• 한국콘텐츠학회논문지
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• 제18권5호
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• pp.311-318
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• 2018

본 논문에서는 대화형 인공지능 인터랙티브 아트인 "진화하는 신, 가이아" 작품을 중심으로 예술 의미적인 배경과 작품이 구현된 기술적 구조에 대해 제시한다. 최근 여러 분야에서 인공지능의 기술을 사용하면서 예술 분야에도 이러한 시도가 접목되고 있다. 또한 과학의 발달로 생체모방 기술이나 인공생명 기술이 발달하면서 기계와 인간의 구분이 모호해지고 있다. 본 논문에서는 이러한 기계 생명의 은유를 담고 있는 예술 작품 사례를 제시하고, 본 작품에서 차별적으로 구현된 대화 시스템에 대해 상세히 부각한다. 본 작품에서는 로봇이 관객과의 자연스러운 소통을 위해 관객을 인식하여 바라보고 눈을 맞추며, 관객의 음성을 직접 인식하고 이에 따른 적절한 응답을 음성 합성으로 출력한다. 본 작품의 대화 시스템은 작품 내에 내장된 안드로이드 클라이언트와 질문-대답 사전을 내장한 서버로 구성된 질의응답시스템으로 구현되었다. 본 작품은 이러한 인터랙션을 통해 넓은 의미에서의 생명에 대한 의미를 논하며 관객과의 공감을 이끌어낸다. 본 논문에서는 작품의 기계적 구조와 대화 시스템 등의 제작 방법 및 관객 반응을 살펴봄으로써 인공지능 예술 작품의 제작 및 전시 기획에 기여하고자 한다.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1347-1356
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• 2017

Artificial intelligence-based services are expanding into a new industrial revolution. There is artificial intelligence technology applied in real life due to the development of big data and deep learning related technology. And data analysis and intelligent assistant services that integrate information from various fields have also been commercialized. Chatbot with interactive artificial intelligence provide shopping, news or information. Chatbot service, which has begun to be adopted by some public institutions, is now just a first step in the steps. This study summarizes the services and technical analysis of chatbot. and the direction of public administration service chatbot was presented.

• Journal of Smart Tourism
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• 제3권1호
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• pp.41-47
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• 2023

Tourism and hospitality have encountered significant changes in recent years as a result of the rapid development of information technology (IT). Customers now expect more expedient services and customized travel experiences, which has intensified competition among service providers. To meet these demands, businesses have adopted sophisticated IT applications such as ChatGPT, which enables real-time interaction with consumers and provides recommendations based on their preferences. This paper focuses on the AI support-prompt middleware system, which functions as a mediator between generative AI and human users, and discusses two operational rules associated with it. The first rule is the Information Processing Rule, which requires the middleware system to determine appropriate responses based on the context of the conversation using techniques for natural language processing. The second rule is the Information Presentation Rule, which requires the middleware system to choose an appropriate language style and conversational attitude based on the gravity of the topic or the conversational context. These rules are essential for guaranteeing that the middleware system can fathom user intent and respond appropriately in various conversational contexts. This study contributes to the planning and analysis of service design by deriving design rules for middleware systems to incorporate artificial intelligence into tourism services. By comprehending the operation of AI support-prompt middleware systems, service providers can design more effective and efficient AI-driven tourism services, thereby improving the customer experience and obtaining a market advantage.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.186-191
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• 2023

This study would investigate the generative AIs currently in service in the era of hyperscale AIs and explore measures for the use of generative AIs, focusing on 'ChatGPT,' which has received attention as a leader of generative AIs. Among the various generative AIs, this study selected ChatGPT, which has rich application cases to conduct research, investigation, and use. This study investigated the concept, learning principle, and features of ChatGPT, identified the algorithm of conversational AI as one of the specific cases and checked how it is used. In addition, by comparing various cases of the application of conversational AIs such as Google's Bard and MS's NewBing, this study sought efficient ways to utilize them through the collected cases and conducted research on the limitations of conversational AI and precautions for its use. If connected to city-related databases, it can provide information on city infrastructure, transportation systems, and public services, so residents can easily get the information they need. We want to apply this research to enrich the lives of our citizens.

• Journal of Information Technology Applications and Management
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• 제30권4호
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• pp.11-28
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• 2023

This paper proposes a method of integrating ChatGPT with traditional chatbot systems to enhance conversational artificial intelligence(AI) and create more efficient conversational systems. Traditional chatbot systems are primarily based on classification models and are limited to intent classification and simple response generation. In contrast, ChatGPT is a state-of-the-art AI technology for natural language generation, which can generate more natural and fluent conversations. In this paper, we analyze the business service areas that can be integrated with ChatGPT and traditional chatbots, and present methods for conducting conversational scenarios through case studies of service types. Additionally, we suggest ways to integrate ChatGPT with traditional chatbot systems for intent recognition, conversation flow control, and response generation. We provide a practical implementation example of how to integrate ChatGPT with traditional chatbots, making it easier to understand and build integration methods and actively utilize ChatGPT with existing chatbots.

• 전자통신동향분석
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• 제38권5호
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• pp.1-11
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• 2023

The emergence of generative hyperscale artificial intelligence (AI) has enabled new services, such as image-generating AI and conversational AI based on large language models. Such services likely lead to the influx of numerous users, who cannot be handled using conventional AI models. Furthermore, the exponential increase in training data, computations, and high user demand of AI models has led to intensive hardware resource consumption, highlighting the need to develop domain-specific semiconductors for hyperscale AI. In this technical report, we describe development trends in technologies for hyperscale AI processors pursued by domestic and foreign semiconductor companies, such as NVIDIA, Graphcore, Tesla, Google, Meta, SAPEON, FuriosaAI, and Rebellions.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.815-818
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• 2021

현재 대부분의 패션 추천시스템은 프로필 또는 설문조사를 통해 수집 된 사용자의 정적 정보를 활용하고 있다. 사용자의 정적 정보는 매우 한정적이며 이를 활용하여 다양한 환경에 적합한 패션 코디셋을 추천하기란 매우 어렵다. AI코디네이터와 사용자간의 지속적인 대화가 담긴 대화질의 데이터셋을 사용하면 사용자의 상황과 환경을 고려하여 개인에게 최적화 된 패션 코디셋을 추천할 수 있다. 본 논문에서는 한국전자통신연구원(ETRI)에서 제공하는 AI 패션 코디네이터와 사용자의 대화 정보가 담긴 FASCODE 데이터셋을 사용하여 사용자의 발화에 따라 의상을 추천하는 인공지능 모델을 위한 대화질의 데이터 전처리 방법을 제안한다.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.702-736
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• 2023

Artificial Intelligence (AI) and the technologies powered by AI fuel the fourth industrial revolution. Being the primary adopter of such innovations, banking has recently started using the most common AI-based technology, i.e., conversational agents. Although research extensively focuses on this niche area and provides bibliometric understanding for such agents in other industries, a similar review with scientometric insights of the banking literature concerning AI conversational agents is absent till date. Furthermore, in the era following the pandemic, banks are faced with the imperative to provide solutions that align with the changing landscape of remote consumer behavior. As a result, banks are proactively integrating technology-driven solutions, such as automated agents, to effectively address the growing demand for remote customer support. Hence more research is needed to perfect such agents. In order to bridge these existing gaps, the present study undertook a comprehensive examination of two decades' worth of banking literature. A meticulous review was conducted, analyzing approximately 116 papers published from 2003 to 2023. The aim was to provide a scientometric overview of the topic, catering to the research needs of both academic and industrial professionals. Holistically, the study seeks to present a macro-view about the existing trends in AI based banking conversational agents' literature while focusing on quantity, qualitative and structural indicators that are effectively necessary to offer new directions for the AI-based banking solutions. Our study, therefore, presents insights surrounding the literature, using selected techniques related to performance analysis and science mapping.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2049-2068
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• 2021

AI combined with NLP techniques has promoted the use of Virtual Assistants and have made people rely on them for many diverse uses. Conversational Agents are the most promising technique that assists computer users through their operation. An important challenge in developing Conversational Agents globally is transferring the groundbreaking expertise obtained in English to other languages. AI is making it possible to transfer this learning. There is a dire need to develop systems that understand secular languages. One such difficult language is Hindi, which is the fourth most spoken language in the world. Semantic similarity is an important part of Natural Language Processing, which involves applications such as ontology learning and information extraction, for developing conversational agents. Most of the research is concentrated on English and other European languages. This paper presents a Corpus-based word semantic similarity measure for Hindi. An experiment involving the translation of the English benchmark dataset to Hindi is performed, investigating the incorporation of the corpus, with human and machine similarity ratings. A significant correlation to the human intuition and the algorithm ratings has been calculated for analyzing the accuracy of the proposed similarity measures. The method can be adapted in various applications of word semantic similarity or module for any other language.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권1호
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• pp.41-50
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• 2023

최근에 인공지능 기술발전과 더불어 코로나19 바이러스(COVID-19)가 장기화되면서 비대면 사회가 일상화되었고, 많은 기업들은 이에 대응하기 위한 디지털 트랜스포메이션과 인공지능 도입의 활성화를 촉진시키고 있으며 챗봇의 수요가 급격히 늘어났다. 또한 챗봇은 기존의 단순문의 대응에서 업무 트랜잭션 처리를 하기에 이르렀다. 하지만 기존 시스템과 연계를 위해 API를 개발해야하고 연계 하는데 많은 어려움이 발생하고 있어, 이를 해결하기 위해 RPA연계를 통한 하이브리드 챗봇을 구축하는 것이 점점 중요해지고 있으며, 최근 RPA와 챗봇의 결합이 많은 비즈니스 프로세스를 처리하는 효과적인 도구로 간주되고 있다. 그러나 연계사례 부족과 구축 방법을 찾아보기 힘들어 많은 어려움을 겪고 있다. 본 연구에서는 기존 선행연구 고찰과 하이퍼오토메이션 관점에서 Conversational UX인 챗봇과 Task Automation의 RPA를 연계한 하이브리드 챗봇 구축을 위한 방법을 실제 구현사례를 바탕으로 제시하여, 보다 쉽게 연계방법을 이해하고 구축할 수 있도록 하여 디지털 트랜스포메이션에 적극적으로 AI 챗봇을 활용할 수 있도록 하는데 시사점이 있다.