• Title/Summary/Keyword: CHAT

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Designing and Implementing AI Chat-bot System for Small-business Owner (중소상인을 위한 AI 챗봇 플랫폼의 설계 및 구현)

  • Lee, Dae-Kun;Na, Seung-Yoo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.3
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    • pp.561-570
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    • 2018
  • Artificial Intelligence is one of the technologies that are being discussed in the Fourth Industrial Revolution, attracting the attention from companies around the world and this technology is being applied to various industries such as education, finance, automobile, etc. AI integrated ChatBot is a system designed to respond to user questions according to defined response rules. This system is gradually expanded from simple inquiry responses for intelligent virtual assistant service, weather, traffic, schedule, etc. to service provisions through user pattern analysis, to solidify its position as a life-style service. As a result, research on AI integrated ChatBot platform has become necessary. Therefore, this study suggests the design and implementation of an intelligent chatbot service platform for small businesses.

A Study on the Influencing Factors of Sustainable Use Intention & Addiction of Social Media WeChat (소셜미디어 위챗의 지속 이용의도와 중독의 영향요인 연구)

  • Qiang, YaLi;Bae, Seung-Ju;Kwon, Mahn-Woo;Lee, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.12
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    • pp.245-255
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    • 2021
  • This study is an empirical study on how factors such as social factor, entertainment factor on the Wechat social media platform affect users' flow and addiction to use. Researchers thought that despite the increasing addiction of social media Wechat users, existing social media research is limited to service quality and satisfaction, so research on user flow and addiction is necessary. Therefore, the researchers try to through empirical analysis, the WeChat use to addiction path to social factor (social interactivity, payable) and entertainment factor (entertainment, life relevance), examine how WeChat user experience affects the use intention and satisfaction, and determine its role in the user's WeChat addiction and flow, and tested. The results of this study are expected to provide a new theoretical basis for future research on addiction use of social media.

A Study on the Effects of Public Library SNS Marketing: Using WeChat Official Accounts in Chinese Public Libraries (공공도서관 SNS 마케팅 효과 연구: 중국 공공도서관에서 위챗 공식계정을 이용하여)

  • Cheng, Shuangling;Kim, Giyeong
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.133-163
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    • 2022
  • This study aims to analyze the effect of marketing using Chinese public library WeChat official accounts on the perception of the library and loyalty. For this purpose, research possibilities were explored, and a questionnaire was developed through in-depth interviews with users who subscribed to the Chinese public library WeChat official accounts and those who did not. A survey was conducted with the questionnaire for public library users in six regions of China. As a result, it was confirmed that the characteristics of the official account operation had a positive effect on the perception of the libraries and users' loyalty. This study is meaningful in that it verified how Chinese public library marketing using SNS affected users' purpose on the use of libraries, perception of libraries, and users' loyalty, and suggested how to deal with WeChat official accounts among SNS types.

High-Quality Multimodal Dataset Construction Methodology for ChatGPT-Based Korean Vision-Language Pre-training (ChatGPT 기반 한국어 Vision-Language Pre-training을 위한 고품질 멀티모달 데이터셋 구축 방법론)

  • Jin Seong;Seung-heon Han;Jong-hun Shin;Soo-jong Lim;Oh-woog Kwon
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.603-608
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    • 2023
  • 본 연구는 한국어 Vision-Language Pre-training 모델 학습을 위한 대규모 시각-언어 멀티모달 데이터셋 구축에 대한 필요성을 연구한다. 현재, 한국어 시각-언어 멀티모달 데이터셋은 부족하며, 양질의 데이터 획득이 어려운 상황이다. 따라서, 본 연구에서는 기계 번역을 활용하여 외국어(영문) 시각-언어 데이터를 한국어로 번역하고 이를 기반으로 생성형 AI를 활용한 데이터셋 구축 방법론을 제안한다. 우리는 다양한 캡션 생성 방법 중, ChatGPT를 활용하여 자연스럽고 고품질의 한국어 캡션을 자동으로 생성하기 위한 새로운 방법을 제안한다. 이를 통해 기존의 기계 번역 방법보다 더 나은 캡션 품질을 보장할 수 있으며, 여러가지 번역 결과를 앙상블하여 멀티모달 데이터셋을 효과적으로 구축하는데 활용한다. 뿐만 아니라, 본 연구에서는 의미론적 유사도 기반 평가 방식인 캡션 투영 일치도(Caption Projection Consistency) 소개하고, 다양한 번역 시스템 간의 영-한 캡션 투영 성능을 비교하며 이를 평가하는 기준을 제시한다. 최종적으로, 본 연구는 ChatGPT를 이용한 한국어 멀티모달 이미지-텍스트 멀티모달 데이터셋 구축을 위한 새로운 방법론을 제시하며, 대표적인 기계 번역기들보다 우수한 영한 캡션 투영 성능을 증명한다. 이를 통해, 우리의 연구는 부족한 High-Quality 한국어 데이터 셋을 자동으로 대량 구축할 수 있는 방향을 보여주며, 이 방법을 통해 딥러닝 기반 한국어 Vision-Language Pre-training 모델의 성능 향상에 기여할 것으로 기대한다.

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A Study on the Influence Factors of ChatGPT Intention to Use by Extended Technology Acceptance Model (기술수용모델의 확장을 통한 ChatGPT 이용의도 영향요인 탐색연구)

  • Su-Ji Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.2
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    • pp.371-382
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    • 2024
  • This study explored the factors affecting the intention to use ChatGPT for adult men and women. The results are summarized and presented based on the hypothesis as follows. First, perceived ease of use had a positive effect on perceived usefulness. Second, information reliability did not have a significant effect on perceived usefulness. Third, information quickness had a positive effect on perceived usefulness. Fourth, perceived ease of use had a positive effect on user satisfaction. Fifth, perceived usefulness had a positive effect on user satisfaction. Sixth, information reliability did not have a significant effect on user satisfaction. Seventh, information quickness had a positive effect on user satisfaction. Eighth, user satisfaction had a positive effect on the intention to use.

An Exploratory Study on Developing the AI Essay Test Tool based on ChatGPT: Focusing on the Interaction with the Engineer (ChatGPT를 활용한 AI 글쓰기 의사소통 역량 평가도구 개발 과정에 대한 연구: 기술 전문가와의 상호소통을 중심으로)

  • So-Young Park;ByungYoon Lee;Yujung Hong
    • Journal of Practical Engineering Education
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    • v.16 no.1_spc
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    • pp.21-31
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    • 2024
  • This study focused on the development of an AI essay tool for assessing writing-communication competence using ChatGPT. During the development process, the interaction between content expert and technical expert was emphasized to explore the fusion of IT and humanities and social sciences. Through close communication and interaction between the content and technical experts, they incorporated scoring criteria for writing-communication competence and developed an AI essay test tool that provides scores and feedback in the appropriateness of content, effectiveness of organization, and accuracy of grammar. This process revealed how content and technology combine and presented considerations for future fusion researchers, including technical experts in generative AI assessment tools.

Brain MRI Findings of the Cri-Du-Chat Syndrome: A Case Report and Summary (묘성증후군 환아의 뇌 자기공명영상 소견: 증례 보고 및 정리)

  • Jin Sol Choi;Eun Ae Yoo;Jin Ok Choi;Soo Jung Kim
    • Journal of the Korean Society of Radiology
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    • v.81 no.4
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    • pp.979-984
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    • 2020
  • Cri-du-chat syndrome is a rare genetic disorder in which the patient presents with a characteristic high-pitched monotonous cry and recurrent aspiration pneumonia, attributed to abnormalities in the larynx, epiglottis, and nervous system. The most prominent brain MRI findings are the presence of pontine and cerebellar hypoplasia, which primarily involve posterior cranial fossa structures. Although atrophy of supratentorial structures were also a common radiological finding, it was considered to be a secondary change due to pontine hypoplasia. Here, we present the case of a three-month-old patient presenting with cri-du-chat at our institution. The patient also showed the presence of prominent pontine hypoplasia similar to previously reported cases; however, contrary to other cases, there was a general delayed myelination of brain instead of decreased myelination of anterior limb of internal capsule. Since the larynx, pons, and cerebellum all originated from similar notochord level, which suggests anomaly in early stage of development, laryngeal, and brain anomaly characteristically observed in the cridu-chat syndrome.

A Study on Expression of NPC Colloquial Speech using Chat-GPT API in Games against Joseon Dynasty Settings (조선시대 배경의 게임에서 Chat-GPT API를 사용한 NPC 대화체 표현 연구)

  • Jin-Seok Lee;In-Chal Choi;Jung-Yi Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.157-162
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    • 2024
  • This study was conducted to implement Joseon Dynasty conversational style using the ChatGPT API to enhance the immersion of games set in the Joseon era. The research focuses on interactions between middle-class players and other classes. Two methods were employed: learning the dialogues from historical dramas set in the Joseon Dynasty and learning the sentence endings typical of the period. The method of learning sentence endings was rated higher based on self-evaluation criteria. Reflecting this, prompts were constructed to represent NPC dialogues in the game settings of the Joseon era. Additionally, a method was proposed for creating various NPC prompts using prompt combination techniques. This study can serve as a reference for NPC dialogue creation in games set in the Joseon Dynasty.

Use of ChatGPT in college mathematics education (대학수학교육에서의 챗GPT 활용과 사례)

  • Sang-Gu Lee;Doyoung Park;Jae Yoon Lee;Dong Sun Lim;Jae Hwa Lee
    • The Mathematical Education
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    • v.63 no.2
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    • pp.123-138
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    • 2024
  • This study described the utilization of ChatGPT in teaching and students' learning processes for the course "Introductory Mathematics for Artificial Intelligence (Math4AI)" at 'S' University. We developed a customized ChatGPT and presented a learning model in which students supplement their knowledge of the topic at hand by utilizing this model. More specifically, first, students learn the concepts and questions of the course textbook by themselves. Then, for any question they are unsure of, students may submit any questions (keywords or open problem numbers from the textbook) to our own ChatGPT at https://math4ai.solgitmath.com/ to get help. Notably, we optimized ChatGPT and minimized inaccurate information by fully utilizing various types of data related to the subject, such as textbooks, labs, discussion records, and codes at http://matrix.skku.ac.kr/Math4AI-ChatGPT/. In this model, when students have questions while studying the textbook by themselves, they can ask mathematical concepts, keywords, theorems, examples, and problems in natural language through the ChatGPT interface. Our customized ChatGPT then provides the relevant terms, concepts, and sample answers based on previous students' discussions and/or samples of Python or R code that have been used in the discussion. Furthermore, by providing students with real-time, optimized advice based on their level, we can provide personalized education not only for the Math4AI course, but also for any other courses in college math education. The present study, which incorporates our ChatGPT model into the teaching and learning process in the course, shows promising applicability of AI technology to other college math courses (for instance, calculus, linear algebra, discrete mathematics, engineering mathematics, and basic statistics) and in K-12 math education as well as the Lifespan Learning and Continuing Education.

Difficult intubation caused by an immature upper airway in a patient with cri-du-chat syndrome: a case report

  • So, Eunsun;Kim, Seungoh
    • Journal of Dental Anesthesia and Pain Medicine
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    • v.20 no.1
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    • pp.49-53
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    • 2020
  • Cri-du-chat syndrome (CdCS) is caused by the deletion of the short arm of chromosome 5. Most patients with CdCS develop intellectual disabilities. Therefore, they have poor oral hygiene and a high caries index. However, treating such patients is not an easy task, because of the difficulty in communication. General anesthesia may be a useful option in adult patients with CdCS and intellectual disability. General anesthesia should be administered very carefully, owing to the presence of comorbid diseases, which may need airway management. Infants with CdCS need general anesthesia if they have a concomitant cardiac anomaly. Intubation is reportedly difficult for such patients was, owing to the structural and functional abnormalities in the larynx and vocal cords. The purpose of this study was to report a case of difficult intubation while inducing general anesthesia in a patient with CdCS during dental treatment, due to a narrow larynx and trachea.