이준환 교수

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> A variable-speed engine generator set for an isolated power system is investigated due to reduced fuel consumption and less emission. However, because of the sluggish dynamic behavior of the internal combustion engine, the power quality would be degraded during the sudden load power surge, where the power required by the load is not available by the engine because of the reduced engine speed. An isol

Text-based interpersonal communication tools such as instant messenger are widely used today. These tools often feature emoticons that people use to express emotion to some degree. However, emoticons still lack the ability to communicate the details of an emotional response, such as the speaker's tone of voice or intensity of emotion. In this paper, we hypothesize that kinetic typography - text that moves or changes over time - can address some of this problem by enhancing emotional qualities of

In-vehicle navigation has changed substantially in recent years, due to the advent of computer generated maps and directions. However, these maps are still problematic, due to a mismatch between the complexity of the maps and the attentional demands of driving. In response to this problem, we are developing the MOVE (Maps Optimized for Vehicular Environments) system. This system will provide situationally appropriate map information by presenting information that uses appropriate amounts of the

A variable speed engine generator set for an isolated power system is investigated to reduce fuel consumption and emission than conventional fixed speed engine generator. However, the power quality of the variable speed engine generator set would be degraded to the sudden load power surge, and the power required by the load would not be available because of the lowered operating speed condition and the sluggish dynamics of the engine in this variable speed engine generator system. A super-capaci

This study introduces a data-driven approach for analyzing behavior patterns of social website users with EE behaviors. We discovered the possibility of the LDA topic model as an exploratory user study method for abnormal behaviors in medical research. We also investigated the possibilities of ML- and topic modeling-based classifiers to automatically categorize text-based behavioral data, which could be applied to personalized medicine in future research.

Algorithms are playing an increasingly important role in the production of news content as their computation capacity in manipulating large-scale data continues to grow. In this article, we present Personalized and Interactive News Generation System (PINGS), an algorithm-driven news generation system that is designed to provide personalized and interactive news for sports. We designed PINGS to generate baseball news based on the statistical importance of data and the direct manipulation of user

As the uses of conversational agents increase, the affective and social abilities of agents become important with their functional abilities. Agents that lack affective abilities could frustrate users during interaction. This study applied personality to implement the natural feedback of conversational agents referring to the concept of affective computing. Two types of feedback were used to express conversational agents’ personality: (1) visual feedback and (2) verbal cues. For visual feedback,

With the advancement of AI, even people without professional experience can create artworks using AI-based image generation systems like DALL-E 2. However, little is known about how users interact with these new AI algorithms, much less how AI-infused systems can be designed. We explore the user experience of these new technologies and their potential to foster creativity. A user study was carried out where 13 participants executed tasks of creating artworks using DALL-E 2 alongside in-depth int

Based on the study results, we suggested design implications to consider when designing computer-based interventions for CVS. The sophisticated design of the customization interface can make it possible for users to use the system more interactively, which can result in higher engagement in managing eye conditions. There are important technical challenges that still need to be addressed, but given the fact that this study was able to clarify the various factors related to computer-based interven

키네틱 타이포그래피는 정적인 텍스트에 동적인 속성을 부여하여 다양한 감정을 표현하기 위한 방법으로서 연구되어 왔다. 본 연구에서는 감정 전달의 측면에서 키네틱 타이포그래피가 지니는 효용성과 감정 전달에 가장 큰 영향을 끼치는 키네틱 요소가 무엇인지 살펴보았다. 감정은 무드(Mood)와 에너지(Energy)라는 두 가지 차원을 통해 평가될 수 있는데, 본 연구에서는 전문가에 의해 미리 제작된 80개의 키네틱 타이포그래피 효과의 무드 및 에너지를 21명의 참여자가 평가하였다. 분석 결과, 실험 참여자들은 전문가들이 효과를 제작할 때 의도한 바에 상응하는 무드와 에너지를 느끼는 것으로 나타났다. 이는 미리 제작된 키네틱 타이포그래피 효과에 담긴 감정이 성공적으로 전달되고 있음을 보여준다. 개별 속성이 무드와 에너지에 미치는 영향을 조사한 선형분석에서는 글자 크기, 이동방향, 투명도, 속도 및 가속도 등이 에너지를 변화시키는데 유의미한 영향을 주었으며, 글자 움직임의 규칙성 여부, 투명도,

Recently drivers have greatly benefited from new vehicular technologies such as in-car navigation systems, but at the same time they can be easily distracted from those technologies. Consequently, creating displays that balance the communication of information with the attentional demand imposed on the driver is of increasing importance. A set of research has been conducted to minimize the driver’s attentional cost toward the navigational displays while driving. However, accurate evaluation meth

The use of an in-vehicle navigation system should enable drivers to minimize their attention to the display in order to drive safely. However, current navigational devices are not designed to consider the human cost and effects when the systems are used in the driving situation. In this paper, we present guidelines and recommendations to be used in the design of in-vehicle navigation system from the disciplines of human factors, cognitive science, human-computer interaction and information desig

This study compares the effectiveness of artificial intelligence (AI)-aided versus human-assisted fact-checking for different types of news, namely hard and soft news. To this end, an online experiment was carried out separately in Korea and the United States, employing a 2 (news type: hard news vs. soft news) × 2 (fact-checker: AI vs. human experts) between-group factorial design. Findings suggest that AI’s fact-checking, with its perceived objectivity and lack of bias, is potentially more effe