• Journal of Communications and Networks
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• v.17 no.2
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• pp.118-125
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• 2015

In this paper, we propose a method to reduce mobile social network services (SNSs) traffic using a mobile integrated SNS gateway (MISG) to improve network communication performance between the mobile client and SNS servers. The gateway connects the client and SNS servers using the contents adapter and the web service adapter and helps to improve communication performance using its cache engine. An integrated SNS application, the user's client, communicates with the gateway server using integrated SNS protocol. In addition, the gateway can alert the client to new SNS contents because of the broker server implemented by the message queuing telemetry transport protocol. We design and develop the modules of the gateway server and the integrated SNS application. We then measure the performance of MISG in terms of content response time and describe the result of the experiment.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.21-43
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• 2008

This paper develops the research model for the understanding of learner's usage intention in web based collaborative learning(WBCL) system. This model is based on the Davis' Technology Acceptance Model(TAM) and Social Interactivity Theory. Data is collected 225 University students from two different institutions. They were divided into 46 groups and asked to complete an online TOEIC preparation module using WBCL systems over 4 weeks. Data were collected at three points for each participant-before, 3 weeks after, and at the end of the online module. The result show that TAM based Belief factors(Usefulness, Ease of use, Playfulenss) are important determinants of usage intention in WBCL systems. The study also found the external factors of the extended TAM to be subjective norm, leader's enthusiasm in WBCL context.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.378-384
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• 2023

In this study, we explore social awareness, interest, and acceptance of generative AI, including chatGPT, which has revolutionized web search, 30 years after web search was released. For this purpose, we performed a machine learning-based topic modeling analysis based on Korean news big data collected from November 30, 2022, when chatGPT was released, to August 31, 2023. As a result of our research, we have identified seven topics related to chatGPT and generative AI; (1)growth of the high-performance hardware market, (2)service contents using generative AI, (3)technology development competition, (4)human resource development, (5)instructions for use, (6)revitalizing the domestic ecosystem, (7)expectations and concerns. We also explored monthly frequency changes in topics to explore social interest related to chatGPT and Generative AI. Based on our exploration results, we discussed the high social interest and issues regarding generative AI. We expect that the results of this study can be used as a precursor to research that analyzes and predicts the diffusion of innovation in generative AI.

• Journal of Internet Computing and Services
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• v.12 no.2
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• pp.113-122
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• 2011

Social Network Service(SNS) has become a hot trend as a web service which helps users construct social relationships in the web and enables online communication. The information about user activities and behaviors obtained from the SNSs is expected to be an useful knowledge source for other services such as recommendation services. Most of previous researches on SNS rely on analyzing overall network topology and surveying the activities in a one-dimensional aspect. This paper propose a system for measuring multi-dimensional interaction through the activities in a SNS. The proposed system delivers an unified profile (consisting of profile and multi-dimension interaction) model from user-activities in Twitter.com. At the experimental section, some meaningful perspectives on a set of the unified profiles are described.

• Journal of the Korean Geographical Society
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• v.47 no.2
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• pp.268-281
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• 2012

In spite of the usefulness of migration statistics in spatially understanding social processes and identifying social effects of spatial processes, services and analyses of the statistics have been restricted due to the complexity of their data structure. In addition, flow mapping functionality which is a useful method to explore and visualize the migration statistics has yet to be fully represented in modern GIS applications. Given this, the purpose of this research is to demonstrate the possibility of flow mapping and the exploratory spatial analysis of the migration statistics in a Web GIS environment. For this, the characteristics of the statistics were examined from database, GIS, and cartographic perspectives. Then, O-D structure of the migration statistics was converted to spatial data appropriate to f low mapping based on the characteristics. The interface of Web GIS is specialized the migration statistics and provides exploratory visualization by allowing dynamic interactions such as spatial focusing and attribute filtering.

• Journal of Information Management
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• v.42 no.4
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• pp.155-174
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• 2011

This study aims to focus on classifying the search engine queries according to web query topic and the different user intents behind web queries. First, we classified 10,000 web query data set by topic. The results showed that there was significant differences in interesting topics across time. Also, we categorized 500 popular queries in web search engine as informational, navigational, or transactional. As a result, 82 percent of web queries are informational in nature, with about 10.8 percent for navigational and 7.2 percent for transactional. This results will help establish the policy to provide internet contents based on user's intent and also find out the social and cultural characteristics.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.634-639
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• 2008

사회적 컴퓨팅(social computing)의 현상이 Web 2.0 공급사슬(supply chain)의 변화관점에서 새로운 변화의 단계를 맞이하고 있다. Web 2.0 플랫폼을 어떤 형태로 기업 활동에 활용할 것인가 하는 문제제기에 대하여 다양한 기업 활동의 변화사례가 발견되고 있다. 본 논문은 그와 같은 다양한 Web 2.0 환경 확산에 대한 기업 활동의 변화현상 중에서 Web 2.0 플랫폼을 기반으로 한 신제품개발(New Product Development) 사례연구를 통하여 진행한 결과를 반영하였다. 신제품 개발을 위한 플랫폼으로서 Web 2.0 의 협업적 환경을 설계하게 될 경우, 고객의 내재적 요구사항(latent requirement)이 제품개발에 효과적으로 반영될 수 있도록 하는 절차(process)가 기존의 제품개발방법론과 연관되어, 어떤 형태로 적용되고 개선되어 발전될 수 있는가에 대한 경험적 사례를 사례연구방법의 탐험적 경향을 활용하여 살펴보았다. 본 논문에서 다루어졌던 사례는 Web 2.0 플랫폼을 기반으로 사용자 창작 콘텐츠(User Created Content)를 생산하고 증가된 연세대학교 UCC의 양적 팽창에 의해서 수익모델이 발생하는 전형적인 Web 2.0 비즈니스 모델의 구조를 보여주는 경우였다. 본 연구를 통해서 사용자의 내재적 요구사향을 Web 2.0 기술특성을 통해서 참여적 사용자, 혹은 사용자 디자이너들의 적극적인 활동에 의해서 개선 및 구현해 가는 과정을 구체적 개발방법론의 틀로서 정착하려는 시도를 하였다.

• Journal of Advanced Navigation Technology
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• v.14 no.5
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• pp.737-744
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• 2010

A Social Network Service(SNS) is the best attracting internet business model and serviced in the several countries. The Facebook is the most popular SNS in a foreign country and the Cyworld is most popular one in Korea. In this paper, after investing and analyzing the existing Social Network Services, I present a new OpenU Social Network Service based on Web 2.0 concepts. This is a next generation internet platform which can be communicated with real-time chatting and share d data and talked during seeing data by collaboration functions OpenU's main characteristics and functions by screen design and implementations are explained. And also OpenU's excellence by comparing with other SNSs system is presented.

• The Journal of Korean Association of Computer Education
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• v.15 no.2
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• pp.19-28
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• 2012

Recent popularity of smart devices and social media seem to increase much interests on social learning, Despite of positive expectation on technology-based social learning, there are not many successful cases and practices of how to apply hands-on technologies and measure educational results. In this study, we tried to promote idea-sharing among learners in a classroom using web-based peer-review of assignments on a specific topic. Then we investigated effects of idea-sharing among learners in terms of individual knowledge construction. Experimental results show that idea-sharing promotes knowledge convergence and divergence, and then knowledge construction at learner's own.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.57-69
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• 2017

Due to the development of technology even in learning and education area, many studies have begun to make a new attempts to research by using SNS, breaking away from traditional learning methods. However, the limitations of these studies are restricted only to the use of wireless Internet and writing on Web sites. This study aims to conduct a research on English learning activities that utilize various technologies such as Bigdata, Facebook, Social Network Services (SNS) and English applications. In addition, this study looks into how these modern technologies can be integrated in the classrooms and which activities can be applied in the English classroom. This research is to suggest effective English learning methods through a thorough investigation on the effectivity of various technologies based on the Web 2.0 such as Flickr, blogs, MySpace, and online discussion board within the context of the English learning. To verify the effect of the study, the subjects are divided into experimental and control group. The experiment is proceeded with pre- and post-test. The experimental group is designed to verify the effects using SNS tools such as Facebook, Bigdata, and Online Massive Learning. A survey is conducted to determine the preference of utilizing social networking sites and to analyze the effects in class. The result is that the average scores for experimental group have improved more than the average of control group. The comparison of pre and post-test of the experimental group shows that the significance of the higher and median group was statistically significant at the p<0.01.