• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.409-414
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• 2021

본 연구는 소셜로봇 디자인 연구의 흐름 중 하나인 로봇의 외형에 관하여 시선 추적을 활용하고자 한다. 소셜로봇의 몸 전체, 얼굴, 눈, 입술 등의 관심 영역으로부터 측정된 사용자의 시선 추적 지표와 디자인평가 설문을 통하여 파악된 사용자의 태도를 연결하여 소셜로봇의 디자인에 연구 모형을 구성하였다. 구체적으로 로봇에 대한 사용자의 태도를 형성하는 메커니즘을 발견하여 로봇 디자인 시 참고할 수 있는 구체적인 인사이트를 발굴하고자 하였다. 구체적으로 본 연구에서 사용된 시선 추적 지표는 고정된 시간(Fixation), 첫 응시 시간(First Visit), 전체 머문 시간(Total Viewed), 그리고 재방문 횟수(Revisits)이며, 관심 영역인 AOI(Areas of Interests)는 소셜로봇의 얼굴, 눈, 입술, 그리고 몸체로 설계하였다. 그리고 디자인평가 설문을 통하여 소셜로봇의 감정 표현, 인간다움, 얼굴 두각성 등의 소비자 신념을 수집하였고, 종속변수로 로봇에 대한 태도로 설정하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.199-201
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• 2023

국내·외 소셜미디어 사용자가 증가하면서 마약 유통, 불법 촬영물 유포 등과 같은 사이버 범죄가 소셜미디어를 통하여 발생하고 있다. 사이버 범죄 수사를 위해 소셜미디어 크롤링 연구가 진행되고 있지만, 주로 'N번방' 등 불법 촬영물 및 성 착취물 유포와 같은 성범죄 수사를 대상으로 한다. 그러나 최근에는 성범죄뿐 아니라, 소셜미디어를 통한 마약 유통이 급격히 증가하고 있으므로 소셜미디어 크롤링을 통한 마약 수사 기술 개발이 필요하다. 본 논문에서는 소셜미디어 중, 인스타그램의 마약 유통을 추적하기 위해 실제 사용되는 마약 은어를 정의하고, 정의된 은어를 검색 키워드로 입력하여 사용자 계정을 수집하였다. 또한, 수집된 사용자 계정의 프로필 사진을 추출하고 유사도 분석을 수행하여 동일 마약 유통자 식별에 프로필 사진이 효과적임을 검증하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.305-308
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• 2013

본 연구는 농산물 전자상거래를 이용하는 소비자들의 신뢰와 구매의도에 영향을 미치는 소셜네트워크 특성을 분석함으로써 그동안 상대적으로 소홀했던 농산물 전자상거래 분야의 소셜네트워크 활용 방안 및 구매의도를 개선하기 위한 시사점을 제공하는데 목적이 있다. 본 연구의 목적을 위해 농산물 전자상거래 이용 소비자들을 대상으로 소셜네트워크특성이 신뢰를 매개로 구매의도에 미치는 영향을 분석한 결과 소셜네트워크 특성으로 도출한 교류빈도, 친밀감, 호혜성, 감정의 강도 중 친밀감, 호혜성, 감정의 강도는 신뢰에 정(+)의 영향을 미치는 것으로 나타났으며, 교류빈도는 정(+)의 영향을 미치지 않는 것으로 나타났다. 또한 신뢰는 구매의도에 정(+)의 영향을 미치는 것으로 분석되었다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.01a
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• pp.51-52
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• 2017

요우커를 중심으로 한 한류 열풍은 연예인, 미디어 콘텐츠 시장을 넘어서 한국산 제품에도 큰 영향을 미치고 있다. 특히, 화장품을 비롯한 뷰티 관련 제품은 가장 대표적인 시장으로 주목 받고 있다. 본 논문에서는 공공데이터 및 소셜 웹 데이터를 이용하여 화장품 관련 기업의 비즈니스를 위한 뷰티 트렌드 분석 서비스를 제안한다. 소셜 웹 데이터는 국내외 뷰티 시장에 대한 제품인지도를 중심으로 분석되며, 공공데이터는 국내에서 유통되는 화장품에 대한 안정성을 중심으로 분석한다.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.397-412
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• 2023

In order for social robots to take root in human life, it is important to consider the technical implementation of social robots and human psychology toward social robots. This study aimed to derive potential social robot clusters based on the emotions consumers feel about social robot appearance design, and to identify and compare important design characteristics and emotional differences of each cluster. In our study, we established a social robot emotion framework to measure and evaluate the emotions consumers feel about social robots, and evaluated the emotions of social robot designs based on the semantic differential method, an kansei engineering approach. We classified 30 social robots into 4 clusters by conducting a multidimensional scaling method and K-means cluster analysis based on the emotion evaluation results, confirmed the characteristics of design elements for each cluster, and conducted a comparative analysis on consumer emotions. We proposed a strategic direction for successful social robot design and development from a human-centered perspective based on the design characteristics and emotional differences derived for each cluster.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.3-14
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• 2023

Recently, the effect of using social media on psychological well-being has been highlighted. However, studies exploring factors that may predict the quality of social media relationships are relatively rare. The present study investigated whether social media activity and psychological states, such as loneliness and depression, can predict the quality of social media relationships during the COVID-19 quarantine period using a machine learning technique. Ninety-five participants completed a self-report survey on loneliness, Instagram activity, quality of social media relationships, and depression at different time points (during the self-isolation and after the release of self-isolation). Similarity analyses, including multidimensional scaling (MDS), representational similarity analysis (RSA), and classification analyses, were conducted separately at each point in time. The results of MDS revealed that time spent on social media and depression were distinguished from others in the first dimension, and loneliness and passive use were distinguished from others in the second dimension. We divided the data into two groups based on the quality of social media relationships (high and low), and we conducted RSA on each group. Findings indicated an interaction between the quality of the social media relationships and the situation. Specifically, the effect of self-isolation on the high-quality social media relationship group is more pronounced than that on the low-quality group. The classification results also revealed that the predictors of social media relationships depend on whether or not they are isolated. Overall, the results of this study imply that social media relationship could be well predicted when people are not in isolated situations.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.113-124
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• 2017

The existing social search has a problem that search results are not suitable for a user since it does not take into account the recency of the user profile and the interests of similar users. Therefore, studies on a social search considering a temporal attribute and the interests of other users are required. In this paper, we propose a social search scheme that takes into account the recent interests of a user by time and the interests of the most similar users. The proposed scheme analyzes the activity information of a social media user in order to take into account the recent interests of the user. And then the proposed scheme improves the satisfaction and accuracy of search results by combining the interests of similar users with the analyzed information and performing ranking, It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.407-419
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• 2015

As the use of social media has gained mainstream popularity, concerns on the particulars of the users' motivation and method of use is on the rise. Under uses and gratifications approach, this study analyzes the use behaviors in Kakao-story, Facebook, and Twitter, and analyzes the changes in the perception of social support by the users of the media. Data was analyzed from 240 online questionnaire surveys. The study finds that the frequency of use of social media differs depending upon the personality of the users and their purpose of use, both of which also influence their type of use. It also finds that frequent use of social media increased the users' perception of social support, whereas their type of use had no effect with such perception. Communication behavior through social media seem to increase perception of social support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4812-4818
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• 2011

This study aimed to reveal the relationship between the rural tourism social media use motivation and satisfaction, trust, continued usage intention. In order to carry out the empirical study 310 survey questionnaires were collected in rural tourism social media users, PASW18 and Lisrel 8.54 Statistics package were utilized for analysis of SEM. The study results were as follows: First, social media use motivation had a positive influence upon satisfaction, Secondly, satisfaction had a positive influence on trust, continued usage intention. Thirdly, trust had a positive influence upon continued usage intention. The study findings can provide the rural tourism with social media as well as practitional foundational upon which to establish effective marketing strategy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.