• Title/Summary/Keyword: 스마트폰 중독진단

Search Result 23, Processing Time 0.027 seconds

Relation between Smartphone Addiction and Interpersonal Competence of College Students using Social Network Service (소셜네트워크서비스를 이용하는 대학생들의 스마트폰 중독과 대인관계능력의 관계)

  • Park, Soonjoo;Kwon, Min-A;Baek, Min-Ju;Han, Na-Ra
    • The Journal of the Korea Contents Association
    • /
    • v.14 no.5
    • /
    • pp.289-297
    • /
    • 2014
  • The purpose of this study was to investigate the relation between smartphone addiction and interpersonal competence of college students using social network service(SNS) through smartphones. This study used a descriptive study design. The convenience sample consisted of 502 college students in six cities. The data were collected from May to June in 2012 using Korean Smartphone Addiction Proneness Scale and Interpersonal Competence Questionnaire. Descriptive statistics, ${\chi}^2$-test, t-test, analysis of variance, and Pearson correlation coefficient were used to analyze the data. The results showed that 24.8% of SNS users were considered as a risk group, while 75.2% were normal user group. There were no significant differences of interpersonal competence between risk group and normal user group in the SNS users. However, risk group had higher self-disclosure scores than normal user group. The subjects who had higher scores for virtual life, one of smartphone addiction subdomains, had lower interpersonal competence and those with higher smartphone addiction scores showed lower score of managing interpersonal conflict in subdomains of interpersonal competence. These findings would contribute in development of preventive interventions for smartphone addiction and improvement program for interpersonal competence in college students.

A Systematic Review on the Intervention Program of Smartphone Addiction (스마트폰 중독의 중재 프로그램에 관한 체계적 고찰)

  • Kim, Deok Ju
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.3
    • /
    • pp.276-288
    • /
    • 2020
  • This study analyzed the intervention program of smartphone addiction. The literature used for this research analysis was published from Jan. 2010 to Jul. 2019. The foreign literature was searched for in 'Pubmed and Science Direct', and the domestic literature was found in 'RISS, Keris, and KISS'. A total of 310 studies were found and analyzed on the basis of our inclusion and exclusion criteria. Finally, 16 theses were analyzed. Thirteen theses (81%) meet the required evidence level, and three theses (19%) had level III. As a result of analysis on the intervention methods of smartphone addiction, art therapy was found in 6 theses (37.5%), exercise therapy in four theses (25.0%), and cognitive behavior therapy in three theses (18.6%). After the intervention of most of the programs, there were reduced withdrawal symptoms of smartphone addiction, reduced negative feelings like depression, anxiety, and impulsiveness, and increased positive feelings like self-esteem. A smartphone addiction evaluation scale was mostly applied in terms of the evaluated items, along with psychological evaluation. These studies are expected to be effectively used as intervention tools for treating smartphone addiction.

A Study on Effects of Elementary School Students' Use of Smart Phone upon Reading and Self-regulated Reading (초등학생의 스마트폰 사용 실태가 독서 실태 및 자기조절읽기에 미치는 영향)

  • Kim, Taeyong;Park, Sunju
    • Journal of The Korean Association of Information Education
    • /
    • v.18 no.3
    • /
    • pp.433-442
    • /
    • 2014
  • This study investigated effects of elementary school students' use of smartphone upon not only reading but also self-regulated reading. The subject was 6th year students of elementary school. The study investigated the students by smartphone addict self-diagnosis, reading conditions and self-regulated reading test. The findings were: The students' ownership of smartphone and addiction had influence upon reading quantity, reading time and self-regulated reading, and had no influence upon time of use of smartphone. To help elementary school students make use of smartphone correctly and prevent smartphone addiction, the students should be educated at school and home, and also, proper way to teach students how to read books should be researched in the era of smartphone.

Analysis of trends in domestic research on addiction using text mining and CONCOR (텍스트마이닝과 CONCOR을 활용한 중독 관련 국내 연구 동향 분석)

  • Sol-Ji Lee;Ki-Hyok Youn
    • Journal of Internet of Things and Convergence
    • /
    • v.9 no.6
    • /
    • pp.99-110
    • /
    • 2023
  • This study analyzed 817 articles published in Korean professional journals over the past three years, from 2020 to 2022, using text mining techniques to identify trends in addiction research in Korea and explore development directions. The analysis results are as follows. First, as a result of the analysis of the top keywords, online addiction studies such as smartphones, games, Internet, gambling, and relationship addiction were prominent as the top keywords. Second, as a result of TF-IDF analysis, many addiction studies related to behavioral addiction such as smartphones, games, the Internet, and work addiction have been conducted over the past three years, and in particular, there are many studies on addiction problems such as smartphones, games, and the Internet that have not yet been clinically diagnosed as addiction problems. This is the same as the result of word frequency analysis, and it can be interpreted that recent studies have been remarkably conducted on more diverse addiction problems. Third, the 2-gram analysis shows that words that mainly correspond to behavioral addiction, such as smartphones, games, and the Internet, appear side by side with the keyword addiction, and among them, words paired with smartphones are mentioned a lot in research papers and are being studied. Fourth, as a result of the CONCOR analysis, there were five clusters: a study on universal addiction issues such as alcohol use disorders and the Internet, a study of recovery on drug and gambling addiction, a study on mobile devices and media addiction, a study on the latest trends related to behavioral addiction, and other addiction issues. Finally, based on the results of this study, a direction for future addiction-related research was suggested.

The Effect of Adult Smartphone Addiction on Memory Impairment: Focusing on the Mediating effect of Executive Function Deficiencies (성인의 스마트폰 중독이 기억손상에 영향을 미치는 과정에서 집행기능결함의 매개효과)

  • Lim, Jeeyoung
    • Journal of Digital Convergence
    • /
    • v.16 no.7
    • /
    • pp.299-308
    • /
    • 2018
  • This study was conducted to examine the mediating effect of executive function deficiencies on the relationship between smartphone addiction and memory impairment and to suggest treatment implications for adults with smartphone addiction symptoms. For this study, 300 adults(146 males and 154 females) were conducted smartphone addiction scale, Barkley Deficits in Executive Functioning Scale-Short Form(BDEFS-SF), and Multifactorial Memory Questionnaire(MMQ). The results are as follows. First, correlation analyses showed that smartphone addiction, executive function deficiencies, and memory impairment were positively correlated. Second, Smartphone addiction group showed significantly higher scores on all of the subfactors of executive function and memory impairment. Third, Stepwise regression analyses revealed that self-organization/problem solving, self-management to time, self-restraint, and withdrawal were the best predictors of memory impairment. Forth, Executive function deficiencies fully mediated the relationship between smartphone addiction and memory impairment. These findings were considered to suggest that treatment programs for smartphone addiction group needed to include training for cognitive improvement such as executive function rehabilitation.

Effects of degree of Use of Smartphone on the Spinal Health of Later Teens: Moderating Effect of Cognition Strength (스마트폰 사용정도에 따라 후기 청소년들의 척추건강에 미치는 영향: 인지강도의 조절효과 중심으로)

  • Kim, Sang-Woo;Lee, Jin;Lee, Byoung-Hee
    • 재활복지
    • /
    • v.22 no.2
    • /
    • pp.213-230
    • /
    • 2018
  • The study looked at the impact on the health of the spine caused by the increasing addiction to smart phones, and examine the moderating effect of adjusting spinal health according to cognitive strength. All subjects used the smartphone by measuring the diagnostic scale of the smartphone addiction, the angle of forward inclination of the cervical spine, and the amplitude variation of the cognitive Gamma-Peak of the brain waves. As a result, as the use of smart phones increases, the spine angle significantly increased (p<0.001), as cognitive strength increased, the spine angle decreased significantly (p<0.01). The cognitive strength also showed the effect of adjusting the spine angle through interaction with the degree of use of a smartphone (p<0.05). This results in a higher degree of smartphone use in lower and middle cognition strength groups, which results in a higher angle of forward tilt in the cervical spine.

Smartphone Addiction Detection Based Emotion Detection Result Using Random Forest (랜덤 포레스트를 이용한 감정인식 결과를 바탕으로 스마트폰 중독군 검출)

  • Lee, Jin-Kyu;Kang, Hyeon-Woo;Kang, Hang-Bong
    • Journal of IKEEE
    • /
    • v.19 no.2
    • /
    • pp.237-243
    • /
    • 2015
  • Recently, eight out of ten people have smartphone in Korea. Also, many applications of smartphone have increased. So, smartphone addiction has become a social issue. Especially, many people in smartphone addiction can't control themselves. Sometimes they don't realize that they are smartphone addiction. Many studies, mostly surveys, have been conducted to diagnose smartphone addiction, e.g. S-measure. In this paper, we suggest how to detect smartphone addiction based on ECG and Eye Gaze. We measure the signals of ECG from the Shimmer and the signals of Eye Gaze from the smart eye when the subjects see the emotional video. In addition, we extract features from the S-transform of ECG. Using Eye Gaze signals(pupil diameter, Gaze distance, Eye blinking), we extract 12 features. The classifier is trained using Random Forest. The classifiers detect the smartphone addiction using the ECG and Eye Gaze signals. We compared the detection results with S-measure results that surveyed before test. It showed 87.89% accuracy in ECG and 60.25% accuracy in Eye Gaze.

An Internet Addiction Self-Diagnosis Technique based on Formal Concept Analysis (FCA) (형식개념분석을 활용한 인터넷중독 자가진단)

  • Kang, Yu-Kyung;Lee, Hyun;Park, Jung-Ho
    • The Journal of Korean Association of Computer Education
    • /
    • v.16 no.5
    • /
    • pp.39-47
    • /
    • 2013
  • In the case of a weak self-control youth, young students easily tend to fall into addiction by using the Internet as a sensation seeking and an alternative to escape the reality. Until now, internet addiction self-diagnosis techniques such as Internet addiction scale have been developed and used to solve this kind of internet addiction issue. However, traditional methods do not assess the correlation of addiction and the effects of the environment systematically because they are simply composed of redundant addiction scale criteria and questionnaire forms of the diagnostic methods. Thus, in this paper, we propose a new internet addiction self-diagnosis technique based on Formal Concept Analysis (FCA) and implement a self-diagnosis system in order to make a systematic internet addiction self-diagnosis system. In addition, we analyze the correlation of the measured data based on different perspectives such as home environment, family relationships, peer relationships, school life, and so on.

  • PDF

Type Analysis and Countermeasures of Side Effects of using Smart Phone (스마트폰 이용의 부작용 유형 분석 및 대응 방안)

  • Kim, Tae-Hee;Kang, Moon-Seol
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.17 no.12
    • /
    • pp.2984-2994
    • /
    • 2013
  • The emergence of smart phones has brought about a revolution in introducing a computer into the palm of a hand, and this revolution has lead to a smart society that offers comfort and joy in life; however, some side effects including a smart phone syndrome have been identified on a wider and more varied scale compared with any other IT devices of the past. This paper deduced side effect types and key issues according to type focusing on risk factors in accordance with the purpose of the use of smart phones, and diagnosed social effects based on them. In addition, based on the diagnosed results, the study proposed solutions to minimize side effects in order to produce social understanding and sympathy concerning the desirable utilization of smart phones. The proposed solutions should be able to cope with visible and potential side effects systematically by helping people to utilize smart phones, which are a platform of creativity, cooperation, communications, and entertainments, in a desirable way.

Study on the K-scale reflecting the confidence of survey responses (설문 응답에 대한 신뢰도를 반영한 K-척도에 관한 연구)

  • Park, Hye Jung;Pi, Su Young
    • Journal of the Korean Data and Information Science Society
    • /
    • v.24 no.1
    • /
    • pp.41-51
    • /
    • 2013
  • In the Information age, internet addiction has been a big issue in a modern society. The adverse effects of the internet addiction have been increasing at an exponential speed. Along with a great variety of internet-connected device supplies, K-scale diagnostic criteria have been used for the internet addiction self-diagnose tests in the high-speed wireless Internet service, netbooks, and smart phones, etc. The K-scale diagnostic criteria needed to be changed to meet the changing times, and the diagnostic criteria of K-scale was changed in March, 2012. In this paper, we analyze the internet addiction and K-scale features on the actual condition of Gyeongbuk collegiate areas using the revised K-scale diagnostic criteria in 2012. The diagnostic method on internet addiction is measured by the respondents' subjective estimation. Willful error of the respondents can be occurred to hide their truth. In this paper, we add the survey response to the trusted reliability values to reduce response errors on the K-scale on the K-scale, and enhance the reliability of the analysis.