• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.6
• /
• pp.1-8
• /
• 2013

Recently, as increasing use of smartphone, the development of social network service(SNS) applications is very active because of the mobility of smartphone. In addition, as the demand of the location based service(LBS) supporting mobile information is expanded, LBS combined with SNS improves the usability of smart phones. This paper proposes the smartphone application that provides the information for SNS generated depending on the location, by tracking the user's location in real time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.114-116
• /
• 2012

According to common use of smart mobile devices, various services based on the location become to appear. Futhermore, as the number of social media users using the mobile devices grows rapidly, the needs for Social Media services based on location also increase. With proposing the method to access and analysis the location-based social media database by standard SNS API, this thesis introduces technical methods to generate and the information which users want to get and to service them by mobile in real time.

• Journal of Digital Convergence
• /
• v.17 no.2
• /
• pp.453-462
• /
• 2019

This study investigates the relationship between controllability, severity, unrealistic optimism and risk perception of risk factors related to location - based SNS services for smartphone users. For this purpose, I surveyed university students who had experience using location - based SNS service. The main results are as follows. First, controllability has a statistically significant effect on unrealistic optimism. Second, Severity had a statistically significant negative impact on unrealistic optimism. Third, Controllability did not have a statistically significant effect on risk perception, Fourth, Severity did not have a statistically significant effect on perceived risk. Fifth, Unrealistic optimism had a statistically significant negative impact on perception of risk. The results of this study will contribute to the prevention of privacy incidents and the protection of smartphone users by using location - based SNS service. On the one hand, future research will need to look at the relationship between unrealistic optimism and risk prevention or coping behavior.

• Journal of Information Technology Services
• /
• v.13 no.4
• /
• pp.205-230
• /
• 2014

In recent years, the social network service (SNS) and the location-based social network service (LBSNS) industry is expanding and the competition within the field is increasing much more. Since 2010, the full-scaled studies of SNS and LBSNS have begun. With the growth of SNS and LBSNS markets, SoLoMo (Social-Local-Mobile) is also becoming the trend for applications in different fields. However, despite the importance of SoLoMo, there have been little studies on the characteristics of SoLoMo applications. The purpose of this research is to investigate the effect of characteristics and perceived privacy risk of mobile location-based SNS on intention to use SoLoMo applications. For the purpose, we proposed a SoLoMo service acceptance model with TAM (Technology Acceptance Model) and the characteristics of SoLoMo applications. The characteristics consist of three factors, i.e. SNS, location, and mobile-related factors. This study also considered a gamification and a perceived privacy risk factor influencing on SoLoMo service usage in our proposed research model. The results of our empirical analysis using partial least squares (PLS) method show that the characteristics of SoLoMo applications including SNS, location, and mobile-related features, gamification, and perceived privacy risk have partially an effect on intention to use SoLoMo applications. Based on these results, SoLoMo-related companies will be able to increase the usage of SoLoMo services by differentiating their own strategies with these factors influencing on SoLoMo services.

• Journal of Korea Multimedia Society
• /
• v.19 no.2
• /
• pp.428-435
• /
• 2016

Hundreds of millions of new posts and information are being uploaded and propagated everyday on Online Social Networks(OSN) like Twitter, Facebook, or Instagram. This paper proposes and implements a GPS-location based SNS data mapping, analysis, and visualization system, called Smart SNS Map, which collects SNS data from Twitter and Instagram using hundreds of PlanetLab nodes distributed across the globe. Like no other previous systems, our system uniquely supports a variety of functions, including GPS-location based mapping of collected tweets and Instagram photos, keyword-based tweet or photo searching, real-time heat-map visualization of tweets and instagram photos, sentiment analysis, word cloud visualization, etc. Overall, a system like this, admittedly still in a prototype phase though, is expected to serve a role as a sort of social weather station sooner or later, which will help people understand what are happening around the SNS users, systems, society, and how they feel about them, as well as how they change over time and/or space.

• Journal of Digital Contents Society
• /
• v.12 no.3
• /
• pp.361-370
• /
• 2011

Recent popularity of the smartphone market, with the explosive growth of mobile location-based SNS(Social Network Service), is into the mainstream. SNS aims to cooperate and share information with all users, but mobile SNS is still not easy people with disabilities. In addition to using the Web, it has difficulty to provide an appropriate interface to access such as smartphone for people with disabilities. This paper will specify and analyze the context-awareness technology and SNS function, and study a variety of information that students with disabilities such as time, location and activity states including data collection and analysis of the situation by converting the status information. It has provide that students with disabilities to lead comfortable life in school according to the various types of disabilities, and school information and safety services using mobile location-based SNS.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.6
• /
• pp.133-138
• /
• 2019

Recently, SNS is one of the most prominent areas and AR is a technology in the spotlight. In this paper, AR technology is applied to SNS to provide community functions and we develop the related technologies. The system developed in this paper provides differentiated communication among users by providing community functions applying location information and AR such as displaying AR message and finding a path using AR in current location. In addition, this paper presents a method of using the existing map APIs considering their characteristics as a method to obtain map information essential for the implementation of location-based AR.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.52-53
• /
• 2013

스마트 기기와 안드로이드 플랫폼의 급속한 보급은 모바일 애플리케이션들의 개발을 촉진하고 있으며, 게임, 소셜 네트워크 서비스 (SNS), 교육 등 다양한 도메인 분야에서 애플리케이션들이 개발되고 성공적인 사례도 발표되고 있다. 이동통신 칩과 결합된 GPS 수신기가 휴대폰 및 대부분의 스마트기기에 장착됨에 따라 위치 정보에 기반한 다양한 서비스가 활용되고 있다. 본 논문에서는 위치정보와 소셜 네트워크 서비스를 결합하여 가입자간 정보 공유 및 커뮤니케이션, 검색, 위치정보 등 다양한 비즈니스에 활용될 수 있는 위치기반 SNS 앱의 설계를 제안한다.

• Journal of Digital Convergence
• /
• v.9 no.2
• /
• pp.131-140
• /
• 2011

As the recent advances in network and wireless communications and semiconductor design and process technologies, our computing platform is rapidly shifting from desktop PCs to mobile devices such as UMPC (Ultra Mobile PC), Tablet PC, and Smartphone. Especially, wide-spreading Smartphones allow a new field of application based on location based services available with an user interface called augmented reality (AR). Therefore, this paper introduces an implementation of AR using various OpenAPls on Android Smartphones. In order to utilize enrich user data in real time, the system integrates with location based social network services also with OpenAPI. These APIs enable third-party developers to make use of rich contents of many portal web sites. The prototype was implemented on the real Android phone, Sky Sirius, and the result shows that it can provide an efficient location based service using AR technology without any constraints on mobile devices; in addition, it connects SNS to AR for sharing user data including photos, videos, and messages based on a specific location.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.8
• /
• pp.301-308
• /
• 2015

SNS is a web-based online platform service supporting the formation of relations between users. SNS users have usually used a desktop or laptop for this purpose so far. However, the number of SNS users is greatly increasing and their access to the web is improving with the spread of smart phones. They share their daily lives with other users through SNSs. We can detect events if we analyze the contents that are left by SNS users, where the individual acts as a sensor. Such analyses have already been attempted by many researchers. In particular, Twitter is used in related spheres in various ways, because it has structural characteristics suitable for detecting events. However, there is a limitation concerning the detection of events and their locations. Thus, we developed a system that can detect the location immediately based on the district mentioned in Twitter. We tested whether the system can function in real time and evaluated its ability to detect events that occurred in reality. We also tried to improve its detection efficiency by removing noise.