• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.712-720
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• 2022

The use of social media to disseminate news and interact with project stakeholders is increasing over time in the construction industry. Such social media data can be analyzed to get useful insights of the industry such as demands of new housing construction and satisfaction of construction workers. However, there has been a limited attempts to analyze social media data related to the construction industry. The objective of this study is to collect and analyze construction related tweets to understand the overall sentiments of individuals and organizations about the construction industry. The study collected 87,244 tweets from April 6, 2020, to April 13, 2020, which had hashtags relevant to the construction industry. The tweets were then analyzed to evaluate its sentiments polarity (positive or negative) and sentiment intensity or scores (-1 to +1). Descriptive statistics were produced for the tweets and the sentiment scores were visualized in a scatterplot to show the trend of the sentiment scores over time. The results shows that the overall sentiment score of all the tweets was slightly positive (0.0365). Negative tweets were retweeted and marked as favorite by more users on average than the positive ones. More specifically, the tweets with negative sentiments were retweeted by 2,802 users on average compared to the tweets with positive sentiments (247 average retweet count). This study can potentially be expanded in the future to produce a real time indicator of the construction market industry such as the increased availability of construction jobs, improved wage rates, and recession.

• 한국IT서비스학회지
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• 제19권6호
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• pp.31-53
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• 2020

The traditional media ecosystem is facing major changes with the expansion of over-the-top (OTT) services. While the percentage of people cutting the cord has already exceeded the percentage of people subscribing to pay TV services in the United States, due to the unique characteristics of the Korean market, it is uncertain whether the cord-cutting trend will have an impact on the Korean media industry despite of the advantages of OTT services. Accordingly, this study has directly determined the beneficial and sacrificial factors of switching to OTT services, as well as the personal and external influences behind the Korean OTT service users' intention to switch. To achieve this, the Value-based Adoption Model (VAM) was used to measure the benefits of OTT services with regards to their content and systems, as well as measure the financial and procedural switching costs of cord-cutting; further, personal innovativeness and consumers' social image were added as external variables. The results of this study showed that consumers take the content and system quality of OTT services and procedural switching costs and into consideration, and that their intention to switch was based on social image. These results could serve as data for consumer analysis regarding the expansion of OTT services into the Korean media industry, and also provide the strategic basis for preparing for sudden changes that may occur in the media ecosystem due to cord-cutting.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.31-42
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• 2024

Today, news avoidance has become an inevitable trend, particularly exacerbated since the outbreak of the COVID-19 pandemic in 2020. To delve deeper into the shifting tendencies of news consumers towards news avoidance and unveil the motivations behind this avoidance, this study recruited 500 Chinese news consumers aged between 20 and 60 years old, employing survey questionnaires as the research method. Through an indepth examination of their news consumption behavior at different stages of the COVID-19 pandemic, we discovered that individuals' risk perceptions and efficacy beliefs significantly influence their patterns of news consumption. Furthermore, we identified negative emotions, information overload, and media distrust as the primary reasons for news avoidance among Chinese news consumers during the COVID-19 crisis. These findings Not only provide crucial insights into understanding the dynamics of news consumption behavior but also offer valuable reference points for the news industry to better fulfill its role and value during crises in the future.

• Journal of Information Science Theory and Practice
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• 제11권3호
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• pp.29-42
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• 2023

This study explored issues related to the library in the COVID-19 era in YouTube videos in Korea. This study performed social network analysis and topic modeling analysis by collecting 479 YouTube videos, 20,545 words, and 8,379 channels related to COVID-19 and the library from 2019 to 2020. The study results confirmed that YouTube, a social media platform, was used as an important medium to connect users and physical libraries and provide/promote online library services. In the study, major topics and keywords such as quarantine, vlog, and library identity during the COVID-19 pandemic, library services and functions, and introductions and user guides of libraries were derived. Additionally, it was identified that videos about COVID-19 and the library are being produced by various actors (news and media channels, libraries, government agencies, librarians, and individual users). However, the study also identified that the actor network is fragmented through the channel network, showing a low density or weak linkage, and that the centrality of the library in the actor network is weak.

• 한국융합학회논문지
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• 제11권3호
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• pp.181-186
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• 2020

본 연구는 온라인동영상서비스 OTT(Over-the-Top) 이용자의 몰아보기(Binge-watching) 시청행위에 영향을 미치는 요인을 실증적으로 탐색하였다. 이를 위해 2018년 한국언론진흥재단 미디어연구센터의 'OTT 서비스 이용자 인식조사'에 참여한 OTT 이용 경험자 1,000명의 자료를 수집하여 분석하였다. 종속변수는 OTT 서비스 몰아보기로 설정하였으며, 독립변수는 성별, 연령, OTT 서비스 이용 빈도, OTT 콘텐츠 프로그램 추천 알고리즘 만족도, OTT에서 주로 이용하는 콘텐츠 유형을 포함하였다. OTT 몰아보기 시청행위의 예측 요인은 다층 퍼셉트론(MLP) 인공신경망 알고리즘을 이용하여 분석하였다. 연구결과, 연령, OTT 콘텐츠 프로그램 추천 알고리즘 만족도, OTT 서비스 이용 빈도, OTT에서 주로 이용하는 콘텐츠 유형 중 국내드라마, 국내영화, 해외드라마 등이 OTT 몰아보기 시청행위에 중요도가 높은 요인으로 밝혀졌다.

• 한국콘텐츠학회논문지
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• 제20권4호
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• pp.38-48
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• 2020

본 연구에서는 VR/AR의 실제 이용자가 많지 않은 상황에 주목하여 스마트폰을 활용하여 쉽게 접할 수 있는 AR콘텐츠에 대한 이용자들의 채택 및 이용 과정을 기술 채택 및 이용 확산의 관점에서 탐색하였다. 그 결과 AR콘텐츠 '필요성'에 영향을 미치는 요인은 '즐거움'과 '만족감'의 요인으로 나타났으며, '혁신성'과 '유사미디어 이용경험', 'AR이용기간'의 요인들은 영향을 미치지 않는 것으로 나타났다. 아울러 AR콘텐츠의 이용 경험에 따른 '즐거움', '만족감', '필요성'에 대한 차이를 검증한 결과 즐거움과 만족감만이 이용 경험에 따른 차이를 나타내어 AR콘텐츠의 이용경험이 '필요성'과는 관련이 없는 것으로 분석되었다. 즉, 20대 이용자들은 즐거움과 만족감이 기대될 때, AR콘텐츠를 적극적으로 이용하는 것으로 해석될 수 있으나, AR콘텐츠에 대한 이용자들의 인식이 유희적 수준에 머물러 있음을 확인할 수 있다. 따라서 본 연구를 통해 초기 AR콘텐츠 이용자들의 인식 및 이용 행태의 경향성을 분석해본 바, 초기 이용자 집단의 이해에 중요한 시사점이 될 수 있을 것으로 판단된다.

• 한국컴퓨터그래픽스학회논문지
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• 제26권3호
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• pp.143-153
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• 2020

본 연구는 일상 속에서 스트레스를 관리할 수 있는 VR 컬러테라피 힐링콘텐츠 '노르니르'를 구현하고 이를 제안한다. '노르니르'는 CRR 분석법을 적용하여 사용자가 선택한 3가지 컬러에 따라 맞춤형 VR 컬러테라피 체험의 여정을 제공한다. 사용자는 해당 컬러 여정을 통해 자신에 대해 이해하고, 앞으로 실천할 목표를 다양한 색채 인터랙션과 자극으로 제공받으며, 스트레스 수준을 낮추는 힐링이 가능하도록 설계하였다. 구현된 결과를 바탕으로 콘텐츠 시연 후의 사용자의 스트레스 변화를 확인하기 위해 한국판 기분 상태 검사 'K-POMS'를 실험 참가자들을 대상으로 시연 전후에 실시하였다. 실험 결과 사용자들은 부정적 감정의 감소와 긍정적 감정의 증가를 뚜렷이 보였다. VR 기술을 활용하여 색채심리치료룰 접목하여 일상에서 잦은 스트레스에 노출되는 사용자들의 스트레스를 완화 시켜줄 수 있는 가능성을 제시하였다.

• 한국융합학회논문지
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• 제11권3호
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• pp.201-210
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• 2020

본 논문은 항공 관련 소셜미디어의 정보수용에 있어 이용 동기와 민감도, 성별과 연령을 융합하여 이용태도와 행동을 예측하기 위해 연구를 시행하였다. 구체적으로 성별과 연령에 따른 소셜미디어 정보수용의 차이, 이용 동기와 민감도는 정보수용에 어떤 영향을 미치는지 알아보고자 하였다. 이를 위해 2018년 4월 19일부터 5월 3일까지 온라인 전국 패널 20세 이상 성인을 대상으로 하여 성별과 연령의 편중을 막기 위해 고른 분포로 자료수집을 하였다. 연구결과, 성별과 연령에서 여성과 연령이 낮을수록 소셜미디어 정보수용에 긍정적인 영향을 미쳤다. 이용 동기는 정보수용에 정(+)의 영향을 미치는 것으로 나타났으며, 민감도에는 정보수용에 부(-)의 영향을 미치는 것으로 나타났다. 이를 통해 성별, 연령 등 이용자 계층과 이용 동기, 민감도가 정보수용에 영향을 준다는 것을 알 수 있었다. 또한, 민감도 요인의 부정적인 면도 파악할 수 있어, 항공 관련 소셜미디어 마케팅 전략의 기초자료로 활용할 수 있을 것으로 기대한다.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.312-319
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• 2021

This study aims to help users to have a more satisfying encounter based on the problems found by comparing and analyzing similar applications. That is, an application that derives intermediate points through the subway, which is a public transportation means, and provides information on nearby convenience facilities was proposed. The middle point calculation process uses the dijkstra algorithm, which stores the minimum number of nodes in the stored path from the first input location to the last location. The stack and arraylist are used to search all paths from the first input position to the last position, and then the path with the smallest number of nodes is selected. After that, the number of stations in the route is divided in half and the resulting station is output. In addition, this study provides information on convenience facilities near intermediate points in order to have differences from similar applications. It categorizes within a 1km radius of the point and provides a function that helps to conveniently identify only facilities around the middle point. In particular, by visualizing the number of convenience facilities with radar charts and numbers, it is possible to grasp the commercial district around the midpoint at a glance.

• 패션비즈니스
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• 제24권1호
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• pp.75-87
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• 2020

The purpose of this study is to find trends in new media fashion content by analyzing the fashion content of the official Instagram accounts of domestic fashion magazines that are being transformed by digital media. The framework for these analysis of fashion content type and methods of production is based on one used in an earlier research project. Empirical analysis is conducted on Vogue Korea's official Instagram accounts, using the highest number of major views as the secondary measure of interest. After screening for fashion content in posts on the Vogue Korea account for four months, 291 short video postings were extracted to analyze the number of views the postings received. The results were categorized as 'star', 'show/exhibition', 'product', 'shop', 'fashion film', 'designer', or 'event', included in the data are the number of postings by type and the number of views by post. Based on the characteristics of the creator and the editing, the posts were classified into 'professional production highlight', 'professional production private', 'UCC' or 'GIF' videos, the number of views per post were also collected. The research results show different levels of interest depending on the type of fashion content, and also on the way the videos were produced. The study also investigated how the combination of these two factors affects interest. When producing a new media fashion content, combining a 'star' type post with 'professional production private' video content was most popular. The selection of production method is therefore important even given the same type of content.