• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.71-79
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• 2024

ChatGPT, an interactive artificial intelligence (AI) chatbot developed by Open AI in the U.S., gaining popularity with great repercussions around the world. Some academia are concerned that ChatGPT can be used by students for plagiarism, but ChatGPT is also widely used in a positive direction, such as being used to write marketing phrases or website phrases. There is also an opinion that ChatGPT could be a new future for "search," and some analysts say that the focus should be on fostering rather than excessive regulation. This study analyzed consciousness about ChatGPT for college students through a survey of their perception of ChatGPT. And, plagiarism inspection systems were prepared to establish an education support model using ChatGPT and ChatGPT. Based on this, a university education support model using ChatGPT was constructed. The education model using ChatGPT established an education model based on text, digital, and art, and then composed of detailed strategies necessary for the era of the 4th industrial revolution below it. In addition, it was configured to guide students to use ChatGPT within the permitted range by using the ChatGPT detection function provided by the plagiarism inspection system, after the instructor of the class determined the allowable range of content generated by ChatGPT according to the learning goal. By linking and utilizing ChatGPT and the plagiarism inspection system in this way, it is expected to prevent situations in which ChatGPT's excellent ability is abused in education.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.933-942
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• 2024

With the development of AI, Chat GPT, an artificial intelligence chatbot that appeared in 2022, is rapidly spreading to a wide range of people and expanding its usefulness. This study was conducted to examine college students' intention to continue using Chat GPT using a technology acceptance model. As a result of the study, all of Chat GPT's features had a positive effect on college students' perceived usefulness and perceived ease of use. However, among the features of Chat GPT, system quality and relative advantages did not directly affect the intention to continue using it. However, it was confirmed that it had an effect when perceived usefulness and perceived ease of use were mediated. The perceived usefulness and perceived ease of Chat GPT were verified to have a positive effect on the intention to continue using it.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.99-116
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• 2024

Recently, interest in ChatGPT has been increasing. This study investigated the factors influencing the satisfaction of users using ChatGPT service, a chatbot system based on artificial intelligence technology. This paper empirically analyzed causality between the four major factors of service quality, system quality, information quality, and security as independent variables and user satisfaction of ChatGPT as dependent variable. In addition, the mediating effect of reliability between the independent variables and user's satisfaction was analyzed. As a result of this research, except for information quality, among the quality factors, security and reliability had a positive causality with use satisfaction. Reliability played a mediating role between quality factors, security, and user satisfaction. However, among quality factors, the mediating effect of reliability between service quality and user's satisfaction was not significant. In conclusion, in order to increase user satisfaction with new technology-based services, it is important to create trust among users. The research results sought to emphasize the importance of user trust in establishing development and operation strategies for artificial intelligence systems, including ChatGPT.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.830-833
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• 2024

As Large Language Models (LLM) like OpenAI's ChatGPT[1] continue to grow in popularity, new applications and services are expected to emerge. This paper introduces an experimental study on a smart web-builder application assistance system that combines Computer Vision with GUI object recognition and the ChatGPT (LLM). First of all, the research strategy employed computer vision technology in conjunction with Microsoft's "ChatGPT for Robotics: Design Principles and Model Abilities"[2] design strategy. Additionally, this research explores the capabilities of Large Language Model like ChatGPT in various application design tasks, specifically in assisting with web-builder tasks. The study examines the ability of ChatGPT to synthesize code through both directed prompts and free-form conversation strategies. The researchers also explored ChatGPT's ability to perform various tasks within the builder domain, including functions and closure loop inferences, basic logical and mathematical reasoning. Overall, this research proposes an efficient way to perform various application system tasks by combining natural language commands with computer vision technology and LLM (ChatGPT). This approach allows for user interaction through natural language commands while building applications.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.113-119
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• 2024

In this paper, a model was devised to change the numerical values that affect the game balance by using Chat-GPT for game balancing. Based on the usability of Chat-GPT shown in several studies and cases using Chat-GPT, Chat-GPT is automated to directly adjust detailed and objective in-game numerical values. In this paper, the format of Chat-GPT responses was consistently adjusted so that the numerical values required for game balancing could be obtained directly from the answers. As an experimental method, it was confirmed that four players autonomously designed the game level through five rounds to adjust the balance. These studies suggest the possibility that games can be produced using Chat-GPT in the future.

• Journal of KIISE
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• v.45 no.2
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• pp.134-140
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• 2018

A chat system is a computer program that understands user's miscellaneous utterances and generates appropriate responses. Sometimes a chat system needs to answer users' simple information-seeking questions. However, previous generative chat systems do not consider how to embed knowledge entities (i.e., subjects and objects in triple knowledge), essential elements for question-answering. The previous chat models have a disadvantage that they generate same responses although knowledge entities in users' utterances are changed. To alleviate this problem, we propose a knowledge entity embedding method for improving question-answering accuracies of a generative chat system. The proposed method uses a Siamese recurrent neural network for embedding knowledge entities and their synonyms. For experiments, we implemented a sequence-to-sequence model in which subjects and predicates are encoded and objects are decoded. The proposed embedding method showed 12.48% higher accuracies than the conventional embedding method based on a convolutional neural network.

• Journal of KIBIM
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• v.14 no.2
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• pp.25-34
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• 2024

This study proposes a new methodology to increase the flexibility and efficiency of the design data evaluation system by combining Building Information Modeling (BIM) technology in the architectural industry, OpenAI's interactive artificial intelligence, and ChatGPT. BIM technology plays an important role in digitally modeling and managing architectural information. Since architectural information is included, research and development are underway to review and evaluate BIM data according to conditions through program development. However, in the process of reviewing BIM design data, if the review criteria or evaluation criteria according to design change occur frequently, it is necessary to update the program anew. In order for designers or reviewers to apply the changed criteria, requesting a program developer will delay time. This problem was studied by using ChatGPT to modify and update the design data evaluation program code in real time. In this study, it is aimed to improve the changing standards and accuracy by enabling programming non-professionals to change the design regulations and calculation standards of the BIM evaluation program system using ChatGPT. In this study, in the BIM-based design certification automation evaluation program, a program in which the automation evaluation method is being studied based on the design certification evaluation manual was first used. In the design certification automation evaluation program, the programming non-majors checked the automation evaluation code by linking ChatGPT, and the changed calculation criteria were created and modified interactively. As a result of the evaluation, the change in the calculation standard was explained to ChatGPT and the applied result was confirmed.

• Journal of Fashion Business
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• v.23 no.6
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• pp.16-26
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• 2019

The purpose of this study was to understand the effect of WeChat relational benefits on customer satisfaction and purchase intention. Due to the rapid development in the technological field, the use of WeChat has expanded drastically in recent years. In visual arts industry, WeChat business occupies a significant proportion of emerging industries. The recruited participants that were recruited via an online survey website were 335 (www.sojump.com). SPSS 22.0 statistical system was used to analyze the descriptive statistics, reliability, and validity. This study conceptualizes the positive relationship among relational benefits, customer satisfaction, and purchase intention of visual arts products. The findings indicated that WeChat users' relational benefits can be categorized into two distinct benefit types: confidence, and social benefits. The more relational benefits WeChat users perceived, the higher the level of satisfaction. In contrast, the positive influence of customer satisfaction on purchase intention is weaker in consumers with a higher level of perceived risk. The results of this study will help WeChat business to retain its customers, thus, gaining a long-term value for visual arts industry. Theoretical and managerial implication for WeChat business are provided.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.45-50
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• 2023

In software development, the elicitation and analysis of requirements is a crucial phase, and it involves considerable time and effort due to the involvement of various stakeholders. ChatGPT, having been trained on a diverse array of documents, is a large language model that possesses not only the ability to generate code and perform debugging but also the capability to be utilized in the domain of software analysis and design. This paper proposes a method of requirements engineering that leverages ChatGPT's capabilities for eliciting software requirements, analyzing them to align with system goals, and documenting them in the form of use cases. In software requirements engineering, it suggests that stakeholders, analysts, and ChatGPT should engage in a collaborative model. The process should involve using the outputs of ChatGPT as initial requirements, which are then reviewed and augmented by analysts and stakeholders. As ChatGPT's capability improves, it is anticipated that the accuracy of requirements elicitation and analysis will increase, leading to time and cost savings in the field of software requirements engineering.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.259-260
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• 2024

졸음운전으로 인한 교통사고는 매년 꾸준하게 일어나 이에 대한 다방면의 해결책이 요구되고 있다. 본 논문에서는 위 문제를 개선하고자 ChatGPT와 영상처리를 이용한 졸음 감지 시스템을 구현하였다. 이 시스템은 운전자의 얼굴 부분을 영상처리로 인식하여 눈동자의 종횡비를 구해 PERCLOS 공식에 따른 운전자의 졸음을 판별시키고, 경고와 동시에 ChatGPT가 운전자에게 특정 주제를 키워드로 TTS와 STT를 통해 대화한다. 운전자의 졸음을 판별하기 위해 임베디드 보드에서 연결된 캠을 통해 졸음 판별을 하고, ChatGPT도 마찬가지로 보드에서 연결한 스피커, 마이크를 통해 운전자와 대화한다. 이를 활용하여 운전자의 졸음 자각을 통한 안전운전 및 사고 발생률의 감소를 기대할 수 있다.