• Journal of the Korea Convergence Society
• /
• v.11 no.5
• /
• pp.97-105
• /
• 2020

This study was to identify the main predictors of smartphone overdependece of infants perceived by mothers and to provide basic data useful for education and practice. For this, data-mining decision tree analysis was performed using SPSS program, and the fianl 410 researches were used for analysis. The results. In the case of the whole infants, the most important predictor of smartphone dependence was father's leisure activity parenting participation. For boys, their father's leisure activity was the most dependent on their smartphone dependence. However, even if father's participation in leisure activities was high, smartphone overdependence increased again when mother's overprotection and permissive attitude were high. Finally, For girls, the most influential variable on smartphone dependence was warmth and encouragement among mothers' parenting attitudes.

• Journal of Digital Convergence
• /
• v.17 no.1
• /
• pp.269-280
• /
• 2019

The purpose of this study was to identify the influencing factors on smartphone overdependence by examining the relationships between smartphone overdependence, self-determination, depression, self-esteem, and impulsivity in male and female college students. The self-reported questionnaires were administered to 263 students from two colleges. As results of multiple regression analysis, the factors affecting smartphone overdependence in male students were the perception of smartphone importance (${\beta}=.411$, p<.001), impulsivity (${\beta}=.204$, p=.007), and depression (${\beta}=.200$, p=.040). In female students, influencing factors were the perception of smartphone importance (${\beta}=.630$, p<.001) and impulsivity (${\beta}=.185$, p=.010). Based on the findings, a tailored smartphone overdependence prevention program is needed by controlling impulsivity and changing distorted perceptions of smartphone.

• Annual Conference on Human and Language Technology
• /
• 1993.10a
• /
• pp.35-44
• /
• 1993

본 논문에서는 의존문법을 이용해 한국어와 같이 비교적 어순이 자유롭고, 지배성분 후위의 특성을 갖는 언어를 효율적으로 분석할 수 있는 오른쪽 우선 분석 방법을 제안한다. 지배가능경로를 이용하면 생성되는 의존 트리의 수를 줄일 수 있음을 보이며, 의존 관계의 검사를 위해서는 지배가능경로 상의 문장 성분만을 조사하면 됨을 보인다. 한국어에 적용한 실험 결과를 보이며, 각 방식에 따른 비교 기준은 생성되는 외존 트리의 갯수와 분석 수행 시간으로 한다. 이때 한국어 문장성분간의 의존관계는 품사 분류에 의한 기본적인 의존 관계만을 이용하며, 격돌이나 의미 속성 등 추가적인 제약 사항은 이용하지 않는다. 오른쪽 우선 구문 분석은 지배가능경로를 이용함으로써 의존 관계의 빠른 검색을 할 수 있었으며, 문장 지배 성찰을 포함하지 않는 부분 의존 트리를 생성하지 않음으로써 생성되는 의존 트리의 수를 줄일 수 있었다.

• Annual Conference on Human and Language Technology
• /
• 2010.10a
• /
• pp.63-67
• /
• 2010

본 논문에서는 자질(feature)의 가중치를 학습하여 이용하는 기계학습 기반 한국어 의존 파싱 기법을 소개한다. 이를 위하여 모든 가능한 의존관계에 대하여 각 의존관계마다 일정한 수의 자질을 생성한다. 자질마다 가중치에 의하여 그 중요도를 나타낸다. 자질의 가중치 값은 의존관계가 태깅된 구문구조 학습 말뭉치를 이용하여 학습한다. 이를 위해 본 논문에서는 간단한 가중치 기계학습 기법을 제시한다. 실험을 위한 언어 자원으로는 구구조부착 세종말뭉치를 변환하여 구한 의존관계 부착 말뭉치를 사용하였다. 실험 결과 약 86.5%의 정확률을 가지는 의존파싱이 가능함을 관찰하였다.

• Annual Conference on Human and Language Technology
• /
• 2019.10a
• /
• pp.546-548
• /
• 2019

구문 분석은 문장을 구성하는 어절들 사이의 관계를 파악하여 문장의 구조를 이해하는 기술이다. 구문 분석은 구구조 분석과 의존 구문 분석으로 나누어진다. 한국어처럼 어순이 자유로운 언어에는 의존 구문 분석이 더 적합하다. 의존 구문 분석은 문장을 구성하고 있는 어절 간의 의존 관계를 분석하는 작업으로, 각 어절의 지배소를 찾아내어 의존 관계를 분석한다. 본 논문에서는 멀티헤드 어텐션과 포인터 네트워크를 이용한 음절 단위 의존 구문 분석기를 제안하며 UAS 92.16%, LAS 89.71%의 성능을 보였다.

• Journal of Korea Game Society
• /
• v.20 no.1
• /
• pp.23-32
• /
• 2020

This study was attempted to investigate the factors that influence on problematic smartphone use and life satisfaction by smartphone usage type. A total of 25,465 people were used for the analysis and analyzed using the R (3.6.1) program. According to the data analysis, problematic smartphone use occurred in the form of leisure activity seeking and information seeking type. On the other hand, the communication type reduced problematic smartphone use. The type of smartphone use that had the greatest influence on life satisfaction was communication type The longer the smartphone use time and the higher the problematic smartphone use, the more negatively the life satisfaction.

• Korean Journal of School Psychology
• /
• v.18 no.2
• /
• pp.269-290
• /
• 2021

This study was conducted to examine the moderated mediation effect of self-esteem through internet overdependence on the effect of academic stress on depression and anxiety. Surveys were conducted as part of the 13th wave of the Korea Welfare Panel Study. The survey included academic stress, internet overdependence, depression and anxiety, and self-esteem scales. A total of 383 middle school students completed surveys. Data was analyzed using SPSS 21.0 and SPSS PROCESS Macro. There were three major results. First, internet overdependence partially mediation the effect of academic stress on depression and anxiety. Second, self-esteem moderated the relationship between internet overdependence and depression and anxiety. Third, self-esteem also moderated the mediating effect of academic stress on depression and anxiety through internet overdependence. These results indicate that self-esteem is a protective factor against the negative effects of internet overdependence on mental health and of academic stress on depression and anxiety in middle school students. This paper discusses the implications of these results, this study's limitations, and suggestions for future studies.

• Journal of the Korea Convergence Society
• /
• v.8 no.8
• /
• pp.177-183
• /
• 2017

This study is a descriptive study to investigate the influence factors on smartphone overdependenceon in male middle school students. A questionnaire survey was conducted on 174 male middle school students about their smartphone overdependence, stress, ego - resilience, and use of smartphone by function. In results, 29.9% (potential risk group 23.6%, high risk group 6.3%) of the male middle school students were the smartphone overdependency risk group. A higher smartphone overdependency was associated with the higher the smartphone usage time per day, the higher the stress level, the higher the grade, and the lower the ego-resilience level. This requires the involvement of appropriate stress coping styles to overcome excessive stress situations. And the development and implementation of an intervention program that increases the level of ego-resilience can be expected to have an effect of controlling the smartphone use time as well as the intervention effect on stress coping.

• Informatization Policy
• /
• v.25 no.2
• /
• pp.20-45
• /
• 2018

This study aims to find the factors of Internet overdependence in adults, through the decision tree analysis model, which is a data mining method using National Information Society Agency's raw data from the survey on Internet overdependence in 2016. As a result of the decision tree analysis, a total 16 nodes of Internet overdependence risk groups were identified. The main predicated variables were the amount of time spent per smart media usage in weekdays; amount of time spent per smart media usage in weekends; experiences of purchasing cash items; percentage of using smart media for leisure; negative personality; percentage of using smart media for information search and utilization; and awareness on good functions of the Internet, all of which in order had greater impact on the risk groups. Users in the highest risk node spent the smart media for more than 5 minutes per use and less than 5~10 minutes in weekdays, had experiences of cash item purchase, and had lower level of awareness on the good functions of the Internet. The analysis led to the following recommendations: First, even a short-time use has higher chances of causing Internet overdependence, and therefore, guidelines need to be developed based on research on the usage behavior rather than the usage time. Second, self-regulation is required because factors that affect overindulgence in games, such as the cash items, increase Internet overdependence. Third, using the Internet for leisure causes higher risk of overdependence and therefore, other means of leisure should be recommended.

• Annual Conference on Human and Language Technology
• /
• 2015.10a
• /
• pp.133-136
• /
• 2015

문서 교정기에서 문맥의존 철자오류를 교정하는 방법은 크게 규칙을 이용한 방법과 통계 정보를 이용한 방법으로 나뉜다. 한국어와 달리 영어는 오래전부터 통계 모형에 기반을 둔 문맥의존 철자오류 교정 연구가 활발히 이루어졌다. 그러나 대부분 연구가 문맥의존 철자오류 교정 문제를 특정 어휘 쌍을 이용한 분류 문제로 간주하기 때문에 실제 응용에는 한계가 있다. 또한, 대규모 말뭉치에서 추출한 통계 정보를 이용하지만, 통계 정보 자체에 오류가 있을 경우를 고려하지 않았다. 본 논문에서는 텍스트에 포함된 모든 단어에 대하여 문맥의존 철자오류 여부를 판단하고, 해당 단어가 오류일 경우 대치어를 제시하는 영어 문맥의존 철자오류 교정 기법을 제안한다. 또한, 통계 정보의 오류가 문맥의존 철자오류 교정에 미치는 영향과 오류 발생률의 변화가 철자오류 검색과 교정의 정확도와 재현율에 미치는 영향을 분석한다. 구글 웹데이터에서 추출한 통계 정보를 바탕으로 통계 모형을 구성하고 평가를 위해 브라운 말뭉치에서 무작위로 2,000문장을 추출하여 무작위로 문맥의존 철자오류를 생성하였다. 실험결과, 문맥의존 철자오류 검색의 정확도와 재현율은 각각 98.72%, 95.79%였으며, 문맥의존 철자오류 교정의 정확도와 재현률은 각각 71.94%, 69.81%였다.