• Child Health Nursing Research
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• v.30 no.1
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• pp.45-53
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• 2024

Purpose: This study develops a chatbot for school violence prevention (C-SVP) among elementary school students. Methods: Among the analysis, design, development, implementation, and evaluation (ADDIE) models, ADD phases were applied to develop a C-SVP. Students' learning needs were identified by constructing content with a design that attracted their attention. Subsequently, a formative evaluation was conducted on the developed C-SVP to test its applicability by ten elementary school students targeting the 5th and 6th grades. Results: The chatbot was designed using KakaoTalk and named "School Guardian Angel." The formative evaluation revealed that the developed C-SVP was easily accessible and useful for elementary school students. Conclusion: The developed C-SVP is expected to be effective in preventing violence among elementary school students. However, further research involving children of various age groups is required.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.157-166
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• 2018

Communication between customers and service providers is an important issue at sites where various businesses and transactions take place. In particular, the ability to solve problems quickly and accurately when a problem arises and when an inquiry is received is directly linked to trust in the site. In this paper, we propose a method of handling complaints and inquiries of site users by using chatbot technology on talent market platform site. First, we implemented chatbot that can communicate with the inquirers in real time, so that users can use the site usage and word search functions. For various errors and problems of the site which can not be defined by a few words or sentences, I have specified an error code and database it. Users of the site were able to contact chatbot with the error code that was output when an error occurred and get the corresponding response in real time. The chatbot implemented in this study provided a satisfactory experience because that was able to provide quick and accurate answers to users who experienced errors or inquiries when using the site. This will have a positive impact on the credibility and favorability of the site over the long term, and will help reduce manpower and time costs for error inquiries.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.106-116
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• 2024

Purpose: This paper conducts IoT and CCTV-based safety monitoring to analyze accidents and potential risks occurring at construction sites, and detect and analyze risks such as falls and collisions or abnormalities and to establish a system for early warning using devices like a walkie-talkie and chatbot service. Method: A safety management service model is presented through smart construction technology case studies at the construction site and review a relevant literature analysis. Result: According to 'Construction Accident Statistics,' in 2021, there were 26,888 casualties in the construction industry, accounting for 26.3% of all reported accidents. Fatalities in construction-related accidents amounted to 417 individuals, representing 50.5% of all industrial accident-related deaths. This study suggests implementing AI chatbot services for construction site safety management utilizing IoT-based health monitoring technologies in smart construction practices. Construction sites where stakeholders such as workers participate were demonstrated by implementing an artificial intelligence chatbot system by selecting major risk areas within the workplace, such as scaffolding processes, openings, and access to hazardous machinery. Conclusion: The possibility of commercialization was confirmed by receiving more than 90 points in the satisfaction survey of participating workers regarding the empirical results of the artificial intelligence chatbot service at construction sites.

• 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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.429-430
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• 2017

본 논문은 챗봇을 활용하여 반복적인 입시 질문을 응답하는 시스템에 설계하였다. 1회성 응답 대신 문맥을 기억하여 사용자의 의도를 파악하고 자세한 응답을 제공한다. 또한, 한글 처리와 입시 관련 데이터베이스 연동을 통해 일반화 할 수 있는 유연성을 갖는 구조이며, 반복적인 질의응답을 챗봇으로 대신할 수 있을 것으로 기대된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.461-462
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• 2021

본 논문에서는 봇 프레임워크의 Dialog와 HeroCard를 활용하여 게임 리그 오브 레전드의 초보자를 가이드 해 줄 수 있는 챗봇을 설계하고 구현한다. 이 애플리케이션은 게임 리그 오브 레전드 플레이어의 성향에 맞는 게임 속 캐릭터를 추천해 줄 수 있고 게임 내 요소에 대한 소개 및 설명을 할 수 있다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.445-446
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• 2023

본 논문에서는 봇 프레임워크 기반의 날씨 기반 코디 챗봇을 설계하고 구현한다. 이 챗봇은 셀레니움을 이용한 크롤링을 통하여 현재 위치의 날씨 정보와 원하는 지역의 날씨 정보를 제공한다. 또한 현재 위치의 날씨에 맞는 의류를 추천한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.679-680
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• 2023

코로나19로 인한 비대면 소비 트렌드의 확산으로, 매장 내의 설치된 키오스크의 수가 늘어나고 있다. 키오스크로 인한 인건비 및 관리비용 절감이라는 장점이 있지만 디지털 약자인·노약자들은 키오스크 조작이 어려워 사용이 어렵고, 문제가 발생했을 때 직원이 유일한 도움이라는 문제가 있다. 이 논문에서는 얼굴 인식을 통해 노약자를 인식하고 키오스크 챗봇을 통하여 사용을 도와주는 시스템을 제안한다. 키오스크 챗봇을 이용하면 노약자들이 키오스크를 쉽게 이용할 수 있을 것으로 기대된다.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.115-121
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• 2020

This study aims to develop a framework of structural scenarios for chatbot docent that supports visitors' activities in science centers and museums, and to suggest the application examples. For this study, the author adapted Focus Group Interview. As a result, the frameworks of scenarios could be categorized into the Collection of Science and Technology(CST) and Inquiry-Based Exhibition(IBE). These frameworks had dimensions of the primary and storytelling in common. Especially, framework of IBE scenario was added the usage dimension considering the characteristics of interaction between exhibits and visitors. This study could be basic materials for AI chatbot to support exhibition descriptions using the built data, and is expected to be help develop a more visitor-oriented scenarios of activities.

• Journal of Internet of Things and Convergence
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• v.4 no.1
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• pp.31-36
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• 2018

In this paper, we developed a chatbot system using the Django framework using the KakaoTalk API so that college students can easily search for important information in their university. Unlike existing chatbot systems that provide only specific information, the chatbot developed in this research automatically provides search results for various types of user queries such as weather, YouTube, Naver real-time ranking search and language translation as well as important information within their own university. We developed a module using Apache, Python and Django in AWS Ubuntu server and developed a chatbot system that automatically responds to user queries by communicating with KakaoTalk server using KakaoTalk API and BeautifulSoup. The system developed in this study is expected to be applicable to the future university entrance information promotion and election promotion system.