• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.601-613
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• 2016

The purpose of this study is to present the mental model of young adolescents' media environment and the use and to provide several educational suggestions drawing on the revealed model. For this, the data were collected through 4 activities such as interview, picture drawings, word association experiment, and sentence completion task with ten 4-5th graders in elementary schools; they were qualitatively analyzed by 2 researchers. First, the meaning components driven by sentence completion task, word association experiment were totally 6 components: media device, connection(alienation), competence(provision), entertainment, adverse effects, ambilaterality. Second, the components of media mental model driven by pictures were 4 components: functions/competence, entertainment, conflict with paper books/sharing, harmfulness/ambilaterality. Third, the components from interview consisted of conflict between paper books and electronic media, communication-centeredness, fear(addiction) and users' qualification. Based on those results, careful examination in cyber talk, necessity of addiction prevention, active development of learning media and their balanced utilization with books, and healthful media literacy education and reinforcement of critical thinking were suggested.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.818-834
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• 2014

The purpose of this study is to examine parents' mental model of media environment and children's media use and to provide some educational suggestions. For this purpose, twelve parents of second-graders to fourth-graders sampled in elementary schools were interviewed with three activities such as a word-association experiment, a sentence completion task and a in-depth interview. The result was categorized into 8 elements such as interaction, source of supply and adverse effects. Furthermore, the analysis on the mental model of media use shows that firstly, the parents understand modern media reflects competence while they have a feeling of fear and newness on media themselves. Secondly, the parents show an ambivalent understanding on media use in terms of both negative and positive effects and have a tendency to control them. Another finding is the fact that the parents understand digital media as a representation of both connection and disconnection. Also, the parents realize media as a cause of conflict and as a place for reconciliation as well. Finally, it is showed that media is not only a personal territory but also a part of social system in the parents' understanding. Based on these findings, some interpretations and parents' educational applications are provided in terms of the Meyrowitz(1998; 1999)'s three perspectives on media.

• Smart Media Journal
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• v.12 no.3
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• pp.9-18
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• 2023

Due to the deepening of COVID-19, high-intensity social distancing has been prolonged and many social problems have been cured. In particular, physical and psychological isolation occurred due to the non-face-to-face system and a lot of damage occurred. The various social problems caused by Corona acted as severe stress for all those affected by Corona 19, and eventually acted as a factor threatening mental health such as depression. While the number of people suffering from mental illness is increasing, the actual use of mental health services is low. Therefore, it is necessary to establish a system for people suffering from mental health problems. Therefore, in this study, depression detection and emergency detection models were constructed based on sensor information using smartphones from depressed subjects and general subjects. For the detection of depression and emergencies, VAE, DAGMM, ECOD, COPOD, and LGBM algorithms were used. As a result of the study, the depression detection model had an F1 score of 0.93 and the emergency situation detection model had an F1 score of 0.99. direction.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.462-473
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• 2017

This study suggested appropriate media educational model for the Korean situation based on the two previous research results concerning Korean media mental model which have abstracted from elementary schoolers and parents respectively living in and around Seoul. This looked through typical media educational model being in effect in Western countries such as Buckingham's creation-centered model, Hobbs' action-centered model, Potter's analysis-centered model and Vanhoozer's worldview-centered model, synthesized all the strengths of each model, and finally modified and reorganized this new model to reflect demanders' needs. Newly developed demander-centered educational model is a kind of circulation model consisting of a chain of the steps: worldview and viewpoints, use(access), analysis and evaluation, reflection, and social act; Each step borrowed the essential contents of each domain of objectives and tried to reflect the specific situations for Korean demanders. The needs for media use etiquette against addiction and cyberbullying were applied to the step of 'worldview and viewpoint', the needs for the educational status of books as media to 'use(access)', and the reality of highly used digital media to 'social act.'

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.3
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• pp.123-134
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• 2019

Objectives: The purpose of this study is to identify the problems of verbal violence that adolescents face in the post-human age, when the non-face-to-face media is increasing. Methods: A survey was conducted on 305 adolescents, aged 14 to 16 years of middle school and high school students. The data were analyzed with the SPSS 25.0. Results: As a result of conducting multiple regression analysis to identify the type of conversation that affects verbal abuse of adolescents, a model with a conversation with family, conversation with other people, messenger conversation such as KakaoTalk, and video chat conversation was selected. The amount of explanation was 11.4%. (R2 = .114) Of these, non-face-to-face conversations have been shown to increase verbal violence, and face-to-face conversations with family have, in turn, lowered the risk. As a result of t-testing to examine the effect of verbal abuse experience on the verbal violence index, the damage experience was significant in depression (p = .042) and impulsive aggression (p = .021). (P = .000). Conclusion: This study reiterates the importance of family dialogue along with the fact that the development of various non-face-to-face media in the Fourth Industrial Revolution can have a negative impact on adolescent mental health.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.153-172
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• 2021

This study is to create a deep learning based classification model to examine the characteristics of panic disorder and to classify the panic disorder tendency literature by the panic disorder corpus constructed for the present study. For this purpose, 5,884 documents of the panic disorder corpus collected from social media were directly annotated based on the mental disease diagnosis manual and were classified into panic disorder-prone and non-panic-disorder documents. Then, TF-IDF scores were calculated and word co-occurrence analysis was performed to analyze the lexical characteristics of the corpus. In addition, the co-occurrence between the symptom frequency measurement and the annotated symptom was calculated to analyze the characteristics of panic disorder symptoms and the relationship between symptoms. We also conducted the performance evaluation for a deep learning based classification model. Three pre-trained models, BERT multi-lingual, KoBERT, and KcBERT, were adopted for classification model, and KcBERT showed the best performance among them. This study demonstrated that it can help early diagnosis and treatment of people suffering from related symptoms by examining the characteristics of panic disorder and expand the field of mental illness research to social media.

• Korean Journal of Schizophrenia Research
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• v.23 no.2
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• pp.58-64
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• 2020

Objectives: In this study, we conducted an exploratory analysis of the current media trends on schizophrenia using text-mining methods. Methods: First, web-crawling techniques extracted text data from 575 news articles in 10 major newspapers between 2018 and 2019, which were selected by searching "schizophrenia" in the Naver News. We had developed document-term matrix (DTM) and/or term-document matrix (TDM) through pre-processing techniques. Through the use of DTM and TDM, frequency analysis, co-occurrence network analysis, and topic model analysis were conducted. Results: Frequency analysis showed that keywords such as "police," "mental illness," "admission," "patient," "crime," "apartment," "lethal weapon," "treatment," "Jinju," and "residents" were frequently mentioned in news articles on schizophrenia. Within the article text, many of these keywords were highly correlated with the term "schizophrenia" and were also interconnected with each other in the co-occurrence network. The latent Dirichlet allocation model presented 10 topics comprising a combination of keywords: "police-Jinju," "hospital-admission," "research-finding," "care-center," "schizophrenia-symptom," "society-issue," "family-mind," "woman-school," and "disabled-facilities." Conclusion: The results of the present study highlight that in recent years, the media has been reporting violence in patients with schizophrenia, thereby raising an important issue of hospitalization and community management of patients with schizophrenia.

• Journal of Korea Game Society
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• v.18 no.1
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• pp.27-38
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• 2018

Today, the field that actively utilizes HMD, which is a representative implementation device of virtual reality, is game. We have frequently used interface design using metaphor to user interface of HMD based virtual reality game. The purpose of this study is to find out the metaphor types that appear in the game interface of the virtual reality FPS genre of HMD devices, which is a new medium. As a result of research, the metaphor types appearing on multiple interfaces have navigation, predictability-based, familiarizing, and physical world metaphor in terms of information perception and predictability-based and familiarizing metaphor in term of control action. It is considered possible to construct a correct mental model. It is expected that the stability-based metaphor to prevent user mistakes and the presentation metaphor to identify the identity of information space will be needed in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.727-730
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• 2006

최근 휴대전화의 보급률이 증가하고, 많은 기능이 집약되면서 휴대전화 인터페이스는 HCI 분야에서 중요한 이슈가 되고 있다. 본 논문에서는 사용자 행위 모델링 기법인 GOMS를 사용하여 휴대전화의 계층 메뉴 구조를 분석하고 사용 시간을 예측하는 개선된 모델을 제시한다. 기존 연구에서는 계층메뉴 구조 내의 모든 작업을 숙련된 작업으로 가정하여 사용 시간 예측모델을 구성하였다. 하지만 실제로 휴대전화의 계층 메뉴 구조 내에는 사용자에게 숙련이 되는 작업과 숙련되지 않는 작업이 섞여 있기 때문에 모든 작업을 숙련된 작업으로 가정할 경우 정확한 사용 시간의 예측을 기대하기 힘들다. 본 논문에서는 계측 메뉴 구조의 정확한 사용시간 예측을 위해, 계층메뉴 상의 작업을 숙련된 작업과 숙련되지 않은 작업으로 분리하여 별도로 사용시간을 예측할 수 있는 방법을 제시한다. 이를 위하여 사용시간 예측모델에 필요한 정신적 준비시간(Mental Operator)의 종류를 제시하였으며 실험을 통해 이를 검증하였다.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.91-117
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• 2022

The number of depressed patients in Korea and around the world is rapidly increasing every year. However, most of the mentally ill patients are not aware that they are suffering from the disease, so adequate treatment is not being performed. If depressive symptoms are neglected, it can lead to suicide, anxiety, and other psychological problems. Therefore, early detection and treatment of depression are very important in improving mental health. To improve this problem, this study presented a deep learning-based depression tendency model using Korean social media text. After collecting data from Naver KonwledgeiN, Naver Blog, Hidoc, and Twitter, DSM-5 major depressive disorder diagnosis criteria were used to classify and annotate classes according to the number of depressive symptoms. Afterwards, TF-IDF analysis and simultaneous word analysis were performed to examine the characteristics of each class of the corpus constructed. In addition, word embedding, dictionary-based sentiment analysis, and LDA topic modeling were performed to generate a depression tendency classification model using various text features. Through this, the embedded text, sentiment score, and topic number for each document were calculated and used as text features. As a result, it was confirmed that the highest accuracy rate of 83.28% was achieved when the depression tendency was classified based on the KorBERT algorithm by combining both the emotional score and the topic of the document with the embedded text. This study establishes a classification model for Korean depression trends with improved performance using various text features, and detects potential depressive patients early among Korean online community users, enabling rapid treatment and prevention, thereby enabling the mental health of Korean society. It is significant in that it can help in promotion.