• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1782-1785
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• 2015

업무중심이었던 HCI가 인간의 모든 생활 접점에 존재하게 됨에 따라, 과업완료 중심의 HCI의 목표가 사용자 감성 만족, 심리적 만족 등으로 조정되고 있다. 이로 인해 다양한 사용자중심의 디자인 방법론들이 개발/제안되고 있다. 하지만 아직도 대다수의 사용자 중심 HCI관련 연구가 인간을 하나의 도구적 프로세스 관점으로 인식한 개인 특성연구에 치우쳐있다. 본 연구는 위에서 제기된 문제점을 해결하고자 인간의 타고난 성정에 대한 인간의 유형화 방법인 한국사상 사상체질을 제안함과 동시에 SNS상에서의 자기표현 전략에 대해 탐색적인 기초실험연구를 진행하였다. 이 연구는 향후 카카오톡에서의 사상체질에 따른 자기표현방식을 연구하기 위한 실험 모델을 제안하여, 이 두 연구의 비교를 통해 각 미디어가 지닌 특성과 개인적 특성에 따른 자기표현전략을 제안 할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1125-1128
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• 2012

최근 FTA 체결은 국내의 농식품 소비자들을 값싼 외국산 농식품으로 소비 패턴을 변화시킬 수 있다. 또한 유통시장의 변화 즉, 소비자-생산자 간의 직거래 형태는 개인이 프로슈머로서 농식품 관련 컨텐츠의 제작과 생산이 더욱 활발해지도록 하며 소비자들이 구매의사 결정에 중요하게 작용하고 있다. 따라서 농식품의 효과적인 마케팅 전략읠 수립 및 실행을 위하여 소비자가 무엇을 원하고 인식하지 못한 욕구가 있는지 소비자 유형을 분석 할 필요가 있다. 본 논문에서는 농식품 소비자 구매의도를 통한 제품이나 서비스의 이용의도로서 종속변수로 설정하여 구매의도에 영향을 미치는 요인을 분석하였다. 또한 연구 모형을 위해 교류빈도, 친밀감, 호혜성, 감정의 강도라는 SNS 특성을 도출하여 분석하였다.

• International Commerce and Information Review
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• v.13 no.3
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• pp.55-74
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• 2011

Web Service applications based on the social relation such as Social Network Service(SNS), Social Medias are making strong blast. Social Computing which is widely spreading to worldwide is affecting to our life including policies, economies, societies and culture. Based on Web 2.0, various services like as Social Collaboration, Social Publishing, Social Feedback are supplied, more evolved social computing services, Social Connection, Augmented Reality, will be served for the next days from now. These network based services, Social Network Service or Social Media frequently used terms, are not defined exactly and their characteristics are not gotten to the bottom yet. Theoretical and systematic studies on these themes are not made also. Applications to business area, especially the receptivity to social computing in international trade is barely made to these days. This study focuses on the concepts, characteristics and sorts of social computing and purposes to consider its possibilities of application of social computing to international trade. Considering the advantage of Social network service, it can be used in international trade, a kind of B2B transaction, while existing social network is mainly applied to B2e transaction.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.799-810
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• 2009

전 세계적으로 노령화 문제가 사회적 이슈로 대두되고 있는 가운데, 노인이 느끼는 전반적인 삶의 질 (Quality of Life, QoL) 이 하락하는 문제가 사회 전반에 걸쳐 중요한 문제로 인식되고 있다. 이에 다양한 형태로 발생하고 있는 노인들의 문제를 해결하기 위하여 노인학, 사회 복지학 등의 분야에서 많은 연구가 진행되고 있다. 이 중 노인의 사회적 관계 (Social Network, SN) 를 강화, 확장하여 노인의 삶의 만족도 향상을 추구하고자 하는 연구를 찾아볼 수 있다. 이러한 관점에서 노인의 사회적 관계를 인터넷을 이용해 개선함으로써, 노인의 삶의 질을 향상시키고자 하는 것이 본 연구의 궁극적인 목표이다. 이에 본 연구의 세부적인 목적은 현재 젊은 층을 중심으로 많이 사용되고 있는 SNS 를 노인들이 사용하지 않는 이유에 대한 분석, 노인을 위한 SNS 의 핵심적인 기능적, 서비스적 요소를 파악하는데 있다. 이를 위해 현재 인터넷을 잘 활용하고 있는 60 세 이상의 노인 22 명을 대상으로 개별 인터뷰, 참가자가 사용하는 서비스 분석, FGI 의 3 가지 방식으로 데이터를 수집하였다. 이후 수집한 데이터를 이용하여 정성적 분석 방법으로 Casual Network 를 도출하였으며, 정량적 분석 방법인 Laddering 분석으로 Hierarchical Map 도출하여 비교하였다. 또한 도출된 결과가 노인들만의 특징인지를 파악하기 위하여 대학생, 직장인 각 10 명씩을 대상으로 노인을 대상으로 한 연구 방식과 동일한 방법으로 데이터를 수집, 분석 하였다. 최종적으로 본 연구는 사회감성적 선택 이론 (Socioemotional Selectivity Theory, SST)를 바탕으로 인터넷에서의 Social Network 활동도 오프라인과 유사한 특징을 가지고 있으며, 현재 친하게 지내고 있는 사람들을 중심으로 SN 을 강화시키려 하는 강화형 타입과 새로운 SN을 생성하기 위하여 노력하는 확장형 타입으로 구분할 수 있었다. 추후 이러한 특징들을 반영하여 노인들을 위한 SNS 가 지녀야 할 기능적, 시스템적 요소를 제안하고, 추후 연구 및 SNS 개발과 관련한 계획을 정리하였다.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.177-182
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• 2018

Recently, the use of SNS has been steadily increasing in the 40s and 50s in Korea. In order to increase the number of users in the global service brand, such as Instagram, facing the limit situation of new users, 40 ~ 50 new entrants are needed. However, 40 ~ 50s in Korea are not easily able to use these services because they have difficulties in these services. In this study, usability test is performed in terms of UX / UI about what is difficult for users in 40 ~ 50s to use in instagram, and what is the barriers to entry compared to domestic service The results are as follows. First, when localizing a global service, it is easy to understand, not a simple translation, and proper labeling should be considered. Second, major and frequently used functions should be considered to be intuitive to simplify the depth. Third, the design should be improved to increase the recognition rate of icons in terms of GUI. If possible, the combination of text and icons provided good results.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.449-454
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• 2020

This paper proposes a machine learning-based emotion analysis system that detects a user's depression through their SNS posts. We first made a list of keywords related to depression in Korean, then used these to create a training data by crawling Twitter data - 1,297 positive and 1,032 negative tweets in total. Lastly, to identify the best machine learning model for text-based depression detection purposes, we compared RNN, LSTM, and GRU in terms of performance. Our experiment results verified that the GRU model had the accuracy of 92.2%, which is 2~4% higher than other models. We expect that the finding of this paper can be used to prevent depression by analyzing the users' SNS posts.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.101-110
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• 2020

Devices that add emotion-specific services or various functions are appearing in AI speakers and related devices. To this end, this study performed topic modeling analysis on the topics of post-purchase texts written by AI speaker users, and compared them with the data collected via survey questionnaires. Furthermore, data on the emotional intelligence of AI speakers and relationship quality were collected from 600 users and analyzed using structural equation modeling. The findings of the study are as follows: First, the analysis results of topic modeling showed that most of the articles mainly mention the functional aspects of AI speakers. Second, emotional intelligence of AI speaker perceived by consumer affected relationship quality, and relationship quality had a positive effect on customer satisfaction. Therefore, this study expands the area of AI research by integrating the concept of emotional intelligence and relationship quality to provide new theoretical and practical implications.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.285-292
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• 2019

With the popularization of PC, SNS and IoT, a lot of data is generated and the amount is increasing exponentially. Artificial neural network learning is a topic that attracts attention in many fields in recent years by using huge amounts of data. Artificial neural network learning has shown tremendous potential in speech recognition and image recognition, and is widely applied to a variety of complex areas such as medical diagnosis, artificial intelligence games, and face recognition. The results of artificial neural networks are accurate enough to surpass real human beings. Despite these many advantages, privacy problems still exist in artificial neural network learning. Learning data for artificial neural network learning includes various information including personal sensitive information, so that privacy can be exposed due to malicious attackers. There is a privacy risk that occurs when an attacker interferes with learning and degrades learning or attacks a model that has completed learning. In this paper, we analyze the attack method of the recently proposed neural network model and its privacy protection method.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.287-294
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• 2022

The purpose of this study is to find out consumers' perceptions of "metaverse," a newly spotlighted technology, through big data analysis as a non-face-to-face society continues after the outbreak of COVID-19. This study conducted a big data analysis using text mining to analyze consumers' perceptions of metaverse before and after COVID-19. The top 30 keywords were extracted through word purification, and visualization was performed through network analysis and concor analysis between each keyword based on this. As a result of the analysis, it was confirmed that the non-face-to-face society continued and metaverse emerged as a trend. Previously, metaverse was focused on textual data such as SNS as a part of life logging, but after that, it began to pay attention to virtual reality space, creating many platforms and expanding industries. The limitation of this study is that since data was collected through the search frequency of portal sites, anonymity was guaranteed, so demographic characteristics were not reflected when data was collected.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.395-404
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• 2015

This study is exploring objective awareness of literary therapy by consideration of popular perception about literary therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service(SNS) about 'literary therapy'. Accordingly, the main way of research became content analysis of keyword linked to literary therapy by utilizing opinion mining method related to text mining. The study mainly grasped 'literary therapy' and analyzed 'bibliotherapy' comparatively. The period of study was from Oct. 10th to Nov. 10th, 2014(during 30 days), and SNS such as blog or twitter became the subject of search. Through the result of study analysis, the conclusion that the spread of literary therapeutic prospect, structural harmony of literary therapeutic field, and the solidity of perceptional axis about literary therapy are needed can be drawn. This study is worthwhile because it can investigate popular awareness about literary therapy and can suggest alternative for invigoration of literary therapy.