• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.157-164
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• 2011

Emotion science is one of the rapidly expanding engineering/scientific disciplines which has a major impact on human society. Such growing interests in emotion science and engineering owe the recent trend that various academic fields are being merged. In this paper we propose the potential importance of the biochip technology in which the human emotion can be precisely measured in real time using body fluids such as blood, saliva and sweat. We firstly and newly name such a biochip an Emotion-On-a-Chip (EOC). EOC consists of biological markers to measure the emotion, electrode to acquire the signal, transducer to transfer the signal and display to show the result. In particular, microfabrication techniques made it possible to construct nano/micron scale sensing parts/chips to accommodate the biological molecules to capture the emotional bio-markers and gave us a new opportunities to investigate the emotion precisely. Future developments in the EOC techniques will be able to help combine the social sciences and natural sciences, and consequently expand the scope of studies.

• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.133-144
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• 2006

The contemporary period is called "the age of sensibility" in which each individual consumer seeks to have her or his own products. Businesses are in need of design developments with an emphasis on customer sensitivity, and at the same time consumers must understand their own sensitivity to acquire information on designs that suit them. This research established a sensitivity and configuration database on designing men's jackets using the sensitivity engineering approach to clothing design information. The user interface was created on the Internet. Sixty-seven sensitivity terms of vocabulary appropriate for the assessment of men's jacket design were selected, and the different designs were classified into six items and 24 categories. Thirty men's jackets with different designs were produced for sensory testing and the results were analyzed in accordance with general linear I statistics. A sensitivity database was established for each category. My-sql, PHP, Java Script, and Html were used for the configuration database work. The configuration of items/categories, with the most appropriate sensitivity database information assigned to the selected sensitivity vocabulary, was programmed for display on the computer screen. The sensitivity vocabulary of a customer's choice for each factor was selected for the program to run, while the category and product configuration of the men's jacket most suitable for the search was displayed based on the user interface.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.395-398
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• 2011

트위터 사용자들은 어떠한 이슈에 대해 트위터를 통해 빠르고 간결하게 다른 사람들과의 지속적인 커뮤니케이션을 원하고, 이러한 특징은 이슈 별 사건에 따라 트윗 개수에 영향을 미치게 된다. 만약 어느 하나의 사회적 이슈에 대해 어떠한 사건이 일어나게 되면 그때의 트윗 개수는 폭발적으로 증가하게 된다. 본 논문에서는 이러한 특징을 이용하여 트위터 자료를 시간별로 분석하여 사건을 인식하고, 감성 자질과 카이제곱 값을 이용해 해당 날짜에 대한 핵심 사건을 추출한다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.152-153
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• 2021

Various types of panels can be designed using acrylic rods, which are materials that allow light to pass through existing concrete. After designing using people, animals and objects, a prototype was produced by mixing ultra-high-strength concrete, and taking care not to damage the fixed acrylic rod during pouring and demolding. Yun Dong-ju's free design of a figure and a researcher were inserted into the wall inside the interior space, and then the installation was completed on-site. For installation, a metal frame was installed on the temporary wall, which is a non-structural wall, and then a relatively heavy concrete panel was fixed using a structural sealant and then applied to the field.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1059-1062
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• 2021

투자에 대한 관심 증가에 따라 적은 비용과 시간으로 객관적인 정보 제공의 필요성 증가와 함께 인공지능 기술을 활용한 로보어드바이저 서비스가 확대되었다. 또한, 최근 ETF 를 통한 안정적인 투자에 대한 선호도가 증가함에 따라 ETF 중심의 AI 로보어드바이저 추천 서비스가 필요할 것으로 보인다. 하지만, 기존의 투자 어플리케이션에서는 뉴스 기반의 감성적인 요인이 반영되지 않은 추천 방식으로 주가에 영향을 미치는 다양한 요인들을 고려하지 못하는 문제점이 있다. 이에 본 연구에서는 뉴스의 감성분석을 통한 감성지수를 기반으로 새로운 주가 예측 모델을 제안하고, 사용자의 투자 성향 분석을 통한 맞춤 추천 서비스를 통해 개인화된 ETF 서비스를 제공한다.

• 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.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.496-503
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• 2009

In the life environment changed with not only the material abundance but also the quality, it is the most crucial factor for the strategy of sensibility engineering to investigate vital signal according to the sensibility. In this perspective, it is necessary to design and merchandise the products in cope with each sensibility and needs as well as its functional aspects. In this paper, we proposed the correlation between the visual sensibility and the vital signal using the wearable based electrocardiogram sensing clothes. We measured the electrocardiogram (ECG) signal by wearing the electrocardiogram sensing clothes. The heart rate variability (HRV) is calculated form the acquired ECG signal by wearing the electrocardiogram sensing clothes. And the power spectrum analysis using the Fast Fourier Transform (FFT) is evaluated the correlation between the visual sensibility and the vital signal. we plan to conduct empirical applications to verify the adequacy and the validity of the proposed method.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.3-16
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• 2015

Will orange scent enhance video reality if it is presented with a video which vividly illustrates orange juice? Or, will romantic scent improve video reality if it is presented along with a date scene? Whereas the former is related to reality improvement when concrete objects or places are present in a video, the latter is related to a case when they are absent. This paper reviews previous research which tested diverse videos and scents in order to answer the above two different questions, and discusses implications, limitations, and future research directions. In particular, this paper focuses on measurement methods and results regarding acceptability of olfactory information, perception of scent similarity, olfactory vividness and video reality, matching between scent vs. color (or color temperature), and description of various scents using emotional adjectives. We expect this paper to help researchers or engineers who are interested in using scents for video reality.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.4
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• pp.54-62
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• 2011

Emotional reaction should be different from the purpose of the robot system. The method for emotional reaction is also different from the specification of the robot system. Therefore, emotional behavior decision model, which is applied to social robots regardless of specifications and purposes, is necessary. This paper introduces a universal emotional behavior decision model designed for applying to various social robots that have different specifications and purposes. Multiple emotions, a set of probability value of every emotion, are calculated independently and expressed according to the purpose of the robot system. Then, behavior, for emotional reaction according to the calculated multiple emotions, is decided regarding the specification of the robot system. The decided behavior is a combination of unit behaviors that indicates the smallest expressible behaviors in each expression parts. It is possible to express various undefined behaviors by generating unit behavior combinations according to multiple emotions. The universal emotional behavior decision model is applied to three kinds of social robot systems that have different specifications and purposes.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.669-669
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• 1995