• Information Systems Review
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• v.22 no.3
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• pp.1-14
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• 2020

This study aims to contribute to the existing literature in creativity from the viewpoint of neuro-physiological analysis. Further, we looked at emotional influences on creativity within a business problem-solving context that implemented the use of a cognitive map in exploring creativity. For this purpose, we measured brain cortical activity as people solved a business strategy problem to explore the neural mechanisms of "insight problems" that are influenced by distinct emotions. Through an Electroencephalography (EEG) analysis of 34 qualified participants, we investigated the relationship between emotions and business problem-solving creativity (BPSC). Insightful results were derived such that participants primed in a negative condition evoked higher temporal alpha band activity compared to those primed in the positive condition. Meanwhile, there were no significant differences between two priming conditions on the other band activities. Therefore, this study sheds a very positive light on the scholarly value of conducting rigorous studies about the relationship between emotional states and BPSC status.

• Sleep Medicine and Psychophysiology
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• v.25 no.2
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• pp.58-67
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• 2018

Objectives: The purpose of this pilot study was to examine the effects of a mindfulness-based Body-Mind Intervention Program using marine resources on the improvement of quality of sleep, mood symptoms, and cognitive function in Korean female emotional labor workers. Methods: Twelve female workers who experienced excess emotional labor participated at the training camp program for five days in Danghangpo-ocean park, Goseung-gun, Gyeongnam Province in South Korea. Participant sleep quality, mood symptoms, and cognitive functioning before, after, and 1.5 months later were evaluated and analyzed. Results: After participating in the marine resource program, participants reported significantly decreased sleep latency. Global sleep quality, cognitive functions (attention, flexibility, and inhibition control), and mood states, including depression, tension, anger, fatigue, were also improved. These effects were generally maintained after 1. 5 months (PSQI t = 2.63, p = 0.02 ; HAM-D t = 5.92, p < 0.001). Conclusion: A Body-Mind Intervention Program using marine resources was effective in relaxing emotion-related tension and improving cognitive function. To advance this pilot study, it is necessary to carry out further research to investigate the use of marine resources in mental health interventions.

• Management & Information Systems Review
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• v.31 no.3
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• pp.249-270
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• 2012

The purposes of this research are suggesting the needs of further studies about human brand by analysing the antecedents and consequents of brand attachments to celebrities in Korean Wave and marketing implications. In especially, this study uses attachment as a one of important marketing performance factor that may be a appropriate word in person to person relations. Research conclusions show the trust is more important factor to brand attachment than competence and self congruity. And there is no direct effect of competence to brand attachment. This is partially because emotional evaluation of consumers is much important than rational evaluation when they are making relationships with celebrities. Second, as similar with past studies, higher attachments lead to higher buying intention toward products that celebrities endorse, next entertainment products they record or play, extension products, and country image.

• Journal of Software Assessment and Valuation
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• v.16 no.2
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• pp.63-68
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• 2020

This paper proposes a face authentication system based on deep learning framework. The proposed system is consisted of face region detection and feature extraction using deep learning algorithm, and performed the face authentication using joint-bayesian matrix learning algorithm. The performance of proposed paper is evaluated by various face database , and the face image of one person consists of 2 images. The face authentication algorithm was performed by measuring similarity by applying 2048 dimension characteristic and combined Bayesian algorithm through Deep Neural network and calculating the same error rate that failed face certification. The result of proposed paper shows that the proposed system using deep learning and joint bayesian algorithms showed the equal error rate of 1.2%, and have a good performance compared to previous approach.

• Proceedings of the ESK Conference
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• 1993.04a
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• pp.59-63
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• 1993

감성공학은 "인간이 제품이나 주변환경에 대하여 감각기관으로 부터 받아들인 각 종 정보자 극과 개인의 판단을 통하여 갖게되는 복합감정으로서의 감성을 측정, 분석하여 제품이나 환경을 인간의 생활에 편리하고 안락하며 만족스럽게 개발하는 전체과정" 이라고 정의 되었다. 이러한 감 성공학의 의미를 표현할 수 있는 영문명칭으로는 "Sensibility Ergonomics"가 제안되었으며, 감 성공학의 정의에 따르는 연구의 내용에는 인간의 감각(sensing)과 인지(perception), 감각정보처 리(information processing), 정신적 작업부하(mental workload)와 스트레스, 인간복합감정변화 등이 포함되도록 하였다. 특히 감성변화를 객관적으로 측정 평가하기 위하여 실험심리학 (experimental psychology)과 심리생리학(psychophysiology)등의 실험연구가 강조되었다. 동일한 감각 또는 정보자극에 대한 개인별 감성변화의 차이를 체계화하기 위해서는 제반 인체의 특성과 함께 인종, 지역, 환경, 전통등을 포함하는 생활문화 연구가 필수적으로 수행되어야 할 것이며, 이렇게 사용자의 문화적 배경을 고려하여 감성공학적으로 개발된 제품을 "High Culture" 제품이라 명명하였다.High Culture" 제품이라 명명하였다.명하였다.

• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.946-950
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• 2010

Many sentiment categorization systems based on machine learning methods use morphological analyzers in order to extract linguistic features from sentences. However, the morphological analyzers do not generally perform well in a customer review domain because online customer reviews include many spacing errors and spelling errors. These low performances of the underlying systems lead to performance decreases of the sentiment categorization systems. To resolve this problem, we propose a feature extraction method based on simple longest matching of Eojeol (a Korean spacing unit) and phoneme patterns. The two kinds of patterns are automatically constructed from a large amount of POS (part-of-speech) tagged corpus. Eojeol patterns consist of Eojeols including content words such as nouns and verbs. Phoneme patterns consist of leading consonant and vowel pairs of predicate words such as verbs and adjectives because spelling errors seldom occur in leading consonants and vowels. To evaluate the proposed method, we implemented a sentiment categorization system using a SVM (Support Vector Machine) as a machine learner. In the experiment with Korean customer reviews, the sentiment categorization system using the proposed method outperformed that using a morphological analyzer as a feature extractor.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.230-240
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• 2009

This study proposes a theory of consumer experiences based on a cognitive science framework that serves as an alternative to the mainstream marketing paradigm of information processing and choice. The theory consists of three key theoretical constructs: experiential modules, primary vs. secondary experiences, and the hierarchy of experiential modules. Based on this theory, this study investigates the effect of experiential attributes and functional attributes on consumer's product evaluations, and the moderating role of consumer's knowledge. The main research findings are (1) the subjects react faster to sensory and affective stimuli(ex: experiential attributes) than they do to intellectual stimuli (ex: functional attributes), (2) the interaction modularity of attributes(functional vs. experiential) $\times$ tempo(normal vs. fast) $\times$ product knowledge(novice vs. expert) appear significantly with product evaluation as the dependent measure.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.52-54
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• 2006

유비쿼터스와 유무선 기술의 발전으로 최근들어 각 개인과 그를 둘러싼 환경으로부터 지속적으로 많은 데이터를 수집할 수 있게 되었다. 상황인지 기법들을 활용하면, 수집된 데이터께서 각 개인의 경험을 요약할 수 있는데, 요약된 경험 정보는 해당 개인의 기억 회상에 도움을 줄 뿐 아니라, 다른 사람들과의 상호작용을 증대시키는 데도 유용하게 사용된다. 본 논문에서는 모바일 상에서 수집된 특이성 정보를 바탕으로 사용자의 프로필을 고려하여 개인의 일과를 만화의 형태로 표현하는 방법을 제안한다 특이성 정보는 휴대폰 로그로부터 상황인식 기법을 통해 추론된 것으로 사용자의 행동 및 감정 정보를 나타낸다. 추론된 사용자의 행동 및 감정 정보들과 미리 입력된 사용자 프로필을 바탕으로 본 논문에서는 배경과 캐릭 터 만화 이미지들을 의미적 유사도를 사용하여 합성한다. 또한, 생성된 만화 이미지들에서 동적으로 스토리 스트림을 구성하여 만화 내용의 일관성을 유지한다. 제안하는 만화 생성 방법을 평가하기 위하여 특이성 시나리오를 바탕으로 만화를 합성하여 생성된 만화의 다양성과 일관성을 평가하였다.

• Journal of Software Assessment and Valuation
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• v.15 no.2
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• pp.95-100
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• 2019

In this paper, we propose a simple hardware reporting method for errors in soft-RAID systems of Linux OS. Compared with other reporting methods, the proposed method displays error status intuitively without any additional access process such as log-in process or home-page access. In particular, the server actively displays the error status, so the administrator can take immediate action. In order to confirm the effectiveness of the proposed method, the experimental circuit was constructed and the experimental results showed that the error was actively displayed when an error occurred in the storage device. As such, a soft-RAID system can perform almost the same function as a hardware RAID system, thereby ensuring server data reliability at low cost.

• Journal of Software Assessment and Valuation
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• v.15 no.1
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• pp.1-9
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• 2019

We intend to collect and analyze traffic efficiently in order to detect copyright infringement that illegally share contents on Tor network. We have designed and implemented a Tor traffic collection system using multiple virtual machines. We use a number of virtual machines and Mini PCs as clients to connect to Tor network, and automate both the collection and refinement processes in the traffic collection server through script-based test client software. Through this system, only the necessary field data on Tor network can be stored in the database, and only 95% or more of recognition of Tor traffic is achieved.