• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.205-228
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• 2023

In 2020, the novel coronavirus disease (COVID-19) struck the world. This study examined Korean public libraries' responses during the COVID-19 pandemic to determine their working practices, service patterns, applied strategies, and roles played. The study administered an online survey to 317 public librarians in South Korea. The results indicated that librarians reported significant transitions regarding the services provided. However, only 15.5% of the survey respondents reported that they had experienced trainings/workshops for library staff members. Survey participants also identified challenges such as the limitations of non-face-to-face services, complaints from library patrons, and overwork due to epidemic prevention. When it comes to the expected roles of public libraries in upcoming disasters, the study contends that information providers, who guide the public through various information resources, would play the most critical role. An analysis of a few open-ended questions' answers proliferated the highlighted findings. Based on the key findings, this paper also discussed implications for information professionals and future research.

• The Mathematical Education
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• v.63 no.3
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• pp.467-484
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• 2024

The rapid advancement of generative AI has ushered in an era where anyone can create and freely utilize personalized chatbots without the need for programming expertise. This study aimed to develop a customized chatbot based on OpenAI's GPTs for the purpose of pre-service teacher education and to analyze its educational performance in mathematics as assessed by educators guiding pre-service teachers. Responses to identical questions from a general-purpose chatbot (ChatGPT), a customized GPTs-based chatbot, and an elementary mathematics education expert were compared. The expert's responses received an average score of 4.52, while the customized GPTs-based chatbot received an average score of 3.73, indicating that the latter's performance did not reach the expert level. However, the customized GPTs-based chatbot's score, which was close to "adequate" on a 5-point scale, suggests its potential educational utility. On the other hand, the general-purpose chatbot, ChatGPT, received a lower average score of 2.86, with feedback indicating that its responses were not systematic and remained at a general level, making it less suitable for use in mathematics education. Despite the proven educational effectiveness of conventional customized chatbots, the time and cost associated with their development have been significant barriers. However, with the advent of GPTs services, anyone can now easily create chatbots tailored to both educators and learners, with responses that achieve a certain level of mathematics educational validity, thereby offering effective utilization across various aspects of mathematics education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.459-468
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• 2016

The purpose of this study was to examine the relationship among flow, satisfaction, service quality, and revisiting intention of college ski class participants. By analyzing a total of 106 college students from a university in G city, this study found the following. First, the flow of ski classes had a positive influence on the satisfaction with the ski class. Second, the satisfaction with the ski classes had a positive influence on the service quality of the ski resort. Third, the service quality of the ski resort had a positive influence on the revisit intention. Fourth, the flow of the ski class had a positive influence on the service quality of the ski resort mediated by the satisfaction of the ski class. Fifth, the satisfaction of the ski class had a positive influence on the revisiting intention mediated by the service quality of the ski resort.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.298-306
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• 2014

This study aims to investigate the awareness and needs of patients as consumers and therapists as providers on the introduction of home physical therapy in the long-term care insurance. The survey participants were 96 patients and 132 physical therapists to a questionnaires, we analyzed for frequency of each questionnaire about awareness and necessity. As a result of the test, they considered that physical activity support services provided by nurse and nurses aid ware not specialized enough(pt 60,4%, PT 75,4%) and quality therapy should be available through a home physical therapy(pt 47.9%, PT 59.2%). Also, patients responded that the priorities to improve long-term care insurance were given to lowering expenses(35,4%) and expanding coverage of subjects(32.3%) while the physical therapists responded that professionals should be expanded(73.8%) and diverse rehabilitation services(20.2%) and a rehabilitation team should be introduced. They responded that the reasons of home physical therapy were needed that it was hard for patients to visit medical centers(PT 30.0%) themselves and it would be improvable for them to get physical function in elderly(pt 47.1%) through the service. In conclusion, as most patients as well as physical therapists responded that home visit therapy services should be introduced and their awareness of it was very high, it is suggested that the service should be quickly introduced as soon as possible.

• Journal of KIISE:Databases
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• v.37 no.6
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• pp.343-350
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• 2010

We can get answers we want to know via questioning in Knowledge Search Service (KSS) based on Q&A Community. However, it is getting more difficult to find credible documents in enormous documents, since many anonymous users regardless of credibility are participate in answering on the question. In previous works in KSS, researchers evaluated the quality of documents based on textual information, e.g. recommendation count, click count and non-textual information, e.g. answer length, attached data, conjunction count. Then, the evaluation results are used for enhancing search performance. However, the non-textual information has a problem that it is difficult to get enough information by users in the early stage of Q&A. The textual information also has a limitation for evaluating quality because of judgement by partial factors such as answer length, conjunction counts. In this paper, we propose the QualityRank algorithm to improve the problem by textual and non-textual information. This algorithm ranks the relevant and credible answers by considering textual/non-textual information and user centrality based on Social Network Analysis(SNA). Based on experimental validation we can confirm that the results by our algorithm is improved than those of textual/non-textual in terms of ranking performance.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.682-683
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• 2019

본 논문에서는 인공지능 Watson 기반의 챗봇 시스템에서 효율적인 자연어 처리를 위한 시나리오 설계 방법을 제안하고자 한다. 주제별 시나리오 구성을 단순히 무작위 순서로 배치하는 것 보다 연관도가 높은 노드를 가깝게 연결하는 것이 주제 전환 속도와 효율성 측면에서 유의미한 것으로 나타났다. 시스템의 구성 요소를 연결해주는 어플리케이션은 빠르게 질문과 답변 전달이 가능하도록 모듈화하여 PaaS 클라우드에 연결하도록 한다. 그 결과 경제적이고 단순한 개발 환경에서 어플리케이션을 구현하는 것이 가능했다. API를 호출하여 답변을 전달하는 경우에는 약 2.005초 정도로 빠른 응답 속도를 보였다. 따라서 본 논문에서 설명하는 챗봇 시스템 설계 방법을 사용할 경우 저비용으로 효율성 있는 서비스 제공 플랫폼을 구축할 수 있다.

• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.113-120
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• 2020

This study was conducted with 92 people who participated in the online self-introduction consulting program operated for 3 weeks in August, 2020 at a university. This is a study to find out whether the application of the online self-introduction consulting program helped prepare for employment. As a result of the study, there was not enough self-introduction to be written in advance or the employment target organization was not clear. After participating in the online self-introduction consulting program, it was very helpful in preparing for employment, and the service utilization of the related self-introduction program was high. They responded that a series of questions about the templates in the program helped to write the self-introduction letter. It was said that the interview preparation process is necessary as a necessary job support education

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.469-476
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• 2001

As the service of information through web system increases in modern society, many questions and consultations are going on through Home page and E-mail in the hospital. But there are some burdens for the management and postponements for answering the questions. In this paper, we investigate the document classification methods as a primary research of the auto-answering system. On the basis of 1200 documents which are questions of patients, 66% are used for the learning documents and 34% for test documents. All of are also used for the document classification using NBC (Naive Bayes Classifier), common words and coefficient of correlation. As the result of the experiments, the two methods proposed in this paper, that is, common words and coefficient of correlation are higher as much as 3% and 5% respectively than the basic NBC methods. This result shows that the correlation between indexes and categories is more effective than the word frequency in the document classification.

• Journal of dental hygiene science
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• v.11 no.5
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• pp.381-388
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• 2011

The purpose of this study was to examine the use of dental institutions among Chinese students in Korea in an attempt to provide some information on how to make more and better dental services accessible to them. The subjects in this study were Chinese students who were studying in eight different colleges. After a survey was conducted from April 1 to July 15, 2011, the following findings were given: 1. Concerning experiences of using domestic dental institutions, the majority of the respondents never received dental treatment in our country. The most widely used dental institutions were dental clinics, and the most common treatment they received was about dental caries. 2. As for the reason why they didn't receive dental treatment in our country, the biggest group cited the burden of medical cost and time constraints as the reasons. 3. The students who had medical insurance slightly outnumbered those who hadn't. Regarding the necessity of medical insurance, most of them considered that to be necessary, and those who had medical insurance received more dental treatment than the others who hadn't. 4. As to satisfaction with dental treatment, the students who were better at Korean expressed more satisfaction, and those who had medical insurance were better satisfied than the others who hadn't. In conclusion, the medical insurance system should be improved to let Chinese students have medical insurance compulsorily to ensure their efficient use of dental institutions, and every college should offer administrative assistance for health care.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.298-298
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• 2009

미국의 DOE(Department of Energy)산하 EERE(Energy Efficiecy & Renewable Energy)에서 신재생 에너지 프로그램 평가를 하고 있다. 특히 General program evaluation Guide에는 많은 평가기관에서 제안되었던 5가지 방법 중 Outcome 평가는 프로그램의 목적을 얼마나 달성했는지를 측정하는 것으로 일정한 기간이 지난 후 프로그램의 목적을 달성함으로써 얻어지는 결과를 추산함으로써 그 기간 동안 프로그램이 의도했던 목적을 얼마나 잘 수행했는지를 보여준다. 한국에서 시행되고 있는 신재생에너지 보급 프로그램의 성과를 정량화 분석을 통하여 평가할 수 있어 국내 적용성이 크다. 본 연구에서는 미국 에너지부 EERE로부터 지원받아 NREL(National Renewable Energy Laboratory)에서 실행한 Utility Green Pricing 프로그램을 사례 분석하였다. Utility Green Pricing 프로그램은 1993년 시작되었으며 2002년 말 미국 전역의 300여개 시설을 통한 90개의 프로그램을 발전시킴으로써 소비자가 자발적으로 재생에너지 발전을 지원하기 위한 한 방법으로 최근 이런 프로그램 수는 증가하고 있다. 2002년 말 기준으로 국가 전기 사용자의 20%, 대략 270,000명의 소비자가 선택하였고 2002년 290MW급 재생에너지 설비용량과 2003년 140MW급 시설을 담당하였으며 미국 이외에 캐나다, 일본, 호주, 12개 유럽 국가들이 시행하고 있다. 이 프로그램 목표는 어떤 프로그램이 green pricing 프로그램의 소비자 참가와 재생에너지 구매의 최대화를 돕는지를 제공하는 것으로 Data Pool은 90개 프로그램 중 더 이상 실행하지 않는 4개를 제외한 86개로 응답률은 77%였다. 분석대상은 거주자와 비거주자로써 자료는 2003년 초 66개의 green pricing 프로그램의 질문서를 토대로 도출되었다. Green Pricing 프로그램 질문서는 참여, 지난해 판매, 재생에너지 공급, 할 증금(초과 구매력), 프로그램 디자인과 실행, 마케팅, 소비자를 위한 부가서비스 이렇게 총 7부분으로 나누어져있다. 특히 거주자와 비거주자와 참여, 재생에너지 판매량, 프로그램 수명, 사용하는 재생에너지의 종류, 프로그램 가격, 비용 할증료, 프로그램 평가의 종류, 프로그램 마케팅 노력, 참여자에게 제공되는 부수적 가치와 관련된 자료를 모으기 위해 실행되었다. 종속적 변수로 프로그램 유효성 측정과 관련된 비/거주자 참여와 재생에너지 구매를 선택하였으며 독립적 변수로 프로그램 디자인과 마케팅 특징을 들었다. 분석방법으로는 이변성과 다변성 통계적 분석을 이용하였다. 이변성 분석은 쉽게 개별적 독립 변수와 종속변수와의 직접적 관계를 보여주며 다변성 분석은 보다 정확한 영향 산정을 위해 선택한 복합적 독립변수를 이용하였다. 프로그램 유효성 측정을 위해 비/거주자 참여 퍼센트와 재생에너지 구매 퍼센트를 구하였다. 그러나 이 분석에 몇 가지 제한점이 있었다. 소비자 중 국외자의 영향으로 분석에 많은 영향을 주지 않지만 single utility 프로그램은 비거주자참여율과 재생에너지 구매율에 영향을 끼칠 가능성이 있으며 독립/설병변수를 프로그램성공을 위해 거듭 강조하지만 빠지거나 무딘 변수는 여전히 존재한다. 분석 대상이 2002년까지를 대상으로 하기 때문에 시간상의 지체 역시 문제가 될 수 있다. 다중공산성 역시 독립변수간의 상관관계가 나타나면서 발생된다. 하지만 몇 가지 재미있는 결과를 얻어냈다. 프로그램 기간이 소비자 응답에 영향을 미치며 초기 거주고객의 높은 구매력이 지속된다는 것이다. 가격 할증료와 최소 월사용료는 프로그램 성공 초기 결정요인이 되지 않는다. 작은 시설이 성공 달성가능성이 더 큰 것으로 나타났으며 비거주자의 사적 이득 제공 역시 성공 강화에 영향을 끼쳤다.