• Journal of Korea Game Society
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• v.12 no.6
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• pp.131-144
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• 2012

To affect users' attitudes on social issues, some serious games use narrative which can be an effective tool to provoke users' emotions. In this paper, focus group interview on the experiences about playing was conducted to figure out if the parts of narratives containing educational goals can actually provoke certain emotions or not. From the interview, words having emotional meaning were extracted and matched with Korean Emotion Terms Database. Then the emotion terms were compared with Russell's schematic map of core affect and were categorized. The result showed that users mostly felt unpleasant emotions during the play. The unpleasant emotions helped to achieve the game's goal which is conveying the tragedy of war.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.761-770
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• 2012

The purposes of the study is builded upon previous researches to investigate the relationship among store's physical environment, customers' emotional responses and behavior intention. For achieving study purposes, research model and hypotheses were set up after reviewing previous researches. The data were collected from a sample of 659 consumers of korea and china department stores, then used to conduct an empirical analysis. The results showed: First, the significant relationship were partially found among store's physical environment, emotional responses and behavior intention, design factor, social factor of store' physical environment both influence shoppers' positive emotions, indirectly influence shoppers' behavior intention through positive emotions, and social factor influence shoppers' negative emotions, indirectly influence shoppers' behavior intention through negative emotions. Second, the results also showed that they are different between korea and the china customer. Therefor, this study has provided a variety of theoretical and practical implications for global retailers to set up marketing strategies.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.143-154
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• 2016

This study was designed to construct and test structural equation modeling on nurses' emotional labor including antecedents and consequences based on the model of Morris and Feldman (1997). A total of 247 nurses working at secondary and tertiary hospitals in three provinces responded the questionnaires. Emotional labor was measured by frequency of emotional labor, attentiveness of required display rules and emotional dissonance. Routineness of job, job autotomy and organizational support were measured as antecedents; and emotional exhaustion, job satisfaction and organizational commitment were included as the consequences of nurses' emotional labor. Data were analyzed by SPSS 21.0 and AMOS 21.0. The model fitness indices for the hypothetical model showed NFI=.94, CFI=.97, and RMSEA=.07. Job autonomy and perceived organizational support had significant effects on emotional labor. The emotional labor influenced positively emotional exhaustion and negatively job satisfaction and organizational commitment. Nurses' emotional labor mediates between job characteristics and nurses' psychologic results indicating more autonomy and support can reduce nurses' emotional labor and then increase their satisfaction and organizational commitment, and decrease emotional exhaustion.

• Korean Business Review
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• v.13
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• pp.67-87
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• 2000

There has been remarkable growth in the study of the role played by affect in advertising in the past 16 year. The research of the role in advertising has studied in different perspectives, provide guidelines for practicers. But the evidence of these research have limits to service advertising creative strategy, because of no integrated framework. The goal is to provide broad assessment and insight of the role played by affect in advertising from academic literature. This article are discussed the concept relating affect, the type of advertising appeal, affect and context effects, affect and individual different in reponses, affect and attitude toward the ad in advertising. Finally, from a critical analysis of state knowledge, this article suggested 5 directions for future research in the recommended areas.

• Management & Information Systems Review
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• v.35 no.1
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• pp.235-251
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• 2016

The main purposes of this study is to examine the effect of treatment setting on patient participation, and the moderating effect of negative emotion between treatment setting and patient participation. For the purposes of this study's goals, the 320 samples for this empirical study were collected from the general hospital and medical clinic outpatients in C and carried out hierarchial regression by SPSS 19.0. The results of this study are as follows. There is positive effect of cleanness of the treatment setting on behavior factor in patient participation. The higher aging of patient have influences on emotional factor in patient participation. There are positive effects of the third person in treatment settings on emotional and informational factors in patient participation. There is negative effect of negative emotion on emotional and informational factors in patient participation. There are negative effects of time pressure in treatment settings on emotional and informational factors in Patient Participation. On interaction effect, there are positive effects of cleanness in treatment setting and negative emotion on emotional and informational factors in patient participation. Implications for theoretical and practical patient participation are discussed.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.4
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• pp.89-102
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• 2015

The purpose of this paper is to attempt to investigate how emotional labor strategies (i.e. surface acting and deep acting) affect job performance and turnover intention thorough emotional exhaustion. Another important objective of this study was to see whether perceived organizational support (POS) moderates the relationship between emotional labor strategies and emotional exhaustion. Structural equation modeling analysis provided support for the hypotheses from a sample of 225 China department store sales employees. The results revealed that surface acting has a positive influence on emotional exhaustion, whereas deep acting has not significant influence on emotional exhaustion. Second, emotional exhaustion has a negative influence on job performance, whereas it has a positive influence on turnover intention. In addition, the relationship between surface acting and job performance/turnover intention was significantly mediated by emotional exhaustion. Furthermore, perceived organizational supporting mitigated the negative relationship between deep acting and emotional exhaustion. The findings of this study contributed to the literature by identifying the relationship between surface and deep acting on employee outcomes (i.e. emotional exhaustion, job performance, turnover intention), especially in China. In addition, this study also confirmed the important buffering role of POS based on the norm of reciprocity between an organization and its members.

• Smart Media Journal
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• v.10 no.4
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• pp.21-27
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• 2021

Recently, the importance of counseling is increasing due to the Corona Blue caused by COVID-19. Also, with the increase of non-face-to-face services, researches on chatbots that have changed the counseling media are being actively conducted. In non-face-to-face counseling through chatbot, it is most important to accurately understand the client's emotions. However, since there is a limit to recognizing emotions only in sentences written by the client, it is necessary to recognize the dimensional emotions embedded in the sentences for more accurate emotion recognition. Therefore, in this paper, the vector and sentence VAD (Valence, Arousal, Dominance) generated by learning the Word2Vec model after correcting the original data according to the characteristics of the data are learned using a deep learning algorithm to learn the multi-dimensional We propose an emotion recognition model. As a result of comparing three deep learning models as a method to verify the usefulness of the proposed model, R-squared showed the best performance with 0.8484 when the attention model is used.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.371-377
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• 2021

This study tried to analyze the types of sport emotion by sport game characteristics. For that, 7 soccer games and 6 baseball games of Korean team in 2018 Asian Games were selected, and the articles and their replies about those on social network services were collected as study materials. Python was used for the collecting and expert group meeting was held for the emotion analysis. As the results of the analysis on sport emotion types by win or lose, the level of opponents and the performance of Korean team as game characteristics, the following conclusions were drawn. First, it was hard to say that win or lose and opponent's level make certain sport emotion type. Second, The performance could made contended, enthusiastic and joyful emotions when judged good, but frustrated, angry, humiliated emotions when bad. Third, social·cultural background or certain event of the games also could effect on the sport emotion types. Follow-up studies with the other game characteristics and more game cases were needed to find out more clear causal relationship.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.940-943
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• 2022

This study aims to analyze the Korean dataset by performing Korean sentence Emotion Analysis in the radio listeners' text messages collected personally. Currently, in Korea, research on the Emotion Analysis of Korean sentences is variously continuing. However, it is difficult to expect high accuracy of Emotion Analysis due to the linguistic characteristics of Korean. In addition, a lot of research has been done on Binary Sentiment Analysis that allows positive/negative classification only, but Multi-class Emotion Analysis that is classified into three or more emotions requires more research. In this regard, it is necessary to consider and analyze the Korean dataset to increase the accuracy of Multi-class Emotion Analysis for Korean. In this paper, we analyzed why Korean Emotion Analysis is difficult in the process of conducting Emotion Analysis through surveys and experiments, proposed a method for creating a dataset that can improve accuracy and can be used as a basis for Emotion Analysis of Korean sentences.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.31-38
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• 2021

In order to analyze the similarity of the source code object material, the source code on both sides must be able to be compiled and executed. In particular, in the case of hardware-integrated software, it is necessary to check whether the hardware interface matches. However, currently, the source code is provided in an incomplete state which is not original of source code used in developing steps. The complainant confirms that the executing characteristics are similar to their own in the expression and function of the output, and request an evaluation. When a source code compilation error occurs during the evaluation process, the experts draw a flowchart of the source code and applies the method of tracing the code flow for each function as indirect method. However, this method is indirect and the subjective judgment is applied, so there is concern about the contention of objectivity in the similarity evaluation result. In this paper, the problems of unverified source code similarity analysis and improvement directions are dealt with, through the analysis cases of source code disputes applied to embedded systems.