• 한국정보시스템학회지:정보시스템연구
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• 제33권1호
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• pp.1-30
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• 2024

Purpose The purpose of this study is to examine the customer experience of generative AI among office workers aged 30 to 40, investigating usability, usefulness, and affect, and understanding concerns and expectations. Design/Methodology/Approach This research used Q methodology to assess the customer experience of generative AI. Users are engaged in a problem-solving journey, and data is collected by having participants rank 36 statements based on usability, usefulness, and affect, referred to as the three goals of User Experience. Participants use a forced distribution table with a scale from -5 to +5 to indicate the subjective importance of each statement. The results identified four groups, reflecting different perspectives and attitudes toward generative AI. Findings Participants express overall comfort with generative AI, perceive AI as more knowledgeable in unfamiliar domains, but harbor doubts about AI's understanding. Disagreements emerge on AI replacing humans, the value of unique human roles, data confidentiality, fears of AI advancement, and emotional impacts. Identified four groups: Users who treat AI as a soulless assistant and are active in business use, Uncle users who want to use new technologies properly and are not afraid of technology, users who recognize the limits of AI despite its efficiency, and users who require strong verification in the future. It has the potential to guide future guidelines, ethical codes, and regulations for the appropriate use of AI. In addition, this approach lays the groundwork for future empirical analyses of generative AI.

• 전자통신동향분석
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• 제39권2호
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• pp.33-42
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• 2024

With the recent rapid development of artificial intelligence (AI) technology, its use is gradually expanding to include creative areas and building new content using generative AI solutions, reaching beyond existing data analysis and reasoning applications. Content creation using generative AI faces challenges owing to technical limitations and other aspects such as copyright compliance. Nevertheless, generative AI may increase the productivity of experts and overcome barriers to creative work by allowing users to easily express their ideas as digital content. Thus, various types of applications will continue to emerge. As images and videos can be created using text input on a prompt, generative AI allows to create and edit digital assets quickly. We present trends in generative AI technology for images, videos, three-dimensional (3D) assets and scenes, digital humans, interactive content, and interfaces. In addition, the prospects for future technological development in this field are discussed.

• 한국기록관리학회지
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• 제23권4호
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• pp.179-200
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• 2023

국내 기록관리 기관은 대체로 '1인 기록관 체제'를 따르기 때문에 방대한 양의 전자기록물을 관리할 인력과 자원이 부족한 상황이다. 이러한 실정에서 최근 각광을 받고 있는 '생성형 AI' 기술을 활용해 전자기록관리 업무 및 기록정보서비스를 자동화 및 지능화할 수 있다면, 기록관리 담당자의 업무 부담이 경감되고 이용자의 서비스 만족도를 높일 수 있을 것이다. 이에 따라 본 연구는 '생성형 AI' 기술을 기록관리 실무에 활용할 방안 제시를 목표로, 먼저 기록관리 분야의 여러 업무를 지능적으로 자동화하고자 하였던 선행연구를 살펴보았다. 이후 생성형 AI 기술의 기본 개념을 정리하고, 국내 생성형 AI 활용 사례를 조사하였다. 그다음 기록관리 분야에 생성형 AI를 적용시킬 범위를 정의하였으며, 이를 토대로 구체적인 활용 방안을 제안하였다. 특히 제안 방안에 대해서는 공개된 상용 생성형 AI 서비스를 적용한 결과를 제시하거나 타 분야의 실례를 들어 실효성을 확인하였다. 마지막으로 기록관리 분야에서 생성형 AI 기술을 활용할 시의 이점과 시사점 그리고 선결되어야 할 한계점을 제시하였다. 본 연구는 기록관리 현업에서 생성형 AI 기술을 접목할 수 있는 업무를 발굴하고, 그 업무에 맞는 실효성 있는 활용 방안을 제시하였다는 점에서 의의가 있다.

• International Journal of Advanced Culture Technology
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• 제11권3호
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• pp.225-230
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• 2023

With the development of AI technology, there is a growing discussion about Text-to-Image Generative AI. We presented a Generative AI video production method and delineated a methodology for the production of personalized AI-generated videos with the objective of broadening the landscape of the video domain. And we meticulously examined the procedural steps involved in AI-driven video production and directly implemented a video creation approach utilizing the VQGAN-CLIP model. The outcomes produced by the VQGAN-CLIP model exhibited a relatively moderate resolution and frame rate, and predominantly manifested as abstract images. Such characteristics indicated potential applicability in OTT-based video content or the realm of visual arts. It is anticipated that AI-driven video production techniques will see heightened utilization in forthcoming endeavors.

• 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 Korea Artificial Intelligence Association
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• 제1권1호
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• pp.7-10
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• 2023

This study proposes an AI-based shoe recommendation model based on user clothing image data to solve the problem of the global fashion industry, which is worsening due to factors such as the economic downturn. Shoes are an important part of modern fashion, and this research aims to improve user satisfaction and contribute to economic growth through a generative AI-based shoe recommendation service. By utilizing generative AI in the personalized consumer market, we show the feasibility, efficiency, and improvements through an accessible web-based implementation. In conclusion, this study provides insights to help fulfill consumer needs in the ever-changing fashion market by implementing a generative AI-based shoe recommendation model.

• 한국IT서비스학회지
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• 제22권6호
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• pp.17-35
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• 2023

This study investigated how helpful the use of generative AI such as ChatGPT is in conducting engaged learning at each university. In this study, based on the experiences of users using generative AI technology, we analyzed the relationship between usability and ease in consideration of the characteristics of learners, and examined whether there is an intention to continue using generative AI technology in the future. In this study, in order to verify the factors affecting the intention to use ChatGPT technology in order to solve the problems given in the participating classes, we examined previous papers based on the Technology Acceptance Model (TAM) and the Information System Success Model (IS), extracted the factors affecting the intention of ChatGPT technology, and presented the research model and hypothesis. Empirical research on the continuous use of generative AI in participatory learning using ChatGPT was conducted to determine whether it is suitable for long-term and continuous use in the educational environment, and whether it is sustainable by examining the intention of learners to continue using it. First, user satisfaction was positively related to the intention to continue using generative AI technology. Second, if the user experience has a great influence on the intention to continue using ChatGPT technology, and users gain experiences such as usefulness, interest, and effective response in the process of using the technology, the evaluation of the technology is positively formed and the intention to continue using it is high. Third, the ease of use of the technology also showed that it was intended to be used continuously when an environment was provided in which users could easily and conveniently utilize generative AI technology.

• International journal of advanced smart convergence
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• 제12권3호
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• pp.175-185
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• 2023

As the era of ChatGPT and generative AI technologies unfolds, the marketing industry stands on the precipice of a paradigm shift. Innovations such as GPT-4, DALL-E 2, and Mid-journey Stable Diffusion possess the capacity to dramatically transform the methods by which advertisers reach and engage with customers. The potential applications of these advanced tools herald a new age for the marketing and advertising sectors, offering unprecedented opportunities for growth and optimization. Nevertheless, the rapid adoption of generative AI within these industries presents a unique set of challenges, particularly for organizations that lack the necessary technological infrastructure and human capital to effectively leverage these innovations. As a result, a competitive crisis may emerge, exacerbating existing disparities between well-equipped enterprises and their less technologically adept counterparts. In this article, we undertake a comprehensive exploration of the implications of generative AI for the future of marketing, examining both its potential benefits and drawbacks. We consider the possible impact of these developments on the advertising and marketing industries at large, as well as the ways in which professionals operating within these fields may need to adapt to remain competitive in an increasingly AI-driven landscape. By providing a holistic overview of the challenges and opportunities associated with generative AI, this study aims to elucidate the complex dynamics at play in the ongoing evolution of the marketing and advertising sectors.

• 문화기술의 융합
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• 제10권2호
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• pp.471-485
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• 2024

본 연구는 린 스타트업 환경 내에서 생성형 AI를 활용한 심층 인터뷰의 효율적인 활용 방안을 탐구한다. 최근 기술적 진보에 따라 다양한 조직에서 생성형 AI를 활용하여 업무 생산성을 증진시키는 사례가 증가하고 있으며, 이는 린 스타트업 환경에서도 적용되고 있다. 본 연구는 린 스타트업에서 비교적 부족한 시간과 한정된 자본내에서도 실무자들이 AI를 활용하여 심층 인터뷰를 수행할 수 있도록 돕기 위해 구체적인 가이드라인과 가이드북을 개발했다. 제안된 가이드북은 실무자들이 신속하게 인터뷰를 설계하고 진행할 수 있도록 지원함으로써, 린 스타트업의 민첩하고 유연한 작업 환경을 촉진하는 것을 목표로 한다. 본 연구는 또한 ChatGPT 4, 뤼튼 등과 같은 텍스트 기반 생성형 AI 서비스를 디자인 및 인터뷰 분야에 활용하는 실무적 방법을 탐구하며, 이를 통해 학술적 논의와 실무적 적용의 기여를 하는 데에 의의가 있다.

• 국제초고층학회논문집
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• 제12권3호
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• pp.203-208
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• 2023

The implementation of artificial intelligence (AI) design for tall building structures is an essential solution for addressing critical challenges in the current structural design industry. Generative AI technology is a crucial technical aid because it can acquire knowledge of design principles from multiple sources, such as architectural and structural design data, empirical knowledge, and mechanical principles. This paper presents a set of AI design techniques for building structures based on two types of generative AI: generative adversarial networks and graph neural networks. Specifically, these techniques effectively master the design of vertical and horizontal component layouts as well as the cross-sectional size of components in reinforced concrete shear walls and frame structures of tall buildings. Consequently, these approaches enable the development of high-quality and high-efficiency AI designs for building structures.