• Title/Summary/Keyword: personal relationship problem

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Influence of smartphone addiction on personal relationship in dental hygiene students (치위생과 학생들의 스마트폰 중독이 대인관계에 미치는 영향)

  • Lee, Seong-Sook;Jun, Soo Kyung;Kim, Dong Ae
    • Journal of Korean society of Dental Hygiene
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    • v.16 no.5
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    • pp.775-782
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    • 2016
  • Objectives: The purpose of the study was to investigate the influence of smart phone addiction on personal relationship in dental hygiene students. Methods: A self-reported questionnaire was completed by 475 dental hygiene students in Gyeonggido and Chungcheongdo from May 9 to June 10, 2016. Except incomplete questionnaire, data were analyzed using SPSS 23.0 program. The instruments consisted of general characteristics of the subjects, smartphone addiction, and personal relationship. Results: The percentage of smart phone was 23.0% in a risk group and 77.0% in a general group. The level of smartphone had a statistically significant difference with personal relationship(p<0.05). Smartphone addiction resulted in bad personal relationship. Conclusions: Smartphone addiction problem interrupts personal relationship. It is very important to reduce smart phone addiction through a variety of solution.

Movie Recommendation Algorithm Using Social Network Analysis to Alleviate Cold-Start Problem

  • Xinchang, Khamphaphone;Vilakone, Phonexay;Park, Doo-Soon
    • Journal of Information Processing Systems
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    • v.15 no.3
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    • pp.616-631
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    • 2019
  • With the rapid increase of information on the World Wide Web, finding useful information on the internet has become a major problem. The recommendation system helps users make decisions in complex data areas where the amount of data available is large. There are many methods that have been proposed in the recommender system. Collaborative filtering is a popular method widely used in the recommendation system. However, collaborative filtering methods still have some problems, namely cold-start problem. In this paper, we propose a movie recommendation system by using social network analysis and collaborative filtering to solve this problem associated with collaborative filtering methods. We applied personal propensity of users such as age, gender, and occupation to make relationship matrix between users, and the relationship matrix is applied to cluster user by using community detection based on edge betweenness centrality. Then the recommended system will suggest movies which were previously interested by users in the group to new users. We show shown that the proposed method is a very efficient method using mean absolute error.

Effects of the Intergenerational Family Relationship and the Self-Differentiation of Parents and Child on the Children's Problematic Behaviors (부모 자아분화와 아동 자아분화 및 세대간 가족관계가 아동의 문제행동에 미치는 영향)

  • Joung, Kyoung Yeon;Sim, Hae Sook
    • Korean Journal of Child Studies
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    • v.28 no.6
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    • pp.119-133
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    • 2007
  • The subjects of this study were composed of 620 $5^{th}$ and $6^{th}$ grade children in Pusan City and their parents. Both parents completed the Differentiation of Self Inventory(DSI : Skowron & Friedlander, 1998). Children completed the DSI, the Personal Authority in the Family System Questionnaire (Bray et al., 1984), and the Youth Self-Report (Archenbach, 1991). These measures were translated into Korean and adapted for children and parents; their validity was established through a preliminary survey of content validity and reliability. Results showed no meaningful correlation between parent's self-differentiation and children's self-differentiation or between parents' self-differentiation total and children's level of problem behaviors. However, Intergenerational Family Relationship and Children's Self-Differentiation influenced children's internalizing and externalizing of problem behavior.

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The relationship between intrinsic motivation and learning outcomes in problem-based learning (문제중심학습에서 내재적 동기와 학습 성과의 관계)

  • Kim, Hye-Ryoung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.26 no.3
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    • pp.238-247
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    • 2020
  • Purpose: The purpose of this study was to identify the relationship between intrinsic motivation and learning outcomes of nursing college students who took the Fundamentals of nursing as a problem-based learning method. Methods: In this cross-sectional study, we identified the intrinsic motivations of 114 nursing students who completed problem-based learning using the Intrinsic Motivation Inventory. The t-test was conducted to identify differences according to intrinsic motivation, and correlation analysis was performed to confirm the relationship between intrinsic motivation and learning outcomes. Results: The group with higher intrinsic motivation showed higher scores in all domains of self-assessed learning outcomes than the lower group. It was the 'Relatedness with an instructor' that showed the highest correlation with the learning outcomes in the domains of intrinsic motivation. Conclusion: Problem-based learning is an effective learning method for cultivating the competencies needed for nurses. The intrinsic motivation of students is an important factor in the performance of problem-based learning. For the efficiency of problem-based learning, efforts should be made to develop and apply autonomy-supportive interventions that can enhance intrinsic motivation.

The Relationship between the Multiple Intelligence and the Technological Problem Solving of Middle school students (중학생들의 다중지능과 기술적 문제해결력과의 관계)

  • Ryu, Seong-Min;Ahn, Kwang-Sik;Choi, Won-Sik
    • 대한공업교육학회지
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    • v.30 no.1
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    • pp.37-45
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    • 2005
  • The purpose of this study is to find out the relationship between the Multiple Intelligence and the technological problem solving and the differences between the two. There were a group of 200 third grade middle school students that were comprised of 100 boys and 100 girls and what the difference is exited between the boys and the girls. To measure the students' Multiple Intelligence, MI(Multiple Intelligent)Test designed by Youngrin, Moon was used. As the testing instrument of the Technological problem Solving, we use the test developed by National Center for Research on Evaluation, Standards, and Students Testing(CRESST). The results were; First, In comparison with the boys and girls' multiple intelligence part, there were individual differences in musical intelligence, bodily-kinesthetic intelligence, logical-mathematical intelligence, and naturalistic intelligence of multiple intelligence. Second, In comparison to the technological problem solving part, there were individual differences in self-regulation and there was a mild difference in understanding of the contents. Third, The multiple intelligence related with the self-regulation is continuous with logical-mathematical intelligence, intra-personal intelligence and linguistic intelligence. Fourth, The multiple intelligence related with the technological problem solving strategy is continuous with logical-mathematical intelligence and musical intelligence. Fifth, The multiple intelligence related with the understanding of the contents is continuous with the logical-mathematical intelligence and naturalistic intelligence. To improve the students' technological problem solving ability, it is required the development of the curriculum which focus on the improvement of logical-mathematical intelligence, musical intelligence, intra-personal intelligence, linguistic intelligence and naturalistic intelligence of the students.

A Study on the Improvement of Information Protection Policy to Prevent the Misuse of Personal Information : Based on the Results of the Monitoring Personal Information Misuse in Financial Companies (개인정보 오남용 예방을 위한 정보보호정책 개선에 관한 연구 : 금융회사의 개인정보 오남용 모니터링 결과 중심으로)

  • Kim, Young-ho;Kim, In-seok
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.6
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    • pp.1437-1446
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    • 2019
  • As a result of various personal information leakage incidents, the government implemented enhanced privacy protection measures, and financial companies are making efforts to periodically check whether personal information is misused according to government measures, but the problem of misuse of personal information is still not improved. The purpose of this study is to analyze the results of field experiments using the monitoring system for misuse of personal information and to suggest ways to improve the misuse problem. Based on the specific deterrence theory, this study examined the effects of misuse prevention according to the method of dealing with misusers, and analyzed the relationship between the duties of misusers and their years of service and misuse. It is expected that the analysis results of this study will be used for effective policy establishment.

A Study on Factors Influencing the Performance of the Knowledge Management System(KMS): Focused on Subjective Norm and Personality (지식관리시스템의 성과에 영향을 미치는 요인에 관한 연구: 주관적 규범, 성격특성을 중심으로)

  • Kang, Mun-Sang;Kang, Sung-Bae;Shin, Mun-Bong
    • Knowledge Management Research
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    • v.12 no.5
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    • pp.71-87
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    • 2011
  • This study focuses on influencing factors of TAM on personality, subjective norm and then examines the relationship between influencing factors such as KMS usage and system performance. The survey was collected from KMS users by e-mail and on-line questionnaire. Finally, 206 questionnaires were chosen for the analysis of data. It was analyzed by SPSS and AMOS for the frequency analysis, reliability analysis, CFA(Confirmatory Factor Analysis) and SEM(Structural Equation Modeling). The results were as follows. First, subjective norm is found to be especially important to KMS usage. Second, Extraversion positively moderated the relationship between subjective norm and perceived usefulness. Third, KMS usage is significant to personal performance such as knowledge growth, decision making and the ability of problem solving. This study proposed that the usage of Knowledge Management System positively contributes to the improvement of personal performance.

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Movie Recommendation System Based on Users' Personal Information and Movies Rated Using the Method of k-Clique and Normalized Discounted Cumulative Gain

  • Vilakone, Phonexay;Xinchang, Khamphaphone;Park, Doo-Soon
    • Journal of Information Processing Systems
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    • v.16 no.2
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    • pp.494-507
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    • 2020
  • This study proposed the movie recommendation system based on the user's personal information and movies rated using the method of k-clique and normalized discounted cumulative gain. The main idea is to solve the problem of cold-start and to increase the accuracy in the recommendation system further instead of using the basic technique that is commonly based on the behavior information of the users or based on the best-selling product. The personal information of the users and their relationship in the social network will divide into the various community with the help of the k-clique method. Later, the ranking measure method that is widely used in the searching engine will be used to check the top ranking movie and then recommend it to the new users. We strongly believe that this idea will prove to be significant and meaningful in predicting demand for new users. Ultimately, the result of the experiment in this paper serves as a guarantee that the proposed method offers substantial finding in raw data sets by increasing accuracy to 87.28% compared to the three most successful methods used in this experiment, and that it can solve the problem of cold-start.

A Study on Invasion of Privacy and Right to be forgotten by Internet Cookie Technology (인터넷 쿠키로 인한 프라이버시 침해와 잊혀질 권리에 관한 연구)

  • Choi, Younsung;Kwon, Oh-Geol;Won, Dongho
    • Journal of Internet Computing and Services
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    • v.17 no.2
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    • pp.77-85
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    • 2016
  • Internet cookie technology is designed for solving unreliable problem of HTTP's inherent property and notifying user's previous activity to web site's server, so it is useful to provide suitable service for individual user. However, the cookie techniques are becoming more sophisticated such as the third cookie and super cookie. And its included information is applied for advertisement and target marketing strategy, so the problem occurs that user's personal information is collected excessively. However, our law does not recognize the internet cookie as personal information so user cannot know where own internet cookie is stored and applicable. Therefore, in this paper, we explain the internet cookie technology, the privacy invasion and right to be forgotten for solving problem due to the internet cookie. And we analysis the relationship between the information of internet cookie and personal information, and then present the improvement requirement on the law and technology to use internet cookie securely and conveniently.

Intention to Use of Personal Cloud Services: Focusing on the Security Factors (보안요인을 중심으로 한 개인용 클라우드 서비스 사용의도)

  • Lee, Jae Seok;Kim, Kyoung-jae
    • Knowledge Management Research
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    • v.18 no.4
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    • pp.237-260
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    • 2017
  • Recently, with the proliferation of smart phones and mobile devices and the increase in the speed of mobile Internet, IT services are increasingly used in smart phones and mobile devices in a different way from the past. That is, a cloud service that downloads and uses data stored in the server in real time is expanding, and as a result, the security due to the continuous Internet connection of the user becomes a problem. In this study, we analyzed the relationship between factors affecting the continuous use of personal cloud service by using technology acceptance model. In addition to the technology acceptance model, confidentiality, privacy, accessibility, innovation, and self-efficacy were extracted from the existing research with emphasis on the characteristics of the cloud service and security factors. Moreover, the difference of intention to use among genders was verified through structural equation modeling with survey data from 262 personal cloud service users.