• Journal of Advanced Technology Convergence
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• v.3 no.3
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• pp.17-27
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• 2024

This study focuses on the development and evaluation of a chatbot system based on the International Classification of Functioning, Disability, and Health (ICF) framework to enhance community participation among elderly individuals with mild dementia in South Korea. The study involved 12 elderly participants who were living alone and had been diagnosed with mild dementia, along with 15 caregivers who were actively involved in their daily care. The development process included a comprehensive needs assessment, system design, content creation, natural language processing using Transformer Attention Algorithm, and usability testing. The chatbot is designed to offer personalized activity recommendations, reminders, and information that support physical, social, and cognitive engagement. Usability testing revealed high levels of user satisfaction and perceived usefulness, with significant improvements in community activities and social interactions. Quantitative analysis showed a 92% increase in weekly community activities and an 84% increase in social interactions. Qualitative feedback highlighted the chatbot's user-friendly interface, relevance of suggested activities, and its role in reducing caregiver burden. The study demonstrates that an ICF-based chatbot system can effectively promote community participation and improve the quality of life for elderly individuals with mild dementia. Future research should focus on refining the system and evaluating its long-term impact.

• Annual Conference of KIPS
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• 2019.05a
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• pp.682-683
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• 2019

본 논문에서는 인공지능 Watson 기반의 챗봇 시스템에서 효율적인 자연어 처리를 위한 시나리오 설계 방법을 제안하고자 한다. 주제별 시나리오 구성을 단순히 무작위 순서로 배치하는 것 보다 연관도가 높은 노드를 가깝게 연결하는 것이 주제 전환 속도와 효율성 측면에서 유의미한 것으로 나타났다. 시스템의 구성 요소를 연결해주는 어플리케이션은 빠르게 질문과 답변 전달이 가능하도록 모듈화하여 PaaS 클라우드에 연결하도록 한다. 그 결과 경제적이고 단순한 개발 환경에서 어플리케이션을 구현하는 것이 가능했다. API를 호출하여 답변을 전달하는 경우에는 약 2.005초 정도로 빠른 응답 속도를 보였다. 따라서 본 논문에서 설명하는 챗봇 시스템 설계 방법을 사용할 경우 저비용으로 효율성 있는 서비스 제공 플랫폼을 구축할 수 있다.

• The Journal of Bigdata
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• v.3 no.2
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• pp.79-85
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• 2018

As the utilization of chatbots grows and the AI market grows, many companies are interested. And everybody is spurring growth by offering chatbot build services so that they can create chatbots. This makes chatbots easier to service on the messenger platform, which is changing the existing application market. In this paper, we present a methodology for designing and implementing existing DB-based applications as instant messenger platform-based applications, and summarize what to consider in actual implementation to provide an optimal system structure. According to this methodology, we design and implement a chatbot that serves as an teaching advisor who provides information to the students in the curriculum. The implemented application objectively visualizes the user's desired information from the user's point of view and delivers it through the interactive interface quickly and intuitively. By implementing these services and real service, it is predicted that DB-based information providing applications will be implemented as chatbots and will be changed to bi-directional communication through an interactive interface. it is predicted that DB-based information providing applications will be implemented as chatbots and will be changed to bi-directional communication through an interactive interface. Enterprise legacy application will take chatbot technology as one of important digital transformation initiative.

• 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.

• Journal of Platform Technology
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• v.11 no.6
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• pp.79-88
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• 2023

Recently, industrial accidents have continued to increase due to the industrialization, and worker safety management is recognized as essential to reduce losses due to hazardous factors at work places. To manage the safety of workers, it is required to apply customized safety management artificial intelligence technology that takes into account the characteristics of industrial sites, and a service for real-time risk detection and response to workers depending on the situation based on safety accident types and risk analysis for each task and process. The proposed safety management service consists of worker devices to acquire sensor data, edge devices to collect from IoT-based sensors, and a voice chatbot to support workers' disaster response. The voice chatbot plays a major role in interacting with workers at disaster sites to respond to risks. This paper focuses on real-time risk response using an IoT-based system and voice chatbot on a server for work safety according to the worker's situation. A Scenario-based voice chatbot is used to process responses at the edge level to provide safety management services.

• Education of Primary School Mathematics
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• v.27 no.3
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• pp.303-320
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• 2024

This study presents the development and performance evaluation of a custom GPT-based chatbot tailored to provide solutions following Polya's problem-solving stages. A beta version of the chatbot was initially deployed to assess its mathematical capabilities, followed by iterative error identification and correction, leading to the final version. The completed chatbot demonstrated an accuracy rate of approximately 89.0%, correctly solving an average of 57.8 out of 65 image-based problems from a 6th-grade elementary mathematics textbook, reflecting a 4 percentage point improvement over the beta version. For a subset of 50 problems, where images were not critical for problem resolution, the chatbot achieved an accuracy rate of approximately 91.0%, solving an average of 45.5 problems correctly. Predominant errors included problem recognition issues, particularly with complex or poorly recognizable images, along with concept confusion and comprehension errors. The custom chatbot exhibited superior mathematical performance compared to the general-purpose ChatGPT. Additionally, its solution process can be adapted to various grade levels, facilitating personalized student instruction. The ease of chatbot creation and customization underscores its potential for diverse applications in mathematics education, such as individualized teacher support and personalized student guidance.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.29-34
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• 2021

With the advent of the 4th industrial revolution era, IT technology is creating new services that have not existed by converging with various existing industries and fields. In particular, in the field of artificial intelligence, chatbots and the latest technologies have developed dramatically with the development of natural language processing technology, and various business processes are processed through chatbots. This study is a study on a system that provides a close answer to the question the user wants to find by creating a structural form for legal inquiries through Slot Filling-based chatbot technology, and inputting a predetermined type of question. Using the proposal system, it is possible to construct question-and-answer data in a more structured form of legal information, which is unstructured data in text form. In addition, by managing the accumulated Q&A data through a big data storage system such as Apache Hive and recycling the data for learning, the reliability of the response can be expected to continuously improve.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.315-316
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• 2020

본 논문에서는 현재 이슈가 되고 있는 코로나에 대해서 사람들이 실생활에서 궁금해할 정보들을 Seq2seq 기술을 사용한 챗봇으로 정보를 제공한다.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.4
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• pp.221-230
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• 2019

This paper aims to introduce the case of operating electronic document system and record management system as one system called i-Works at Korea Midland Power Company. i-Works combines intelligent services, such as artificial intelligence and a chatbot, as a supplementary tool for record management. As such, the preparation process and progress direction for the development of the record management system is introduced, an in-depth review of real-time transfer and utilization of the functional classification system to enhance the utilization of the current records is presented, and new technologies, such as artificial intelligence for an efficient management of the increasing number of electronic records, are established.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.441-442
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• 2018

본 논문에서는 입시상담을 위한 챗봇 시스템을 텍스트 유사도 기반으로 개발하였다. 텍스트를 인지하여 답변을 제공해 주는 방식이며 실시간을 요하는 데이터들은 크롤링한 데이터를 가공을 한 후 사용자에게 대답을 해주고 사용자가 답변에 얼마나 좋은 정보인지 체크하여 그에 맞는 답변을 내어 준다. 사용자의 텍스트를 인식하는 것은 텍스트 유사도를 이용하여 정확하게 인지하고 사용자의 질문과 답변을 서버 DB에 저장을 하여 비슷한 질문이 있을 경우 저장된 답변과 평점을 이용하여 답변을 제공한다.