• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.105-112
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• 2021

Unlike conventional online shopping malls that handle simple product sales, customization services have to be provided with a user-centered and smooth customizable work environment because of differences that buyers have to customize themselves. To study the ease of use of T-shirt customization web GUI, three websites that provide T-shirt customization services were selected to analyze the current status of T-shirt customization websites. Through prior research, we establish the evaluation principle as consistency and clarity, operability, feedback, coping with errors, sharing and ease of search. Based on this, the T-shirt customization web GUI design guidelines were drafted and three delphi surveys were conducted on GUI-related experts to prove the validity of the web GUI guidelines evaluation items that are effective in customizing T-shirts. This study is expected to contribute to increasing the production and usability of the T-shirt customization web and to be used as an effective reference for customization web GUI design.

• Women's Health Nursing
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• v.20 no.4
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• pp.235-245
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• 2014

Purpose: This study was done to develop and evaluate multilingual education materials to promote health and adaptation to pregnancy for immigrant women in Korea. Methods: This study had three procedures: First, contents of the education materials were developed according to pregnant women's needs, literature reviews, and group discussion. Details in contents were constructed based on Roy's adaptation model; Second, validity verification and translation of education materials were accomplished; Third, evaluation of the education materials was done through a survey of immigrant women. Results: The education materials were developed in six languages (Korean, English, Chinese, Vietnamese, Filipino, and Cambodian). The title is "Healthy mother, happy family: eight-step guide to a healthy pregnancy". It was composed of an eight-step guide to healthy pregnancy, self-examination check list, websites for childbirth education and information, and guidelines on education materials in a brochure. In the evaluation, the average response score for the questionnaire items was high (3.23 on a four-point Likert scale). The average score for Cambodian immigrants was the highest of all immigrant women. Conclusion: Multilingual education materials developed in this research will help community health nurses to manage pregnancies for immigrant women and will be useful for health education for these women.

• Journal of Society of Preventive Korean Medicine
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• v.21 no.3
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• pp.29-42
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• 2017

Background : Efforts towards increasing insurance coverage for traditional Korean medicine (TKM) are being continued. However, various difficulties are faced in generating evidence for TKM due to limited financial support and the low quality of research methodology. Objectives : The objectives of this study were to review the Swiss evaluation program for complementary and alternative medicine (CAM) and assess the expansion in public health insurance coverage of complementary medicine as approved by referendum in Switzerland. Methods : The regulations of CAM in the European Union were assessed. Research articles, reports, government publications and websites which deal with the 'Programm Evaluation $Komplement{\ddot{a}}rmedizin$ (PEK)' and the referendum in Switzerland were searched for and analyzed. Results : The PEK was conducted from 1998 to 2005. The PEK evaluated the efficacy, utilization and cost-effectiveness of anthroposophical medicine, homeopathy, neural therapy, phytotherapy and traditional Chinese medicine. However, clear conclusions could not be drawn from the evaluation according to the PEK Report. Later, a referendum was implemented in which 5 therapies would be added to the Switzerland Constitution with the support of the public. The coverage of CAM was approved by Swiss a plebiscite with an approval rate of 67.0%. Conclusions : The reason for the successful referendum is suggested to be public support and the solidarity with CAM experts and politicians. It may be surmised that recognition of the political efforts and scientific aspects required to expand insurance coverage of TKM, and towards obtaining public support, is necessary.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.68-79
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• 2011

This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.

• Journal of Information Science Theory and Practice
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• v.6 no.4
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• pp.6-16
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• 2018

This article shows an approach to the study of two fundamental aspects of the prepublication of scientific manuscripts in specialized repositories (arXiv). The first refers to the size of the interaction of "standard papers" in journals appearing in the Web of Science (WoS)-now Clarivate Analytics-and "non-standard papers" (manuscripts appearing in arXiv). Specifically, we analyze the citations found in the WoS to articles in arXiv. The second aspect is how publication in arXiv affects the citation count of authors. The question is whether or not prepublishing in arXiv benefits authors from the point of view of increasing their citations, or rather produces a dispersion, which would diminish the relevance of their publications in evaluation processes. Data have been collected from arXiv, the websites of the journals, Google Scholar, and WoS following a specific ad hoc procedure. The number of citations in journal articles published in WoS to preprints in arXiv is not large. We show that citation counts from regular papers and preprints using different sources (arXiv, the journal's website, WoS) give completely different results. This suggests a rather scattered picture of citations that could distort the citation count of a given article against the author's interest. However, the number of WoS references to arXiv preprints is small, minimizing this potential negative effect.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.97-117
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• 2020

Product evaluation criteria is an indicator describing attributes or values of products, which enable users or manufacturers measure and understand the products. When companies analyze their products or compare them with competitors, appropriate criteria must be selected for objective evaluation. The criteria should show the features of products that consumers considered when they purchased, used and evaluated the products. However, current evaluation criteria do not reflect different consumers' opinion from product to product. Previous studies tried to used online reviews from e-commerce sites that reflect consumer opinions to extract the features and topics of products and use them as evaluation criteria. However, there is still a limit that they produce irrelevant criteria to products due to extracted or improper words are not refined. To overcome this limitation, this research suggests LDA-k-NN model which extracts possible criteria words from online reviews by using LDA and refines them with k-nearest neighbor. Proposed approach starts with preparation phase, which is constructed with 6 steps. At first, it collects review data from e-commerce websites. Most e-commerce websites classify their selling items by high-level, middle-level, and low-level categories. Review data for preparation phase are gathered from each middle-level category and collapsed later, which is to present single high-level category. Next, nouns, adjectives, adverbs, and verbs are extracted from reviews by getting part of speech information using morpheme analysis module. After preprocessing, words per each topic from review are shown with LDA and only nouns in topic words are chosen as potential words for criteria. Then, words are tagged based on possibility of criteria for each middle-level category. Next, every tagged word is vectorized by pre-trained word embedding model. Finally, k-nearest neighbor case-based approach is used to classify each word with tags. After setting up preparation phase, criteria extraction phase is conducted with low-level categories. This phase starts with crawling reviews in the corresponding low-level category. Same preprocessing as preparation phase is conducted using morpheme analysis module and LDA. Possible criteria words are extracted by getting nouns from the data and vectorized by pre-trained word embedding model. Finally, evaluation criteria are extracted by refining possible criteria words using k-nearest neighbor approach and reference proportion of each word in the words set. To evaluate the performance of the proposed model, an experiment was conducted with review on '11st', one of the biggest e-commerce companies in Korea. Review data were from 'Electronics/Digital' section, one of high-level categories in 11st. For performance evaluation of suggested model, three other models were used for comparing with the suggested model; actual criteria of 11st, a model that extracts nouns by morpheme analysis module and refines them according to word frequency, and a model that extracts nouns from LDA topics and refines them by word frequency. The performance evaluation was set to predict evaluation criteria of 10 low-level categories with the suggested model and 3 models above. Criteria words extracted from each model were combined into a single words set and it was used for survey questionnaires. In the survey, respondents chose every item they consider as appropriate criteria for each category. Each model got its score when chosen words were extracted from that model. The suggested model had higher scores than other models in 8 out of 10 low-level categories. By conducting paired t-tests on scores of each model, we confirmed that the suggested model shows better performance in 26 tests out of 30. In addition, the suggested model was the best model in terms of accuracy. This research proposes evaluation criteria extracting method that combines topic extraction using LDA and refinement with k-nearest neighbor approach. This method overcomes the limits of previous dictionary-based models and frequency-based refinement models. This study can contribute to improve review analysis for deriving business insights in e-commerce market.

• Korean Journal of Health Education and Promotion
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• v.29 no.5
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• pp.49-59
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• 2012

Objectives: Physical activity provides economic benefits and contributes in improving health and quality of life. Opportunities for physical activity continue to decrease with the increasing prevalence of sedentary lifestyles. In various settings, there have been many efforts to enhance physical activity to prevent chronic disease for people of all ages. This study was performed to define competencies of physical activity specialists in health promotion and compare with those of health education specialists. Methods: The study employed official data and manuals of health promotion programs that have been published and uploaded on public websites. Results: Competencies for physical activity in health promotion included needs assessment, analysis of data and scientific information, planning and evaluation, developing strategies and materials, management, building healthy environment, research. To compare with the competency of health education specialists, competencies of physical activity were almost similar to that except the developing individual-based physical activity program in exercise science. Conclusions: Physical activity programs for health promotion should be planned and implemented throughout various health topics and in coordination with multiple sectors. To increase efficiency of the utilization of human resources in health promotion, health education specialists needs to participate in physical activity programs and would require empowerment in exercise science.

• Journal of the Korean Home Economics Association
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• v.45 no.6
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• pp.113-122
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• 2007

The purpose of this study was to examine the relationship between online apparel impulse buying behavior and apparel website characteristics. The data were collected using an online survey with a structured questionnaire. To recruit participants, online surveys were collected and a total of 236 college students were used in the study. The results of factor analysis showed that website characteristics consisted of two factors (i.e., promotion, product/policy information). The results of MANOVA and multiple regression showed that the impulse purchase group evaluated the website where they bought the last apparel item significantly better in promotion and product/policy information than the non-impulse purchase group. Based on the results, H1, H2, and H3 were supported. The evaluations of the characteristics of websites where impulse purchases and non-impulse purchases of apparel products were made were significantly different.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.4
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• pp.376-390
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• 2018

Purpose: The purpose of this study was to (a) synthesize nursing education literature using a smartphone for Korean nursing college students based on Whittemore and Knafl's integrative five-step review method and to (b) evaluate the quality appraisal of each article using Gough's weight of evidence. Methods: Articles published in Korea were identified through electronic search engines and scholarly websites using a combination of three search terms, including nursing student, smartphone, and education. Scientific, peer-reviewed articles in nursing education for Korean college nursing students, written in Korean or in English, and published between January 2000 and May 2018 were included in this review. Thirteen papers met the inclusion criteria and had above average ratings in quality appraisals. Results: Three characteristics related to nursing education using a smartphone were derived: (a) as a familiar media, motivating learning and enabling self-directed learning, (b) for the purpose of education or evaluation utilizing the educational movie of application, and (c) the iterative exercise of smartphone usage reinforces student learning. Conclusion: Smartphone use is an effective tool for improving nursing knowledge and skills for nursing college students in nursing education. Future research is needed to standardize smartphone applications across schools for nursing education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.81-84
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• 2011

웹 사용성(Web usability)은 웹 사이트 이용자가 원하는 목표를 보다 쉽게 달성하도록 시스템을 설계하는 것으로 이용의 편이성을 말한다. 본 연구에서는 국내 의료기관 웹 사이트를 대상으로 사용성 평가를 실시하고 그 결과를 분석하였다. 의료기관을 종합병원, 대학병원, 일반병원 3개의 그룹으로 나누고 각 그룹에서 4개씩 총 12개 병원을 선정하여 평가하였으며, 사용성 평가를 위해 평가 전설문지, 태스크 수행 평가, 평가 후 설문지 그리고 평가자 인터뷰를 실시하였다. 설문지 결과와 인터뷰 결과를 볼 때, 대다수의 병원들이 예약과 취소, 정보검색 등 웹 서비스 제공에 노력을 기울이고 있지만 실제 사용자는 병원의 주요 서비스를 이용하는데 있어서 편리하다고 느끼지 않는 것으로 조사되었다. 태스크 수행 평가 결과를 살펴보면, 대학병원은 다른 그룹과 비교해 볼 때 비교적 사용성을 고려하여 잘 설계되었으나 서비스 절차의 단순화 작업이 필요하다고 판단되며, 일반병원의 경우 태스크 수행과 관련된 서비스 자체가 제공되지 않거나 체계적이지 못한 경우가 있어 개선이 필요하였다.