• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.3-10
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• 2017

This research investigated the cross-modal correspondence between the turbidity and taste of beverages. For an empirical study, we employed two types of achromatic beverages: rice wine and a soft drink. The turbidity of each drink varied between 0.0625~32 g/L, and 0.0078~4 g/L, respectively, and the stimuli were prepared in ten levels according to cognitive turbidity. In the study, participants (N=35) rated each drink stimulus using a 3-point Likert scale with regard to five basic tastes: sweet, salty, bitter, sour, and preferred. In addition, six specific tastes were included that deliberately describe rice wine and the soft drink. Three were yeasty, alcoholic, and astringent for the rice wine, and the other three were creamy, bubbly, and syrupy for the soft drink. Based on participants' assessments, the turbidity of rice wine is highly positively correlated with all five basic tastes. In contrast, the turbidity of the soft drink was positively correlated with sour only. Concerning preference, the most preferred turbidity of rice wine was 4.6~20 g/L, which is close to the turbidity of existing products on the market. Furthermore, except for astringent and syrupy, all tastes were influenced by the turbidity, which implies the potential of turbidity as a new visual parameter to communicate the taste experience of beverages.

• Journal of Music and Human Behavior
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• v.6 no.1
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• pp.81-109
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• 2009

The purpose of this study was to determine the effectiveness the Song Psychotherapy Program in decreasing test anxiety in adolescent students. For this study, twelve sessions were conducted in five stages for four 14-year-old middle school students at D Middle School on Daejeon. To measure the effects of the Song Psychotherapy Program, the researcher compared the results of Test Anxiety Inventory of Korea (TAI-K) before and after the program. The researcher also analyzed the contents of the participants' verbal responses and answers to repeated questionnaires to find out what participants experienced in Song Psychotherapy. The results of this study were as follows. First, a comparison of test anxiety scores prior to and following the program showed an average decrease from 91.75 to 60.5. Second, the subjects reported a positive musical experience in the program. The results of the research as described above show that the Song Psychotherapy Programis effective in decreasing test anxiety levels and general examination stress in adolescent students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.245-255
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• 2017

This study was conducted to investigate the effects of neurofeedback (NFB) on attention in college students with ADHD. Participants were 27 university students, 10 in an NFB training group (experiment group), eight in a CBT group (comparison group) and nine in a no-treatment group. The score of CAARS-K decreased significantly in both the NFB group and the CBT group relative to the no-treatment group. Additionally, the score of the digit span test increased significantly in the NFB group, CBT, and no-treatment group, and the scores of these three groups differed significantly. Moreover, significant changes in EEG were found in the NFB Group, while the CBT group showed no significant changes in EEG. The significant change in EEG implies that NFB training improved the stability of brain function on the cerebral neurological level. The effects of improved attention remained after 5 weeks in both the NFB and CBT group. Finally, implications, limitations, and suggestions for future studies were discussed.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.261-268
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• 2017

The study is designed to explore the effects of the Acceptance-Commitment Therapy (ACT) on Reserve Officer's Training Corps (ROTC)' stress, anxiety, and acceptance. Among the total of 82 ROTC, total of 12 participants whom showed over-average scores for stress and anxiety and agreed to participate in study were selected. The ACT group received twice-weekly, approximately 90 minute, total of 8 sessions of ACT program Both groups filled out Perceived Stress Scale, State-Trait Anxiety Inventory, and Acceptance and Action Questionnaire each before, at the end of, and 4 weeks after the program. The result showed that the group that participated in ACT program showed significant decrease in stress and anxiety, and although the overall acceptance behavior showed no significant change, the Acceptance - a subfactor of the scale - showed significant increase. This study suggest empirical evidence to prove that the ACT is effective in reducing stess and anxiety of ROTC. However, the study has only few ROTC participants and thus has limitations. Therefore it is crucial that future studies are conducted addressing this issue.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.493-502
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• 2013

The purpose of this study was to find out the adjective scales, which will be used in the qualitative sensory evaluation of taste, by collecting and analyzing adjectives of expressing taste of Korean language. For the purpose, we rated the mutual similarities among selected 92 adjectives which include the sense of taste, texture, smell and temperature from foods, and then carried out factor analysis and clustering analysis by using correlation based on the similarities. According to the factor analysis there are more than 10 important factors involved in the linguistic representation of taste including food temperature, texture and smell as well as taste. Also, from the cluster analysis, we found that the adjectives can be clustered with groups of the adjectives representing general taste, negative taste, texture and temperature of food. In addition we analyzed the correlation between the adjectives to represent the generic preference of taste and the adjectives to express individual factors of the preferences that are resulted from cluster analysis. The analysis results could show that we need to restrict the type of foods to find out the meaningful limited number of sensory adjective scales for taste in the future.

• Sleep Medicine and Psychophysiology
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• v.24 no.1
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• pp.38-45
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• 2017

Objectives: Sleep disturbance is a very rapidly growing disease with aging. The purpose of this study was to investigate the prevalence of sleep disturbances and its predictive factors in a three-year cohort study of people aged 60 years and over in Korea. Methods: In 2012 and 2014, we obtained data from a survey of the Korean Social Life, Health, and Aging Project. We asked participants if they had been diagnosed with stroke, myocardial infarction, angina pectoris, arthritis, pulmonary tuberculosis, asthma, cataract, glaucoma, hepatitis B, urinary incontinence, prostate hypertrophy, cancer, osteoporosis, hypertension, diabetes, hyperlipidemia, or metabolic syndrome. Cognitive function was assessed using the Mini-Mental State Examination for dementia screening in 2012, and depression was assessed using the Center for Epidemiologic Studies Depression Scale in 2012 and 2014. In 2015, a structured clinical interview for Axis I psychiatric disorders was administered to 235 people, and sleep disturbance was assessed using the Pittsburgh Sleep Quality Index. The perceived stress scale and the State-trait Anger Expression Inventory were also administered. Logistic regression analysis was used to predict sleep disturbance by gender, age, education, depression score, number of coexisting diseases in 2012 and 2014, current anger score, and perceived stress score. Results: Twenty-seven percent of the participants had sleep disturbances. Logistic regression analysis showed that the number of medical diseases three years ago, the depression score one year ago, and the current perceived stress significantly predicted sleep disturbances. Conclusion: Comorbid medical disease three years previous and depressive symptoms evaluated one year previous were predictive of current sleep disturbances. Further studies are needed to determine whether treatment of medical disease and depressive symptoms can improve sleep disturbances.

• Journal of KIISE:Software and Applications
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• v.29 no.8
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• pp.584-594
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• 2002

In information retrieval or digital library, one of the most important factors is to find out the exact information which users need. In this paper, we present an efficient index term extraction method which makes it possible to guess the content of documents and get the information more exactly. To find out index terms in a document, we use lexical chains. Before generating lexical chains, we roughly disambiguate the senses of nouns in a document using specific concept, called semantic window. Semantic window is that we look ahead semantic relations of peripheral nouns and disambiguate the senses of nouns. After generating lexical chains with sense-disambiguated nouns, we find out strong chains by some metrics and extract index terms from a few strong chains. We evaluated our system, using results of a key phrase extraction system, KEA. This system works in general domains of documents Including Information Retrieval and Digital Library.

• Journal of the Korea Convergence Society
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• v.9 no.8
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• pp.265-272
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• 2018

This study is a descriptive study to investigate the factors influencing the level of cognitive function among elderly living alone according to the presence of dementia risk factors. We conducted a simple questionnaire, GDS-K and MMSE-DS tests to investigate the risk of dementia among 143 elderly people living alone in the community. The results showed that the major factors influencing the cognitive function of the elderly people living alone were education, age, depression status, smoking, leisure activities, and gender. In order to develop strategies for the prevention of dementia in the elderly people living alone, it is necessary to change lifestyle and provide various management methods to identify risk factors that negatively affect cognitive function and to help cognitive health.

• Journal of KIISE
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• v.42 no.6
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• pp.817-822
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• 2015

Relation extraction is an important information extraction technique that can be widely used in areas such as question-answering and knowledge population. Previous studies on relation extraction have been based on supervised machine learning models that need a large amount of training data manually annotated with relation categories. Recently, to reduce the manual annotation efforts for constructing training data, distant supervision methods have been proposed. However, these methods suffer from a drawback: it is difficult to use these methods for collecting negative training data that are necessary for resolving classification problems. To overcome this drawback, we propose a one-class classification model that can be trained without using negative data. The proposed model determines whether an input data item is included in an inner category by using a similarity measure based on lexical information and syntactic patterns in a vector space. In the experiments conducted in this study, the proposed model showed higher performance (an F1-score of 0.6509 and an accuracy of 0.6833) than a representative one-class classification model, one-class SVM(Support Vector Machine).

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.3
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• pp.209-216
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• 2012

The purpose of this study is to find the UCC (User Created Contents) communication structure in the perspective of smart-phone technologies or SNS (Social Network Service). In developing the research model, we have focused on selecting the success factors appropriate for the UCC through reviewing past researches and on developing more accurate success measures. The model consists of relation each service (Facebook linked in Flickr and so on), relation of trust, transfer to Social Capital and so on . The result shows thar process of trust based in UCC is the most important determinants of structure and organization network. And collaboration relationship is the most important of SNS used in SSO and Open-API technologies. The practice characteristic of UCC has direct and indirect effect on SNS of improving social trust.