• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.524-539
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• 2022

With the advent of generative artificial intelligence technology, it became possible to create a virtual human, and produce a lecture video only with textual information. It is expected that the virtual human will enhance the efficient production of educational contents and the student's entertainment experience and satisfaction. However, there have been still few studies that have demonstrated the process of how virtual human technology reaches students' satisfaction. Therefore, the purpose of this study is to empirically examine whether the human likeness, which is the main characteristic of a virtual human based on Uncanny Valley theory, affects human experience and satisfaction. In particular, human likeness of the Uncanny Valley theory was subdivided into human likeness in the visual and verbal dimensions, and the process of reaching satisfaction was understood based on the experience economy model. In particular, human similarity in Uncanny Valley theory was classified as similarity in the visual and language levels, and the process of reaching satisfaction based on the experiential economic model was analyzed with a partial least squares structure model equation (PLS-SEM). The survey was conducted online for a panel of office workers at a specialized research institution in China. The results indicate that both the visual and verbal human likeness had a positive effect on experience economy factors (education, entertainment, esthetic, escape), and then these experiential factors had a significant effect on satisfaction. The results also provide some suggestions to consider when designing educational contents by virtual human.

• Korean Journal of Psychosomatic Medicine
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• v.30 no.1
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• pp.46-53
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• 2022

Objectives : This study aimed to assess the possible association of dental pain with suicidal ideation among adolescents by analysing data from the 2018 Korean Youth Risk Behavior Survey, a nationwide online survey. Methods : Of 62,823 adolescent middle and high school students in Korea, 60,040 participants were selected for analysis, after excluding cases with missing values. Participants were given a questionnaire about their self-evaluation of health including dental pain and suicidal ideation. Logistic regression analysis demonstrated the relationships between dental pain and suicidal ideation after controlling for potential confounding factors. Results : The proportion of Korean adolescents reporting suicidal ideation was 13.3%. The proportion of adolescents who experienced dental pain was 23.4%. Compared to adolescents who did not report dental pain, adolescents who reported experiencing dental pain were significantly more likely to experience suicidal ideation (OR=1.94, p<0.001). In two multivariate models, the relationships between dental pain and suicidal ideation (AOR=1.24, p<0.001) were statistically significant. Conclusions : Dental pain was associated with increased risk of suicidal ideation among Korean adolescents, even when controlling for sociodemographic factors and other health conditions. It is necessary to consider screening adolescent patients who present with dental pain for suicidal ideation.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.269-278
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• 2021

This study was inteded to include online social relations and ability use information and communication devices to analyze the elderly's participation in volunteer activities and provide basic data to identify the elderly's participation in volunteer activities. The statistical data of the 2017 National survey of Senior Citizen, only 10,073 people aged 65 or older were sampled out of 10,299 people. The participation rate of volunteering was frequently analyzed, and the difference in participation in volunteer according to the factors was Chi-square analysis and One-way variance analysis. A polynomial regression analysis was conducted to identify the effect factors of participation in volunteering. As a results. 3.9% of older adults are volunteering and 11.5% are experienced in the past. Participation in volunteer activity differed significantly depending on age, education level, economic level, subjective health, body function, ability use information and communication devices, social networks, frequency of face-to-face contact and frequency of non face contact. In the regression analysis, utilization of communication and device, social networking, face to face contact frequency were show to be the effect factors. In order to promote elderly's participation in volunteer activities, consideration of related resources reported in prior studies, social relations, frequency of face-to-face contact and ability to use information and communication devices is considered important.

• The Korean Journal of Archival Studies
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• no.72
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• pp.165-203
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• 2022

Many people create records in digital space, and the amount of digital records left after individual dies has increased. The digital record left by the deceased is different from the record heritage that has physical substances. In many cases, the records of the deceased not just belong to the deceased, and many deceased did not explicitly disclose their online accounts and method of dispose of digital records during their lifetime, so this problem may lead to problems of inheritance to the bereaved family. In addition, digital records may be neglected or deleted after a person's death due to software problems, specific platform's terms of use, account deletion by bereaved family, etc. This leads to the problem that daily records, which are important clues to the social aspects at the time, are easily lost. Several studies have revealed that individuals are interested in preserving their digital records, but do not know how to do it, so they are benign neglect. For this reason, it is necessary to pay attention to personal digital records and personal digital legacy, and to prepare related policies and plans. Accordingly, this study analyzes problems related to the management of digital records after an individual's death, related to laws and systems, the status and policies of platforms and industries, the status of personal record management, etc. Various solutions were suggested, such as a need for enactment for digital personal record management act, platform's explicit policy for individual's post-mortem records, digital records management plan for archival institutions, individual's a preemptive management plan for his/her own records, and a method for writing a will related to digital account information.

• Journal of Korean Society of Forest Science
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• v.111 no.2
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• pp.319-329
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• 2022

Using the structural equation model (SEM), this paper investigated the relations between the recognition of forest ecosystem services and the pro-environmental behavior with personal environmental commitment and environmental consciousness. The research data was collected from April 11 to 21, 2019, as an online survey by residents in Korea. 425(91.4%) of the total 465 copies were used as final analysis data, excluding insincere responses. Results showed that most respondents recognized forest ecosystem services as positive and recognition of forest ecosystem services has a positive impact on both environmental commitment and environmental consciousness. Moreover, cultural services positively affected both constructs more than supply and control services. The most significant total effect was the path of 'cultural services-environmental commitment-pro-environmental behavior'. Environmental commitment is more effective in inducing the behavior than environmental consciousness to those who consider forest ecosystem services significant. Even if forest ecosystem services are recognized as important, those with experience of commitment to the natural environment would have more intention of pro-environmental behavior. In conclusion, this study is meaningful in that it identified the hypothesized path relationship between the recognition of forest ecosystem services and the pro-environmental behavior and analyzed the antecedent factors.

• Journal of Korean Home Economics Education Association
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• v.34 no.3
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• pp.25-47
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• 2022

The purpose of this study is to develop a teaching and learning plan for parental understanding classes for middle school students and to investigate the effect of the classes on the parent-child relationship by implementing the class. The classes were conducted from July 5 to July 15, 2021, for the second graders of S middle school in Gwangju Metropolitan City, in a total of 6 sessions, i.e., 3 sessions per week for 2 weeks. The influence of classes on parent-child relationship was measured in terms of the understanding of the middle age, degrees of interaction, affection, and bond with parents. In order to analyze the impact of classes, pre- and post-class online surveys were conducted on 184 students who agreed to participate. For the collected quantitative data, descriptive statistics, reliability analysis, and pairwise t-tests were performed using the SPSS Ver 22.0 statistical program. According to the results, students' understanding of the developmental characteristics of middle age increased and the interaction between the students and their parents increased after the class. And the overall affection with the mother increased significantly. Also, students' bonds with both mother and father were significantly improved. Based on these results, the necessity and direction of home economics class were discussed to form a positive relationship between adolescent children and their parents.

• Journal of Intelligence and Information Systems
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• v.28 no.3
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• pp.161-183
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• 2022

Opinion polls have become a powerful means for election campaigns and one of the most important subjects in the media in that they predict the actual election results and influence people's voting behavior. However, the more active the polls, the more often they fail to properly reflect the voters' minds in measuring the effectiveness of election campaigns, such as repeatedly conducting polls on the likelihood of winning or support rather than verifying the pledges and policies of candidates. Even if the poor predictions of the election results of the polls have undermined the authority of the press, people cannot easily let go of their interest in polls because there is no clear alternative to answer the instinctive question of which candidate will ultimately win. In this regard, we attempt to retrospectively grasp public opinion on the 20th presidential election by applying the 'YouTube Analysis' function of Sometrend, which provides an environment for discovering insights through online big data. Through this study, it is confirmed that a result close to the actual public opinion (or opinion poll results) can be easily derived with simple YouTube data results, and a high-performance public opinion prediction model can be built.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.21-33
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• 2022

Recently, the recommender system has been widely used in various fields such as movies, music, online shopping, and social media, and in the meantime, the recommender model has been developed from correlation analysis through the Apriori model, which can be said to be the first-generation model in the recommender system field. In 2005, many models have been proposed, including deep learning-based models, which are receiving a lot of attention within the recommender model. The recommender model can be classified into a collaborative filtering method, a content-based method, and a hybrid method that uses these two methods integrally. However, these basic methods are gradually losing their status as methodologies in the field as they fail to adapt to internal and external changing factors such as the rapidly changing user-item interaction and the development of big data. On the other hand, the importance of deep learning methodologies in recommender systems is increasing because of its advantages such as nonlinear transformation, representation learning, sequence modeling, and flexibility. In this paper, among deep learning methodologies, RNN, CNN, and GAN-based models suitable for sequential modeling that can accurately and flexibly analyze user-item interactions are classified, compared, and analyzed.

• Journal of Naturopathy
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• v.11 no.2
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• pp.93-99
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• 2022

Background: It is necessary to understand the correlation between stress and depression according to eating habits in the elderly. Purposes: To empirically verify the mediating effect of eating habits in the relationship between stress and depression in the elderly. Methods: we distributed an 'online questionnaire' to men and women aged 60 or more living in large cities, medium, and small-sized cities in Korea using Google questionnaires, and 365 replies were collected and used for analysis. Results: First, we found that stress in the elderly directly affected depression. In summary, an increment in the stress level of the elderly induces an increment in the depression level. Second, the eating habits of the elderly indirectly mediated the relationship between stress and depression. Conclusions: This study is meaningful in that it has verified eating habits have a mediating effect on the relationship between stress and depression in the elderly, and healthy eating habits of individuals can reduce depression. Therefore, counseling institution must check their daily eating habits when counseling the degree of depression of the elderly. In addition, eating habits are affected by stress, and it is necessary to grasp the individual stress index for the elderly who has terrible eating habits. Furthermore, it is needed to provide continuous nutrition education in institutions and communities to have proper eating habits.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.567-574
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• 2021

This study confirmed factors affecting sexual autonomy with self-esteem and sexual awareness as variables to lay the foundation for nursing intervention that helps female college students grow into subjects who can promote safe sexual activity and sexual health. A self-administered online survey of 139 students from three Colleges was conducted from February 15 to 21, 2021. The data were analyzed using a t-test, ANOVA, Scheffe test, Pearson's correlation coefficients and hierarchical multiple regression. The significant predictors of sexual autonomy were self-esteem (𝛽=0.393, p<.001), experience of dating (𝛽=0.213, p=.008) and sexual consciousness (𝛽=0.175, p=.028) and their explanatory power was 22.1%. In order for female college students to have autonomy as sexual subjects, they must be able to have a positive sense of self-esteem that values themselves and healthy sexual consciousness. Furthermore, they must be able to have a positive experience of socializing with the opposite sex. Therefore, individual efforts and social support to promote self-esteem are required, and educational mediation is needed to contribute to the promotion of sexual autonomy through efficient communication between men and women with a healthy sexual consciousness