• KIPS Transactions on Software and Data Engineering
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• v.9 no.11
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• pp.339-344
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• 2020

During COVID-19, education industry is organizing the concept of 'Edutech', which has evolved one step further from the existing e-Learning, by introducing various intelligent information technologues based on the core technology of the 4th industrial revolution and spreading it through diverse contents. Meanwhile, each industries are creating new industries by applying new technology to existing businesses and ask for needs of cultivating human resources who understand the existing traditional ICT technology and industrial business which can solve a newly rising problems. However, it is difficult to build contents for cultivating such human resources with the existing e-learning of transferring knowledge by one-way or some two-way commnication system which has established some interactive conversational system. Accordingly, this study conducted a research on a cooperative e-learning system that enables educators to communicate with learners in real time and allows problem-solving education based on the existing two-way communication system. As a result, frame for contents and prototype was developedp and artially applied to the actual class and conducted an efficiency analysis, which resulted in the validation of being applied to the actual class as a simulation-based cooperative content.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.33-38
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• 2018

Recently, we are trying to predict the emotion from various information and to convey the emotion information that the supervisor wants to inform the audience. In addition, audiences intend to understand the flow of emotions through various information of non-dialogue parts, such as cinematography, scene background, background sound and so on. In this paper, we propose to extract emotions by mixing not only the context of scripts but also the cinematography information such as color, background sound, composition, arrangement and so on. In other words, we propose an emotional prediction system that learns and distinguishes various emotional expression techniques into dialogue and non-dialogue regions, contributes to the completeness of the movie, and quickly applies them to new changes. The precision of the proposed system is improved by about 5.1% and 0.4%, and the recall is improved by about 4.3% and 1.6%, respectively, when compared with the modified n-gram and morphological analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.381-389
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• 2021

Maogusi dance is an ancient ritual dance of the Tujia, a Chinese ethnic minority living in the remote region of the western Hunan Province of China. With characters, dialogues, simple story plots and unique performance procedures, it expresses ancient people's devout worship of nature, totems, ancestors, and reproduction in the uncivilized age. With the advancement of human civilization and the opening to the outside world, many dances of the ethnic minority gradually have faded out, while the Maogusi dance is still popular among the Tujia people and its spiritual symbols have been passed on through the generations. It is recognized by experts in dance and drama circles as the original source of Chinese dance and drama. From the perspectives of philosophy, religion, anthropology and folklore, this paper tries to remove the mysterious veil covering the Maogusi dance of the Tujia to explain how its ancient spiritual symbols have survived and why the original ecological consciousness has been preserved. These aims would help in understanding the deep connotation of this ancient Chinese art with its long history and profound culture.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.1
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• pp.41-50
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• 2023

Recently, as the Coronavirus disease 2019 (COVID-19) prolongs along with the development of artificial intelligence technology, a non-contact society has become commonplace. Many companies are promoting digital transformation and the activation of artificial intelligence introduction to respond to this which leads to dramatic increase of demand for Chatbot. In addition, a Chatbot has reached the point of processing business transactions from responding simple inquiries. However, it is necessary to develop an API to interface with the legacy system and there are many difficulties in connecting. To solve this, it is becoming important to establish a hybrid Chatbot environment through RPA interface. Recently, the combination of RPA and Chatbot is considered an effective tool for handling many business processes. But, there are many difficulties due to the lack of interface cases and the difficulty in finding a method to development them. This study suggests a method for building a hybrid Chatbot which is an interface Chatbot(Conversational UX) and RPA(Task Automation) from the perspective of hyper-automation based on actual development cases and review of literature review is presented, so that the interface method can be understood and develop more easily. Therefore, there are implications for actively using AI Chatbot for digital transformation.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.3
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• pp.421-426
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• 2023

Among artificial intelligence convergence technologies, Chatbot is an artificial intelligence-based interactive system and refers to a system that can provide interaction with humans. Chatbots are being re-examined as chatbots develop into NLP, NLU, and NLG. However, artificial intelligence chatbots can provide biased information based on learned data and cause serious damage such as privacy infringement and cybersecurity concerns, and it is essential to understand artificial intelligence technology and foster AI literacy. With the continued evolution and universalization of artificial intelligence, AI Literacy will also expand its scope and include new areas. This study is meaningful in raising awareness of artificial intelligence technology and proposing the use of human respect technology that is not buried in technology by cultivating human AI literacy capabilities.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.491-502
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• 2022

Voice technology allows consumers to make purchases through smart devices, and the interest in voice-driven conversational commerce has significantly expanded. In this study, we explored the continuance use intention of voice commerce, and the adoption of a value-attitude-behavior model. An online survey was conducted on 360 individuals who used an artificial intelligence assistant device in a voice commerce environment. We used Amos 23.0 and SPSS 25.0 for descriptive, confirmatory, and structural equation modeling analyses. These results indicated that functional value was the highest influencing variable on satisfaction of voice commerce, while social, emotional, and epistemic values significantly influenced it as well. Additionally, satisfaction of voice commerce significantly influenced the continuance use intention of voice commerce. These findings could help us understand the characteristics of voice commerce users and the diversity value in voice commerce environment.

• 한국벤처창업학회:학술대회논문집
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• 2021.04a
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• pp.79-83
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• 2021

2020년 2월 중순 이루 코로나 바이러스 2019(Covid-19)로 인하여 정부의 기술창업기업 지원 방식도 전반적으로 기존의 대면 방식에서 비대면 방식으로 전환하여 현재까지 대부분 진행되어 오고 있다. 창업기업에 대한 멘토링은 특히 멘티인 창업자와 멘토가 기존에 알고 있는 관계가 아닌 대부분 처음 만나는 관계의 확률이 높음에 따라 사전에 상호간에 라포(Rapport)가 형성되지 않은 상태에서 멘토링이 이루어진다. 이로 인해 Rapport가 형성이 안된 상태에서는 서로 호감을 느끼거나, 나아가 공감대 형성, 그리고 터놓고 이야기 하여, 서로 간의 대화가 충분히 감정적으로나 이성적으로 이해하기가 어려운 경우가 대부분이다. 이러한 경우에는 충분한 멘토링이 어려울 것으로 예상할 수 있다. 따라서 본 연구는 창업 멘토링의 특수성을 감안해 볼 때 정부 기술창업지원 방식 중 기업의 성과를 높이기 위한 멘토링 과정에서 대면 또는 비대면 방식의 방법 차이가 멘토링 만족도에 영향을 주는 것을 그 목적으로 한다. 본 연구는 창업 기업의 성과를 높이기 위한 중소벤처기업부의 도약패키지 사업 중 2019년과 2020년의 제품 아카데미 사업에 참여한 283명을 대면 방식이었던 2019년 211명과 비대면 방식이었던 2020년 72명의 창업 기업 멘티들의 학습 과정에서 발생하는 배운 내용을 실천하고자 하는 학습 전이 효과 경로에 차이가 발생하는 지에 대하여 분석하였다. 자기 기입 설문 방식으로 인해 발생할 수 있는 동일방법편의를 해결하고자 구조화된 설문지 구성할 때부터 응답자의 일관성 동기를 줄이려고 하였고, 통계분석 단계에서도 다수이 방법으로 측정하는 일반 CFA 모형을 활용하였다. 실증 분석결과 비대면 방식의 창업 멘토링 방식을 학습 전이 효과 경로 결과에 있어서 조절효과가 있음을 유의한 통계적 결과고 확인하고, 사후 검증을 통해 볼 때 등분산 가정이 되지 않은 상황에서 차이가 있음을 통계적으로 유의하게 나타났다.

• Smart Media Journal
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• v.12 no.9
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• pp.81-88
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• 2023

Recently, communication through online is increasing due to the spread of non-face-to-face services due to COVID-19. In non-face-to-face situations, the other person's opinions and emotions are recognized through modalities such as text, speech, and images. Currently, research on multimodal emotion recognition that combines various modalities is actively underway. Among them, emotion recognition using speech data is attracting attention as a means of understanding emotions through sound and language information, but most of the time, emotions are recognized using a single speech feature value. However, because a variety of emotions exist in a complex manner in a conversation, a method for recognizing multiple emotions is needed. Therefore, in this paper, we propose a multi-emotion regression model that extracts feature vectors after preprocessing speech data to recognize complex, inherent emotions and takes into account the passage of time.

• Journal of the Korea Society of Computer and Information
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• v.29 no.6
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• pp.101-112
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• 2024

In this paper, we present EDF (Event Data Factory), an interactive tool designed to assist event log generation for process mining. EDF integrates various data connectors to improve its capability to assist users in connecting to diverse data sources. Our tool employs low-code/no-code technology, along with graph-based visualization, to help non-expert users understand process flow and enhance the user experience. By utilizing metadata information, EDF allows users to efficiently generate an event log containing case, activity, and timestamp attributes. Through log quality metrics, our tool enables users to assess the generated event log quality. We implement EDF under a cloud-based architecture and run a performance evaluation. Our case study and results demonstrate the usability and applicability of EDF. Finally, an observational study confirms that EDF is easy to use and beneficial, expanding small and medium-sized enterprises' (SMEs) access to process mining applications.

• Journal of The Korean Association For Science Education
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• v.28 no.8
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• pp.848-859
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• 2008

The purposes of this study were to investigate the relationship between science achievement and student-related variables in the 2006 National Assessment of Educational Achievement (NAEA), the subjects of which included 3% of students within the entire population of the grades 6, 9 and 10. The results showed that the more they talk with parents, study by themselves, and read the books, the higher the students achieved in science. The science achievement was also significantly and positively related to self-regulated learning, adaptation to school life and attitude toward science. It is implied that the approach of stimulating internal motive such as interest, attitude toward science and human relations is more effective in resulting in the students' higher science achievement than focusing on external attitudes such as forcing good study habits.