• Journal of Korea Game Society
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• v.6 no.3
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• pp.23-32
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• 2006

Users connect to game server for considerably many hours and perform their roles in MMORPG(Massively Multiplayer Online Role Playing Game), users' immersion degree is very higher than other games, have known affluent contents make users play various roles in game world. However, although contents of games are improved quite much, MMORPG remains still boring game. It is because that the NPC (Non Player Character)' behavior patterns that are the most important elements to make games fun are so simple. So, in this paper we proposed a method to create NPC that react in player's inclination by implanting personality and emotion to NPC.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.296-300
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• 2006

It is difficult to let computer express feelings because of the ambiguity and nonlinearity. But it is said that expressing emotions is very important for high quality data processing and improvement of interactivity in WBI. In this paper, I surveyed emotion models from the view point of psychology. Next, I proposed WBI(Web Based Instruction) based on character agent considering emotional experience. By experimental result, the proposed model shows that has more user's preference than other existing WBI.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.325-326
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• 2008

서비스 로봇은 인간과 상호 교감을 하기 때문에 감성기반 인터렉션을 가지고 있어야 한다. 그리고 로봇이 인지하는 상황과 환경이 같을지라도 감정 기반 행동 결정 모델의 출력이 달라질수 있도록 한다. 이는 설계하고자 하는 감정 기반 행동 결정 모델의 특성을 변화함으써 해결하고자 하며, 감정 모델의 특성은 성격을 의미한다. 따라서 사람과 같이 성격을 달리함으로써 로봇이 감정을 느끼고 이에 따른 반응을 행동으로 옮길 때, 성격을 반영한 결과를 보이게 된다. 본 논문에서 제안하는 감정 엔진 모델은 reaction dynamics와 internal dynamics, emotional dynamics, behavior dynamics, 성격 등의 다섯 가지 요소로 구성되어 있다. 모든 dynamics는 성격에 영향을 받아 결과를 출력한다. 실험을 위하여 시뮬레이터를 구현하여 성능을 검증하고, 실제 로봇에 적용하기 위하여 3D 캐릭터기반의 헤드 로봇 시스템을 사용하였다.

• International Journal of Contents
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• v.17 no.4
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• pp.52-61
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• 2021

The 2020 US Presidential Election was a highly-anticipated moment for our global society. During the election period, the most intriguing issue was who would be the winner-Trump or Biden? Among the possible main themes of the 2020 election, from the COVID-19 pandemic to racism, this study focused on feminism ('women') as a main component of Biden's victory. To explore the character of Biden's supporters, this paper focused on internet spaces as a source of public opinion. To guide the data analysis, this study employed four indices from empirical studies on Big Data analytics: issue salience, attention diversity, emotional mentioning, and semantic cohesion. The main finding of this study was that the representative keyword 'women' appeared more prevalently within content related to Biden than Trump, and the keyword pairs indicated that female voters were the main reason for Trump's failure but the root cause of Biden's victory. The results of this study indicated the role of the internet as a forum for public opinion and a fountain of political knowledge, which requires more rigorous investigation by researchers.

• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.329-339
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• 2010

This study has been pointed out that Information Communication Ethics Education has been mentioned only about a cognitive factor. Then the purpose of this study is verify the effects through the Instructional design of Information Communication Ethics that was compensate the problem. To achieve this, it was included all the cognitive, emotional and active factor of Integrated Character by Thomas Lickona. It has been modified that Information Communication Ethics Test of Lee Chae Young(2009) to be included all the factors of Integrated Character to verify the designed instruction. It has been designed that each steps included the component of Integrated Character using Gerlach & Ely systematic instruction model then, the designed instruction has been applied to the secondary school and verified the effectiveness. As a result, it has been proved that Experimental group is more effective than Control group.

• Journal of the Korea Computer Industry Society
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• v.2 no.10
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• pp.1291-1300
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• 2001

This article come to study the visualization representation technique of eye brain of person, basing on the ground of the dynamic graphics which is able to change the real time, manipulating the image as graphic factors of the multi-data. And the important thought in such realization is as follows ; corresponding the character points of human face and the parameter control value which obtains basing on the existing image recognition algorithm to the multi-dimensional data, synthesizing the image, it is to create the virtual image from the emotional expression according to the changing contraction expression. The proposed DyFIG system is realized that it as the completing module and we suggest the module of human face graphics which is able to express the emotional expression by manipulating and experimenting, resulting in realizing the emotional data expression description and technology.

• Science of Emotion and Sensibility
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• v.6 no.2
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• pp.37-47
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• 2003

The objectives of this study were to find the relationship between the olfactory sense such as perfume and sense of sight and how it affects the sensibility based on the fact that ,senses are compound feeling from detective parts of human body. First, to build the emotional rate stale we selected the 19 pairs of adjective from the previous studies that overlaps smell, color, and clothes and added one pairs of related clause. Then each pair was divided into 7 level of emotional stage. In the experiment by the selected 15 man and woman from the visual design major student of Hong-ick Univ each student was given floral, jasmin, lavender, papaya and asked them to pick one color from I.R.I Hue & Tone chart for each smell. Then, analyzed the emotional rating of selected color for given smell. The emotional structure of smell and color consists five parts; 'Esthetics', 'Romance', 'Character', 'Intensity', 'Nature', There were significant differences in frequencies of selected colors for each given smell and gender difference also affected the color selected. Average value of emotional rating scale of smell and color was ,similar to the results from previous studies on relationship between smell and emotion.

• Science of Emotion and Sensibility
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• v.21 no.4
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• pp.11-24
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• 2018

This study was based on previous ones that demonstrate how social exclusion leads to a desire for physical warmth. Research was conducted using odor-induced emotions to predict social exclusion, leading to a pursuit of emotional warmth and avoidance of emotional distance. For this purpose, a preliminary study sought to select odors perceived to be emotionally warm and emotionally distant, after which two experiments verified differences in odor preference between the social exclusion group and the control group. Results indicated that individuals who have experienced social exclusion had a stronger preference for warm odors and a weaker preference for cold odors compared to those who have not been socially ostracized. This study has theoretical value in terms of expanding the social exclusion-induced desire for physical warmth into the emotional dimension as well as examining the avoidance of emotional coldness, which had been overlooked in previous research studies. This also leads to practical implications for comfort foods, character emotions, emotional-space design, and emotions for artificial-intelligence chatbots.

• Asia-Pacific Journal of Business
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• v.15 no.2
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• pp.1-22
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• 2024

Purpose - The Chinese fan community includes a significant number of young and middle-aged individuals, playing a crucial role in emotional mobilization and social engagement. In recent years, the impact of Celebrity Pairing or Character Pairing (CP) on Weibo has grown notably, partly due to features like Super Topics and Hot Searches. This phenomenon has enhanced fan engagement, resulting in heightened participation in discussions and interactions on the platform. Our study targets CP fans of movies and television dramas on Weibo and aims to identify the factors that drive their emotional sharing. Design/methodology/approach - The research methodology integrates Self-Determination Theory and Social Sharing of Emotion Theory within the EASI (Emotion, Attachment, and Social Integration) model. This approach aims to uncover how CP fans meet their emotional needs via social media and determine the factors influencing their sharing intentions and behaviours. Data were collected through online surveys, yielding 504 valid responses Findings - The analysis, performed with SPSS and Smart PLS software, reveals that self-determination, interpersonal relationships, and social media tolerance significantly affect fans' intentions to share content. Specifically, intrinsic motivation, driven by self-determination, is a critical factor in CP fans' propensity to share content, highlighting the importance of 'inward socialization.' Additionally, the study finds that external factors, like the social media environment, play a more minor role than internal motivators. Research implications or Originality - This research enhances quantitative research methodologies by identifying intrinsic and extrinsic motivations that satisfy the emotional needs of CP fans. It distinguishes between individual, interpersonal, and collective/social factors as motivational elements, providing insights into the emotional and psychological needs of the Chinese movie and TV drama fan community.

• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.447-450
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• 2000

컴퓨터 그래픽 기술의 발전에 따라 영화, 가상현실, 게임 등의 분야에서 캐릭터 애니메이션에 대한 연구가 활발히 이루어지고 있다 기존의 캐릭터 애니메이션 기술에서는 애니메이터가 직접 움직임을 정의하였지만, 최근에는 사용자의 환경이나 실세계 환경에 상호작용 하면서 지능적으로 동작할 수 있는 감성 캐릭터 애니메이션이 요구되고 있다. 본 논문은 사용자와 상호작용하는 과정에서 사용자의 감정상태를 파악하고, 이에 대응하는 적절한 행동을 할 수 있는 캐릭터의 생성에 대한 연구이다. 본 논문에서는 캐릭터에 감성을 부여하기 위하여 OCC모델을 바탕으로 하여 시스템을 설계하였다