• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1561-1563
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• 2011

최근 스마트폰의 이용률이 폭발적으로 증가하면서 다양한 응용이 새로운 이슈로 주목 받고 있다. 특히, 소셜 관계성을 기반으로 하는 앱은 더욱 주목을 받고 있다. 본 논문에서는 개인의 주관적인 성향을 객관화시켜 사용자의 능동적인 방식을 요구하는 목적으로 콘텐츠를 제안한다. 본 논문에서 기획하여 제안하는 콘텐츠는 "윈어팩션 앱(Winaffection Application)" 이라고 부른다. 제안하는 콘텐츠는 외적인 면과 더불어 성향, 기호기능을 추가하여 사용자의 이상형에 근접한 결과를 산출하고 사용자의 개인적인 공간, 회원들 간의 공개적인 공간을 활용하여 맞춤이성을 찾는데 도움이 되도록 기획하였다. 본 연구를 통하여 사용자는 자신의 성향과 취향에 맞는 이성을 만나 사회적 상호 관계성를 형성하는 초기에 발전적으로 기여 할 수 있을 것으로 기대한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.109-112
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• 2007

온라인 음악 시장이 점차 커지고 있다. 이에 따라 사용자를 위한 다양한 서비스가 요구되고 있다. 하지만 현재 적용되는 서비스는 통계적인 수치에 기반하는 순위권 나열 혹은 테마나 장르별 음악 소개에 그치고 있다. 따라서 본 논문에서는 사용자의 성향에 가까운 음악을 분석하고 이를 추천하는 방법을 제시한다. 음악 추천 시스템을 위해 우선 사용자의 성향을 분석하기 위하여 사용자가 청취했던 음악의 음파를 분석하여 특성을 추출하여 벡터로 나타낸다. 하지만 추출된 성향과 다른 음악의 성향을 비교해야 하는데 음악의 양이 방대하기 때문에 시간이 오래 걸릴 수 있다. 따라서 이 문제를 해결하기 위해 공간 분할을 통해 검색의 범위를 축소시키고, 음악을 빠르게 추천한다. 실험 결과, 사람의 주관적인 해석이 아닌 음파의 해석을 통해 보다 객관적이고 자동화된 추천 방법을 구현할 수 있었다. 그리고 같은 성질의 음악이 추천되어짐을 확인할 수 있었다.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.395-401
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• 2014

As social network service becomes common, the consumers use many discount coupons with which they can purchase goods via social commerce. Although, the quantities of coupons offered from social commerce are currently on the sharp increase, customized coupon service that reflects user preference is not offered. This paper proposes a coupon service method reflecting user's subjective inclination targeting food coupons to offer customized coupon service for social commerce. Towards this end, this paper conducts hierarchization of the factors that become standard in selecting coupons including food types, food prices, discount rates and the number of buyers. And then, this study classifies, extracts and offers the coupons using Fuzzy-AHP, a decision making support method that reflects subjective inclination. From the user satisfaction results on the extracted coupons, the users are generally satisfied: very satisfactory with 45%, satisfactory with 33% and fair with 22%, and there was no experiment participant, who was dissatisfied.

• The Journal of Korean Association of Computer Education
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• v.19 no.1
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• pp.77-86
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• 2016

This paper is concerned with identifying the determinants of committing digital piracy in university settings. Using a theoretical model based on Theory of Reasoned Action, the causal relationship among the research variables, including intention to commit digital piracy, attitude, subjective norm and fear of legal consequences, is developed. Results from 295 survey responses indicate that fear of legal consequences affect the subjective norm and the attitude, which in turn influence the intention to commit digital piracy. In addition, relativism based on EPQ(Ethics Perception Questionnaire) is introduced as a moderating variable. The relative influences of path coefficients are investigated and implications from findings are also discussed.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.11-16
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• 2024

Recently, the health-pleasure trend, which means enjoying health care through exercise or diet and certifying it on SNS is spreading to the MZ generation. This study examined the effect of personality traits on SNS upload behavior and subjective well-being related to health care. As a result, 1) parallel comparison and narcissism had a positive effect on the SNS upload attitude and intention, and the downward comparison had a negative effect on both SNS upload variable. Self-esteem had a positive effect only on the attitude of uploading SNS. Next, 2) self-esteem had a positive effect on both subjective well-being, while narcissism had a negative effect on stress, and parallel comparisons had a positive effect on life satisfaction. In other words, it was confirmed that comparisons with similar people had a positive effect on SNS upload behavior and their subjective well-being, while health care for self-show or recognition of others had a negative effect on their subjective well-being. The results of this study should be actively reflected not only for the marketing market but also for a media and cultural environment in which the MZ generation can lead a healthy life.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1997.03a
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• pp.129-139
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• 1997

다양한 실세계의 표현은 주관적인 의미가 내포되어 있어 데이터의 모델링 과정이 보다 중요하며 이 과정에서 데이터 손실을 최소화시켜야 한다. 이러한 성향의 모든 데이터를 수용하기위한 퍼지데이터베이스 시스템 구축시에는 데이터가 퍼지 집합으로 표현되어야 하고 불확실하고 다양한 형태의 질의가 가능하며 신뢰성 있는 응답 제시되어야 한다. 본 논문에서는 불활실함의 의미를 최대한 반영하여 표현을 다양화 시키고 사용자의 주관적인 인식수용을 위한 데이터의 개별화와 레벨의 다양화를 위한 클러스터링(clustering)기법을 보인다. 이를 통해 영역구조를 병합 분리시켜 데이터베이스의 릴레이션에서의 도메인요소의 첨가와 삭제를 통하여 자유로운 질의에 대한 불확실성이 감소된 응답과 융통성이 부여된 퍼지질의 처리를 보여준다.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1174-1183
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• 2012

This study, depending on the diversification of the information environment, was carried out to analyze the role of visual cues and the relationship between visual information structure in the process of user's visual immersion and recognition. Thus, we design evaluation model which used scientific instruments and subjective evaluation taking into account the latest graphical user trends, and analyze the data of immersion and recognition of the user experience that acquired through the process more systematic experimental procedure. Based on this, in the future, this study will be able to contribute implement the latest broadly applicable to the device of graphical information user basic design model and a standard evaluation model.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.199-204
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• 2018

Smart phones that have lost their existing physical home buttons are being released at the same time, and the flow of users is also changing. The flow is highly subjective and can vary depending on the individual's tendencies. Therefore, this study investigated the change of the flow of smart phone users by Q methodology which is a method of subjectivity research. As a result, the proficiency level of how to turn on the power to start the screen showed a tendency to decrease the flow, and the playability, which is a result of curiosity about the new thing, The results were very positive in the continuity of navigation due to the use of software buttons instead of buttons. Therefore, it can be seen that the change in the hardware smartphone has a positive effect on the flow.

• Journal of Korea Multimedia Society
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• v.17 no.1
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• pp.43-51
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• 2014

Social Network Service has the sufficient potential can be widely and effectively used for various fields of society because of convenient accessibility and definite user opinion. Above all Twitter has characteristics of simple and open network formation between users and remarkable real-time diffusion. However, real analysis is accompanied by many difficulties because of semantic analysis in 140-characters, the limitation of Korea natural language processing and the technical problem of Twitter is own restriction. This thesis paid its attention to human's political attitudes showing permanence and assumed that if applying it to the analytic design, it would contribute to the increase of precision and showed it through the experiment. As a result of experiment with Tweet corpus gathered during the election of national assemblymen on 11st April 2012, it could be known to be considerably similar compared to actual election result. The precision of 75.4% and recall of 34.8% was shown in case of individual Tweet analysis. On the other hand, the performance improvement of approximately 8% and 5% was shown in by-timeline political attitude analysis of user.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.1
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• pp.34-39
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• 2009

As a subjective recognition effect, human's emotion has impulsive characteristic and it expresses intentions and needs unconsciously. These are pregnant with information of the context about the ubiquitous computing environment or intelligent robot systems users. Such indicators which can aware the user's emotion are facial image, voice signal, biological signal spectrum and so on. In this paper, we generate the each result of facial and voice emotion recognition by using facial image and voice for the increasing convenience and efficiency of the emotion recognition. Also, we extract the feature which is the best fit information based on image and sound to upgrade emotion recognition rate and implement Multi-Modal Emotion recognition system based on feature fusion. Eventually, we propose the possibility of the ubiquitous computing service reasoning method based on Bayesian Network and ubiquitous context scenario in the ubiquitous computing environment by using result of emotion recognition.