• Journal of Industrial Convergence
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• v.20 no.5
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• pp.83-92
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• 2022

As cases of social and ethical problems caused by artificial intelligence technology have occurred, artificial intelligence ethics are drawing attention along with social interest in the risks and side effects of artificial intelligence. Artificial intelligence ethics should not just be known and felt, but should be actionable and practiced. Therefore, this study proposes an artificial intelligence ethics education model to strengthen the practical ability of artificial intelligence ethics. The artificial intelligence ethics education model derived educational goals and problem-solving processes using artificial intelligence through existing research analysis, applied teaching and learning methods to strengthen practical skills, and compared and analyzed the existing artificial intelligence education model. The artificial intelligence ethics education model proposed in this paper aims to cultivate computing thinking skills and strengthen the practical ability of artificial intelligence ethics. To this end, the problem-solving process using artificial intelligence was presented in six stages, and artificial intelligence ethical factors reflecting the characteristics of artificial intelligence were derived and applied to the problem-solving process. In addition, it was designed to unconsciously check the ethical standards of artificial intelligence through preand post-evaluation of artificial intelligence ethics and apply learner-centered education and learning methods to make learners' ethical practices a habit. The artificial intelligence ethics education model developed through this study is expected to be artificial intelligence education that leads to practice by developing computing thinking skills.

• Journal of Families and Better Life
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• v.21 no.6
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• pp.15-26
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• 2003

This study compared institutionalized children with at home children regarding characteristics of emotional intelligence and self-esteem, and the relationship between the two. The participants of this study were 62 institutionalized children and 98 children reared at home, residing in an undisclosed city. Major findings of this study were as follows. First, the institutionalized children had a lower level of self-esteem and emotional intelligence than children at home. Second, the relationship between self-esteem and emotional intelligence was significantly different between institutionalized and at-home children. Third, in case of institutionalized children, ‘other-regulation and self-expression’ among the emotional intelligence factors was the strongest predictor of ‘scholastic competence’ among self-esteem factors. In contrast, for the at-home children, ‘other-regulation and self-expression’ among the emotional intelligence factors was the strongest predictor of ‘social acceptance’ among self-esteem factors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3216-3230
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• 2015

A hot-issued research topic in the workflow intelligence arena is the emerging topic of "workflow-supported organizational social networks." These specialized social networks have been proposed to primarily represent the process-driven work-sharing and work-collaborating relationships among the workflow-performers fulfilling a series of workflow-related operations in a workflow-supported organization. We can discover those organizational social networks, and visualize its analysis results as organizational knowledge. In this paper, we are particularly interested in how to visualize the degrees of closeness centralities among workflow-performers by proposing a graphical representation schema based on the Graph Markup Language, which is named to ccWSSN-GraphML. Additionally, we expatiate on the functional expansion of the closeness centralization formulas so as for the visualization framework to handle a group of workflow procedures (or a workflow package) with organizational workflow-performers.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.221-229
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• 2018

Machine learning and artificial intelligence are core technologies for the 4th industrial revolution. However, it is difficult for the general public to get familiar with those technologies because most people lack programming ability. Thus, we developed a Graphic User Interface(GUI) to overcome this obstacle. We adopted TensorFlow and used .Net of Microsoft for the develop. With this new GUI, users can manage data, apply algorithms, and run machine learning without coding ability. We hope that this development will be used as a basis for developing artificial intelligence in various fields.

• The Journal of Industrial Distribution & Business
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• v.11 no.6
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• pp.41-53
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• 2020

Purpose: The purpose of this study is to review the previous studies on the characteristics of the image search service provided by using artificial intelligence, the social impact characteristics, and the moderating effect of perceived anthropomorphism, and conduct empirical analysis to identify the constituent factors affecting purchase intention. To clarify. Through this, I tried to present theoretical and practical implications. Research design, data, and methodology: Research design was that characteristics of image search service (ubiquity and information quality) and social impact characteristics (subjective norms, electronic word of mouth marketing) are affected by mediation of satisfaction and flow, therefore, control of perceived anthropomorphism have an effect on purchase intention to increase. For analysis, research conducted literature review, and developed questionnaires, so that EM firm which is a specialized research institute has collected data. This was conducted on 410 people between the 20s and 50s who have mobile shopping experiences. SPSS Statistics 23 and AMOS 23 had been used to perform necessary analysis such as exploratory factor analysis, reliability analysis, feasibility analysis, and structural equation modeling based on this data. Results: first, ubiquity, information quality and subjective norms were found to have a positive effect on purchase intention through satisfaction and flow parameters. Second, satisfaction and flow were found to have a mediating effect between ubiquity, information quality, and subjective norms and purchase intentions. However, there was no mediating effect between eWOM information and purchase intention. Third, perceived anthropomorphism was found to have a moderating effect between information quality and satisfaction, and it was found that there was no moderating effect on the relationship between information quality and flow. Conclusions: The information quality of image search services using artificial intelligence has a positive effect on satisfaction, and it has been found that there is a positive moderate effect of perceived anthropomorphism in this relationship, which may be an academic contribution to the distribution science utilizing artificial intelligence. Therefore, it is possible to propose a distribution strategy that improves purchase intention by utilizing image search service and anthropomorphism in practical business and providing a more enjoyable immersive experience to customers.

• Korean Journal of Childcare and Education
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• v.2 no.2
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• pp.147-164
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• 2006

The purpose of this study was to investigated, On the Effect of Parent's Rearing Attitudes, Social Support On the Children's Emotional Intelligence. 243 Children were surveyed for this study. Spss/pc was run for statistical data analysis. This study abstracted that the most important factors Parent's Rearing Attitudes, Social support, Emotional Intelligence. In conclusion, this study implies that retraining and teaching programs for teachers need to be accessed variably, considered with the results of this paper.

• Informatization Policy
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• v.23 no.4
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• pp.3-23
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• 2016

Since Turing (1950) proposed the development of a machine or system that could think and communicate with humans, many engineers and scientists have made endless efforts to create machines and systems that can replace humans. This effort made the field of artificial intelligence. Recently, as many people have been interested in the 4th Industrial Revolution, research on artificial intelligence technology has been actively carried out not only in the university laboratories but also in the companies as the core technology for realizing the 4th Industrial Revolution. As the artificial intelligence technology has been penetrated deeply into our lives, it is true that our lives have become much easier and more comfortable than in the past, but on the other hand, we have begun to have various negative effects. In this study, we review the social changes caused by artificial intelligence in terms of intelligent products and services. By analyzing positive effects and dysfunctions in various cases of daily life and work environment, we try to identify main policy issues.

• Journal of Families and Better Life
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• v.23 no.4 s.76
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• pp.17-26
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• 2005

The purpose of the this study was to identify the relations among intelligence, parenting environment and self-regulation of preschool children. The subjects were 81 children between the ages 3 and 6 and their mothers from one day-care center in Seoul. T-test, correlation analysis, multiple regression analysis were used for data analysis. First, the result of this study showed that children's self-regulation ability by sex difference was significant to only girls and children's self-regulation ability by no was not significant. Parents who had higher educational background were positively related to children's intelligence and children's self-regulation ability was significant to mothers' educational background. Second, the preschool children who got higher scores in intelligence scale were higher self-regulation ability. Third, the young children's self-regulation ability showed significance only in motor intelligence which was one of the subscales of intelligence scale. Fourth, the effect of children's intelligence and parenting environment on preschoolers' self-regulation were relatively presented as intelligence($\beta$=.34, p<.01), trauma state($\beta$=0.31, p<.05) and development state($\beta$ =.23, p<0.5) which were subscales of parenting environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1509-1521
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• 2011

WfMC, which is one of the international standardization organizations leading the business process and workflow technologies, has been officially released the BPAF1.0 that is a standard format to record process instances' event logs according as the business process intelligence mining technologies have recently issued in the business process and workflow literature. The business process mining technologies consist of two groups of algorithms and their analysis techniques; one is to rediscover flow-oriented process-intelligence, such as control-flow, data-flow, role-flow, and actor-flow intelligence, from process instances' event logs, and the other has something to do with rediscovering relation-oriented process-intelligence like process-driven social networks and process-driven affiliation networks from the event logs. The current standardized format of BPAF1.0 aims at only supporting the control-flow oriented process-intelligence mining techniques, and so it is unable to properly support the relation-oriented process-intelligence mining techniques. Therefore, this paper tries to extend the BPAF1.0 so as to reasonably support the relation-oriented process-intelligence mining techniques, and the extended BPAF is termed BPAF2.0. Particularly, we have a plan to standardize the extended BPAF2.0 as not only the national standard specifications through the e-Business project group of TTA, but also the international standard specifications of WfMC.

• Journal of Internet of Things and Convergence
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• v.4 no.2
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• pp.29-46
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• 2018

The purpose of this study is to understand the relation among experience of verbal abuse, emotional labor, emotional intelligence, social support and turnover intention of hospital nurses. The survey was conducted with 189 hospital nurses working at general hospital in the city of S. The data was collected by using structured questionnaires as research tools from November 17, 2015 to November 27, 2015. The collected data was analyzed by using SPSS ver. 18.0 program. As a result of the correlation analysis between the nurse 's experience of verbal abuse, emotional labor, emotional intelligence, social support and turnover intention, the turnover intention of the nurse was a significantly positive correlation between the experiences of verbal abuse from the doctor, nurses, patients, and the caregiver and the emotional labor. Also, There is a significantly negative correlation between emotional intelligence and social support. In order to identify the factors influencing the turnover intention of the subjects, multiple regression analysis was performed. The statistically significant variables were emotional labor & the ER in the working department.