• 한국의류학회지
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• 제12권3호
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• pp.295-307
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• 1988

The purposes of the study were to identify the general predictors of fashion leadership and to compare the fashion leadership predictors among different social groups. Thirty-one variables (thirteen fashion-related variables, five social variables, nine psychological variables, four demographic variables) were included in the regression analysis. Data were obtained from 446 women living in Seoul area by self-administered questionnaire. The results of the study were as follows: 1. Seven variables explained about 64 percent of the total variance of fashion leadership. The most important predictors of fashion leadership were fashion interest, use of marketer-dominated fashion information source, and 'stable-creative' self-image. 2. The predictors that consistently predict fashion leadership across different social groups (students, career women, housewives) were fashion interest and use of marketer-dominated information source. The predictors of innovativeness and opinion leadership were very different among groups.

• International Journal of Internet, Broadcasting and Communication
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• 제6권1호
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• pp.5-8
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• 2014

Social networking services that connect a person to other people are attracting our attention and various types of on-the-network services are provided. Library has been playing a role of social media by providing with materials such as books and magazines, and with a place for reading, studying, getting lectures, etc. In this paper, we present a method for finding candidates of groups of the library's patrons who share interest areas by utilizing the loan records, which are obtainable by every library. Such a homogeneous group can become a candidate for a study group, a community for exchange ideas, and other activity group. We apply the method to a collection of loan records of a university library, find some problem to be solved, and propose measures for more detailed solutions. Even though the potential group finding problem still remains a lot of problems to be solved, its potential importance is very high and thus to be studies even more for future applications.

• 로봇학회논문지
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• 제18권2호
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• pp.216-224
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• 2023

Guide robots that provide services in public places have recently emerged as a non-face-to-face solution with the spread of COVID-19 and are growing. However, most guide robots provide only the same level of intelligence and the same interaction in different and changing environments. Therefore, its usefulness is limited and customers' interest is quickly lost. To solve this problem, it is necessary to develop social intelligence that can improve the robot's environment and situational awareness performance, and to continuously maintain customer interest by providing personalized and situational services. In this study, we developed guide robot services based on social HRI components that provides multi-modal context-aware. We evaluated service usefulness by measuring user satisfaction and frequency of use of the service through the survey. We analyzed the service quality attributes to identify the differentiating factors of guide robot based on social HRI components.

• 산업진흥연구
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• 제5권3호
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• pp.73-79
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• 2020

본 연구는 2018년 보건복지부에서 발표한 「독거노인 종합지원대책」을 중심으로 독거노인에 대한 제도적 지원의 문제점 및 해결방안에 관하여 연구하였다. 연구결과는 다음과 같다. 첫째, 맞춤형 독거노인 지원제도를 도입해야 한다. 독거노인의 생활만족도 향상을 위해 가장 기본적인 일상생활 관련 욕구에 맞는 프로그램 개발이 필요하며, 서비스를 연계할 구체적인 방안과 지원체계가 마련되어야 한다. 둘째, 독거노인에 대한 사회적 관심도 증대가 필요하다. 독거노인에 대한 문제해결은 독거노인에 대한 사회적 관심도가 선행되어야 한다. 이를 위해서는 사회적 관계망의 강화가 필요하다. 셋째, 독거노인을 위한 법률 제·개정을 제안한다. 기존 법률의 일부 개정만으로는 한계가 있고, 다양한 노인일자리 유형에 대한 기준과 정의, 노인일자리 사업 전담기관을 포함한 전달체계에 대한 재정비, 근로자성 관련 규정, 노인생산품 우선구매제도 등 개별 법률 제정을 통하여 해결하는 것이 바람직하다. 결론적으로 독거노인에 대한 복지지원은 종합적이고 포괄적이어야 한다. 독거노인의 복지는 우선적으로 맞춤형 돌봄서비스가 시행되어야 하며, 사회적 관심도의 증대를 토대로 해서 독거노인에 대한 사회적 지지를 향시키고, 독거노인을 위해 법제·개정이 능동적이고 선제적으로 이루어져야 한다.

• 한국치위생학회지
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• 제12권6호
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• pp.1119-1127
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• 2012

Objectives : The aim of this study was to examine the level of oral health knowledge, oral health importance, oral health status and oral health interest of the social workers engaged in child care facilities to analyze the influential factors on oral health promotion activities and provide the basic data for oral health promotion activities. Methods : The subjects in this study were those social workers engaged in child care facilities from May 15th to May 25th in 2011. The self-report questionnaires were distributed and withdrawn and then a total of 205 papers from the subjects that participated in this study were analyzed for the final analysis. Results : 1. Oral health knowledge had $12.16{\pm}1.66$ in a full score of 15 and oral health importance, oral health status and oral health interest were $1.12{\pm}0.36$, $2.80{\pm}0.50$ and $2.14{\pm}0.8$ respectively in a full score of 5. 2. According to the general characteristics, the difference analysis of cognition-recognition factors showed that singles had significantly higher oral health knowledge married couples (p<0.05) and the social workers unusing auxiliary oral hygiene devices had significantly higher oral health interest than those using them(p<0.01). 3. The mean of oral health promotion was $3.28{\pm}0.51$, characteristics of detailed specific-area were as follows ; the toothbrushing was $3.77{\pm}0.57$, the use of fluoride was $2.67{\pm}0.98$, periodic dental screening and treatment were $2.98{\pm}1.09$ and eating habits was $4.14{\pm}0.57$. These results generally showed tooth-brushing and eating habits show a little higher figures. 4. Considering the factors oral health promotion behaviors of social workers engaged in child care facilities, the higher oral health interest was, the higher oral health promotion behavior was. Conclusions : It seems that social workers engaged in child care facilities are required to pay attention to the importance of oral health and learn oral health knowledge, which will lead to much better improvement of oral health for children brought up by them.

• 한국사회복지학
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• 제43권
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• pp.193-221
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• 2000

The conventional framework of welfare politics, based on class concepts, tends to fail in explaining the recent social changes. Theoretical response from the social science diverges into two blocs. One is the postmodernist approach that denies possibility of structural cleavage; the other is the alternative trial that seeks to find various kinds of cleavages. The former approach is to be rejected because there is few empirical supports for it. The latter is too sparse to be applied to the studies of welfare politics that requires a comprehensive analysis. This study starts from critical investigation of such approaches, aiming at providing a theoretical framework that combines merits of existing studies on welfare politics. The theoretical framework of three statuses of welfare rights and duties, which is to be presented as an alternative to the conventional class counterpart, does not only underscore the expansion of welfare rights but also the burden of welfare duties. Hence, it can comprehensively subsume complex existence of interest cleavages of welfare politics. To make a long story short, individual interest, related to the welfare state, will effect individual attitudes toward the welfare state and their ways of political support.

• Architectural research
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• 제21권1호
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• pp.1-8
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• 2019

Social housing has a long history in Germany from the first still existing social housing ever, the "Fuggerei" in Augsburg (founded in 1521), over the last 100 years from the end of World War I to today's situation where the need in social housing has increased while the number of housing projects and the number of existing apartments in this program has decreased or ended. Socio-economic changes like demographic evolution, more single households, greater working abilities in bigger cities and an unforeseen highly increased number of migrants within Europe mostly but also from other countries led to the need of affordable housing for a growing number of people who are not able to care for their housing needs in their own responsibility. This is especially true for bigger cities, where the offer of affordable housing is nearly non-existing any more. The family Fugger, a trade and banking dynasty at their time, established a very modern housing concept, providing good and healthy living space for their workers. In 2018 now some trade companies, discounters (ALDI, LIDL, Norma) and IKEA announce to combine their interest in sales in the inner cities with the municipal interest of redensification of existing housing areas and conversion to ecological urban reconstructuring.

• Educational Technology International
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• 제21권2호
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• pp.193-216
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• 2020

This study investigated university students' perspectives on good class and instructional practices through social network analysis. The subjects were 321 students in the third and fourth academic years in a Korean university. The subjects completed four open-ended questions, asking about experience of good class, good instructors' teaching practice, and their feelings and attitudes when participating in good class. As social network analysis, KrKwic (Korea Key Words in Context) was used to compute word frequencies and analyze semantic network structures and Ucinet Netdraw to assess centrality in the social network, consisting of degree centrality, closeness centrality, and between centrality. The results are as follows. First, students showed 5 keywords to depict what good class is, including 'understanding', 'example', 'video', 'interest', and 'communication'. Second, the characteristics of teaching methods by professors who practice good class indicate 'assignments', 'questions', 'understanding', 'example', and 'feedback'. Third, the top 5 keywords of students' attitudes as participating in good class are 'active', 'participation', 'focus', 'listening', and 'asking'. Last, keywords depicting desirable class that students most wanted to take next time are 'assignments', 'rewards', 'understanding', 'difficulty', and 'interest'. The findings from this study include the meanings of the semantic network structures of words in the text making up messages. Also this study can provide empirical evidence for educators and educational practitioners in higher education to create effective learning environments.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.353-360
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• 2023

This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권7호
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• pp.1868-1887
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• 2024

Recommendation systems research is a subfield of information retrieval, as these systems recommend appropriate items to users during their visits. Appropriate recommendation results will help users save time searching while increasing productivity at work, travel, or shopping. The problem becomes more difficult when the items are geographical locations on the ground, as they are associated with a wealth of contextual information, such as geographical location, opening time, and sequence of related locations. Furthermore, on social networking platforms that allow users to check in or express interest when visiting a specific location, their friends receive this signal by spreading the word on that online social network. Consideration should be given to relationship data extracted from online social networking platforms, as well as their impact on the geolocation recommendation process. In this study, we compare the similarity of geographic locations based on their distance on the ground and their correlation with users who have checked in at those locations. When calculating feature embeddings for users and locations, social relationships are also considered as attention signals. The similarity value between location and correlation between users will be exploited in the overall architecture of the recommendation model, which will employ graph convolution networks to generate recommendations with high precision and recall. The proposed model is implemented and executed on popular datasets, then compared to baseline models to assess its overall effectiveness.