• Journal of Music and Human Behavior
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• v.21 no.2
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• pp.107-134
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• 2024

This study aims to classify the semantic words commonly used to evaluate sound quality and to analyze their differences in reflecting the level of musical stimuli. Participants were thirty-one music majors in their 20s and 30s, with an average of 9.4 years of professional training. Each participant listened to nine pieces of music with variations in texture and instrument type and evaluated them using 18 pairs of semantic words describing sound quality. A factor analysis was conducted to group words influenced by the same latent factor, and a multivariate ANOVA determined the differences in ratings based on texture and instrument type. Radar charts were also drawn based on the identified sets of semantic words. The results showed that four factors were identified, and the word pairs 'soft-hard,' 'dull-sharp,' 'muddy-clean' and 'low-high' showed significant differences based on the level of musical stimuli. The radar charts effectively distinguished the sound quality evaluations for each music. These results indicate that developing Korean semantic words for sound quality evaluation requires a structure different from the previous categories used in Western countries and that linguistic and cultural factors are crucial. This study will provide foundational data for developing a verbal sound quality evaluation framework suited to the Korean context, while reflecting acoustic attributes in music listening.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.30-35
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• 2008

The purpose of this study is to analyze and define user's emotional satisfaction factors to the PC OS GUI image. The study is to investigate the relationship between PC OS GUI Image and Sensitive Vocabula교 based on user's emotional preference. 47 user preferred sensitive words are collected by the initial survey. Through the similarity test, 47 words are narrowed down to 20 comprehend words. The semantic differential methods is used in the final survey with 5 step questionnaire. From this process, user preferred the GUI design that is vocabularized as Clear, Easy, Safety, Stability. Additionally, the result shows that the image of Clear is related to Safety and the image of Easy is related to Stability. The result of the study could be used in design PC OS GUI as base data.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.629-642
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• 2015

The aim of this study is to investigate the efficacy of pair/group work on the improvement of receptive and productive vocabulary knowledge. One hundred and twelve university students participated in the study and they were divided into three groups. Pair work group(n=42) performed three vocabulary activities in pairs as extra-class works, and Individual work group(n=38) did them alone. On the other hand, Group work group(n=32) did the activities in groups consisting of four or five people during the class. Data were collected from one pretest and two posttest scores. The results showed that collaborative group work was conducive to the growth of both receptive and productive vocabulary knowledge. In contrast, pair groups who do not work collaboratively gained least vocabulary knowledge among three groups. From collaborative group work, participants in higher proficiency levels made greater vocabulary gains than those at lower levels. Based on these results, pedagogical implications are discussed.

• The KIPS Transactions:PartB
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• v.18B no.5
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• pp.325-332
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• 2011

Social Network Services(SNS) such as Twitter, Facebook and Myspace have gained popularity worldwide. Especially, sentiment analysis of SNS users' sentence is very important since it is very useful in the opinion mining. In this paper, we propose a new sentiment classification method of sentences which contains formal and informal vocabulary such as emoticons, and newly coined words. Previous methods used only formal vocabulary to classify sentiments of sentences. However, these methods are not quite effective because internet users use sentences that contain informal vocabulary. In addition, we construct suggest to construct domain sentiment vocabulary because the same word may represent different sentiments in different domains. Feature vectors are extracted from the sentiment vocabulary information and classified by Support Vector Machine(SVM). Our proposed method shows good performance in classification accuracy.

• Education of Primary School Mathematics
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• v.25 no.4
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• pp.361-375
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• 2022

In this study, the vocabularies in elementary mathematics textbooks for grade 1-2 were analyzed according to 9-degree of semantic system. Also, the types of vocabulary were analyzed using general academic words, mathematics specific concept words, and mathematics general concept words. As a result, percentages of 1-degree and 2-degree vocabulary was the most in both grade 1 and 2 mathematics textbooks. It also shows that some of general academic words were 3-degree vocabulary and some of mathematics specific concept words were either unregistered or 1-degree vocabulary. In particular, general academic words, which are 3-degree vocabulary, may be unfamiliar to 1^st and 2^nd grade students. Therefore, students should be given the opportunity to guess and understand the contextual meaning of general academic words from the given contexts in textbooks. The frequency of use of mathematics general concept words in grade 2 textbook increased significantly compared to grade 1 textbook. Since mathematics general concept words are academic and technical vocabulary they should be taught explicitly. Based on the results of this study, implications for vocabulary instruction in mathematics textbooks were discussed.

• Journal of Naturopathy
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• v.10 no.1
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• pp.48-55
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• 2021

Purpose: People with intellectual disabilities are vulnerable to the use of receptive and expressive vocabulary. The purpose of this study was to investigate the effect on the receptive vocabulary and the expressive vocabulary after teaching reading education to adults with intellectual disabilities living in facilities using picture fairy tales. Methods: The subjects of this study were 12 adults with intellectual disabilities under the age of 20 to 40 residing in residential facilities. They were divided into 6 test groups and 6 control groups, and gave a total of 12 sessions of 60 minutes per session, and reading instruction using picture fairy tales. Results: In the test group that conducted reading activities using picture fairy tales, the use of the receptive vocabulary was significantly improved, and the use of the expressive vocabulary was significantly improved. There were no significant results in all of the control groups. Conclusions: This study had the effect of improving the use of receptive vocabulary and expressive vocabulary after teaching reading using picture fairy tales for the disabled. It is estimated that this result will be the basis for research in this field.

• Archives of design research
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• v.18 no.1 s.59
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• pp.69-80
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• 2005

So far, there have been mary studies on human emotions and the emotional side of products in the field of emotional engineering. Contemporary emotion-related researches have focused mainly on the relationship between product aesthetics and the emotional responses elicited by the products, but little is known about emotions elicited from using the products. In this study we have extracted some emotional words that can come up during user interaction with a product and reveal emotional changes. Firstly, we assembled a set of emotional words that were sufficient to represent a general overview of Korean emotions, collected from various literature studies in the field of psychology, linguistics, emotional engineering. Secondly, we found emotional words from collecting user opinion on the website. In this study, we used heavy traffic websites such as shopping mall and mania sites. Finally the emotional words were collected from verbal protocols by using Think Aloud technique. The collected words were integrated according to standards and they were applied on evaluation survey twice for evaluating their appropriateness. This survey was conducted for identification of emotional expressions while using a product. Finally, we extracted 88 emotional words for measuring user's emotions expressed while using products. And we categorized the 88 words to form 6 groups by using factor analysis. The 6 categories that were extracted as a result of this study, such as aesthetics, satisfaction in usability, novelty, uncomfortable- ness, pleasure and excellence were found to be user's representative emotions expressed while using products. It is expected that emotional words and user's representative emotions extracted in this study will be used as subjective evaluation data that is required to measure user's emotional changes while using a product.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.669-696
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• 2010

Assuming that the whole meaning of a document is a composition of the meanings of each part, this paper proposes to study the automatic grading of movie reviews which contain sentimental expressions. This will be accomplished by calculating the values of semantic segments and performing data classification for each review. The ARSSA(The Automatic Rating System for Sentiment analysis using an Appraisal dictionary) system is an effort to model decision making processes in a manner similar to that of the human mind. This aims to resolve the discontinuity between the numerical ranking and textual rationalization present in the binary structure of the current review rating system: {rate: review}. This model can be realized by performing analysis on the abstract menas extracted from each review. The performance of this system was experimentally calculated by performing a 10-fold Cross-Validation test of 1000 reviews obtained from the Naver Movie site. The system achieved an 85% F1 Score when compared to predefined values using a predefined appraisal dictionary.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.75-83
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• 2018

Multicultural family members have difficulty in educating their children due to language differences. In order to solve these difficulties, it is necessary to provide smart translation services that enable them easily and quickly access real-life vocabularies. However, the current automatic translation technology is being developed in dominant languages such as English, Chinese, and Japanese. There are also limitations to translating special-purpose terms such as documents of schools and instructions of public institutions. In this study, we propose a real-time automatic word translation service for multicultural family members who understand beginner level Korean. The service automatically analyzes the semantics of each word in the Korean sentences and provides a word-by-word translation. This study includes semantic analysis research for Korean language, building multilingual translation knowledge, and fusion study of language education. We evaluated the word translation service for migrant women from Vietnam and Japan and obtained meaningful evaluation results.

• 재활복지
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• v.21 no.2
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• pp.233-246
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• 2017

The present study is a basic study for application of Augmented Reality (AR) to verb teaching for children with language developmental disorders and is intended to examine validity for the list of verbs at the beginning of development. To confirm the validity of the verbs list, the appropriateness of the verbs was evaluated by three professors with certification of KSLP (Korean Speech-Language Pathologist) working in the department of Speech-Language Pathology at the university. The motion validity test was conducted by showing motion implemented as AR to eight master's students in Speech-Language Pathology major, having them record verbs that came to their mind, and evaluating in the conformity. The second motion validity test was conducted by using 5-point Likert scales to 87 undergraduates in Speech-Language Pathology major and having them see the motions in AR and marked the degrees to which them see the motions conform to the relevant verbs on the scales. Using the SPSS 21.0 program, descriptive statics analyses of the results were conducted. Through this all process, thirty verbs were selected as having content validity. It could be seen that when AR based communication system are applied, things and backgrounds that complement the insufficient movements of motions and help motion recognition should be also provided. In future studies, the 3D images of the AR based communication system will be complemented and the content validity will be verified with typically developing children and the children with language developmental disorders.