RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
          펼치기
        • 주제분류
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        검색 포털을 이용한 미세먼지 관심과 여가활동 참여 관계 연구

        조정형(Cho, Jeong-Hyung),김영재(Kim, Young-Jae) 한국체육과학회 2017 한국체육과학회지 Vol.26 No.4

        As smartphone and Internet become widespread, everyone can search and obtain personal interests more easily. Therefore, this study aimed to examine the correlation between amounts of fine dusts in Seoul and the participation in the old palace in 2016 by using Naver trend offered by Naver Korean portal website. Data for 366 days was used for analysis. Closed days or under construction in the old palace were measured as missing values. First, analysis found that interests in fine dust was highest on April 24 and numbers of searching recorded the highest in May. Second, the highest amounts of fine dusts was recorded on April 23 and generally in spring. Third, a regression logic analysis of amounts of fine dust and interests in fine dust found that the higher amounts of fine dusts were, the more people paid attention. Fourth, the higher amounts of find dust and interests are, adult participants showed positive associations, while children participants showed negative association regarding the association between find dusts and old palace visitors. Lastly, the association between adult participants and children participants turned out positive. This study has its value in identifying the correlation between amounts of find dust, interests in find dust, and old palace participants. Based on these findings, more detailed research is needed in the following studies.

      • KCI등재

        확장된 기술수용모델을 적용한 스포츠애플리케이션 다집단(Multi-Group)분석

        조정형(Cho, Jeong-Hyung),김영재(Kim, Young-Jae) 한국체육과학회 2015 한국체육과학회지 Vol.24 No.5

        This study analyzes the process of receiving applications for the sport is perceived playfulness variable spiced extended technology acceptance model and aims to clarify the structure occupies between men and women. Form through the structural model analyzed and the group analysis (Multi-Group Analysis) in order to achieve the purpose of the present study identity, identity measures, the model validation technique by receiving the expanded section presenting an identity is available between the male and female groups and the groups Structural equation analysis, the average analysis was to verify the potential gender differences and sports applications through the acceptance process for the acceptance factor. User 467 people used the subject of this study is to download and sport applications (men = 295, women = 172) were targets wool. The results of this study form the identity of the extended technology acceptance factor, measuring identity, intercept identity is verified both men and women were perceived to confirm that both men and women, the group structural equation model results available hypothesis 1. Hypothesis 2. Hypothesis 3. Hypothesis 7 is adopted was, the hypothesis was adopted only four groups of women.

      • KCI등재

        직장인들의 일 반추가 여가제약과 여가이득에 미치는 영향

        조정형(Cho, Jeong-Hyung),김영재(Kim, Young-Jae) 한국체육과학회 2019 한국체육과학회지 Vol.28 No.6

        This study aims to examine a regression between work-related rumination and leisure activities. For this study, correlations among work-related rumination, leisure constraints and leisure benefit factors were measured by conducting an online survey with 287 participants in leisure activities. The data collected were analysed using SPSS 25 Ver. For data processing, the answers of questionnaires measured were coded, and based on the results, frequency analysis, descriptive statistics and multiple regression analysis were carried out. On the basis of the study findings, the following conclusions were obtained. multiple regression analysis was performed in order to investigate the effect of work-related rumination on leisure constraints and leisure benefits. As a result, emotional rumination had a positively significant effect on all of individual constraints, interpersonal constraints and structural constraints, and separation factors had a positively significant effect on all of psychological benefits, social benefits, physical benefits and individual benefits. This result indicates what modern office workers keep receiving business contacts or think of works even after work is a constraint on leisure activities, and this reduces leisure benefits. Thus it is needed to extend related studies on work-related rumination and diverse leisure activity factors, understanding that work-related rumination is associated with leisure activities.

      • KCI우수등재

        AI 적용을 위한 여가활동 프레임워크 기초 연구: 틀짜기 효과를 중심으로

        조정형 ( Cho Jeong-hyung ),김영재 ( Kim Young-jae ) 한국체육학회 2021 한국체육학회지 Vol.60 No.4

        본 연구는 틀짜기 효과를 사용하여 여가활동에 인공지능(AI)기술이 효과적으로 사용될 수 있는 정보를 알아보기 위해 연구를 진행하였다. 본 연구목적을 달성하기 위해 경제학 분야에서 사용되는 틀짜기 효과를 배경으로 여가활동에 참여하고 있는 338명 데이터를 분석하였다. 자료 분석은 SPSS 25.0을 통해 실시하였으며, 참여자들의 전반적인 의견을 적용하기 위해 다중응답 분석을 한 후, 사회적 특성에 따라 다중교차분석을 시행하였다. 결과는 다음과 같다. 첫째, AI 여가 콘텐츠 정보 구성비율은 그룹 3의 형태인 긍정 정보 70%, 부정정보 30%의 내용이 포함되어야 하는 것으로 나타났다. 둘째, 희망하는 AI 여가 콘텐츠 제공자는 여가활동 참여자들로 나타났다. 마지막으로 희망하는 AI 여가 콘텐츠 정보 출처는 여가 관련 SNS & 블로그로 나타났으며, 다음으로 각종 서적으로 나타났다. 본 연구는 여가 콘텐츠를 위해 AI 학습에 필요한 정보를 어떻게 구성하고 제공해야 하는지에 대한 시사점을 제시하는 데 의의가 있다. This study was conducted to investigate information so that artificial intelligence (AI) can be used effectively in leisure activities by using framing effect. In order to achieve the research objective, framing effect that is utilized in economics was used as the background to analyze the data of 338 participants of leisure activities. For the data analysis, SPSS 25.0 was used and in order to apply the general opinions of the participants, multiple response analysis was conducted and it was followed by multiple cross-tabulation analysis based on the social characteristics. The research findings are as follows. First, it was displayed that the AI leisure contents information composition ratio must include 70% positive information and 30% negative information in form of group 3. Second, it was displayed that the participants of the leisure activities are the providers of the desired AI leisure contents. Lastly, the sources of the desired AI leisure contents information were leisure related social network service (SNS) & blogs, followed by various kinds of books. This study is meaningful because is proposes an implication about how to construct and provide information necessary for the AI learning of leisure contents.

      • KCI등재

        여가활동 참여자의 미세먼지 문제인식이 참여행동에 미치는 영향

        조정형(Cho, Jeong-hyung),차은주(Cha, Eun-joo),김영재(Kim, Young-jae) 한국여가문화학회 2018 여가학연구 Vol.16 No.3

        본 연구는 여가활동에 참여하는 사람들의 미세먼지 문제인식과 계획행동이론요인의 관계를 규명하는데 목적이 있다. 연구대상은 여가활동을 참여하는 사람들을 모집단으로 선정하였으며 두 개의 스크리닝 문항을 통해 대상을 추출하였다. 총 317부의 설문지 가운데 응답이 불성실하거나 답변이 누락된 17부의 설문지를 제외하고 300부의 표본을 분석에 사용하였다. 수집된 자료는 SPSS 23ver.을 사용하여 상관분석과 다중회귀분석으로 결과를 도출하였다. 미세먼지 문제인식과 계획행동이론요인간의 관계를 검증한 결과는 다음과 같다. 첫째, 미세먼지 문제인식이 태도에 미치는 영향은 위협인식이 정(+)적인 영향을 미쳤으며(β=.518, p<.001), 문제발생인식은 부(-)적인 영향을 미치는 것으로 나타났다(β=-.273, p<.001). 둘째, 미세먼지 문제인식이 주관적규범에 미치는 영향은 문제발생인식이 정(+)적인 영향을 미치는 것으로 나타났다(β=.512, p<.001). 셋째, 미세먼지 문제인식이 지각된통제에 미치는 영향은 문제발생인식이 정(+)적인 영향을 미치는 것으로 나타났다(β=.260, p<.001). 마지막으로 실내여가활동과 실외여가활동으로 구분하여 분석한 결과 두 그룹 모두 같은 결과가 나타났다. 결론적으로 미세먼지문제는 태도에 가장 높은 설명력으로 영향력을 미쳤으며 다음으로 주관적규범에 영향력을 미치는 것으로 나타났다. 또한, 실내·외 여가활동 참여자들에 미세먼지문제에 대한 계획행동요인에 미치는 영향은 차이가 없는 것으로 나타났기 때문에 이러한 특성에 맞는 현실적인 대응방안이 마련되어야 할 필요가 있다. The purpose of this study is to identify the association between the awareness of fine dust problem of people who participate in leisure activities and planned behavioral theoretical factors. People who participate in leisure activities were selected as a population group and subjects were extracted by using two screening questions. This study used 300 sample questionnaires for analysis except for 17 unqualified and inadequate questionnaires among 317 questionnaires. SPSS 23 version program was used for collecting data and results were obtained by using correlation analysis and multiple regression analysis. Findings that tested the association between the awareness of fine dust problems and planned behavioral theoretical factors are presented as follows. First, threat perception of fine dust problems affected positively attitude(β=.518, p<.001) and the awareness of problem occurrence influenced negatively(β=-.273, p<.001). Second, this study demonstrated that the awareness of fine dust problems gave negative impacts on subjective norms(β=.512, p<.001). Third, the awareness of fine dust problems had positive effects on perceived control(β=.260, p<.001). Lastly, analysis of the awareness of fine dust problems dividing into indoor leisure activity and outdoor leisure activity found that both groups showed identical outcomes. In conclusion, fine dust problems affected attitude with the highest explanation power followed by subjective norms. Moreover, no difference was found in the effects of fine dust problems on people who participate in outdoor and indoor leisure activities and planned behavioral factors. Therefore, realistic solutions fit these characteristics need to be prepared.

      • KCI우수등재

        SNS에 나타나는 여가활동과 미세먼지에 대한 키워드 토픽 분석: 유튜브(Youtube)를 중심으로

        조정형 ( Cho Jeong-hyung ),김영재 ( Kim Young-jae ) 한국체육학회 2019 한국체육학회지 Vol.58 No.6

        본 연구는 유튜브에 나타나는 여가 활동과 미세먼지에 대한 키워드 주제를 분석하여 그 구조를 알아보는데 목적이 있다. 본 연구의 분석 자료는 유튜브에서 ‘여가 활동’, ‘야외 활동’ 및 ‘미세먼지’ 키워드로 수집하였다. 추출 된 여가 활동과 미세먼지에서의 키워드 구조를 규명하기 위해 총 137 개의 동영상과 1,228 개의 댓글을 분석했다. 본 연구 분석을 통해 YouTube에 나타나는 여가 활동과 관련된 미세먼지 키워드 구조는 다음과 같다. 첫째, 키워드 분석에서는 ‘중국’, ‘활동’, ‘사람’이 가장 높게 나타났다. 둘째, 중앙성 분석에서는 ‘활동’, ‘오늘’, ‘건강’이 높게 나타났다. 셋째, 클러스터 분석결과 동영상을 업로드 하는 사람들은 5개의 큰 구조로 키워드가 구성되어 있었으며, 댓글은 중국을 중심으로 하나의 단어로 구성되어 있었다. 즉, SNS의 주요 의사소통은 미세먼지에 대한 원인과 예방 정보였으며 여가활동에서 나타나는 미세먼지의 대응 전략과 같은 내용은 부족했다. 또한, 동영상 사용자와 댓글의 키워드 분석결과 구조가 다르게 나타났다. 따라서 여가활동에서 미세먼지에 대한 콘텐츠를 다루기 위해 본 연구의 자료가 기초로 사용될 것으로 사료된다. This study is a keyword topic analysis study on leisure activity and fine dust in SnS, and citizens had a lot of anxiety through the longest fine dust in March 2019. As a result, people only have access to simple weather information on fine dust and have no information on outdoor activities and outdoor leisure activities. Therefore, this study examined the knowledge transfer knowledge structure by analyzing keyword topics about leisure activities and fine dust appearing on Youtube. The Collected keywords in this study were collected as ‘Leisure Activity’, ‘Outdoor Activity’ and ‘Fine Dust’. A total of 137 videos and 1,228 comments were analyzed to examine the knowledge structure of extracted leisure activities and their use in fine dust. Through this research analysis, the fine dust keywords related to leisure activities appearing on YouTube were mainly obtained from China, people and activities. In other words, the main communication in SNS was the cause and prevention information on fine dust, and the measures to deal with leisure activities on fine dust were lacking. In addition, the keyword information of the fine dust keywords and comments provided by youtuber appeared to be in conflict. Therefore, more in-depth research should be done for leisure activities than information on general fine dust such as China, activities and people.

      • KCI등재

        국가연구개발 사업 AI 학습용 스포츠 데이터 구축 관련 내용분석 연구 : 의미연결망 분석을 사용하여

        조정형(Cho, Jeong-Hyung),김영재(Kim, Young-Jae) 한국체육과학회 2021 한국체육과학회지 Vol.30 No.3

        The purpose of this study is to analyze tasks of the 2021 artificial intelligence learning data construction support project announced by the Ministry of Science and ICT and Intelligence Information Service for examining the contents and the directivity of artificial intelligence projects in the field of sports at the present moment when the importance of artificial intelligence for national and social innovation is highlighted. For achieving this study purpose, there was a network analysis of data acquisition and processing for volleyball, baseball and martial arts tasks of this project. The study results are as follows. First, data processing results were distributed and centralized focusing on ‘information’ and ‘data’, and upper-class network information related to sports included ‘sports and ’person’. Second, data acquisition results were centralized focusing on ‘image’ and ‘data’, and there were no direct upper-class network key words regarding sports. These results demonstrate that most artificial intelligence projects related to sports contain engineering contents and thus might be insufficient to show accurate characteristics of sports. It is, therefore, thought that in future, a notice of announcement on sports-related artificial intelligence projects will need to specify direct and specialized contents related to sports in detail to solve this problem.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼