• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1649-1652
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• 2012

본 연구에서는 사용자의 성격패턴을 사용자의 대화음성 정보만으로 자동 분류할 수 있는 방법과 이를 기반으로 사용자의 성격 맞춤형 학습전략을 적용하는 애플리케이션을 개발하는 것을 목적으로 하였다. 음성대화 속의 발화된 말의 빠르기(speech rate)나 말소리의 크기, 기본주파수(fundamental frequency)의 값과 그들의 변화패턴, 그리고 묵음구간의 여러 가지 통계적 정보 같은 비언어적 단서를 활용하여 성격패턴을 최고 86.3% 까지 정확하게 인식해 낼 수 있었다. 또한 성격 별 영어단어 학습방법을 개발하여 사전 및 사후테스트를 기반으로 실험한 결과 약 24% 성적 향상을 보였다. 이 연구를 통해 확보되는 원천기술은 각종 에듀테인먼트 콘텐츠에는 물론 로봇과의 대화시스템, 치료나 재활을 위한 기능성 콘텐츠 등에 유용하게 사용될 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04b
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• pp.1225-1228
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• 2001

ASP는 동적인 대화형 웹 서버 응용 프로그램을 작성하고 실행하기 위해 사용할 수 있는 '서버 측 스크립트' 환경이다. ASP를 사용하면 HTML 페이지와 스크립트 명령 및 ActiveX 구성요소를 조합하여 대화형 웹 페이지나 강력한 웹 기반의 응용 프로그램을 만들 수 있다. 사용자가 HTML에 익숙한 사람이라면 ASP 스크립트가 동적인 페이지의 작성을 위한 좋은 방법임을 알 수 있을 것이다. 또한 HTML 파일 작성에 필요한 자바 스크립트나 비쥬얼 베이직 스크립트는 물론이고 그 외 HTML 파일의 내용을 요구에 맞게 배치하기 위해 사용하는 CSS1의 기본적인 내용 정도는 알고 있어야 한다고 본다. 뿐만 아니라 CGI 프로그래밍과 웹 서버와 클라이언트의 상호 작용 관계, 그리고 웹 서버 관리하는 방법 등의 내용을 완벽하게 갖추고 있다고는 생각하지는 않는다. 하지만 앞으로 진행해 나가면서 직접 설명을 하지는 않겠지만 이와 같은 기술들이 모두 사용이 될 것이고, ASP는 다른 웹 애플리케이션 언어보다 쉽고, 웹에서의 많은 응용과, 무한한 가능성을 내포하고 있다는 것을 말하고 싶다. 그러므로 ASP에 접근하는 방법에 있어서 운영하는 방법을 연구하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.174-176
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• 2022

In this paper, we present a mobile application for 'personalized customized learning' for children with articulation disorders using an artificial intelligence (AI) algorithm. A dataset (Data Set) to analyze, judge, and predict the learner's articulation situation and degree. In particular, we designed a prototype model by looking at how AI can be improved and advanced compared to existing applications from the UX/UI (GUI) aspect. So far, the focus has been on visual experience, but now it is an important time to process data and provide a UX/UI (GUI) experience to users. The UX/UI (GUI) of the proposed mobile application was to be provided according to the learner's articulation level and situation by using CRNN (Convolution Recurrent Neural Network) of DeepLearning and Auto Encoder GPT-3 (Generative Pretrained Transformer). The use of artificial intelligence algorithms will provide a learning environment with a high degree of perfection to children with articulation disorders, thereby enhancing the learning effect. I hope that you do not have any fear or discomfort in conversation by improving the perfection of articulation with 'personalized and customized learning'.

• Cross-Cultural Studies
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• v.42
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• pp.261-283
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• 2016

The aim of this study is to consider the possibility of learning polite expressions of English using the mobile application Naver Band. To improve communicative competence, students need to develop sociolinguistic competence as well as grammatical and discourse competence. To be accordant to social context, the roles of the participants, and the purpose of the interaction, students have to make an appropriate utterance. When a hearer has a higher social status and is older than a speaker, or have low levels of familiarity, Korean native speaker tends to use polite expressions. Students need to learn polite expressions of English because English has a different honorific system from Korean. To realize the characteristics and function of polite language is one thing, but to learn it in a real classroom is another. This study attempts to apply the use of a mobile application, which is considered a user-friendly tool for students, into learning polite language using the UK historical drama, Downton Abbey. Two tests were administered to an experimental group that used the mobile application and a control group that used group work. The results of the two tests show that the use of the mobile application has a positive effect on learning polite expressions and is effective as an after-school activity. In an open-ended questionnaire, students tend to identify polite expressions as superior or high-level language forms and separate these forms from practical expressions. It should be noted as well that teachers need to consider instructing in modern English when using a historical drama in the teaching and learning of polite expressions.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.4
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• pp.145-152
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• 2018

In electronic textbooks (or e-Textbooks) the traditional paper-based textbooks are enriched with multimedia contents and new features such as interactive multimedia-based simulation, interactive quizzes, and content sharing. It has been envisioned that e-Textbooks will gradually replace the traditional paper-based textbooks in classrooms in the near future. HTML5 is an emerging and promising standard that enables web applications (or apps) to incorporate rich multimedia contents such as video clips, flash movies and simulation-based demonstration, as well as to provide cross-platform functionality which allows the apps to run on a diverse range of platforms. To support rich multimedia contents and cross-platform functionality, with respect to HTML5, this paper presents the new features, compares the current trend of mobile apps (e.g., native, web-based and hybrid apps) for e-Textbook development. In order to investigate the suitability of these three development approaches for e-Textbooks, we present a case study on our recent work in developing e-Textbooks using HTML5 and JavaScript, as well as analyses the challenges associated with HTML5 features (e.g, compatibility with web browsers) for developing e-Textbooks.

• Journal of Broadcast Engineering
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• v.15 no.2
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• pp.248-264
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• 2010

In this paper, we presents an efficient rich media framework based on MPEG-4 LASeR PMSI. Rich media provides distinctive features such as dynamic updates and object-based interactivity over the conventional AV centric media service. It rapidly gains its popularity as the convergent multimedia services between broadcasting and telecommunication. MPEG-4 LASeR is an international standard which provides specifications for such rich media services. Recently MPEG added an extension to LASeR called PMSI. It provides an efficient technique to present SI on a scene by referencing specific portions of SI from PI. The presented rich media application is using PMSI of MPEG-4 LASeR standard to provide users a widget-like rich media application. This application utilizes MPEG-4 LASeR with PMSI technique as PI, and this PI references SI to present information that resides in SI on a scene. In this paper, we provide descriptions of technical ingredients used to build the presented application. The framework is presented followed by the implementation result. Possible impacts and applicable services are described in the conclusion.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.563-574
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• 2024

While the integration of chatbot and the simplification of financial terminology in Financial services' apps are increasingly common, automotive finance apps often show lower user satisfaction for complex terminol- ogy and rigid content. This study investigates the effects of chatbot interaction modes and the simplification of financial terminology on user experience in automotive finance apps. We developed prototypes for car lease tasks under different conditions: the type of user interaction channel (chatbot vs menu-based), and the usage of financial terminology. A 2 x 2 experimental survey was conducted to measure perceptions of friendliness, read- ability, trust, and accuracy. The findings revealed that chatbot interactions significantly enhance friendliness more than menu-based interactions, and simplifying terminology significantly improves readability and friendliness. However, no significant differences were observed in trust and accuracy between the conditions. Furthermore, nosignificant interaction effects were found between the two conditions across all variables. This study contributes by quantitatively assessing the impacts of chatbot consultation modes and terminology sim- plification on customer experience in financial services.

• 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.

• Convergence Security Journal
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• v.24 no.2
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• pp.89-104
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• 2024

This study is an empirical study to examine the factors that influence the intention to use artificial intelligence (AI) technology for SW engineering-related tasks, and the purpose of the study is to understand the key factors that influence the use in terms of AI augmentation characteristics and interactive UI/UX characteristics. For this purpose, a survey was conducted among information and communication workers who have experience in using AI-related technologies and the collected data was analyzed. The results of the empirical analysis showed that perceived usefulness was positively influenced by the factors of expertise, interestingness, realism, aesthetics, efficiency, and flexibility, and perceived ease of use was positively influenced by the factors of expertise, interestingness, realism, aesthetics, and flexibility. Variety had no effect on both perceived ease of use and perceived usefulness. Perceived ease of use had a significant effect on perceived immersion, which positively influenced intention to use. These findings are significant in that they provide an academic understanding of the factors that influence the use of AI-enhanced tools in SW engineering-related tasks such as application design, development, testing, and process automation, as well as practical directions for the creators of tools that provide AI-enhanced development services to develop user acquisition strategies.