 100 provide the enhancement direction recommendation contents based on the determined Internet and immersion (S540). At this time, the enhancement direction recommended contents may include the contents related to the recognition, the contents related to the emotion, and the contents related to the consultation. Cognitive-related content may include content that promotes attention, memory, executive ability, high cognitive ability, reasoning, problem solving, and work ability. In addition, the emotion-related contents may include promoting contents for emotion regulation, emotional memory, emotional perception, stress relieving, sociality enhancement, and impulse control. The contents related to counseling may include information about the internet, immigration-related hospitals, counseling centers and specialists, and may provide information on reservation or online counseling.

On the other hand, the Internet and the immersion diagnostic apparatus 100 collect the offline evaluation (S520), and determine whether the target user is immersed in the internet based on the result of the collected offline evaluation, the result of the emotion evaluation, can do.

The offline rating may include at least one of a game, a commitment measure, and a game synchronization measure. At this time, the game and the immersion scale are evaluated as one or more of the recognition effort of the user, emotion regulation, game development, emotion regulation, reality escape, intoxication, loss of control, immersion, distinction of reality, recurrence, tolerance and withdrawal . In addition, the game synchronization measure is calculated by evaluating internal and external motives and non-motives of the user's game.

At this time, the Internet and the immersion diagnosis apparatus 100 determine whether or not the result of the normal user stored in the database 150, the result data of other users determined to be immersed in the Internet, It is possible to determine whether or not the target user is immersed in the Internet.

In addition, the Internet and the immersion diagnostic apparatus 100 can evaluate the Internet and immersion determined for the target user based on the dynamic Bayesian network model after determining whether the target user is immersed in the Internet. At this time, the dynamic Bayesian network model is based on a dynamic Bayesian network model based on the response data to the normal user pre-stored in the database, the other user determined to be immersed in the Internet, and the result data on the patient about the addiction- Network algorithm.

On the other hand, the Internet and the immersion diagnostic apparatus 100 can provide the enhancement direction recommendation content corresponding to the user based on the classified type of the classified user (S540) in order to provide the enhancement direction recommendation content corresponding to the user have. At this time, the enhancement direction recommended contents may include the contents related to the recognition, the contents related to the emotion, and the contents related to the consultation.

The Internet and immersion diagnostic apparatus 100 and method according to an embodiment of the present invention can determine whether or not to immerse with the Internet based on emotion, recognition, and offline evaluation. Therefore, the Internet and immersion diagnostic apparatus (100) and method compared to the subjective survey-based Internet and immersive diagnostic tool of the existing users are subject to a subjective error, a deliberate falsehood concealing the fact intentionally, Can be minimized. In addition, the Internet and the immersion diagnostic apparatus 100 and method can facilitate multidimensional analysis through various evaluation methods, and enhance diagnostic and analysis reliability.

One embodiment of the present invention may also be embodied in the form of a recording medium including instructions executable by a computer, such as program modules, being executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Further, the computer-readable recording medium may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of those elements or operations may be implemented using a computer system having a general purpose hardware architecture.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Internet and immersion diagnostics
110: Display module
120: input module
130: memory
140: Processor
150: Database

Claims (16)

An apparatus for diagnosing internet and immersion for a user,
Internet and immersion diagnostics program stored memory and
And a processor for executing the program,
Wherein the processor performs an emotion evaluation and a cognitive evaluation on the user according to the execution of the program and determines whether the user is immersed in the internet based on the resultant data on the emotion evaluation and the cognitive evaluation,
Evaluating whether or not the user is immersed in the Internet based on the created dynamic Bayesian network model, generating a treatment plan corresponding to the user based on the evaluation result,
Providing promotion direction recommendation contents on the basis of the determined Internet and immersion,
Wherein the emotion evaluation is to evaluate the recognition ability of the user ' s emotion,
The recognition evaluation is for evaluating the memory capacity, execution ability and exercise capacity of the user,
The dynamic Bayesian network model is based on a dynamic Bayesian network algorithm and result data on emotion evaluation and cognitive evaluation that have been collected for normal users, And,
Wherein the data of the treatment plan includes the treatment plan and a response of the user corresponding to the treatment plan. The method according to claim 1,
Wherein the processor collects result data for an offline evaluation for the user and determines whether the user is immersed in the Internet based on result data for the emotion evaluation and perception evaluation and result data for the offline evaluation, And immersion diagnosis apparatus. 3. The method of claim 2,
Display module and
Further comprising an input module,
Wherein the processor is configured to provide the display module with a questionnaire item corresponding to the offline evaluation, receive a response to the questionnaire item from the user through the input module, and collect result data for the offline evaluation Immersion diagnostic apparatus. 3. The method of claim 2,
Wherein the offline evaluation comprises at least one of a game, a commitment measure, and a game synchronization measure,
The game and the immersion scale can be evaluated by evaluating one or more of the recognition effort of the user, emotion regulation, game development, emotional regulation, escaping reality, mischief, loss of control, immaturity, distinction of reality, recurrence, tolerance and withdrawal And,
Wherein the game motive scale evaluates and calculates internal and external motives and non-motives for the game of the user. 3. The method of claim 2,
The result data of the emotion evaluation and the cognitive evaluation collected for the normal user, the other user determined to be immersed in the Internet, and the patient, and the result data for the offline evaluation are stored in the result data of the normal user, And a database for storing result data of another user determined as the result data of the patient and result data of the patient,
Wherein the processor classifies the type of the user based on the result data of the normal user, the result data of other users determined to be immersed in the Internet, and the result data of the patient, and based on the classified type, And immersive diagnostic device to determine immersion. 6. The method of claim 5,
The processor providing the enhancement direction recommendation content based on the classified type of the user,
Wherein the enhancement direction recommended content includes cognitive related content, emotion related content, and counseling related content. The method according to claim 6,
The cognitive related content includes content for attention, memory, executive ability, high cognitive ability, reasoning, problem solving, and work performance,
The emotion related contents include contents for emotion regulation, emotion memory, emotion perception, relieving stress, promoting sociality, and promoting impulse,
Wherein the consultation-related contents include information on hospitals, clinics, and specialists related to the Internet and immersion. delete In the internet and immersion diagnosis method in the internet and immersion diagnosis apparatus,
Performing emotional evaluation on the user;
Performing a cognitive evaluation on the user;
Determining whether the user is immersed in the Internet based on the resultant data on the emotion evaluation and the cognitive evaluation;
Providing promotion direction recommendation contents based on the determined Internet and immersion;
Evaluating based on a pre-created dynamic Bayesian network model for the user and whether the user is immersed in the Internet;
Generating a treatment plan corresponding to the user based on the evaluation result; And
Providing recommendation direction recommendation contents based on the determined Internet and immersion status,
Wherein the emotion evaluation is to evaluate the recognition ability of the user ' s emotion,
The recognition evaluation is for evaluating the memory capacity, execution ability and exercise capacity of the user,
The dynamic Bayesian network model is based on a dynamic Bayesian network algorithm and result data on emotion evaluation and cognitive evaluation that have been collected for normal users, And,
Wherein the data of the treatment plan comprises the treatment plan and the user's response to the treatment plan. 10. The method of claim 9,
Further comprising the step of collecting result data for an offline evaluation of the user prior to the step of determining whether the user is immersed in the Internet,
Wherein the step of determining whether the user is immersed in the Internet comprises:
And determining whether or not the user is immersed in the internet based on the result data on the collected offline evaluation and the result data on the emotion evaluation and the cognitive evaluation. 11. The method of claim 10,
Wherein the offline evaluation comprises at least one of a game, a commitment measure, and a game synchronization measure,
The game and the immersion scale can be evaluated by evaluating one or more of the recognition effort of the user, emotion regulation, game development, emotional regulation, escaping reality, mischief, loss of control, immaturity, distinction of reality, recurrence, tolerance and withdrawal And,
Wherein the game motive scale evaluates and calculates internal and external motives and non-motives for the game of the user. 12. The method of claim 11,
Wherein the step of determining whether the user is immersed in the Internet comprises:
Classifying the type of the user based on result data of the normal user, result data of other users determined to be immersed in the internet, and result data of the patient; And
Further comprising the step of determining whether the user is immersed in the Internet based on the classified type,
Wherein the result data comprises result data of the emotional assessment and cognitive evaluation and result data of the offline evaluation. 13. The method of claim 12,
The step of providing the enhancement direction recommendation content based on the discriminated Internet and immersion,
Recommending the enhancement direction recommendation content based on the classified type of the user classified from the step of discriminating whether the user is immersed with the Internet,
Wherein the enhancement direction recommendation content includes a cognitive related content, an emotion related content, and a counseling related content. 14. The method of claim 13,
The cognitive related content includes content for attention, memory, executive ability, high cognitive ability, reasoning, problem solving, and work performance,
The emotion related contents include contents for emotion regulation, emotion memory, emotion perception, relieving stress, promoting sociality, and promoting impulse,
Wherein the consultation-related contents include information on hospitals, clinics, and specialists related to the Internet and immersion. delete A computer-readable recording medium recording a program for performing the method according to any one of claims 9 to 14 on a computer.
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