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정희진 이화여자대학교 영미학연구소 2001 영어학 연구 Vol.- No.6
This paper examines the necessary conditions on irony, which have been studied and are still being studied by a lot of linguistics. First. some of previous proposals on irony will be discussed and their problems will be pointed out. Especially echoic theory(Wilson and Sperber 1992) and indirect negation(Giora 1999) will be compared. Second, some Korean advertising copies will be discussed to find out appropriate necessary conditions on irony. Based on this Korean advertising copies, it will be proposed situation, negation, indirectness, and intention are the necessary conditions on irony which brings successful irony effects.
본능적, 행동적, 반성적 디자인을 적용한 융합기반 감성요소에 관한 연구 - 고향사랑기부제를 중심으로 -
정희진,choi ryan jongwoo 한국전시산업융합연구원 2025 한국과학예술융합학회 Vol.43 No.3
Launched in Korea in 2023, the Hometown Love Donation Program is designed to bridge regional gaps, address population decline, and strengthen the financial capacity of local governments. Through this program, individuals can donate tax benefits and locally sourced gift items to local governments outside their residential areas. While the initiative initially focused on economic incentives, it paid limited attention to emotional participation strategies that could promote continued participation. To address this gap, this study examines the application of Norman's three levels of emotional design: fusion-based emotional design elements that derive emotional elements from instinctive, behavioral, and reflective elements. The goal is to explore how these fused emotional elements affect the perception and willingness of potential donors to participate. The results are as follows. First, instinctive factors, such as visual impressions and product packaging, improve initial trust and interest. Second, behavioral factors, including intuitive exploration and emotional feedback, improve usability and increase donation intention. Third, reflective factors, such as storytelling and emotional connection with the community, increase personal relevance and promote long-term participation. These findings suggest that strategic utilization of fusion-based emotional design elements can contribute to a more sustainable donation culture by increasing participation in hometown love donation programs and strengthening emotional connections between individuals and communities.
1인 미디어 사이트의 공간분석을 통한 효과적인 유저 인터페이스 디자인 연구
정희진,김민정 한국디자인문화학회 2005 한국디자인문화학회지 Vol.11 No.2
A cyberspace nowadays is becoming another place for a communication, ditching a cell phone behind. We check our media blog (also know as 'minihompy') at least once a day to see who have visited and left a message. And then we visit their blog as well. A various groups of new generations between 10s and 20s have their own unique media blog and a media blog is gaining popularity from even 30s or 40s due to this blog trend spreading over the internet. These personal media is now accepted as a cultural code that describes our generation outside a cyberspace. Blog sites on the internet are building UI (User Interface) in more various ways to attract more bloggers on the internet.The UI of 'CyWorld' and 'Naver Blog', two of the most well-known blogs were analyzed and each media's characteristics were summarized, categorizing each media to a public space and a personal space. Furthermore, how UI design affects users on the internet is also analyzed and researched. Each blog have been seeking a user friendly cyberspace design with its own strengths. In the case of 'CyWorld', it has more personal space. On the other hand, 'Naver blog' has UI designs with more public space.However, in terms of service, the boundary of Korean personal media is currently getting blurred. For example, planet is one of the new features of Blog. And Naver Blog is starting to provide features such as 'PhotoLog', various layout and colors. It is natural that competing companies implement each other's strength and become similar. It is predicted that personal media will be improving more in the future and only blog site that successfully integrates strength of each other, will survive. It seems that a personal media will be ongoing internet trend along with 'community', a group based media. Therefore, an effort to improve UI design is constantly required.
정희진,김태욱,배상훈 한국교통연구원 2015 交通硏究 Vol.22 No.1
교통정보의 수요가 증가하면서 그 중요성이 점차 강조되고 있다. 이에 따라 지속적인 국가 ITS 사업을 통해 교통정보 수집을 위한 ITS 인프라를 확대하고 있다. 그러나 프로브차량 기반의 교통정보 수집체계의 경우 주요 도로를 제외한 대부분의 도심부 도로망에서는 5분 이상 프로브 차량이 검지되지 않는 장기결측이 빈번히 발생하고 있다. 따라서 본 연구에서는 장기결측이 발생하지 않는 주간선도로에서 수집된 교통정보(평균통행속도)를 활용하여 장기결측이 빈번하게 발생하는 우회경로의 교통정보를 예측하는 예측모형을 제안하였다. 본 연구에서 주간선도로로 구성된 주경로와 우회경로로 짝지어진 4개의 연구구간에 대해 상관도 분석을 수행하여 연구구간을 선정하였다. 최종적으로 한밭대로와 우회경로로 구성된 구간이 가장 높은 상관도(0.6 이상의 상관계수)를 나타내어 연구구간으로 선정되었다. 우회경로의 교통정보를 예측하기 위한 모형으로 인공신경망 모형이 제안되었다. 제안된 모형은 선정된 연구구간에 적용되어 이력패턴데이터를 이용한 경우와 비교하여 검증되었으며, 평가는 실측값과의 오차를 기반으로 수행되었다. 그 결과, 이력 패턴데이터를 이용한 예측의 경우 MAE가 8.33이었고 MAPE가 21.00%였던 반면 제안된 인공신경망 모형의 예측력은 MAE가 4.47(46.34% 개선)이었고 MAPE가 12.63%(39.86% 개선)이었다. 검증 결과 과거 이력데이터를 활용한 방법에 비해 상관도가 높은 경로의 관측값을 활용한 인공신경망모형을 통한 장기결측 처리 방법이 월등히 우수한 결과를 보였다. Importance of traffic information has been emphasized as demand has risen and intelligent transport systems (ITS) infrastructure to collect traffic data has been expanded by national projects. In case the infrastructure, collection of traffic data via probe vehicles has significant long term missing data as no probe vehicles were collected for more than five minute intervals. This pattern frequently occurs in urban road networks due to low detecting rate of probe vehicles with exception for major urban arterial. In this paper an estimation model was created to estimate average travel speed of a detour route with long term missing data using observed average travel speed of the base route consisting primarily of major arterial. The authors considered four candidates for a study area with links of a base route and an adjacent detour route via correlation analysis. The Hanbat Expressway and the detour route link were chosen with a higher correlation coefficient than 0.6. An artificial neural network model is proposed in order to estimate the average travel speed of the detour route. The proposed artificial neural network model was applied to the selected study area and evaluated by comparison between pattern data of the detour route and the estimation model. Results show the estimation using pattern data has MAE of 8.33 and MAPE of 21.00%, but the proposed model had MAE of 4.47 (46.34% decrease) and MAPE of 12.63% (39.86% decrease).