• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.2
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• pp.226-241
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• 2010

This study details the history and characteristics of consumption values, text style analyses, and appeal types expressed in magazine commercials from 1955 to 2008. This study analyzes the level of the social structure of commercial expression for each period. Consumption values based on the categories of consumption values by Sheth (1991) were classified through a total commercials analysis. Analyses on closing types of sentences, types of sentences, and rhetorical figures were executed focusing on headline text and text style. Appealing types were composed of rational, emotional, and ethical appeals. For analysis, the crosstab analysis and chi-square test of SPSS are used. The results are as follow. Seven values were constructed, functional value, social value, emotional value, conditional value, epistemic value, fashionable value, and indistinct value. The ratio of emotional value was the highest and functional value, epistemic value conditional value, fashionable value, social value, and indistinct value followed. The emotional value social value, conditional value, fashionable value, and epistemic value that focused on the emotion of consumers increased, while the functional value decreased. Sentences that use narrative styles, hyperboles, and metaphors that increased the interest of readers were dominantly used in the headline texts. For sentence expression, a declarative sentence in a sentence type, exciting curiosity in the expression method where hyperbole and figures of speech in rhetorical expressions are used most often. Emotional appeal was used almost twice more than the reasonable appeal for appeal types of the total commercial. The lower level of reasonable appeal is information that provides the product function. Interest and expression (such as pleasure and achievement) were used most often for emotional appeal. These results show that the most important issue is the emotional value in consumption in understanding the consumer. Marketing managers should also be aware of the functional value as well as an emotional value.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.32 no.1
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• pp.32-41
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• 2019

Objective : The purpose of this study is to develop a personal health record(PHR) application of atopic dermatitis in Korean Medicine(KM). Methods : We have identified the items necessary to provide an PHR application that helps to record and manage the symptoms of an atopic dermatitis in KM. We also derived the symptom collection process and method and applied it to the application. Results : In this study, the types of symptoms collected for atopic dermatitis were derived. Symptoms include daily check, stool/urine/sleep, daily emotion, meal management, symptom photographs, SCORAD, quality of life, progress check, original symptom, pediatric health check, weakness check, and subjective symptoms. The recording cycle can be divided into the first, daily, weekly, specific day, and subjective. We developed the PHR application of atopic dermatitis in KM by deriving the type of symptoms and symptom recording process. The app organized menus into dashboards, checklists, daily checks, and health records. Conclusions : We developed a PHR application for atopic dermatitis by deriving symptom collection items of atopic dermatitis and developing symptom collection process and collection technique. The app does not make an accurate diagnosis of atopic dermatitis symptoms, but it helps facilitate symptom collection and helps to identify or predict a person's health condition. It can also be used for medical treatment through sharing symptoms with Korean medicine. Patients are able to communicate in both directions on a daily, weekly, self-aware basis, at the request of a doctor, to record their symptoms and use them for medical purposes. If the doctor asks for a progress check to refer to the next examination, it can be written through the system. This manages atopic dermatitis in daily life and can be used in the clinical field.

• 한국노년학
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• v.37 no.3
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• pp.707-726
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• 2017

Korea is proceeding to aging society at much faster pace than other countries. To alleviate various problems (health, environment, social relationships, psychology and emotion, and financial problems) of the elderly caused by aging society, there has been increasing attention to social capital. This study investigated types of ways that the elderly at individual level are aware of social capital and the characteristic. In addition, factors that influence the types were studied. Data from 1060 elderly with the age of 65 and older were collected in Korea. Excluding missing data on variables used in the study, data of 960 elderly were used for analyses. K-mean cluster analysis was conducted to investigate types of elderly awareness on social capital at individual level. Multinominal logistic regression was used to find out factors of the types. K-mean cluster analysis resulted in three types of awareness on social capital among the elderly: (1) potential of social capital; (2) severance of social capital; and (3) wealth of social capital. Multinominal logistic regression resulted in that compared to potential of social capital type, when the elderly were younger, inclination of politics was more progressive, they did not have religion, they did not reside in rural, and they did not live in multiplex housing, the elderly were more likely to be in severance of social capital type. Also, when the elderly were women, had higher education and standard of living, were Christian, and did not reside in rural regions. they tended to be in wealth of social capital type. Based on the study results about awareness on social capital among the elderly and factors related to the awareness types, practical and political suggestions that promote social capital to solve problems of the elderly were provided.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.193-203
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• 2019

The study participants are nurses who work at three general hospitals in M City, who used structured questionnaires to list 214 people from July 17 to August 7, 2017. Analysis of the collected data was carried out using SPSS WIN 21.0. and M plus 7.00 to analyze latent classes depending on the type of nursing managers' leadership. This study showed that the type of nursing managers' leadership has in analyzing latent classes influences nurses' job performance and turnover intention. Because there is a strong influence on the job performance and the turnover intention so that nurses can be highly aware of transformation-transaction-emotion leadership, the managers of the nursing organization need to foster effective leadership. Training programs are needed to improve nurses' job performance through transformational, transactional, and emotional leadership, and to foster nursing manager's leadership skills to better reflect the turnover intention.

• (The)Study of the Eastern Classic
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• no.59
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• pp.9-32
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• 2015

The purpose of this paper is to study the development process of our native verses from the Three Kingdoms Period to the Goryeo Dynasty. The contents of the discussion can be summarized as follows. Typical form of "Sanega" from the Three Kingdoms Period to the late Silla/ early Goryeo Dynasty is a well organized 3-layered structure representing the contents of enlightenment of a high priest. Sanaega has a poetic style characterized by distinct literary features compared to other native verses in the same era. The reason is that 10-line Hyangga improves its poetic level as it is aware of Chinese poetry. As it enters the Goryeo Dynasty, this literary composition starts to change. In other words, Sanega declines and quatrain emerges in the front of literary history. Unlike the Three Kingdoms Period ~ the late Silla/ early Goryeo Dynasty, development of quatrain results from that native verses enhances the characteristics of song rather than poem in the Goryeo Dynasty. Native verses form the mutually complementary relationship by adjusting the position as the song rather than competing with it as the poem as Chinese poetry becomes more common. In the Goryeo Dynasty, Sanaega declines and Sijo emerges in literary history, because native verses have been developed in the poetic form to freely express general emotion and to be more loved from the public. It is in the same vein as a native verse in the form of quatrain raises its vitality by enhancing the characteristics of the song through the adjustment of its position compared to Chinese poetry.

• (The)Study of the Eastern Classic
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• no.41
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• pp.121-148
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• 2010

The aim of this paper is to look into the characteristics and its value of Jo Uin(曺友仁)'s Jadosa(自悼詞). I compared Jadosa with other Yeongungasa(戀君歌辭) works for this purposes in the sides of aspect of Yeongunuisik(戀君意識) and emotionalism. Therefore Jadosa is equipped with space setting called the heavenly world and the earthly world, and has characteristics that a speaker of the earthly world misses a lover of the heavenly world. Also, Jadosa is similar to Samiingok(思美人曲) and Sokmiingok(續美人曲) of Jeong Cheol(鄭澈) because the former borrowed a few phrases and motifs from the latter. However, if I look into Jadosa in greater detail in the sides of emotion or attitude of a speaker, the speaker of Jadosa shows a reproachful attitude Unlike works of Jeong Cheol. And the speaker of Jadosa urges the lover to be aware of his illusion. Finally these differences occur as a political standing and a relation with the king is different in every writer. Accordingly This paper is very worthwhile through comparison of Jadosa and other Yeongungasa works given that I reviewed characteristics and a meaning of Jadosa.

• Journal of Korean Elementary Science Education
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• v.42 no.4
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• pp.591-604
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• 2023

This study investigated the impact of elementary science classes using metaverse on the academic achievement, positive experience in science, and digital literacy of elementary school students. In addition, we examined their perceptions. The respondents were derived from two classes in the sixth grade at an elementary school in Gyeonggi-do, who were selected designated as the experimental (n=29 students) and comparative (n=29) groups, respectively. Across five lessons under the "Plant Structure and Function" unit, the experimental group conducted science classes using the metaverse, whereas the comparative group conducted general textbook-based classes. To investigate instructional effects, the study performed ANCOVA using the pre-test score as a covariate, a survey on the perception of students about science classes using metaverse, and conducted interviews with a number of subjects. The result demonstrated that science classes using metaverse exerted no significant effect on scientific academic achievement and digital literacy. However, the study observed a statistically significant effect on science learning emotion which is a sub-element of positive experiences in science. The students were positively aware of science classes using metaverse in terms of interesting and diverse activities, and free expression of inquiry results and perceived the instability of smart devices and network connections as regrettable. Finally, the study posed the implications of the use of metaverse in science classes.

• Journal of the Korean Applied Science and Technology
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• v.35 no.4
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• pp.1120-1133
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• 2018

The purpose of this study is to validate the failure attribution factors affecting emotional changes after a failed service by local restaurant users, and the relapse effects of the perceived failure of a customer's brand relationship. In this study, the implications of this study can be divided into the null theory and the homogenous theory, in which the study of the relationship between individual belief that influences the null theory and the post-gender emotional response is minimal. The independence of the crash response (angerous VS compassion) has been equally validated as building a belief-gathering-emotion three-step model. First, emotional BRQ (intimate and love) has a reduction effect on controllable geeks, and behavioral BRQ (relative existence) has an extended effect on controllable geeks. From a management perspective, restaurant managers should be less aware of the repeatability of a customer's service failure and call for customer sympathy. Integratedly, restaurant managers must control the customer's perception of service failure and restore the impact of the customer's BRQ on emotional reactions. A variety of service recovery measures should be established and the cerumen should be controlled. In addition, since BRQs have different effects on anger and sympathy (extended VS), different service failure recovery plans should be presented depending on the characteristics of the customer BRQ. For example, measures such as monetary compensation or fair dealing, emotional distribution to close and loving customers, and persuasion of reciprocal benefits to interdependent customers should be developed according to circumstances. This study explored the effectiveness of the geeks after a service failure and has limitations that do not take into account the various regulatory factors in the BRQ-return-Empression process. Thus, in further studies, the effects of adjusting service failure strength should be considered and a more complete model should be built.

• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.311-324
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• 2022

This study analyzed the types of scientific emoticons made by science-gifted elementary school students and their perceptions on making scientific emoticons. To do this, 71 students from 4th to 6th graders of two gifted science education center in Seoul were selected. Scientific emoticons made by the students were analyzed according to the number and types. Their perceptions on making scientific emoticons were also analyzed through a questionnaire and group interviews. In the analyses for types of text in the scientific emoticons, 'word type' and 'sentence type' were made more than 'question and answer type'. And the majority of students made more 'pun using pronunciation type' and 'mixed type' than other types. They also made more 'graphic type' and 'animation type' than 'text type' in the images of the scientific emoticons. In the analyses for the information of the scientific emoticons, 'positive emotion type' and 'negative emotion type' of scientific emoticons were made evenly. The students made more 'new creation type' than 'partial correction type' and 'entire reconstruction type'. They also used scientific knowledge that preceded the knowledge of science curriculum in their grade level. The scientific knowledge of chemistry was used more than physics, biology, earth science, and combination field. 'Name utilization type' was more than 'characteristic utilization type' and 'principle utilization type'. Students had various positive perceptions in making scientific emoticons such as 'increase of scientific knowledge', 'increase of various higher-order thinking abilities', 'ease of explanation, use, memory, and understanding of scientific knowledge', 'increase of fun, enjoyment, and interest about science and science learning', and 'increase of opportunity to express emotions'. They were also aware of some limitations related to 'difficulties in the process of making scientific emoticons', 'lack of time', and 'limit that it may end just for fun'. Educational implications of these findings are discussed.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.