• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.813-825
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• 2023

This study was analyzed using a mixed methods approach to clarify the concept of compassionate communication competencies of psychiatric nurses. In the theoretical phase, the literature published from 2000 to 2022 was collected and 38 articles were analyzed. For the fieldwork phase, in-depth interviews were conducted with eight psychiatric nurses from December 1 to December 28, 2022. In the final analysis phase, the dimensions and attributes of psychiatric nurses' compassionate communication competence were identified and conceptualized. Based on the attributes identified in the theoretical and fieldwork phases, the definition of psychiatric nurses' compassionate communication competence was synthesized into five dimensions and 12 attributes. Therefore, psychiatric nurses' compassionate communication competence refers to the skills and abilities of psychiatric nurses to use active listening and empathic skills for effective communication based on compassion and understanding of the target, to be sensitive to the thoughts and feelings of the target, to accurately convey what the target wants to express, to respect the target, and to empower the target.

• Journal of the Korean Society of Food Culture
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• v.32 no.2
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• pp.111-117
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• 2017

The purpose of this study was to investigate the effects of emotional-utilitarian motivation on coffee shop selection attribution. Based on a total of 276 samples obtained from empirical research, the results of the survey were analyzed by using SPSS 22.0. The results of this study were as follows. Firstly, the results of exploratory factor analysis of coffee shop selection attribution emphasized service, coffee quality, diversity of menu, atmosphere, convenience, and price. Secondly, the customers showed higher emotional motivation than utilitarian motivation. Thirdly, emotional motivation had a significant effect on perception of 'service', 'coffee quality', and 'atmosphere'. On the other hand, utilitarian motivation had a significant effect on 'service', 'diversity of menu', 'convenience', and 'price'.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.1-18
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• 2022

As digital technology converges into the e-commerce market across industries, online transactions have activated, and the use of online has increased. With the recent spread of infectious diseases such as COVID-19, this market flow is accelerating, and various product information can be provided to customers online. Providing a variety of information provides customers with various opportunities but causes difficulties in decision-making. The recommendation system can help customers to make a decision more effectively. However, the previous research on recommendation systems is limited to only quantitative data and does not reflect detailed factors of products and customers. In this study, we propose an intelligent recommendation system that quantifies the attributes of products and customers by applying text mining techniques to qualitative data based on online reviews and integrates the existing objective indicators of total star rating, sentiment, and emotion. The proposed integrated recommendation model showed superior performance to the overall rating-oriented recommendation model. It expects the new business value to be created through the recommendation result reflecting detailed factors of products and customers.

• Journal of Music and Human Behavior
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• v.13 no.2
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• pp.67-83
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• 2016

This study investigated the tonal characteristics in Korean emotion words by analyzing the pitch patterns transformed from word utterance. Participants were 30 women, ages 19-23. Each participant was instructed to talk about their emotional experiences using 4-syllable target words. A total of 180 utterances were analyzed in terms of the frequency of each syllable using the Praat. The data were transformed into meantones based on the semi-tone scale. When emotion words were used in the middle of a sentence, the pitch pattern was transformed to A3-A3-G3-G3 for '즐거워서(joyful)', C4-D4-B3-A3 for '행복해서(happy)', G3-A3-G3-G3 for '억울해서(resentful)', A3-A3-G3-A3 for '불안해서(anxious)', and C4-C4-A3-G3 for '침울해서(frustrated)'. When the emotion words were used at the end of a sentence, the pitch pattern was transformed to G4-G4-F4-F4 for '즐거워요(joyful)', D4-D4-A3-G3 for '행복해요(happy)', G3-G3-G3-A3 and F3-G3-E3-D3 for '억울해요(resentful)', A3-G3-F3-F3 for '불안해요(anxious)', and A3-A3-F3-F3 for '침울해요(frustrated)'. These results indicate the differences in pitch patterns depending on the conveyed emotions and the position of words in a sentence. This study presents the baseline data on the tonal characteristics of emotion words, thereby suggesting how pitch patterns could be utilized when creating a melody during songwriting for emotional expression.

• Journal of Korea Port Economic Association
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• v.28 no.3
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• pp.193-214
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• 2012

The interest on cruise service has been increased due to the economic development and income growth all over the world during last several decades. However, cruise industry in Korea is located in the initiating stage and the service is just focused on costal cruise service. This study investigates relationship between influencing factors of the selection attributes of cruise service on tourism satisfaction and behavioral intention. Additionally, the study aims to provide information to establish customer-oriented marketing strategies for cruise tour service. Literature review is conducted to find out the factors in order to meet the future users preference and expectations. The data was collected on-board customers of "One Night Cruise" on Panstar Line. The result of the study shows that a certain number of factors are statistically significant on the cruise tour intention of potential customers. It shows that there is significant difference related to the using purpose and the usage attitude. Managers in the cruise company are able to utilize the practical implications of the present study when the cruise service launches in Korea. This study exists limitations that samples are not sufficient and the research can not be generalized due to the inadequate samples of target company.

• Proceedings of the Korea Society of Mathematical Education Conference
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• 2010.04a
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• pp.219-219
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• 2010

교육학의 질적 연구는 문헌 연구, 면담 연구, 비참여 관찰 연구, 참여 관찰 연구로 분류한다. 문헌연구에는 내용분석, 철학적 연구, 역사학적 연구, 문학적 비평이 들어가고, 면담연구에는 구술사, 전기, 탐문(探問) 저널리즘 등이 포함되고, 비참여 관찰연구에는 전문적 감정(鑑定), 인간의 종적 특성 연구, 관찰자 연구, 비개입적 행동 연구 등이 포함된다. 마지막으로 참여 관찰연구는 일반적 현장연구, 문화 기술적 연구가 포함된다. 질적 연구는 사람, 사물, 현상의 범주화나 수량화가 가해지기 이전의 상태, 즉 '있는 그대로'의 상태에 최대한 접근하는 방법으로써, 고정관념을 깨고 기존의 이론을 최대한 유보한 채 연구에 임하는 것으로 최근에 발달한 인문사회과학적 연구방법이다. 질적 인식이 자연언어에 주로 의존하는 데 비해 양적 인식은 인공언어에 많이 의존한다. 수식과 도형, 부호등은 대표적인 인공언어이다. 모든 사물이 질과 양의 속성을 다 가지고 있듯이 모든 연구는 질적 과정과 양적 과정을 다 포함하고 있다. 질적이냐, 양적이냐 하는 구분은 연구방법론의 문제인데 연구방법론은 연구논리와 연구기법을 포함한다. 본 연구는 인공언어인 수와 식에만 익숙한 수학교육에서, 질적 연구가 왜 필요한지, 어떤 특성이 있는지 논의함으로써 수학교육의 새로운 방법론을 제시하고자 한다.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.277-287
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• 2022

Recent trends in sharing online video contents show that vlogging on everyday life can cause meaningful changes in viewers' perception of mediated characters and their own lifestyles. We explored that flourishing everyday life video contents online are intertwined with viewers' psychological engagement such as empathy and social presence, let alone self-enhancing motivations such as self-reflection and psychological empowerment. Survey analysis results suggest that between contents types of vlog (everyday life vs. in-depth information), watching in-depth information videos significantly affected viewers' psychological engagement and self-enhancing motivations. Compared to celebrity's online videos, daily videos starring laypeople showed significantly positive impacts on viewers' engagement such as empathy, social presence, and self-enhancement such as self-reflection, psychological empowerment.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.295-301
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• 1999

본 연구에서는 특정 대상에 대한 사람들의 심리적인 색채반응을 측정할 수 있는 색채감성척도(PCS)를 개발하고 이것을 색채 감성 이미지의 평가에 어떻게 이용하는가를 보여주고자 한다. 색채심리에 기초한 색채감성척도(PCS)는 NCS와 ISCC-NBS 색명법에 의거한 색상과 톤의 개념으로 구성되었으며 기본형과 상세형의 두 가지가 개발 되었다. 표준화된 색채감성척도는 각 사람들마다 다르게 나타나는 색에 관한 이미지나 색에 대한 심리적인 선호반응을 객관적으로 측정할 수 있는 척도로 활용될 수 있다. 본 연구에서는 선호색, 선호의상색, 선호 화장품 색을 나타내는데 PCS가 어떻게 활용되는가를 보여주었다. PCS를 이용한 색채 감성 이미지는 Color Image Palette를 이용하여 각각의 특성을 비교할 수 있도록 제시되기도 하였다. 색채 경험에 대한 광학적이거나 물리적인 속성이 아닌 심리적인 특성을 평가하고 서로 다른 집단의 반응을 비교 평가하는데 PCS와 유용한 도구가 될 것이다.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.605-616
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• 2022

Given that the current Idol fandom has been enormously affected by the development of digital technology such as the Internet, mobile or social media, this study explored how generational fandom culture has been shifted depending on the fandom's use of differential online platforms and services, i.e., online community vs. social network services. The survey results indicate that 3^rd generation fandom showed significantly greater intimacy, greater attachment/worship, greater similarity toward Idol stars as well as greater fandom loyalty and greater fandom identity than 1^st and 2^nd generation fandom. Similarly, compared to online community centered fandom, social network centered fandom showed greater intimacy, greater attachment/worship, greater similarity as well as greater fandom loyalty and identity than community-centered fandom.

• Information Systems Review
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• v.24 no.1
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• pp.1-19
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• 2022

Social media-based communication has become crucial part of our personal and official lives. Therefore, it is no surprise that social media sentiment analysis has emerged an important way of detecting potential customers' sentiment trends for all kinds of companies. However, social media sentiment analysis suffers from huge number of sentiment features obtained in the process of conducting the sentiment analysis. In this sense, this study proposes a novel method by using Bayesian Network. In this model MBFS (Markov Blanket-based Feature Selection) is used to reduce the number of sentiment features. To show the validity of our proposed model, we utilized online review data from Yelp, a famous social media about restaurant, bars, beauty salons evaluation and recommendation. We used a number of benchmarking feature selection methods like correlation-based feature selection, information gain, and gain ratio. A number of machine learning classifiers were also used for our validation tasks, like TAN, NBN, Sons & Spouses BN (Bayesian Network), Augmented Markov Blanket. Furthermore, we conducted Bayesian Network-based what-if analysis to see how the knowledge map between target node and related explanatory nodes could yield meaningful glimpse into what is going on in sentiments underlying the target dataset.