• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.103-114
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• 2022

Global virtual reality (VR) and augmented reality (AR) markets are growing as VR and AR become a new source of revenue for industries around the world. In the edutech sector, an industry that combines traditional education, research on new innovative educational models and business models are scarce, and improvements are needed in the technology group and business environment to realize edutech in detail. Therefore, this study aims to define the elements strategically required for VR Toon development by comparing and analyzing the characteristics of existing touch panel-based display Toon and VR Toon content experiences. Tablet PC Toon and VR Toon were selected to conduct the research. Thirty people (19 men and 11 women) from their teens through their forties were surveyed using questionnaires. The questionnaires were formulated through a quantitative method by using AttrakDiff with a 7-point scale (-3: negative words to 3: positive words). Qualitative evaluations were also performed addressing nine concepts (satisfaction, novelty, operability, creativity, understanding, education, interest, participation, expressiveness). As a result, the usability test results of educational content using tablet personal computers and VR equipment were analyzed from the viewpoint of user experience to define elements expected to be strategically required for VR Toon development.

• Korean Association of Arts Management
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• no.53
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• pp.179-206
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• 2020

The objective of this study is to derive key factors of commentaries in classical music concerts with commentaries and to measure the importance of each attribute, thereby presenting the characteristics of commentaries and commentators as well as suggestions to concert planners in terms of composition. In addition, by developing a scale that can measure classical commentary, a questionnaire is provided so that concert planners can plan programs that gathered the opinions of the audience. To this end, the first, second and third rounds of the Delphi survey and AHP were applied to concert planners, musicians (performing artists), and academic experts. A questionnaire was developed based on the results, and the survey was verified by conducting a pilot test with the general audience. The results of this study can be summarized as follows: First, the purpose of commentaries must be focused on arousing the audience's interest rather than on delivering information. Second, commentators must meet the auditory satisfaction of the audience with a good voice and clear pronunciation based on impeccable vocalization. Third, commentaries must be concise, with the commentaries appearing at least five times per concert, each of which must not exceed five minutes. Fourth, as a result of the pilot test, this study derived 14 items to rate commentary skills across four factors: four items for "arousing interest," three items for "delivering information," three items for "favorability," and four items for "expressiveness." Based on these results, the authors of study presented effective implications for concert planning.

• Research in Community and Public Health Nursing
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• v.9 no.2
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• pp.502-517
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• 1998

This research intends to survey family environment, health behavior and health status of the students in urban-rural elementary schools and analyze those factors comparatively, and use the result as basic material for school health teacher to teach health education in connection with family and regional areas. It also intends to improve a pupil's self-abilitiy in health care. The subjects involve 2,774 students of urban elementary schools and 583 student in rural ones, who were selected by means of a multi -stage probability sampling. Using the questionnaire and school documents, we collected data on family environment, health behavior and health status for 19 days. Feb. 2nd 1998 through Feb. 20th 1998. The R -form of Family Environment Scale (Moos, 1974) was used in the analysis of family environment(Cronbach's Alpha =0.80). Questionnaires of Health Behavior in School-aged children used by the WHO in Europe(Aaro et al., 1986) and the ones developed by the Health Promotion Committee of the Western Pacific(WHO, 1995)(adapted by long Young-suk and Moon Young-hee(1996)) were used in the analysis of health behavior, as well documents on absences due to sickness, school health room-visits, levels of physical strength, height, weight and degree of obesity were used to determine health status. In next step, We used them with an $X^2$-test, t-test, Odds Ratio, and a 95% Confidence Interval. 1. In two dimensions of three, family-relationship (t=3.41, p=0.001) and system -maintenances(t= 2.41, p=0.0l6) the mean score of urban children were significantly higher than those of rural ones. In the personal development dimension however, there was little significant difference. Assorting family environment into 10 sub-fields and analyzing them, we recognized that urban children were superior to rural children in the sub-fields of expressiveness (t =3.47, p=0.001), conflict (t=0.48, p=0.001), active-recreational orientation (t = 1.97, p=0.049) and organization (t=4.33, p=0.000). 2. Referring to the Odds Ratios of urban-rural children's health behaviors, urban children set up more desirable behavior than rural children wear ing safety belts (Odds Ratio =0.32, p=0.000), washing hands after meals(Odds Ratio = 0.43, p= 0.000), washing hands after excreting (Odds Ratio = 0.39, p=O.OOO), washing hands after coming - home ( Odds Ratio = 0.75, p = 0.003), brushing teeth before sleeping(Odds Ratio =0.45, p=0.000), brushing teeth more than once a day (Odds Ratio =0.73, p=0.0l2), drinking boiled water (Odds Ratio = 0.49, p=0.000), collecting garbage at home(Odds Ratio=0.31, p=0.000) and in the school(Odds Ratio =0. 67, p=0.000). All these led to significant differences. As to taking milk(Odds Ratio = 1.50, p=0.000), taking care of eyesight(Odds Ratio=1.41, p=0.001) and getting physical exercise in(Odds Ratio = 1.33, p=0.0l9) and outside the school(Odds Ratio = 1.32, p=0.005), rural children had more desirable behavior which also revealed a significant difference. There was little significant difference in smoking, but the smoking rate of rural children(5.5%) was larger than that of urban children(3.9%). 3. Health status was analyzed in terms of absences, school health room-visits, levels of physical strength, and the degree of obesity, height and weight. Considering Odds Ratios of the health status of urban-rural children, the health status of rural children was significantly better than that of the urban ones in the level of physical strength(t=1.51, p=0.000) and the degree of obesity(t=1.84, p=0.000). The mean height of urban children ($150.4{\pm}7.5cm$) is taller than that of their counterparts($149.5{\pm}7.9$), which revealed a significant difference (t =2.47, p=0.0l4). The mean weight of urban children($42.9{\pm}8.6kg$) is larger than that of their counterparts($41.8{\pm}9.0kg$), which was also a significant difference(t=2.81, p=0.005). Considering the results above, we can recognize that there are significant differences in family environment, health behavior, and health status in urban-rural children. These results also suggestion ideas for health education. What we would suggest for the health program of elementary schools is that school health teachers should play an active role in promoting the need and importance of health education, develop the appropriate programs which correspond to the regional characteristics, and incorporate them into schools to improve children's ability to manage their own health management.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.2
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• pp.163-174
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• 1997

This study was to know the influence of familial environment and moral development on conduct disorder. Subjects were composed of 47 male and female patients with conduct disorder(patients group), 113 general male and female students(normal group), and 173 juvenile prisoners(JP group). The Korean Form of the Family Environment Scale(FES) was used to assess the family environment of the subjects and the Korean Defining Issues Test(DIT) was used to assess the moral development. Conduct disorder was diagnosed with the DSM-III-R criteria for conduct disorder. The influence of familial environment and moral development on conduct disorder was analyzed with ANOVA and the differences among groups were verified with Scheffe test. There was no difference in the socioeconomic status and the physical abuse by the parents among the three groups. But the rates of divorce or separation of the parents were significantly highest in the JP group and higher in the patients group than in the normal group. Especially the subjects of the JP group experienced the divorce or separation of their parents during the preschool or the elementary school periods. In regard to the family environment, there was no difference among the three groups in the Subscales of Expressiveness, Independence, Intellectual-cultural orientation, Moral-religious emphasis, Organization, and Control. ‘Cohesion Subscale’ was significantly higher in the normal group than in the JP group. ‘Conflict Subscale’ was significantly higher in the JP and patients groups than in the normal group. ‘Achievement orientation Subscale’ was significantly lower in the JP group than in the patients and normal groups. ‘Activerecreational orientation’ was significantly lower in the normal group than in the JP and patients groups. In gegard to the moral developmental stage, the lower moral developmental step was higher in the JP and patients groups than in the normal group. The higher steps were significantly higher in the normal group than in the JP group. There was no significant correlation between the degree of ‘Moral-religious emphasis Subscale’ and the moral development. The clinical implication and limitation of present study were listed and discussed.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.10 no.1
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• pp.100-112
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• 1999

Objective：In life-long disabilities like autism and mental retardation, the authors thought that it is important for clinician to consider the quality of life of a primary caregiver for long-term management and prognosis. This study was to investigate the factors of children and family environment affecting the quality of life and depression in mothers with autistic and/or mentally retarded children. Methods：41 autistic and/or mentally retarded children aged 5-12 years with their mothers were surveyed from September, 1998 to January, 1999, with K-CBCL, K-BDI, K-FES, and K-SBQOL scale and compared with data from 35 normal control subjects. Results：1) Total K-BDI and K-SBQOL scores of mothers with mentally handicapped children were significantly poorer than the scores of normal control group. Independence, intellectual/cultural orientation and active recreation subscales of K-FES in mentally handicapped children were significantly decreased than those in normal control group. 2) Total K-BDI score of mothers with mentally handicapped children was correlated with their children’s behavioral problems, especially internalizing and thought symptoms, and with family cohesion, expressiveness, conflict and independence. 3) Totol K-SB quality of life score of mothers with mentally handicapped children was correlated with their children’s behavioral problems, especially attention problem, and with family cohesion, conflict, independence, intellectual/cultural orientation, and moral-religional emphasis. 4) The quality of life of mothers with mentally handicapped children was predicted by attention problem($R^2$=.36, p=.000) and social competence($R^2$=.07, p=.038) in children and family cohesion ($R^2$=.16, p=.001). 5) Depression of mothers with mentally handicapped children was predicted by internalizing symptom ($R^2$=.21, p=.003) and thought disorder($R^2$=.06, p=.048) in children and family cohesion($R^2$=.14, p=.008). Conclusion：Reducing behavioral problems and family therapeutic intervention in autistic and mentally retarded children can improve the quality of life of primary caregivers and long-term prognosis of the children, although those are not curative.

• Journal of Korean Theatre Studies Association
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• no.53
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• pp.31-56
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• 2014

If we define theatre as an infinite tower piled up by smoke, the strata of the organic composition of an actor's/actress' body-mind-spirit, may not only be complicatedly worked out, but it seems to belong to a non-scientific realm. However and at the same time, it is also true that the audience is eager to witness a certain kind of specific vitality from the actor/actress on stage. Of course the vitality is hard to be prescribed. Simply we call it a texture of energy, nuance of existence, or much simpler, an actor's/actress' 'aura'. That is, the existential nuance of the actor/actress. The nuance, which is surging from the actor's/actress' authentic presence, ultimately comes out of, not the circumstantial interpretation of the production but the power of its integration. We can find from the works of Meyerhold, Grotowsky and Barba the theatrical fact that the actor's aura can be obtained by a kind of artificiality rather than innate characteristics of existence. These directors commonly regard theatre as the actor's/actress' theatre. Respectively choosing his own specific methods of expression, they unexpectedly meet in a same spot in which actor's/actress' theatre can be realized by the rediscovery of the actor's/actress's body-form. In other words, their approaching methods to theatre look alike, at least in that abandoning reserving any natural, unconscious, economic body-form of an actor/actress, they rather try to discover a certain kind of 'technical' body-form. The form which is totally non/un-conscious, unfamiliar and non-economical. Their research process explores an ideal body-form, and this thesis focuses on this point. For this work, I bring the notion of 'liminality' that connotes the praxis for essential presence of the actor/actress as well as the incubating time and space nacessary for his/her rebirth. And for developing this work, I ask: Could not the actor's/actress' consciousness and the spatiotemporal dimensions (s)he meets, be possibly defined as the core of liminality, only in case that (s)he requires them in the process of, either exploring the unfamiliar body or familiarising with the unfamiliar body-form? As I mentioned above, the three frontiers' theatrical journey is similar in part. For example, three all start from the actor's/actress' consciousness and then go through the body enlarged with it. Then they continue their journey, but different from one another. Meyerhold still uses the conscious body. But now he transforms it into a kind of mobilized sculptures. In comparison with Meyerhold's use of the consciousness, Grotowsky puts his emphasis on an autonomous body which, if necessary, cast away even the innate consciousness. Likewise, to Barba, theatre always starts from the actor/actress who has already taken off all kinds of conventions. (Conventions should be re-designed!) The actor/actress therefore recreates him/herself as his/her body-mind wears a new, unfamiliar, readjusted form and vitality. And then this restructured body-mind may unceasingly aim at exploring its vitalized 'positive organism', that is the waves of self-centering energy, an existential nuance, and an authentic (or maybe behavioral) expressiveness. Now it seems clear that the liminal process for the frontiers' theatrical journey could be equalized as a profound process of self-penetration, self-transformation, and self-realization. This thesis explores the mystic realm of liminality.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.64-78
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• 2024

Storytelling is a communication technique to express and convey the story using various media, where the audience accepts the story, reinterprets the topic and interacts with the storyteller. It was assumed that the user's significance and awareness about the storytelling technique applied to historical theme parks would have an impact on the satisfaction of using the theme park and intention to revisit. In this study, it was purposed to derive the structural factors of spatial storytelling in historical theme parks, and to understand the impact of user's awareness and constituent factors on user responses. Based on previous researches, the structural factors of spatial storytelling in historical theme parks were derived related to theme, experientiality, unusualness, educationalness, unity, expressiveness, interactivity, and interest, and for which the users' awareness was surveyed. The survey was conducted targeting the users of Samguk Yusa Theme Park located in Gunwi-gun, Gyeongsangbuk-do, where the collected data was analyzed using EXCEL2020 and SPSS 21.0 statistical programs, and the results are as follows: First, the spatial storytelling technique applied as a conveying method of the theme of Samguk Yusa Theme Park affects users' satisfaction and intention to revisit, and most respondents responded that the storytelling was significant. Second, it showed that the significance of unusualness and educationalness among the awareness of significance of the spatial storytelling constituent factors of Samguk Yusa Theme Park has a significant impact on user's satisfaction, and the significance of unusualness, interactivity, educationalness, and interest has a significant impact on intention to revisit. Third, it showed that the awareness of interest, theme, and unity has a significant impact on user's satisfaction depending on the user's awareness of spatial storytelling constituent factors of Samguk Yusa Theme Park, and the awareness of interactivity and experientiality has a significant impact on intention to revisit. This study is meaningful in quantitative analysis and interpretation of the influence of storytelling on user's response to historical theme parks by the exploratory analysis of characteristic factors and spatial storytelling constituent factors on historical theme parks and deriving the structural factors of spatial storytelling in historical theme parks.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.25-38
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• 2019

Selecting high-quality information that meets the interests and needs of users among the overflowing contents is becoming more important as the generation continues. In the flood of information, efforts to reflect the intention of the user in the search result better are being tried, rather than recognizing the information request as a simple string. Also, large IT companies such as Google and Microsoft focus on developing knowledge-based technologies including search engines which provide users with satisfaction and convenience. Especially, the finance is one of the fields expected to have the usefulness and potential of text data analysis because it's constantly generating new information, and the earlier the information is, the more valuable it is. Automatic knowledge extraction can be effective in areas where information flow is vast, such as financial sector, and new information continues to emerge. However, there are several practical difficulties faced by automatic knowledge extraction. First, there are difficulties in making corpus from different fields with same algorithm, and it is difficult to extract good quality triple. Second, it becomes more difficult to produce labeled text data by people if the extent and scope of knowledge increases and patterns are constantly updated. Third, performance evaluation is difficult due to the characteristics of unsupervised learning. Finally, problem definition for automatic knowledge extraction is not easy because of ambiguous conceptual characteristics of knowledge. So, in order to overcome limits described above and improve the semantic performance of stock-related information searching, this study attempts to extract the knowledge entity by using neural tensor network and evaluate the performance of them. Different from other references, the purpose of this study is to extract knowledge entity which is related to individual stock items. Various but relatively simple data processing methods are applied in the presented model to solve the problems of previous researches and to enhance the effectiveness of the model. From these processes, this study has the following three significances. First, A practical and simple automatic knowledge extraction method that can be applied. Second, the possibility of performance evaluation is presented through simple problem definition. Finally, the expressiveness of the knowledge increased by generating input data on a sentence basis without complex morphological analysis. The results of the empirical analysis and objective performance evaluation method are also presented. The empirical study to confirm the usefulness of the presented model, experts' reports about individual 30 stocks which are top 30 items based on frequency of publication from May 30, 2017 to May 21, 2018 are used. the total number of reports are 5,600, and 3,074 reports, which accounts about 55% of the total, is designated as a training set, and other 45% of reports are designated as a testing set. Before constructing the model, all reports of a training set are classified by stocks, and their entities are extracted using named entity recognition tool which is the KKMA. for each stocks, top 100 entities based on appearance frequency are selected, and become vectorized using one-hot encoding. After that, by using neural tensor network, the same number of score functions as stocks are trained. Thus, if a new entity from a testing set appears, we can try to calculate the score by putting it into every single score function, and the stock of the function with the highest score is predicted as the related item with the entity. To evaluate presented models, we confirm prediction power and determining whether the score functions are well constructed by calculating hit ratio for all reports of testing set. As a result of the empirical study, the presented model shows 69.3% hit accuracy for testing set which consists of 2,526 reports. this hit ratio is meaningfully high despite of some constraints for conducting research. Looking at the prediction performance of the model for each stocks, only 3 stocks, which are LG ELECTRONICS, KiaMtr, and Mando, show extremely low performance than average. this result maybe due to the interference effect with other similar items and generation of new knowledge. In this paper, we propose a methodology to find out key entities or their combinations which are necessary to search related information in accordance with the user's investment intention. Graph data is generated by using only the named entity recognition tool and applied to the neural tensor network without learning corpus or word vectors for the field. From the empirical test, we confirm the effectiveness of the presented model as described above. However, there also exist some limits and things to complement. Representatively, the phenomenon that the model performance is especially bad for only some stocks shows the need for further researches. Finally, through the empirical study, we confirmed that the learning method presented in this study can be used for the purpose of matching the new text information semantically with the related stocks.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.95-112
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• 2021

In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.