• Archives of design research
• /
• v.15 no.1
• /
• pp.163-170
• /
• 2002

Virtual Reality is the technique which makes the man experience the similar interaction behavior to the experience in the real world through virtual space. The users participating in the 3D virtual space using virtual reality technique can have the various experiences in the space desired without restrictions on time and space and then it has been applied in many application areas such as video industry, entertainment simulator, medical treatment, construction and design. The area of video among them has been highlighted as a high-added value industry. Therefore this study classifies video industry into four including movie, broadcasting, advertisement and internet and is to examine their characteristics, application cases and developmental potential. In the industry using virtual reality technique in video industry, it is implied for special elect in the area of movie and for providing the various graphic virtual word to audiences with the introduction of virtual studio and character in the area of broadcasting. It can give audiences a synergy effect by inserting 3D advertisement into virtual space in the area of advertisement. Also the implementation of 3D virtual reality such as virtual museum, virtual model house, virtual home shopping and entertainment on the web is possible with the emergence of Virtual Reality Modeling Language (VRML) and it plays the roles of more entertainments. Accordingly, this study is to seek the application methods using virtual reality technique in video industry.

• Asia pacific journal of information systems
• /
• v.19 no.1
• /
• pp.113-145
• /
• 2009

Recently, due to the globalization of the IT(Information Technology) market, devices and systems designed in one country are used in other countries as well. This phenomenon is becoming the key factor for increased interest on cross-cultural, or cross-national, research within the IT area. However, as the IT market is becoming bigger and more globalized, a great number of IT practitioners are having difficulty in designing and developing devices or systems which can provide optimal experience. This is because not only tangible factors such as language and a country's economic or industrial power affect the user experience of a certain device or system but also invisible and intangible factors as well. Among such invisible and intangible factors, the cultural characteristics of users from different countries may affect the user experience of certain devices or systems because cultural characteristics affect how they understand and interpret the devices or systems. In other words, when users evaluate the quality of overall user experience, the cultural characteristics of each user act as a perceptual lens that leads the user to focus on a certain elements of experience. Therefore, there is a need within the IT field to consider cultural characteristics when designing or developing certain devices or systems and plan a strategy for localization. In such an environment, existing IS studies identify the culture with the country, emphasize the importance of culture in a national level perspective, and hypothesize that users within the same country have same cultural characteristics. Under such assumptions, these studies focus on the moderating effects of cultural characteristics on a national level within a certain theoretical framework. This has already been suggested by cross-cultural studies conducted by scholars such as Hofstede(1980) in providing numerical research results and measurement items for cultural characteristics and using such results or items as they increase the efficiency of studies. However, such national level culture has its limitations in forecasting and explaining individual-level behaviors such as voluntary device or system usage. This is because individual cultural characteristics are the outcome of not only the national culture but also the culture of a race, company, local area, family, and other groups that are formulated through interaction within the group. Therefore, national or nationally dominant cultural characteristics may have its limitations in forecasting and explaining the cultural characteristics of an individual. Moreover, past studies in psychology suggest a possibility that there exist different cultural characteristics within a single individual depending on the subject being measured or its context. For example, in relation to individual vs. collective characteristics, which is one of the major cultural characteristics, an individual may show collectivistic characteristics when he or she is with family or friends but show individualistic characteristics in his or her workplace. Therefore, this study acknowledged such limitations of past studies and conducted a research within the framework of 'theoretically integrated model of user satisfaction and emotional attachment', which was developed through a former study, on how the effects of different experience elements on emotional attachment or user satisfaction are differentiated depending on the individual cultural characteristics related to a system or device usage. In order to do this, this study hypothesized the moderating effects of four cultural dimensions (uncertainty avoidance, individualism vs, collectivism, masculinity vs. femininity, and power distance) as suggested by Hofstede(1980) within the theoretically integrated model of emotional attachment and user satisfaction. Statistical tests were then implemented on these moderating effects through conducting surveys with users of four digital devices (mobile phone, MP3 player, LCD TV, and refrigerator) in three countries (US, Germany, and Russia). In order to explain and forecast the behavior of personal device or system users, individual cultural characteristics must be measured, and depending on the target device or system, measurements must be measured independently. Through this suggestion, this study hopes to provide new and useful perspectives for future IS research.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.19 no.4
• /
• pp.231-241
• /
• 2024

Discovering innovative startups that use public technologies from universities and government-funded research institutes is crucial for maintaining national competitiveness. Advancing public R&D technology, discovering entrepreneurs from research institutes, and fostering and investing in deep-tech startups are very important at the national level. However, there is a lack of research on activating startups using public technologies, and research analyzing each governance entity is needed to activate the innovation startup ecosystem. Therefore, this study conducted an empirical analysis of the priorities for revitalizing the innovation startup ecosystem among researchers, research institutes, innovative startups, and the government, which constitute the public technology governance. The results of this study revealed that the sustainability of innovative startups (0.308), government innovation startup activation (0.298), research institutions discovering and fostering startups (0.221), and researcher's characteristics (0.173) were the most significant factors in the public R&D technology innovation startup ecosystem. And the sub-factors of researcher's characteristics, seizing business opportunities (0.305) was most important, and creating a startup-friendly culture (0.293) was most important among the sub-factors of research institutions discovering and fostering startups. Investment funds and procurement (0.373) was the most critical sub-factor for the sustainability of innovative startups, while a dedicated fund for public technology (0.305) was the most important among the sub-factors of government schemes for promoting innovative startups. A total of 20 factors were analyzed sequentially according to their importance in the weights for evaluation factors and sub-factors. By sub-factor, investment and financing for innovative startups (0.115), dedicated government fund for public technology (0.091), securing high-quality human resources for innovative startups (0.078), improving government regulations and permits related to innovative technologies (0.074), and creating a startup-friendly culture in research institutions (0.065) were the most important. This result emphasizes the significance of securing competitiveness to become a sustainable public technology startup. In addition, based on entrepreneurship experience, 'dedicated funding for public technology' was most important for the group with startup experience, while the group with no experience needed more 'investment and funding'. Furthermore, By region, 'improving government regulations and permits' was the highest priority in the Seoul metropolitan area, while 'attracting investment and financing' was the most important in Daejeon. Therefore, the results of this research, it is important to give policy priority to innovative startup companies in order to activate the innovation startup ecosystem in the public technology sector. The political and practical implications were derived that long-term (10 years or more) investment and funding for deep tech companies and the establishment of public technology-only funds are the most urgent and important.

• International Journal of Computer Science & Network Security
• /
• v.24 no.9
• /
• pp.30-40
• /
• 2024

Building an accurate 3-D spatial road network model has become an active area of research now-a-days that profess to be a new paradigm in developing Smart roads and intelligent transportation system (ITS) which will help the public and private road impresario for better road mobility and eco-routing so that better road traffic, less carbon emission and road safety may be ensured. Dealing with such a large scale 3-D road network data poses challenges in getting accurate elevation information of a road network to better estimate the CO₂ emission and accurate routing for the vehicles in Internet of Vehicle (IoV) scenario. Clustering and regression techniques are found suitable in discovering the missing elevation information in 3-D spatial road network dataset for some points in the road network which is envisaged of helping the public a better eco-routing experience. Further, recently Explainable Artificial Intelligence (xAI) draws attention of the researchers to better interprete, transparent and comprehensible, thus enabling to design efficient choice based models choices depending upon users requirements. The 3-D road network dataset, comprising of spatial attributes (longitude, latitude, altitude) of North Jutland, Denmark, collected from publicly available UCI repositories is preprocessed through feature engineering and scaling to ensure optimal accuracy for clustering and regression tasks. K-Means clustering and regression using Support Vector Machine (SVM) with radial basis function (RBF) kernel are employed for 3-D road network analysis. Silhouette scores and number of clusters are chosen for measuring cluster quality whereas error metric such as MAE ( Mean Absolute Error) and RMSE (Root Mean Square Error) are considered for evaluating the regression method. To have better interpretability of the Clustering and regression models, SHAP (Shapley Additive Explanations), a powerful xAI technique is employed in this research. From extensive experiments , it is observed that SHAP analysis validated the importance of latitude and altitude in predicting longitude, particularly in the four-cluster setup, providing critical insights into model behavior and feature contributions SHAP analysis validated the importance of latitude and altitude in predicting longitude, particularly in the four-cluster setup, providing critical insights into model behavior and feature contributions with an accuracy of 97.22% and strong performance metrics across all classes having MAE of 0.0346, and MSE of 0.0018. On the other hand, the ten-cluster setup, while faster in SHAP analysis, presented challenges in interpretability due to increased clustering complexity. Hence, K-Means clustering with K=4 and SVM hybrid models demonstrated superior performance and interpretability, highlighting the importance of careful cluster selection to balance model complexity and predictive accuracy.

• The Journal of the Korea Contents Association
• /
• v.15 no.11
• /
• pp.658-671
• /
• 2015

The present study explores the effect of blended action learning program on the improvement of the self-directed learning skills of university students. For this, students in the college of education at D University located in the capital area were selected to form 30 students of the experimental group and 30 of the control group. The average age of the subjects is 22.3. They are students in the $2^{nd}$ to $4^{th}$ year of university and the demographic background is relatively homogeneous. The experiment was conducted in the Sociology of Education class (a teacher training course). The self-directed learning skills were pre-tested at the beginning of the term. After that, the experimental group had the class with blended action learning program, and the control group had the class with action learning program. The post-test was carried out at the end of the term. For data analysis, ANCOVA was carried out to compare the scores on post-test of the two groups in consideration of the scores on the pre-test. The results show that first, for the improvement of self-directed learning skills of university students, blended action learning program is more effective than action learning program. Second, in the class for learners with lower degree of cognition and experience, blended action learning program was more effective than action learning program. Third, in terms of management of learning resources and utilization of learning strategies, both action learning program and blended action learning program were not effective. In summary, for improvement of the self-directed learning skills of university students, action learning program, which is a learning method focused on learner's participation and practice, is more effective than the traditional collective lecture among diverse teaching methods. Yet in consideration of the elementary level of university students in terms of intelligence and experience, active use of blended action learning program is required.

• Journal of Korean Public Health Nursing
• /
• v.16 no.2
• /
• pp.239-253
• /
• 2002

Health care for women regularly focuses on the reproductive system to the exclusion of other health needs. The lack of research focusing on women's common health issues is a major problem to the enhanced optimal level of women's health. Health care providers have to recognize biological and social differences between men and women. This study was conducted to identify the baseline data and their correlation of health perception, health behavior, and health status of adult women for developing nursing intervention. The study was a descriptive correlational design. A convenient sampling method was used for collecting data from 103 adult women, over 18 years of age, during the period from Sep 1 to Nov 30, 2001. The study's subjects were interviewed using a structured questionnaire. The instruments for this study were the health perception scale modified by Lee(1985) based on the tool developed by Ware(1977) and Jenkins (1966), and the health behavior scale by Ko, Kumja(1987). Health status was measured by the short form Cornell Medical Index(CMI) modified by Nam, Hochang(1965). The data were analyzed SPSS PC+, by frequency, mean, t-test, ANOVA, and Pearson correlation coefficients. Also, the Duncan test was utilized for a post hoc test of ANOVA. The results of this study are as follows: 1. The mean score for health perception was 3.02(S.D=0.39) on a 5 point scale. 2. The mean score for health behavior was 3.08(S.D=0.43) on a 5 point scale. 3. The mean score for health status was 18.54 on 58 items. The mean score for physical symptoms of a subscale of health status was 11.30 on 36 items and the mean score for psychological symptoms was 7.37 on 22 items. 4. The relationship of sociodemographic variables to health perception. health behavior, and health status of women.: 1) There were significant differences in the scores of health perception by disease experience(t=-3.37, p=0.00). 2) There were significant differences in the scores of health behavior by age(F=10.52, p=0.00), height(F=4.73, p=0.01), marital status(t=-5.56, p=0.00), educational background(t=2.90, p=0.00), and drinking or non-drinking(t=2.17, p=0.03). 3) There were significant differences in the scores of health status by educational background(t=2.28, p=0.02) and disease experience(t=2.61, p=0.01). 5. Health perception showed significant positive correlation with health behavior(r=0.39, p=0.00). Health perception showed significant negative correlation with health status(r=-0.44, p=0.00), that is, the more women perceived health, the less she complained about unhealthy symptoms. Health behavior had no significant correlation with health status but showed a positive correlation with psychological symptoms of a subscale of health status(r=-0.19, p=0.05). Many of the leading causes of disease are preventable through changes in health perception and behavior. The need to increase individual awareness of relationships among health perception, health behavior, and health status and to enhance knowledge regarding the long-term effects of positive health behaviors, is an important nursing strategy for women's health promotion.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.541-546
• /
• 2022

This study is to analyze the effect of rapid rise in the rescue activity of suffering on the increase of reactive oxygen species. There is no study that tested the change rate of reactive oxygen species according to the rapid rise in 119 rescue workers, so we want to check the symptoms that appear in rescue workers' bodies. There were 5 subjects, and B, C, and E showed similar values before and after diving: 0.41µmol/L, 0.11µmol/L, and 0.87µmol/L, respectively. However, in subject D, the level of active oxygen rise before and after diving was significantly higher at 1.41µmol/L, which is believed to be due to increased anxiety caused by poor underwater visibility and increased fatigue during rapid ascent after underwater rescue activities. Subject A showed a significantly low increase in active oxygen before and after diving at 0.07µmol/L. The reason seems to be that A is 54 years old and has the most diving experience among the test subjects, and it seems that it is the result of receiving less stress from the poor watch due to the abundant experience of rescue activities as a 119 rescue worker and the skillful underwater activities. Fatigue and anxiety were both high at 4. It is thought that the psychological tension during underwater activities increased fatigue, and the turbidity of the underwater vision raised anxiet.

• Korean Journal of Occupational Health Nursing
• /
• v.11 no.2
• /
• pp.91-107
• /
• 2002

In order to evaluate the factors related to therapeutic compliance of hypertensive patients in small and medium scale industry, the questionnaire survey and the blood pressure measurement were performed on 138 hypertensive patients who were reported to have C or $D_2$ result of hypertension at the workers' periodic health examination from March to November 2001. The contents of questionnaire included the informations of factors related to therapeutic compliance of hypertensive patients such as, age, sex, marital status, income, education levels, scale, occupation, work duration, smoking and drinking habits, exercise, family history, stress and A type personality, employer's concern, organizational culture, health status, awareness, knowledge and attitude toward the needs of hypertension treatment, and experience of health education. The results of the study were as follows: 1. The proportion of those who were compliant to the treatment of hypertension was 41.3% of subjects. Among small scale industry less than 50 employees, the rate of therapeutic compliance group was 27.5% and therapeutic noncompliance group was 72.5%. Among medium scale industry more than 50 employees, the rate of therapeutic compliance group was 60.3% and therapeutic noncompliance group was 39.7%. 2. Among therapeutic noncompliance group, 95.1% of patients were aware of the fact that workers have hypertension, and 77.8% of patients got 6-10 marks of hypertension related knowledge. For health education, 27.2% were experienced and 34.6% said no intention to participate. And for hypertension treatment, 9.9% said no need to get the treatment and 44.4% said have no idea whether get treatment or not. 3. The significant factors related to therapeutic compliance of hypertensive patients in small scale industry were work duration, A type personality(anger), health status, attitude toward the needs of hypertension treatment, and experience of health education. 4. The significant factors related to therapeutic compliance of hypertensive patients in medium scale industry were age, occupation, subjective symptom, attitude toward the needs of hypertension treatment, and experience of health education. In consideration of above findings, it was suggested that in order to improve the therapeutic compliance in small and medium scale industry hypertensives, it be necessary to change attitude, perception, knowledge and treatment of hypertension by various methods such as effective health education and individually consulting programs by occupational health professional.

• The Korean Nurse
• /
• v.37 no.4
• /
• pp.72-84
• /
• 1998

This study has been done for the purpose of testing the effects of education for women's health on the performance of health promoting behavior and self esteem of college women. The study was designed as simulated control group pretest-posttest design, the experimental group was composed 182 college women and the control group was composed 151 college women at D University in Seoul. The instruments used for this study were Health Promoting Behavior Scale developed by Walker et al(1987)were modified by Shin(1997) and Self Esteem Scale developed by Rosenberg(1965). The data were analyzed by chi-square test, t-test and ANCOVA using $SPSSIPC^+$ program. The results were as follows: 1. The result of the homogeneity test in terms of the demographic characteristics of two group showed that there were significant difference in major discipline($x^2=155.854$, p=.000), religion($x^2=6.325$, p=.011), and disease experience($x^2=3.949$, p=.046). 2. Hypotheses 1 that the college women who get women's health education will have a higher score of health promoting behavior than the college women who do not get women's health education was supported. The score of health promoting behavior between two group showed statistically difference(t=7.25, p= .000). Mer control of covariates(major discipline, religion, and disease experience), the score of health promoting behavior between two group showed statistically difference(F=31.817, p= .000). 3. Hypotheses 2 that the college women who get women's health education will have a higher score of self esteem than the college women who do not get women's health education was supported. The score of self esteem between two group showed statistically difference(t=4.91, p= .000). After control of covariates(major discipline, religion, disease experience), the score of self esteem between two group showed statistically difference(F=12.688, p= .000). The following suggestions are made based on the above results : 1) Replication of the research is needed to confirm effects of health education including the college man and various demographic differences. 2) More effective health education programs appropriate to subject need to be developed. 3) Nursing college or departments of nursing should make an effort to develop and carry out various health education program for health for all.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.47 no.3
• /
• pp.71-80
• /
• 2019

The Fourth Industrial Revolution, centered on intelligence and information, began to take hold in 2016. This study uses virtual reality technology, which is the most popular technology of the Fourth Industrial Revolution. The purpose of this study is to explore a Virtual Walk-through method, which can be easily applied to landscape architecture. At present, virtual reality technology is widely used in the fields of games, emergency training, and architectural design. However, in the field of landscape architecture, it is still in the development stage. In addition, most of the traditional ways to display virtual reality use 2D images, but such methods have some limitations. Therefore, this research addresses the three stages of "design-exhibition-experience" and puts forward a new simple method called 'Virtual Walk-through' that breaks from traditional landscape design exhibitions. The results show that compared with traditional methods, virtual reality has many advantages, such as the freedom of experience, a diversity of viewing angles, information supply, interaction, etc. It can show high quality images and effects, which are suitable for landscape design. It provides an evaluation method for garden design that can be utilized in the future. It is simple and has value as it can reflect the method and the expected effects. Virtual reality technology can bring an infinite number of prospects to the development of landscape architecture.