• Journal of Digital Convergence
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• v.19 no.1
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• pp.199-209
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• 2021

The purpose of this study was to analyze the factors that affect the satisfaction of smart seniors using smartphone delivery applications. We established the hypothesis by dividing the factors that will affect the satisfaction of smart seniors using smartphone delivery applications into the characteristics of the delivery app and the personal characteristics of the smart senior. In order to verify the hypothesis, we surveyed adult men and women aged 50 to 65 years old who had experience using delivery apps, and we performed confirmatory factor analysis, correlation analysis, and path analysis to perform statistical processing for data analysis. The analysis results are as follows. First, we found that usefulness among the characteristics of delivery app had a statistically significant positive effect on the delivery app satisfaction of smart seniors. Second, we found that social empathy among the personal characteristics of smart seniors had a statistically significant positive effect on the delivery app satisfaction of smart seniors. Third, we found that delivery app satisfaction had a statistically significant positive effect on reuse intention. Based on research result, we suggested that in order to improve the satisfaction and use of delivery app by smart seniors, it is necessary to develop delivery app that can be usefully used by smart seniors and focus on social empathy.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.315-325
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• 2021

This study conducted a questionnaire survey on 280 people who had experience of using mobile augmented reality-based online concerts. Using the SPSS 21.0 and AMOS 21.0 programs, the factors affecting the intention to reuse were investigated through statistical analysis(correlation analysis, path analysis, etc.). The main results are as follows. First of all, Presence and interactivity had a positive effect on flow, perceived ease of use and perceived usefulness. Flow had a positive effect on perceived ease of use and perceived usefulness. Perceived ease of use had a positive effect on perceived usefulness, and perceived usefulness had a direct positive effect on intention to reuse whereas perceived ease of use had an indirect effect on intention to reuse through perceived usefulness. In order to increase the intention to reuse of the mobile augmented reality-based online concert, it is necessary to prepare a plan to increase the level of presence, interactivity, and flow experienced by users. This study identified factors that affect the intention to reuse online concerts based on mobile augmented reality in an untact society. Therefore, it will be meaningful in that it presents the implications necessary to prepare a plan that can be efficiently accepted by consumers for the rapidly growing mobile augmented reality-based online concert.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.27-35
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• 2022

The purpose of this study is to analyze the metaverse-related issues in the news big data from an educational perspective, explore their characteristics, and provide implications for the educational applicability of the metaverse and future education. To this end, 41,366 cases of metaverse-related data searched on portal sites were collected, and weight values of all extracted keywords were calculated and ranked using TF-IDF, a representative term weight model, and then word cloud visualization analysis was performed. In addition, major topics were analyzed using topic modeling(LDA), a sophisticated probability-based text mining technique. As a result of the study, topics such as platform industry, future talent, and extension in technology were derived as core issues of the metaverse from an educational perspective. In addition, as a result of performing secondary data analysis under three key themes of technology, job, and education, it was found that metaverse has issues related to education platform innovation, future job innovation, and future competency innovation in future education. This study is meaningful in that it analyzes a vast amount of news big data in stages to draw issues from an education perspective and provide implications for future education.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.383-395
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• 2021

The purpose of this study is based on Pine and Gilmore's (1998) Experiential Economic Theory (4E's). This study mediates the perceived value of the experience factors (entertainment, aesthetic, deviant and educational experience) of Untact fashion and beauty performances. The impact on customer satisfaction was analyzed a total of 230 questionnaires were collected for visitors to the 15th Untact 'Asia Model Festival', which were successfully held in Seoul in 2020. The statistical analysis method used the SPSS 21.0 statistical program. As a result of the study, it was found that the experience factors had a significant effect on perceived value and customer satisfaction. In addition, perceived value was found to have a significant effect on customer satisfaction, and perceived value as a parameter was found to partially mediate the effect of experience factors on customer satisfaction. By studying the empirical analysis in this way, practical implications were presented and basic data that could be used for reference to related research were provided. However, future research should contribute to academic development through research on variables not covered in this research, and research on various untact performances should be continued.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.199-209
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• 2020

"Positive Influence(PI)" of popular star has recently emerged as a social concern, but the lack of prior research has led to confusion over its concept and range of activity. On this point, this study carried out to lay the groundwork for discussions on the systematization of related theories, focused on identifying the current situations by analyzing articles for 15 months from January 2019 to March 2020 when related reports were in full swing. As a result of the analysis of the remarks from the entertainers mentioned in the articles, they were not clearly aware of the concept while doing good deeds under the name of PI in light of the study outcome by Aegean and Singer(2013). The motivations for good deed were classified into six types, including difficulty empathy, fandom reward, participation urge, nidana emphasis, experience subjugation, and memory evocation in the order of frequency of cases. Specific behaviors of PI were followed by donations of money and valuables for 54.4 percent, participation of social agendas for 14.0 percent, volunteering for 13.2 percent, joining campaign for 11.4 percent, other good deeds for 4.0 percent, and philanthropy for 3.0 percent. In occupational analysis, the concentration of donations was also evident. Their activities in the fields of human rights sensitivity, environmental protection and self-management, which are expected to have great effects with their influence, have been extremely poor. The results of the study first require academia to establish a interdisciplinary concept for PI. It also suggests that entertainers and their agencies should take far more strategic approach to evolve the PI event in a way that utilizes the advantages of each job group, such as actors, singers and comedians, and expands the diversity of areas.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.251-257
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• 2022

Nowadays, the issues of comprehensive formation of a person capable of self-education, self-development and creative self-realization in the conditions of distance education are relevant. There is a need to solve this problem, which is due to social, cultural, and pedagogical factors. This makes it necessary to find effective means of personality formation. In this matter, great importance is attached to the modern method of forming a creative personality - art therapy. Various approaches to the definition of art therapy have been clarified. They consider various forms of art therapy when working with children, adolescents and adults in the context of distance education. The most relevant are the two main forms of work - individual and group art therapy. Art therapy develops the individual's creativity. Therefore, during art therapy, attention is focused on the inner world, experiences, and feelings. Therefore, we believe that in the context of distance education, art therapy has everything for the powerful potential of personality formation. Scientists consider this therapy as therapy by means of art, which is based on experiences, conflicts that can be expressed in the visual arts and music. Art therapy helps to get rid of conflicts and experiences. This happens in the context of distance education through the development of attention to feelings, strengthening one's own personal value and increasing artistic competence. The article describes the signs that characterize art therapy. Art-therapeutic technologies in the context of distance education, which are now actively used by psychologists, teachers and art therapists themselves, are highlighted. The advantages of distance learning are considered. The characteristic features of distance learning and features of the use of art therapy by means of distance education in the process of professional training of specialists are determined.

• Journal of Bio-Environment Control
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• v.31 no.3
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• pp.212-220
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• 2022

When it comes to single node leafy stem cuttings of rose (Rosa hybrida), environmental management such as air temperature, relative humidity, and light affect productivity. In order to investigate the effect of air temperature and relative humidity on the cutting success rate and rooted cuttings quality, a transparent airtight box was used to implement a closed system. We have also tried to find out the most effective photoperiod and the number of leaflets in closed system using artificial light (white LED, 104.0 µmol·m^-2·s^-1 photosynthetic photon flux density). The first experiment was conducted for a total of 6 weeks under 4 airtight period conditions. The number of roots and longest root length decreased as the airtight period increased. But there were no significant differences in the survival rate, shooting rate, and rooting rate according to airtight periods. In the second experiment the results indicated that survival and shooting rate were significantly affected by the photoperiod (0/24, 2/22, 4/20, 8/16, and 16/8 h), the number of leaflets (0, 2, and 4 leaflets) of the cuttings and their interaction. The survival rate was the highest in the 16-h day length and 4 leaflets. By considering survival rate and shooting rate with energy efficiency, the 8-h day length and 2 or 4 leaflets were judged to be the most effective.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.77-84
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• 2022

This study aims to present a method for implementing a decision support system that can be used for selecting emerging technologies by applying a machine learning-based automatic classification technique. To conduct the research, the architecture of the entire system was built and detailed research steps were conducted. First, emerging technology candidate items were selected and trend data was automatically generated using a big data system. After defining the conceptual model and pattern classification structure of technological development, an efficient machine learning method was presented through an automatic classification experiment. Finally, the analysis results of the system were interpreted and methods for utilization were derived. In a DTW-kNN-based classification experiment that combines the Dynamic Time Warping(DTW) method and the k-Nearest Neighbors(kNN) classification model proposed in this study, the identification performance was up to 87.7%, and particularly in the 'eventual' section where the trend highly fluctuates, the maximum performance difference was 39.4% points compared to the Euclidean Distance(ED) algorithm. In addition, through the analysis results presented by the system, it was confirmed that this decision support system can be effectively utilized in the process of automatically classifying and filtering by type with a large amount of trend data.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.1-13
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• 2022

Although the number of venture start-ups has increased significantly, it is difficult to judge the success or failure based on short-term performance alone. The survival of a company cannot be guaranteed if it does not show sustainable growth prospects. As a growth factor for venture companies, the level of technology commercialization capability and competitive strategies are considered important. Recently, the emergence of innovative business models is creating new opportunities and driving the growth of numerous venture start-ups. This study tried to investigate the mediating effect of business model innovation in the relationship between technology commercialization capability, competitive strategy and the growth prospects of venture companies. For this, empirical analysis was conducted using the original data of the Research on the Precision Status of Venture Firms 2021. As a result, production, manufacturing, marketing capability, cost leadership and product differentiation had a positive(+) effect on growth prospects. The mediating effect of business model innovation between all factors except for manufacturing capacity and growth prospects was verified. This study expanded the scope of research by shedding new light on the factors influencing the long-term growth prospects of venture companies and revealing business model innovation as a new mediating variable. In future research, it is necessary to develop an objective measurement tool and to identify differences according to industrial characteristics.

• Journal of Nutrition and Health
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• v.55 no.5
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• pp.558-571
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• 2022

Purpose: The purpose of this study was to analyze the dietary intake of Korean adults with atopic dermatitis (AD) to determine whether the risk of developing AD was related to their diet. Methods: Among the participants in the 7th National Health and Nutrition Survey (2016 to 2018), 10,571 adults aged 19-64 were divided into AD (AD group, n = 366) and control groups (non-AD group, n = 10,205) to compare and analyze their nutrient intake status and Korean Healthy Eating Index (KHEI) score. Depending on the prevalence of AD, the nutrient intake, nutrient intake per 1,000 kcal, acceptable macronutrient distribution range, and KHEI score were tested for significance by correcting for age, sex, body mass index, education, marriage, occupation, residence area, physical activity, and energy intake variables that were derived for confounding factors. Results: The acceptable macronutrient distribution range for protein was lower in the AD group than in the non-AD group. Comparing the nutrient intake per 1,000 kcal, the intakes of protein, phosphorus, iron, and potassium of the AD group were significantly lower than those of the non-AD group. In the KHEI, the scores of total vegetables, vegetables excluding kimchi and pickles, meat, fish, eggs, and legumes of the AD group were significantly lower than those of the non-AD group. In addition, as these food intake scores increased, the risk of AD significantly decreased. Conclusion: In conclusion, adult AD patients had low intakes of vegetables, meat, fish, eggs, and legumes, and it was confirmed that high intakes of these foods may be associated with low AD risk. Therefore, we suggest that an adequate intake of vegetables and foods containing protein would be necessary for the management and treatment of AD in adults.