• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.188-196
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• 2010

This study aims at empiricallly designing method to increase player's play capability through determining of the relations of player's behavior pattern and emotion factors when having gameplay experiences in MMORPG. For modeling emotion factors on gameplay, Our preliminary studies are considered in the process of rule-based systems on cognitive science approach. These study estabilished game architecture process applied of player's cognitieve emotion reactions in specific situation of role playing games that have most noticeable interaction with players based on quest system. This approach is expected to extend instant responses, which can be controlled behind all of anti-main behavior pattern and main behavior pattern in game playing. Therefore, such study is meaningful that is proposed the analysis framework of player's emotion factors to design game playing capability in game interactions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3992-3998
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• 2013

This paper is related to the method of adding a emotional speech corpus to a high-quality large corpus based speech synthesizer, and generating various synthesized speech. We made the emotional speech corpus as a form which can be used in waveform concatenated speech synthesizer, and have implemented the speech synthesizer that can be generated various synthesized speech through the same synthetic unit selection process of normal speech synthesizer. We used a markup language for emotional input text. Emotional speech is generated when the input text is matched as much as the length of intonation phrase in emotional speech corpus, but in the other case normal speech is generated. The BIs(Break Index) of emotional speech is more irregular than normal speech. Therefore, it becomes difficult to use the BIs generated in a synthesizer as it is. In order to solve this problem we applied the Variable Break[3] modeling. We used the Japanese speech synthesizer for experiment. As a result we obtained the natural emotional synthesized speech using the break prediction module for normal speech synthesize.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.1-9
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• 2009

In virtual environments, such as computer game and animation, we need to enhance naturalness of crowd simulation. So, we propose a method to generate dynamically moving crowd patterns by applying emotional factors to the individual characters of a crowd in the determination of their behavior. The proposed method mimics human behavior and controls each character in a group to decide its own path according to its individual status. And it is able to generate various moving patterns as a result of letting the individuals go to another group depending upon their conditions. In this paper, some temperament and feeling factors are defined and determination rules for calculating the emotional status are also proposed. Moreover we use a fuzzy theory for accurate representation of the ambiguous expressions such as feeling bad, feeling good and so on. Our experiments show that the suggested method can simulate virtual crowd in more natural and diverse ways.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.427-439
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• 2014

This study analyzed the effects of job stress, job burnout, and social support on turnover intention for beauty salon workers in Busan. First, the younger, the higher levels of emotional labor; the younger, the lower education levels, the shorter career, and the lower position, the higher job stress and the higher job burnout; and the younger, the lower education levels, and the fewer days off, the higher turnover intention. Second, directors, designers and the staff had emotional labor, job stress, job burnout, and social support associated with turnover intention. Third, owners and designers had their turnover intention in general affected by emotional control, role stress, supervisor support, and colleague support and had their workplace-related turnover intention affected by emotional control, role stress, colleague support, and depersonalization, while the staff had their turnover intention in general and workplace-related turnover intention affected by supervisor support, colleague support, and depersonalization and had their job-related turnover intention affected by supervisor support.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.411-416
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• 2008

The development of games has brought about the birth of game characters that are visually very realistic. At present, one sees much enthusiasm for giving the characters emotions through such devices as avatars and emoticons. However, in a freely changing environment of games, the devices merely allow for the expression of the value derived from a first input rather than creating expressions of emotion that actively respond to their surroundings. As such, there are as of yet no displays of deep emotions among game characters. In light of this, the present article proposes the 'CROSS(Character Reaction on Specific Situation) Model AE Engine' for game characters in order to develop characters that will actively express action and emotion within the environment of the changing face of games. This is accomplished by classifying the emotional components applicable to game characters based on the OCC model, which is one of the most well known cognitive psychological models. Then, the situation of game playing analysis of the commercialized RPG game is systematized by ontology.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.25-31
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• 2018

Online news has replaced the traditional newspaper and has brought about a profound transformation in the way we access and share information. News websites have had the ability for users to post comments for quite some time, and some have also begun to crowdsource reactions to news articles. The field of sentiment analysis seeks to computationally model the emotions and reactions experienced when presented with text. In this work, we analyze more than 100,000 news articles over ten categories with five user-generated emotional annotations to determine whether or not these reactions have a mathematical correlation to the news body text and propose a simple sentiment analysis algorithm that requires minimal preprocessing and no machine learning. We show that it is effective even for a morphologically complex language like Korean.

• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.147-154
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• 2018

The purpose of this study is to clarify the structure of healing coded through transcriptional activity in the poem of Cho Ji-Hoon in the aspect of literary therapy. In particular, the search for how the codes of emotion are activated through neurophysiologic synapse. The variation of emotional codes developed in Cho Ji-Hoon's poem is in line with the encoding of literary therapy. Emotions emanating from poetic statements stimulate the transition of new emotions and activate emotions of healing. Cho Ji-Hoon's poem fuses emotions through the floods of various poetic transitions. It is then forming an overall healing forest. The healing content is discussed by the structure of transition, and all the structures are linked to the contents of healing. It is a greater part of sad lyricism by the action of descent and ascension, and green aesthetics of the leaves. In the future, if Cho Ji-Hoon's research on poetry is activated, we will be able to meet genuine stories about his natural and literary healing life.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.471-478
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• 2012

Various studies on sentiment classification of documents have been performed. Recently, they have been applied to twitter sentiment classification. However, they did not show good performances because they did not consider the characteristics of tweets such as tweet structure, emoticons, spelling errors, and newly-coined words. In this paper, we perform experiments on various input features (emoticon polarity, retweet polarity, author polarity, and replacement words) which affect twitter sentiment classification model based on machine-learning techniques. In the experiments with a sentiment classification model based on a support vector machine, we found that the emoticon polarity features and the author polarity features can contribute to improve the performance of a twitter sentiment classification model. Then, we found that the retweet polarity features and the replacement words features do not affect the performance of a twitter sentiment classification model contrary to our expectations.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.255-269
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• 2014

This study confirmed structural causal relations among concepts such as characteristics of service-offer, satisfaction, trust, affective commitment, and loyalty and surveyed mediating roles of affective commitment. The results are as follows. First, Customized service and service reliability influenced satisfaction while service competency did not. Service reliability affected trust while customized service and service competency did not. Second, satisfaction influenced trust and affective commitment but not loyalty while trust affected affective commitment and loyalty. Third, affective commitment influenced loyalty through the mediating role. The results mean that the seller-buyer relationship is a dynamic relationship. Finally, we discussed the role of affective commitment and the strategies of affective commitment development, and suggested future studies.

• Journal of dental hygiene science
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• v.13 no.1
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• pp.71-76
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• 2013

The purpose of this study was to examine the relationship of service education to the emotional labor of dental hygienists and influential factors for their job burnout. The subjects in this study were 155 dental hygienists, on whom a survey was conducted. The findings of the study were as follows: The respondents who ever received service education and were satisfied with that education were better at emotional regulation. After job burnout was classified into physical symptoms and psychological symptoms, a multiple regression analysis was carried out to explore what variables would affect the two subfactors. And it's found that psychological symptoms were positively affected by emotional dissonance. The above-mentioned findings illustrated that service education had something to do with the emotional labor of the dental hygienists, and that the emotional labor of the dental hygienists had an impact on their job burnout.