• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.125-133
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• 2007

Many researches have tried to introduce affective computing for Human-Computer Interaction (HCI). In the affective aspect, emotional memories significantly affect on people's cognitive processing activities. In this paper, to observe the effect of affective feedback for emotional state of learners in an e-learning environment, selected emotional feedback messages and delivery method are integrated into an e-learning system. Self reporting button for recognizing learner's emotional state are used for detecting learner's emotional states and the test results show that providing affective feedback to learner has positive effects in e-learning environment in terms of learner's academic achievements.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.37-48
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• 2014

Social emotion is being highlighted as an important factor of human life in terms of quality of communication as a variety of social networks are commonly used. To understand such social emotion, this study verifies and analyzes the significance of lexical meaning and expression of emotion basically for understanding of complex meaning of social emotion. The emotional expressions represented in SNS text messages, one of the major channel of communication, are examined in this study to create scales of meaning and expression and to understand the differences deeply. As a result of the analysis, it turned out that negative assessment factors were more than positive ones among social emotional factors while positive ones were outstandingly many in the case of social emotional expression. Social emotional factors were classified by basic emotional elements and valences while emotional expression included complex meaning and especially positive elements were dominant in general.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.93-99
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• 2009

The color harmony in video was no way to know for giving pleasure. By identifying these color harmony, it gives order, clarity, similarity, contrast, etc. Therefore, to identify the color balance is very important. Color Harmony identify the color is whether the harmony by color harmony theory of Munsell, Ostwald, Firren, Moon & Spenser, Itten, Chevreul, and Judd etc. One of these methods, we identify color harmonies of 2 colors, 3 colors, 4 colors, 5 colors and 6 colors using Itten's color balance. Identification is using by Canny edge extraction, labeling and clustering, and color extraction and harmony etc. By identifying this color harmonies, we have laid the foundation of emotional database construction and emotional recognition.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.101-106
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• 2002

최근 사무환경에서 컴퓨터 사용시간이 급증함에 따라 컴퓨터 소음의 불쾌감으로 인한 저소음형 컴퓨터에 대한 요구가 증가하고 있다. 이에 따라 효율적인 소음조절을 위하여 컴퓨터 소음에 대한 실태 조사를 위하여 설문조사를 실시하였으며, 물리적 측정치와 더불어 심리음향학적 각종 파라메타를 계산하였다. 또한 일반적 업무 Task가 주어진 상태에서 컴퓨터 소음에 대한 근무자의 상하한계치 설정을 위한 청감실험을 실시하였다. 설문조사 결과, 가장 시끄럽게 인식되는 소음은 팬소음(사용자 컴퓨터)과 키보드 사용음(타인 컴퓨터)으로 나타났으며, 약 55%의 사용자들이 보통 컴퓨터 소음에 대해 시끄럽게 느끼고 있는 것으로 나타났다. 또한 현재 사용중인 컴퓨터의 소음에 대해 사용자의 약 20% 정도만이 조용하게 느끼며, 컴퓨터 소음이 업무효율을 떨어뜨린다는 응답도 약 35%로 나타났다. 팬소음, CD-Rom 구동음, HDD 작동음에 대해 청감실험을 실시한 결과, 각 소음의 상하한치는 각각 31∼51dB(A), 34∼54dB(A), 34∼58dB(A)로 나타났다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.219-224
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• 2022

The Korea Meteorological Administration(KMA) has been released life-related indexes such as 'Life industrial weather information' and 'Safety weather information' while other countries' meteorological administrations have been made 'Human-biometeorology' and 'Health meteorology' indexes that concern human sensibility effections to diverse criteria. Although human sensibility changes have been studied in psychological research criteria with diverse and innumerous application areas, there are not enough studies that make data mining based validation of sensibility change factors. In this research I made models to estimate sensibility change caused by weather factors such as temperature and humidity, and validated by collecting sensibility data from SNS text crawling and weather data from KMA public dataset. By Logistic Regression, I clarify factors affecting sensibility changes.

• Advanced Industrial SCIence
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• v.3 no.2
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• pp.1-7
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• 2024

This paper deals with the topic of quantification of soft power through emotional analysis. Sentiment analysis refers to the process of detecting and analyzing emotions or emotions in various data such as text, voice, and images. Therefore, in this paper, we explored the methodology and significance of how soft power can be quantified through emotional analysis. Soft power refers to the ability of a country or organization to influence the behavior of another country or organization in a desired direction. It is built by soft factors such as culture, values, and political system rather than military or economic means. Additionally, sentiment analysis is being used as a useful tool to measure and understand these soft areas.

• 가정의 벗
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• v.37 no.7 s.431
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• pp.14-15
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• 2004

컴퓨터라는 기계가 보편화되면서 우리의 삶은 윤택하게 되었으며 의식주 다음으로 중요하게 여겨지고 있다. 컴퓨터는 우리의 감성코드와 잘 어우러지는 애완동물과 같은 생각이 든다. 우리 생활에 절대 없어서는 안될 애물단지 컴퓨터를 소중하게 가족처럼 아껴주어야 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.289-290
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• 2019

사람들의 대화에 사용되는 단어는 사전적으로 정의되어 있으나 개인마다 단어의 의미를 다르게 받아들이기도 한다. 단어에는 단순히 사전의 정의만 담겨 있는 것이 아니라 개인의 감정과 삶의 시간 또한 담겨 있기 때문이다. 각기 다른 의미로 단어를 사용함에 따라 야기되는 소통 장애를 해소하기 위하여 본 연구에서는 단어의 일반적 정의뿐 아니라 개개인 각자의 의미를 담을 수 있는 오픈사전 앱을 개발하였다. 일반사전에서는 공공 API를 통해 국립국어원의 우리말샘 사전을 사용하며, 오픈사전에서는 웹서버를 연동하여 MySQL에 사용자가 정의한 단어를 등록한다. 또한 본 앱에서는 해상도별 이미지를 구현하여 다양한 화면에 대응하였다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.1-8
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• 2007

In recent, the issues of sensitivity and psychology of human have received much attention from researchers and practitioners. In this paper. we analyze the information of color and location in order to detect the sensitivity and psychology by means of human vision on color space organization in a presented picture. After this process, we propose a method to determine psychology states through the space organization by using a fuzzy membership function which can be used to analyze direction information for the sensitivity. The proposed method is applied to the psychology states based on the space organization of Alschuler and Hattcick's method and to the space organization of Gunnwald's method. As a result, we present that the proposed method is very similar to a pattern classification of Alschuler and Grunwald.