• Title/Summary/Keyword: chat application

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Design and Implementation of a Chat Application for Ad-hoc Groups (Ad-hoc 그룹을 위한 채팅 응용 프로그램 설계 및 구현)

  • Qu, JiaJie;Choi, Jongmyung
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.351-352
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    • 2018
  • With the rise of the Internet era, instant messaging is playing an increasingly important role in the entire Internet market. Nowadays, most of chat softwares on the market are designed for chatting with friends. Before joining a group chat, we must be invited by your friends. On certain occasions, it is very troublesome to invite lots of people quickly if people want to build a group chat temporarily. Therefore I developed a chat application for ad-hoc groups to solve the problem. Ad-hoc groups can be used for some specific occasions for example some large meetings and gatherings. People can create a group at any time any where and other people can join the group chat fast. People that include friends and strangers all can join a group chat by scanning the QR code without adding anyone as friends.

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The WeChat Mini Program for Smart Tourism

  • Ao Cheng;Gang Ren;Taeho Hong;Chulmo Koo
    • Asia pacific journal of information systems
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    • v.29 no.3
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    • pp.489-502
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    • 2019
  • The WeChat mini program is an application embedded in WeChat that users can use without downloading and installing. After it was officially released in 2017, many travel enterprises have launched their own mini programs on the WeChat platform. This study applies affordance theory to investigate the WeChat mini program's role in tourism activities through social network analysis using the R programming language. The authors searched the topic of "how do you perceive the travel-related WeChat mini program" and then crawled the 200 comments found; 180 comments were analyzed after data cleansing. The results show that travel-related WeChat mini programs play a very important role in Chinese social network tourism activities. This paper found that WeChat played a more active role in various tourism-related interactions with Chinese social networks. Moreover, the results show how affordance theory is applied to the use of WeChat mini programs.

A Study on the Recognition of Teacher Librarians on the Introduction of ChatGPT in School Library (학교도서관에서의 ChatGPT 도입에 대한 사서교사 인식에 관한 연구)

  • Ji Soo Kim;Su Jung Kang;Sun Young Kwon
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.2
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    • pp.349-377
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    • 2023
  • With the recent advancements in artificial intelligence, the emergence of ChatGPT is expected to bring significant changes to various industries. In particular, there are active attempts to introduce ChatGPT in the education sector, and for librarians, utilizing ChatGPT is seen as an essential element for future learning tools. Against this background, this study aimed to examine librarians' perceptions of introducing ChatGPT in the school library through Focus Group Interviews (FGI). As a result, six themes were derived, including differences in perceptions of ChatGPT application in school libraries, teaching and learning activities utilizing ChatGPT, practical operation of ChatGPT, considerations for successful performance, librarians' required competencies and environment (infrastructure), and the development direction of ChatGPT utilization services in school libraries. Based on these findings, implications for the necessity of educational services utilizing ChatGPT were proposed. This study is significant as the first attempt to introduce ChatGPT in the school library field.

A Study on the Understanding and Effective Use of Generative Artificial Intelligence

  • Ju Hyun Jeon
    • International journal of advanced smart convergence
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    • v.12 no.3
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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.

Research On The Influence of We-Chat Applet On Improving User Experience

  • Liao, Kai;Wang, Junlin
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.221-227
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    • 2021
  • Since there are almost no scales for measuring the size of We-Chat applets, and most of the existing We-Chat applets are grafted through the original APP application, At present, the application scope of We-chat applets which is mainly in /shopping/life/food application. Thus, the purpose of this research is to focus on the iPhone app store, collect data on the top five of APP-STORE through users' comments and The high-frequency words will be obtained for statistics, and the variables of this study will be set up. Last, develop relevant Empirical research on the size and measurement scale of the We-Chat applet. Therefore, how to use We-Chat applets to improve user experience, we can create their own user private domain traffic for We-Chat applets and achieve long-term market competitiveness.

A Study on the ChatGPT: Focused on the News Big Data Service and ChatGPT Use Cases (ChatGPT에 관한 연구: 뉴스 빅데이터 서비스와 ChatGPT 활용 사례를 중심으로)

  • Lee Yunhee;Kim Chang-Sik;Ahn Hyunchul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.139-151
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    • 2023
  • This study aims to gain insights into ChatGPT, which has recently received significant attention. The study utilized a mixed method involving case studies and news big data analysis. ChatGPT can be described as an optimized language model for dialogue. The question arises whether ChatGPT will replace Google search services, posing a potential threat to Google. It could hurt Google's advertising business, which is the foundation of its profits. With AI-based chatbots like ChatGPT likely to disrupt the web search industry, Google is establishing a new AI strategy. The study used the BIG KINDS service and analyzed 2,136 articles over six months, from August 23, 2022, to February 22, 2023. Thirty of these articles were written in 2022, while 2,106 have been reported recently as of February 22, 2023. Also, the study examined the contents of ChatGPT by utilizing literature research, news big data analysis, and use cases. Despite limitations such as the potential for false information, analyzing news big data and use cases suggests that ChatGPT is worth using.

Exploring the Potential of ChatGPT in Advertising Photography: A Case Study and Validity Research on Elements in Each Production Stage (광고사진 제작에서 ChatGPT의 활용 가능성 탐색: 사례 분석 및 제작 단계별 요소의 타당성 연구)

  • Yan-Song Zhang;Yoo-Jin Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.205-211
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    • 2023
  • In this study, we analyzed the potential application and validity of ChatGPT, an artificial intelligence technology currently gaining attention across various fields, for the creation of advertising photographs. To do this, we examined the relationship between the visual elements of advertising photographs and language, and investigated use cases of ChatGPT in advertising. Furthermore, we analyzed the elements of each stage in the advertising photograph creation process and conducted expert interviews to determine the validity of ChatGPT's application in these stages. The results revealed that, although somewhat limited, the feasibility of using ChatGPT was found to be high in the planning stage of advertising photographs, but lower in the actual shooting and post-production stages. Considering these findings, it is necessary to continuously monitor the progress of AI technology and strive to enhance the creativity and efficiency of advertising photograph production through collaboration between technology and humans.

Analysis of ChatGPT's Coding Capabilities in Foundational Programming Courses (기초 프로그래밍 과목에서의 ChatGPT의 코딩 역량 분석)

  • Nah, Jae-Ho
    • Journal of Engineering Education Research
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    • v.26 no.6
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    • pp.71-78
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    • 2023
  • ChatGPT significantly broadens the application of artificial intelligence (AI) services across various domains, with one of its primary functions being assistance in programming and coding. Nevertheless, due to the short history of ChatGPT, there have been few studies analyzing its coding capabilities in Korean higher education. In this paper, we evaluate it using exam questions from three foundational programming courses at S University. According to the experimental results, ChatGPT successfully generated Python, C, and JAVA programs, and the code quality is on par with that of high-achieving students. The powerful coding capabilities of ChatGPT imply the need for a strict prohibition of its usage in coding tests; however, it also suggests significant potential for enhancing practical exercises in the educational aspect.

Special Topic: The Impact of ChatGPT in Society, Business, and Academia

  • Kyoung Jun Lee;Taeho Hong;Hyunchul Ahn;Taekyung Kim;Chulmo Koo
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.957-976
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    • 2023
  • ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

Artifacts Analysis of Users Behavior in Korea Random Chat Application (국내 랜덤 챗 어플리케이션에서 사용자의 행위에 따른 아티팩트 분석)

  • Seo, Seunghee;Nam, Gihoon;Kim, Yeog;Lee, Changhoon
    • Journal of Digital Forensics
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    • v.12 no.3
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    • pp.1-8
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    • 2018
  • A random chat application is a type of social dating application that helps people find a lover or spouse by randomly connecting and providing services such as text, voice and video chat. Recently, there has been globally a rapid increase in its use due to the fact that it provides people to quick and convenient encounters at low cost. However, it is used as one of method to prostitute or to trade drugs and become a cause of violent crimes due to various criminal occurring after actual meeting between app users. For this reason, a random chat application is likely to provide proof of prostitution or drug trade and clues to arrest rape, kidnapping and murder suspects. Thus, it is necessary to analyse random chat applications from the viewpoint of digital forensics investigation, but there is no related research at all. Therefore, in this paper, we analyzed artifacts of 6 Korea random chat application's user behaviors; Ranchat, AngTalk, SsumgThing, DaTalk, EveryTalk and Sail. As a result, we found that it is remain on mobile device that time and contents of message transmission/reception, sender/receiver, friend profile and user account creation time when user is using the applications.