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      • 청자의 감성 분석을 통한 음악 장르간 인터섹션 연구

        고영인(Youngin Koh),안정아(Jungah Ahn) 한국HCI학회 2014 한국HCI학회 학술대회 Vol.2014 No.2

        현대 한국인들 중 다수는 한국음악이 서양음악보다 고루하다고 생각하는 경향이 있다. 그래서 한국음악보다 친근한 서양음악을 이용하여 한국 음악을 이해할 수 있도록 청자의 감정을 이용한 음악 간 인터섹션을 연구하였다. 청자의 감정 연구를 위해 Thayer"s mood 모델을 참고하여 피험자들에게 서양음악 한국음악 총 60 곡을 들려주고 음악에서 느껴지는 감정에 대한 설문에 응답하게 하였다. 그 곡들의 음악적 특성을 템포, 조성, mfcc 로 나누고 청자의 감정과의 관련성을 분석한 결과 음악 간 비슷한 특성이 많아질 수록 감정과의 관련성도 높아지는 것을 알 수 있었다. 그리고 연구를 바탕으로 서양음악과 한국음악의 청자감정을 통한 인터페이스를 이용한 한국음악 추천 시스템을 제안하였다. Modern Korean people usually think Korean music is outdated than Western music. Therefore, we discover music intersection using listeners" emotion for understand Korean music. For study about listeners’ emotions, subjects listened 60 music and answered survey questions derived from Thayer"s model of mood. We classification music into 3 categories as bpm, key and mfcc and named music" characteristics. After that, we analyzed music by emotional relations. We found that the music have the more same characteristics, the more emotionally related each other. And we suggest a recommendation system using the Western and Korean music interface.

      • 블록체인 특성을 활용한 문제 해결 아이디어 도출

        고영인(Youngin Koh),한성호(Sung. H. Han),박준성(Junseong Park) 대한인간공학회 2020 대한인간공학회 학술대회논문집 Vol.2020 No.10

        Objective: The goal of this study is to propose a systematic process for creating ideas combining blockchain technology and user requirements together. Background: In order for blockchain technology to positive influence the user experience, the service ideas in which technology and user requirements are combined are important Few research has investigated the creation process, which makes it difficult in generating problem-solving ideas using blockchain technology. A thorough analysis of previous studies allowed us to develop structured ideas. The developed process used a card-based. Results: A five-step process was proposed to derive innovative ideas applying blockchain technology satisfying user requirements. Conclusion: The process will allow developers to understand blockchain technology and derive ideas satisfying user requirements. It is expected to derive new ideas with the proposed process and analyze the results to prove the efficiency and effectiveness of the process.

      • MyData에 대한 가치 판단 기준

        고영인(Youngin Koh),한성호(Sung. H. Han) 대한인간공학회 2020 대한인간공학회 학술대회논문집 Vol.2020 No.10

        Objective: The aim of this study is to analyze the value perception criteria of MyData from the perspective of data owners. Background: As the use of personal data increases, data owners begin to be concerned the value of MyData. Research is needed to estimate the fair value of MyData. Method: A literature survey was conducted to find the criteria estimating the value of MyData. Factors related to the value estimation criteria were derived from the literature, and similar elements were classified by the affinity diagram. Results: Seven criteria were derived to estimate the value of MyData from the perspective of the data owner. Conclusion: The results of this study can be used to set fair pricing criteria for data sales from the data owners’ perspective.

      • Personal Data Disclosure in Blockchain Networks

        Youngin Koh(고영인),Sung. H. Han(한성호) 대한인간공학회 2021 대한인간공학회 학술대회논문집 Vol.2021 No.11

        Objective: This study investigates the properties of blockchain networks that can influence users’ intention to disclose personal data. Background: Blockchain technology gives rise to new ways of managing personal data. It enables individual-centric data management with such characteristics as safe data storage and easy data sharing. Nevertheless, individuals have to disclose their data to others in peer-to-peer networks in blockchain, and accordingly privacy concerns could occur. In other words, blockchain technology can be a double-edged sword by simultaneously providing the privacy concern of personal data disclosure with the benefit of delivering network participants with a new way to manage their data. From the perspective of blockchain network users, there is still a lack of research on the impact on personal data disclosureThis study investigated the properties of blockchain networks. Method: This study consists of two phases, literature survey and user studyA literature survey was conducted to find the properties of blockchain networks related to personal data disclosure. It considered not only blockchain types—public/private, permission/permissionless blockchain—but also technologies that complement the limitations of blockchain technology, such as off-chain or inter-chain. Twenty-two properties of blockchain networks were obtained as a result. It also conducted user research to select the blockchain network properties influencing personal data disclosure intentions. Sixteen participants who have experiences participated in the experiment individually. They received 22 cards displaying the properties. They selected and ranked the cards they considered appropriate by using the following criteria: a) encouraging to disclose personal data to others within the network or b) making reluctant to disclose personal data to others within the network. And then this study conducted an interview on how they thought each blockchain network property influences the intention to disclose personal data. Results: As a result of the user research, the participants responded that ten properties could encourage disclosure, and five properties could influence disclosure reluctance. The participants responded that the security status of their data disclosed on the blockchain network—how personal data is exposed to others, how it is managed or stored—or trust in the network affects the disclosure intention of personal data. Although the participants responded that the ’financial reward from data disclosure’ can induce the disclosure intention, its rank is low because they do not think they can receive a large amount of money as a reward by disclosing data. They also responded that the properties of the public blockchain network—‘everyone could read the data in the network’, ’know whom the personal data came from’, ’all users, including myself, own all data’—particularly influence in their reluctance to disclose data. Conclusion: This study investigated whether blockchain technology can be used for individual-centric data management systems from the point of view of network users. Blockchain network properties usually influence a positive effect on data disclosure intention. On the other hand, the properties that may make people reluctant to disclose personal data are the fundamental characteristic of the public blockchain. It is necessary to design individual-centric data management systems using blockchain technologies with private blockchain or other technologies that can overcome this limitations.

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