• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.51-66
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• 2018

As AI (Artificial Intelligence) technologies have been swiftly evolved, a lot of products and services are under development in various fields for better users' experience. On this technology advance, negative effects of AI technologies also have been discussed actively while there exists positive expectation on them at the same time. For instance, many social issues such as trolley dilemma and system security issues are being debated, whereas autonomous vehicles based on artificial intelligence have had attention in terms of stability increase. Therefore, it needs to check and analyse major social issues on artificial intelligence for their development and societal acceptance. In this paper, multi-categorical sentiment analysis is conducted over online public opinion on artificial intelligence after identifying the trending topics related to artificial intelligence for two years from January 2016 to December 2017, which include the event, match between Lee Sedol and AlphaGo. Using the largest web portal in South Korea, online news, news headlines and news comments were crawled. Considering the importance of trending topics, online public opinion was analysed into seven multiple sentimental categories comprised of anger, dislike, fear, happiness, neutrality, sadness, and surprise by topics, not only two simple positive or negative sentiment. As a result, it was found that the top sentiment is "happiness" in most events and yet sentiments on each keyword are different. In addition, when the research period was divided into four periods, the first half of 2016, the second half of the year, the first half of 2017, and the second half of the year, it is confirmed that the sentiment of 'anger' decreases as goes by time. Based on the results of this analysis, it is possible to grasp various topics and trends currently discussed on artificial intelligence, and it can be used to prepare countermeasures. We hope that we can improve to measure public opinion more precisely in the future by integrating empathy level of news comments.

• Information and Communications Magazine
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• v.33 no.8
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• pp.19-27
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• 2016

최근 들어 로봇 기술은 팔과 다리가 달린 인간형 로봇 휴머노이드(Humanoid)와 같이 겉모습뿐만 아니라 히노애락(喜怒哀樂)과 같은 인간의 감정을 흉내 내는 지능형 감성로봇(Emotional robot)으로 진화하고 있으며, 사물인터넷(Internet of things, IoT), 빅데이터(Big data) 및 인공지능(Artificial intelligence, AI) 기술까지 융합하는 연구가 진행되고 있다. 이러한 기술 발전을 기반으로 로봇산업은 전통적인 제조업뿐만 아니라 의료, 실버, 국방, 건설, 생활가전, 물류, 드론 등 다양한 분야에서 활용이 가능하며, 또한 교육, 문화, 예술에도 접목을 할 수 있어 넓은 분야에서 발전 가능성이 매우 큰 산업이다. 본 논문에서는 인간과 교감하는 감성로봇의 개념과 주요 기술을 소개한다. 아울러, 최근까지 연구 개발되었거나 제품으로 출시되었던 감성로봇 사례를 소개하고 향후 전망에 대해서 논의한다.

• Journal of Intelligence and Information Systems
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• v.7 no.2
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• pp.129-141
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• 2001

Kansei engineering or image technology is a tool to analyze relation between product design components and the impression or feeling of human for physical products. This paper attempts to construct the designer\`s aid tool for developing corporate identity(CI) symbol mark based on the hybrid Kansei engineering. It combines the forward Kansei engineering for translating consumer\`s feeling into design components of CI symbol mark and the backward Kansei engineering for evaluating consumer\`s feeling for CI symbol mark. The semantic differential(SD) evaluation experiment is carried out to find the relations between image and design. The backward Kansei engineering system is modelled by fuzzy neural network. This research is expected to contribute to the development of CI symbol mark that correspond to comsumer\`s image.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.202-207
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• 2010

In this paper, we present an automatic sentiment classification method for on-line movie reviews that do not contain explicit sentiment rating scores. For the sentiment polarity classification, positive or negative, we use a Support Vector Machine classifier based on syllable kernel that is an extended model of string kernel. We give some experimental results which show that proposed syllable kernel model can be effectively used in sentiment classification tasks for on-line movie reviews that usually contain a lot of grammatical errors such as spacing or spelling errors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.103-111
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• 2016

To provide baseline data for interventions to improve nursing students' satisfaction with their major, this descriptive correlational study analyzed the relationships among emotional intelligence, critical thinking, and major satisfaction. To set up the research data, questionnaires were collected from 232 nursing students in 3 nursing colleges of cities K and B from May 15th, 2014 to June 15th, 2014. SPSS 21.0 was used to analyze the data for the descriptive statistics, t-test, ANOVA, Scheffe's test, and Pearson correlation coefficients. The results are as follows. First, the mean scores of emotional intelligence (4.93), critical thinking (3.43), and major satisfaction (3.76) were above the moderate level but showed significant differences according to gender, grades, and motivations for choosing the major and challenges in college life. Positive correlations were observed among emotional intelligence, critical thinking, and major satisfaction Therefore, when designing an intervention program to improve the major satisfaction, it is recommended to consider a plan that enables them to develop emotional intelligence and critical thinking.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.555-566
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• 2020

The Purpose of this study is to examine the effect of emotional intelligence, resilience, and communication style on stress coping in college students. The research problems were verified by correlation analysis and multivariate regression analysis. A questionnaire survey was conducted on 303 college students. The findings are as follows. First, college students who have high emotional intelligence show more problem-focused coping and social-support seeking coping in stressful conditions. Particularly, it is found that managing emotion in emotional intelligence has the greatest effect on problem-focused coping and social-support seeking coping, using emotion influences emotion-focused coping. Second, college students who have high resilience are also found more problem-focused coping and social-support seeking coping in stressful conditions. Especially it is found that controllability has the greatest effect on problem-focused coping, positivism influences wishful thinking coping. Similarly, sociability influences social-support seeking coping and emotion-focused coping. Third, those students who was androgynous with high assertiveness and responsiveness used more frequently the problem-focused coping, those who was feminine with high responsiveness used more frequently the social-support seeking coping and wishful thinking coping.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.183-192
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• 2020

The purpose of this study was to identify the relationship between dental hygiene students' emotional intelligence, interpersonal competence, and major satisfaction, as a preliminary professional dental hygienist who can provide effective dental hygiene college life and high-quality dental medical services. Attempts were made to find ways to promote it. To collect data, a self-administered questionnaire was developed using a convenient sample method, and the questionnaire survey was conducted on dental hygiene students in Daejeon, Cheongju and Gunsan from April 8, 2019 to April 26, 2019. As a result, it was found that emotional intelligence and interpersonal competence were positively correlated, and there were positive correlation with major satisfaction, and interpersonal competence and major satisfaction were positively correlated. Emotional intelligence, interpersonal competence, and clinical practice satisfaction were the factors that influenced major satisfaction. These results indicate that individually customized counseling and educational approach are required and there is the necessity of utilizing multidimensional improvement strategy that integrate emotional intelligence and interpersonal ability training program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.280-290
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• 2018

This study was a non-equivalence-based Quasi experimental study comparing the difference in communication ability, emotional intelligence (EQ), self-esteem, and interpersonal abilities between an experimental group with communication training and a non-control group. The subjects of the study were nurses working for D university hospital located in C city and comprised an experimental group of 21 people and a control group of 21 people. From April to May 2017, the experimental group took communication training programs, which were designed to improve communication capacity, emotional intelligence, self-esteem, and interpersonal ability for a total of four sessions (for 2 hours a week), and pre-post examination was conducted for the validity of the study. For data analysis, the SPSS for Windows 23 was used for the mean and standard deviation of pre-post tests, and U-test of the independent sample Mann-Whitney and the Wilcoxon code order test of the corresponding sample were carried out. The study results indicate that, compared with the control group, the experimental group showed communication capacity (Z=-3.361, p<.05), emotional intelligence (Z=-2.209, p<.05), self-esteem (Z=-1.633, p<.05), and interpersonal relationship (Z=-2.577, p<.05). After the communication training program, scores of communication capacity, emotional intelligence (EQ), self-esteem, and interpersonal competence of the experimental group increased significantly, and all hypotheses were supported. These results suggest that nurses' use of communication training experience in performing nursing work in a clinical setting would improve communication skills, emotional intelligence (EQ), self-esteem, and interpersonal skills and provide therapeutic communication and effective nursing, thereby enhancing patients' satisfaction and contributing to the improvement of nursing quality.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.349-358
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• 2017

This study was done to identify the relationship between emotional intelligence, critical thinking disposition professional self-concept and problem solving skills of nursing students. Subjects were 212 associate nursing students associate nursing students(3rd and 4th grade) in Korea. The data were collected using self -report questionnaire from February 20 to March 30, 2017. Data were analyzed by frequencies, t-test, ANOVA, Pearson's correlation using SPSS Win 18.0. The score for emotional intelligence was 3.59, critical thinking disposition scoring 3.47, professional Self-Concept scoring 3.45 and problem solving skills scoring 3.45. Problem solving skills were significantly strong positive correlation with emotional intelligence(r=.68, p<.001), critical thinking disposition(r=.77, p<.001), Professional Self-Concept(r=.66, p<.001) in nursing students. Emotional intelligence, critical thinking disposition and professional self-concept explained 65.1% of total variance of problem solving skills of nursing students. Therefore, To increase problem solving skills of nursing students, it is necessary to develop and test the program for increase emotional intelligence, critical thinking disposition and professional self-concept of nursing students.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.243-252
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• 2019

The purpose of this study was to evaluate the effect of emotional intelligence, empathy ability, and calling consciousness of nursing students on happiness. The survey was conducted 217 nursing students attending in G city from September 3th to September 14th, 2018. Data was collected from self-administered questionnaires about happiness, emotional intelligence, empathy ability and calling consciousness. Data were analyzed by SPSS software version 21 using descriptive statistics (frequency) and analytical statistics (t-test, ANOVA, Pearson's correlation coefficient, linear regression). As a result, Happiness was significantly different by gender, grade, satisfaction in major, collegiate-life satisfaction, personal relationship, health status, perceived economic status. Also happiness showed positive correlation with emotional intelligence, empathy ability, and calling consciousness. Multiple regression analysis revealed that the predictors of happiness were grade, collegiate-life satisfaction, health status, empathy ability, calling consciousness, and emotional intelligence accounting for a total of 49.1% of the variance. Results of this study suggest that it is necessary for nursing students to intervention program aimed at enhance the happiness and it would be effective to focus on strengthening emotional intelligence and empathy ability for them.