Past Issues

Recently, a big text data has been produced by users, an opinion mining to analyze information and opinion about users is becoming a hot issue. Of the opinion mining, especially a sentiment analysis is a study for analysing emotions such as a positive, negative, happiness, sadness, and so on analysing personal opinions or emotions for commercial products, social issues and opinions of politician. To analyze the sentiment analysis, previous studies used a mapping method setting up a distribution of emotions using two dimensions composed of a valence and arousal. But previous studies set up a distribution of emotions arbitrarily. In order to solve the problem, we composed a distribution of 12 emotions through carrying out a survey using Korean emotion words list. Also, certain emotional states on two dimension overlapping multiple emotions, we proposed a selection method with Roulette wheel method using a selection probability. The proposed method shows to classify a text into emotion extracting emotion terms from a text.

keyword : 오피니언 마이닝, 정서 분석, 정서 분류, 정서 분포, opinion mining, sentiment analysis, classification of emotion, distribution of emotion

This study aimed to develop a Korean emotion vocabulary list that functions as an important tool in understanding human feelings. In doing so, the focus was on the careful extraction of most widely used feeling words, as well as categorization into groups of emotion(s) in relation to its meaning when used in real life. A total of 12 professionals (including Korean major graduate students) partook in the study. Using the Korean ``word frequency list`` developed by Yonsei University and through various sorting processes, the study condensed the original 64,666 emotion words into a finalized 504 words. In the next step, a total of 80 social work students evaluated and classified each word for its meaning and into any of the following categories that seem most appropriate for inclusion: ``happiness``, ``sadness``, ``fear``, ``anger``, ``disgust``, ``surprise``, ``interest``, ``boredom``, ``pain``, ``neutral``, and ``other``. Findings showed that, of the 504 feeling words, 426 words expressed a single emotion, whereas 72 words reflected two emotions (i.e., same word indicating two distinct emotions), and 6 words showing three emotions. Of the 426 words that represent a single emotion, ``sadness`` was predominant, followed by ``anger`` and ``happiness``. Amongst 72 words that showed two emotions were mostly a combination of ``anger`` and ``disgust``, followed by ``sadness`` and ``fear``, and ``happiness`` and ``interest``. The significance of the study is on the development of a most adaptive list of Korean feeling words that can be meticulously combined with other emotion signals such as facial expression in optimizing emotion recognition research, particularly in the Human-Computer Interface (HCI) area. The identification of feeling words that connote more than one emotion is also noteworthy.

keyword : 감정표현어휘, 어휘추출, 감정가, 개별감정, 감정인식, emotion vocabulary, word extraction, valence, discrete emotion, emotion recognition

Recently, interest in emotional technology has escalated and its application has extended to many fields, from both an industrial (product) and service (culture, tourism, medical, education, advertising) perspective. Moreover, culture has become a fundamental aspect of modern industry, playing key roles in: gaming, exhibitions, performances, sports, tourism, design, edutainment, as well as various content distribution industries. The prospect of applying emotional technology for cultural content industries makes up for more than half of the ``plan-manufacture-distribution-marketing`` process, and thereby also serves as driving force for the growth of a nation. The primary objective of the following research is analyze successful cases from the past through utilization of emotional technology, and to speculate on efficient directions for future research into developing emotional contents. To achieve this, some of the key terms have been defined and elaborated for the sake of clarity. The terms are as follows: emotion, emotion engineering, science of emotion, emotional technology, and emotional contents. Furthermore, studies were conducted based on the six different fields surrounding CT R&D to observe how projects involving emotional technology have succeeded both on a national and global scale. Based on this analysis, this research aims to develop personalized ``Concierge`` service-providing contents, contents designed to maximize performance ability of humans, and contents that could be controlled simply via emotion to effectively spread the culture of Korea by focussing on ``fusion`` content development. The following research data may hopefully serve as a basic reference to industries navigating towards emotional content development.

keyword : 감성, 감성공학, 감성과학, 감성기술, 감성콘텐츠, emotion, emotion engineering, science of emotion, emotional technology, emotional contents

We designed a novel individualization process for improving personal emotion recognitions in real time. The designed individualization process was performed by a neutralization algorithm of physiological signals, a subjective emotion reflection of a user updated by personal emotion rules in real time. The physiological signals such as PPG(Photoplethysmography), GSR(Galvanic skin reflex), and SKT(Skin temperature) were measured and analyzed to estimate an emotion states of users. Regulating the emotion status using by emotion rules was performed by reflecting subjective evaluations. The agreement of emotion recognition between of individualization and non-individualization method was estimated by 10 undergraduates (5 females, mean age: 22.1 ± 2.2) of Sangmyung University. During the emotion recognition test, 45 images were randomly presented to each participant five times. In results, the proposed individualization process showed the agreement of 71.67 % which was five times higher than when the process was not applied. Therefore, in this study, we demonstrated that the individualization process was significantly useful for customizing emotion recognitions of personal users in real time. The individualization process will be able to improve satisfactions in various emotion related applications and services in the nearer future.

keyword : 감성인식, 개인화, 일치도, 룰 베이스, emotion recognition, individualization, agreement, rulebase

This study investigated the structural coloration and fabric hand of the caustic reduced fabrics for emotional garment using structural color yarns, which was spun by 37 alternating nylon and polyester layers capable of producing basic colors using biomimetic technology. The colorations of the three kinds of structural color yarns were confirmed using multi angle spectro-photometer, and their triangular cross sections composed with 37 alternating nylon and polyester layers were measured using SEM and were discussed with layer length in relation with coloration and spinning conditions were also set up. The apparent color difference and reflectance of the three kinds of fabrics with different density and weave pattern were analysed as ranging from 400nm to 700nm. The optimum fabric structural design which is made by warp and weft densities(194ends/in × 105picks/in) and caustic reduction condition by 100℃ temperature and 60minutes with NaOH, 20g/l solution were decided through analysis of the mechanical properties and fabric hands of these three kinds of fabrics treated with 3 kinds of the caustic reduction conditions. And it was shown that the rate of caustic reduction was increased from 13% to 23% with increasing temperature and time of caustic reduction. The extensibility, bending rigidity and shear modulus of caustic reduction treated fabrics were decreased by treatment of caustic reduction, on the other hand fabric compressibility was increased. And it was shown that the hand value of specimen number one which was treated with temperature 100℃ and time 60minute was the best and the hand of this fabric was better than that of Morpho fabric(R) made by Teijin co. Japan.

keyword : 생체모방, 구조발색사, 색차, 반사율, KES-FB, Biomimetics, Structural color, K, S, reflectance, KES-FB

The relative effects of individual differences in cultural orientation (individualism vs. collectivism) and locus of control (LOC: internal vs. external control beliefs) combination types on global/local processing were compared by manipulating the compound stimulus types (arrows or letters), and the stimulus-stimulus congruence. The results can be summarized as followings. First, consistent with previous research on global/local processing of the compound stimuli, reaction time (RT) for global stimuli than for local stimuli, and that in the stimulus-stimulus congruent condition than in the stimulus-stimulus incongruent condition was faster. Second, faster RT was found in the compound arrows condition than in the compound letters. Third, individual difference in LOC, rather than that in the cultural orientations, appeared to be related to global precedence effect, when the compound letters were presented. These results indicated that the individual`s LOC rather than cultural orientation can increase the size of the global precedence effect, which might be involved in the stage of cognitive analysis than that of feature detection.

keyword : 개인주의-집단주의, 내외 통제소재, 자극-자극 속성 일치 여부, 전역, 국소 처리, individualism-collectivism, Locus of control, stimulus-stimulus congruence, global, Local processing