• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.145-152
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• 2009

Applications such as study guides and adaptive tutoring must rely on a fine grained student model to tailor their interaction with the user. They are useful for Computer Adaptive Testing (CAT), for example, where the test items can be administered in order to maximize the information. I study how to design learner tailoring question process for recommendation. And this process can be applied the CAT and I use the formal language such as CSP in each process development for efficient process design. I use the item difficulty of item response theory for question recommendation process and learner can choice the difficulty step for learning change to control the difficulty of question in next learning. Finally, this method displayed the structural difference to compare between existent and this process.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.321-327
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• 2013

Impaired naming difficulty is common in normal elderly as well as in patients with neurological impairment. The 60-item Korean version-Boston Naming Test(K-BNT) is one of the most commonly used test for measuring confrontational naming ability. However, age-related cognitive decline may make the elderly difficult concentrating during the 60-item test, therefore, item reduction of the K-BNT would improve test validity and reliability. Thus, the purpose of this study was to develop a short form of the K-BNT based on Item Response Theory(IRT). Considering item-fit index, sex factor, and item difficulty through Rasch analysis, the 15-item K-BNT(i.e., K-BNT-15) was developed. Via administration of the K-BNT-15, we observed age-related decline in naming ability and significantly different performance between the normal elderly and patients with mild cognitive impairment. This study demonstrates the utility of IRT for developing a short-form language evaluation tool. The K-BNT-15 can be effective as a language screening tool to differentiate between normal aging and pathological diseases.

• Proceedings of the Korean Society of Food Science and Nutrition Conference
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• 2000.11a
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• pp.115-123
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• 2000

식품의 관능검사는 인간의 의식과 식품간의 반응결과를 객관적으로 나타내는 방법으로 수치, 언어적 묘사, 도표 등의 표현법을 사용하고 있으며 검사 요원들 간의 오차를 발생한다. 이 오차를 줄이기 위하여 통계 및 심리학적으로 접근하여 해결을 시도해 오고 있으며 오차를 심리적 잡음 (psychological noise)이라고 주장되고 있다. 식품의 기호도는 감각신경세포에서 전기적 신호로 전환되어 뇌에 전달되고 의식의 분석과 해석을 거쳐 얻어지는 것이므로 전기적 신호처리가 포함된다. 그러나 현재의 관능검사 방법들은 시간의 함수관계를 중시하고 있지 않다. 감각신경의 신호 전달체계의 유사성을 바탕으로 관능검사과정에 시간함수를 도인하는 개념이 요구된다. 시간을 개입하는 방법론으로 의식과 식품간의 일어나는 순차적 또는 병열적 행동과 의식체계를 분석하고 시간인자의 중요성을 부각시켰다. 시간함수의 도입방법으로 관능영향인자 표의 구성하고 bar-code를 생성하는 프로그램과 파형곡선으로 전환하는 개념을 제안하였다.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.88-96
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• 2015

The universe of discourse presented in the visual image is bound up with the experience and culture of parties; its sender and recipient. Signification of visual message is revealed through the mutual independent process. The mechanism where production of signifiant by sender and reception of metaphoric signifiant function unconsciously can be applied to Lacan's theory;"The unconscious is structured like a language". By applying Lacan's metaphoric formula which takes linguistic approach to visual image it is suggested that analysis of signification is possible. This analysis can be a base for seeking varied level of signifiant presented in visual metaphor logically and practically. Metaphoric structure of the signifiant and the matrix analysis can develop a creative idea and propose a practical way for the visual image production. Thus empirical study about nastic response and the future analysis result is expected to be possible.

• Journal of the Korean Home Economics Association
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• v.47 no.5
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• pp.23-34
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• 2009

The purpose of this study was to e${\times}$amine the effect of visual imagery stimulated by product information on consumer responses in online shopping conte${\times}$ts. Dual coding theory provided the theoretical framework of the study. The proposed model of the study was e${\times}$amined by conducting an e${\times}$periment using mock apparel websites with a between-subject factorial design: [2 (pictorial information: detailed views vs. no detailed views) ${\times}$ 2 (verbal information: detailed descriptions vs. abstract descriptions)]. A total of 439 female college students participated in the e${\times}$periment, and 433 responses were ultimately used to test the hypotheses. The findings from the results revealed: (1) the main effects of the pictorial and verbal information on visual imagery, and (2) positive relationships between (a) visual imagery and mood, (b) visual imagery and perceived product quality, (c) mood and perceived product quality, and (d) perceived quality and purchase intentions.

• Journal of Educational Research in Mathematics
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• v.20 no.2
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• pp.103-119
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• 2010

This study aims to figure out the characteristics of the mathematical ability of multicultural Korean elementary school learners. This was done by analyzing the results of a mathematics diagnostic test given to multicultural Korean first and second year elementary school students. The findings of this study mainly support the following three. First, it was indicated that, regardless of whether the students are multicultural or not, more second-year students had difficulty in understanding mathematics than the first-year students. Specifically, a higher percentage of second-year students were below the reference point (cut-off point) than was the case in the first-year learners, which pattern of the overall Korean students was consistent with that of multicultural Koreans. Second, concerning the sub-fields of mathematics, higher proportion of the students fell below the cut-off point in 'numbers and arithmetics' area than in 'measure and geometry,' which pattern was again the same with the multicultural students. Third, it was implied that, in addition to mathematically more complex questions, linguistically complex sentential representations contributed to increasing the difficulty of the test items. It is suggested that care be taken to enhance linguistic processing and to employ well-defined terms.

• Journal of the Korean earth science society
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• v.25 no.7
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• pp.532-544
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• 2004

The purpose of this study is to analyze the concept concerned with Earth's rotation as passed by tenth graders whose interest in earth's rotation and learning styles were varied. To examine student's interest in the Earth's rotation, 4students (visual-verbal learning style student with much interest, visual learning style student with much interest, visual learning style student with little interest, and verbal learning style student with little interest) were chosen for study. Personal interview was used for this study. To probe students' conception in varied ways, they were allowed to make gesture and draw pictures through data collection process, except for interviews. And the data were analyzed one by one. The result of this study were as follows: First, the student with much interest was faster to answer the questions about Earth's rotation than the one with little interest. Also he comprehended better and was able to explain reasons coherently. Second, there was little difference according to student's learning style. Third, one of the repeated misconception was direction. For thinking that is the right side is the east side, students have misconception that the sun goes from right to left and stars in north sky move clock-wise.

• Annual Conference on Human and Language Technology
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• 2010.10a
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• pp.114-117
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• 2010

특정 대상 또는 외부 자극에 대해 반사적이고 직관적으로 발생하는 느낌으로 정의되는 감성은 자신의 경험을 바탕으로 개개인이 서로 다른 반응을 보이는 특징을 가진다. 이러한 감성은 맞춤형, 적응형 및 개인화된 서비스를 요구하는 현대사회에서 반드시 필요하고 연구되어야 하는 대상이다. 하지만, 감성은 외부 자극에 따라 빠르게 변하고 객관성을 유지하기 어려울 뿐 아니라 복합적으로 나타나기 때문에 측정하거나 표현하기가 매우 어렵다. 시각정보는 감성을 이해하고 전달하는 데 큰 비중을 차지하며, 대상에 대한 종합적인 정보를 전달하여 빠르게 인지하고 이해하는데 많은 도움을 준다. 그 중 색채정보는 대상의 객관적인 특정, 심리적 속성 및 사회적 배경을 반영할 수 있어 복합적인 감성을 효과적으로 표현하고 전달한다. 많은 연구를 통해 감성과 색채정보 간의 관계를 생성하고 정의하였지만, 단일 시각정보로 감성을 표현하는 것은 한계가 있다. 본 논문에서는 종합적인 시각정보를 고려한 감성연구를 제안하기 위해 대용량의 감성어휘와 이미지를 수집하였다. 감성어휘는 The Center for the Study of Emotion and Attention(CSEA)에서 생성한 균형 감성어휘 중 273개를 사용하였고 감성이미지는 객관성과 공통성을 유지하기 위해 사용자의 참여가 활발하고 이미지에 부착된 태그가 비교적 정확한 Flickr를 사용하여 수집하였다. 감성어휘 당 약 500개의 이미지를 수집하고자 시도하였고, 총 130,944개의 감성이미지 후보를 수집하였다. 한 번 수집된 이미지는 중복을 피하였고, JPEG형식으로 저장되어 있다. 또한, 각 이미지에는 사용자 태그가 평균적으로 약 25개가 포함되어 있고, 총 2,l47,645개의 태그를 수집하였다.

• The Journal of Dong Guk Oriental Medicine
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• v.8 no.2
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• pp.25-46
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• 2000

Pain can be evaluated by experimental methods and clinical methods, but due to subjective characteristics of pain, clinical methods are generally used. The clinical pain measurement tools are divided into unidimensional and multidimensional assessment tools. The former include Visual Analogue Scale, Verbal Rating Scale, Numerical Rating Scale, Pain Faces Scale, and Poker Chip Tool and the latter include McGill Pain Questionnaire, MMPI, Pain Behavior Scale, Pain disability index, and Pain Rating Scale. Unidimensional pain scales mainly measure the intensity of pain on the basis of the patient's self report and their simple construction and ease of use enable the invesgator to assess acute pain. Multidimensional pain scales are used to evaluate subjective, psychological and behavioral aspects of pain and because of its comprehensive and confidential properties they are applied to chronic pain. Patient's linguistic and cognitive abilities are major factors to restrain accurate assessment of pain. Although behavioral patterns and vital sign are inferior to self-report in the measurement of pain, they can be useful indexes in those situations. When deciding on a pain-assessment tool, the investigator must determine which aspect of pain he or she wishes to evaluate on the characteristics of the group of patients, their backgrounds, and their communication skills. Making the proper choice will facilitate the acquisition of meaningful data and the formulation of valid conclusions.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.25-31
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• 2018

Online news has replaced the traditional newspaper and has brought about a profound transformation in the way we access and share information. News websites have had the ability for users to post comments for quite some time, and some have also begun to crowdsource reactions to news articles. The field of sentiment analysis seeks to computationally model the emotions and reactions experienced when presented with text. In this work, we analyze more than 100,000 news articles over ten categories with five user-generated emotional annotations to determine whether or not these reactions have a mathematical correlation to the news body text and propose a simple sentiment analysis algorithm that requires minimal preprocessing and no machine learning. We show that it is effective even for a morphologically complex language like Korean.