• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.11-20
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• 2013

Recently, as SNS services have been increased, studies on recommendation schemes have been actively done. Recommendation scheme provides various favorable or needed services with users on real time. Group recommendation provides users with suitable groups based on their preference. In this paper, we propose a new group recommendation scheme considering user profiles and collaborative filtering in social networks. The proposed scheme can solve the problems of the static profile based group recommendation scheme because it collects the recent group activities and updates user profiles. It also recommends the more various groups by reflecting the similar tendencies of other users within a group through collaborative filtering. Our experimental results show that the proposed scheme recommends various groups that significantly considers the user's changing preferences compared to the existing scheme.

• Fashion & Textile Research Journal
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• v.24 no.2
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• pp.195-205
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• 2022

This study examines the image management behavior according to self-monitoring, self-objectification of profile-based SNS users. Questionnaires were administered to 313 SNS users including both men and women in their 20s to 30s. The SPSS 25.0 package was utilized for data analysis, which included frequency analysis, factor analysis, Cronbach's ?, t-test, and regression analysis. The study analyzed self-monitoring in 2 groups (high, low), self-objectification for 2 factors (body surveillance, body shame), and image management behavior for 5 factors (fashion oriented, instrumentality, conformity, ostentation, interpersonal disposition). The results revealed: first, self-monitoring groups exhibited significant differences in self-objectification. The higher self-monitoring group was more influenced by body surveillance and body shame compared to the low self-monitoring group. Second, self-objectification had a positive influence on all the factors of image management behavior. Especially, body surveillance demonstrated a high influence on instrumentality and body shame showed a high influence on ostentation. Third, the self-monitoring groups showed significant differences in all the factors of image management behavior. The higher self-monitoring group demonstrated more influence of image management behavior compared to the low self-monitoring group. These results provide useful information in understanding the influence of social media on users' psychological attitude and consciousness toward their body and image management behavior.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.24-26
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• 2012

오늘날 전 세계적으로 스마트폰 사용자가 증가하면서 SNS(Social Network Service)를 활용한 어플리케이션의 이용이 더욱 보편화 되고 있는 추세이다. 이에 따라 모바일 환경의 SNS 어플리케이션에 맞는 사용자 인터페이스에 대한 수요 역시 증가하고 있다. 따라서 본 논문에서는 SNS 어플리케이션에 적용할 수 있는 사용자에게 더 높은 몰입감과 편의성을 제공하기 위한 직관적인 3D 사용자 인터페이스를 제안한다. 제안하는 시스템은 Facebook Open API를 기반으로 소셜 네트워크 구성원의 프로필 사진을 3D 방식으로 배치하는 인터페이스 기법과 효과를 구현하며, 이를 통해 사용자의 SNS 어플리케이션 사용성을 제고한다.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.183-191
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• 2014

SNS uses the Internet as its base. It is created in order to achieve communication between the users. Up until now, most previous research were focused on the users of SNS. But, there are still a great deal of people who do not use or discontinuously use SNS. This is because users have natural resistance against SNS when using the service. In this study, time shortage perception, awareness of SNS, self-efficacy, suitability, information quality of SNS, subjective norm and privacy concern are considered as influence factors by previous research. An empirical study for Chinese students and internet users was conducted to identify how these factors influence perceived risk and perceived usefulness, and how this influence to user's resistance. This study can explain the reason why users don't use SNS and resist SNS use.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.85-110
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• 2018

A chatbot is an interactive assistant that utilizes many communication modes: voice, images, video, or text. It is an artificial intelligence-based application that responds to users' needs or solves problems during user-friendly conversation. However, the current version of the chatbot is focused on understanding and performing tasks requested by the user; its ability to generate personalized conversation suitable for relationship-building is limited. Recognizing the need to build a relationship and making suitable conversation is more important for social chatbots who require social skills similar to those of problem-solving chatbots like the intelligent personal assistant. The purpose of this study is to propose a text analysis method that evaluates relationships between chatbots and users based on content input by the user and adapted to the communication situation, enabling the chatbot to conduct suitable conversations. To evaluate the performance of this method, we examined learning and verified the results using actual SNS conversation records. The results of the analysis will aid in implementation of the social chatbot, as this method yields excellent results even when the private profile information of the user is excluded for privacy reasons.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.339-345
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• 2023

Design exists behind technology. Design is intertwined with the needs of daily life and market structures, and while dealing with technology, it can become insensitive to its meaning. Unlike other social media platforms, Instagram consists of image-based content. The purpose of this study is to examine the addictive design of Instagram. Furthermore, we discuss the ethical responsibilities that designers must have. A theoretical framework for understanding Instagram design is established through a review of major domestic and international literature that has been previously studied. Understand the history, structure, and functions of Instagram and identify Instagram designs that promote social media addiction. In this study, we introduced the mechanism by which Instagram promotes user addiction through design issues. (1) Pull-to-Refresh (2) Red color in push alarm (3) Profile photo border expression in Instagram Story. This design stimulates users' social desires and FOMO, forming the structure of obsessive Instagram usage habits. Instagram is an example that forces us to reconsider the ethical role of design and designers along with the advancement of technology. In today's world, the intrinsic value of what they create, including our society and life itself.