• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1122-1128
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• 2009

In cell phone, factor of external and internal are important. Many people look appearance at first time. The main aim of this study is to know users affect on weight of cell phone. For the evaluation based on weight of cell phone, 46 participants took part in this study. They carried four cell phone which different weigh. After that they made up questionnarie. The result, the people felt positive affect in a light cell phone and negative affect in weighty cell phone. They preferred a light cell phone. But there were not statistically meaning difference in affect of luxurious. It be used when the cell phone which has special target is made.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.528-541
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• 2014

The purpose of this study is to analyze Yun Chi-ho's English Diary both quantitatively and qualitatively. A corpus of 574 diary texts is created from his first and last years in an English speaking environment, and analyzed by two language analysis programs, RANGE and Coh-Metrix. His later diaries have more words in total, and longer average sentence length than his earlier diaries. Also, the Coh-Metrix indices in syntactic complexity and referential cohesion are higher in his later diaries. A qualitative analysis of 57 diary texts shows some improvement in his use of language forms. The most frequent topics of his journals are Christianity, everyday life, politics of Korea and his English studies. His constant effort to keep his journal and correspondence with foreigners, almost all in English, is estimated as one of the key factors for his successful English acquisition. Educational implications for EFL writing courses are discussed.

• Korean Journal of Cognitive Science
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• v.23 no.3
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• pp.323-348
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• 2012

Three experiments were conducted to explore the interaction of personal pronoun (e.g. 'I' and 'you') and emotional evaluation (e.g. positive and negative) using time-course (e.g. SOA 500-1000ms) and multi-task approaches (e.g. lexical decision task and primed naming task). In Experiment 1, Participants were presented personal pronoun as primes at SOA 1000ms and were asked to response emotional words which were differed in emotional attributes. The results showed that the interaction effects of personal pronoun and emotional words were found. In Experiment 2, Participants were presented personal pronoun as primes at SOA 1000ms and were asked to response emotional words which were differed in emotional attributes. The results showed that no effects were found. In Experiment 3, Participants were presented personal pronoun as primes at SOA 500ms and were asked to pronounce emotional words which were differed in emotional attributes. The results showed that the interaction of personal pronoun and emotional words were found. The results of 3 experiments were discussed from a point of view of dynamic processes of social cognition.

• Proceedings of the Korean Society for the Gifted Conference
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• 2003.05a
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• pp.131-135
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• 2003

과학영재교육의 중요한 목표중의 하나는 과학영재들의 과학에 대한 태도를 긍정적으로 변화시키는 것이다. 특히 태도와 같은 정의적 특성은 지적 특성에 비하여 후천적이고, 학습에 의해서 변화될 가능성이 크기 때문에(Marsh, 1990) 교육적으로 중요한 의미를 가지며 학생들이 성장하여 과학에 관련된 직업이나 활동을 하는 데 매우 중요한 역할을 한다(Oliver, W Hill, Pettus, W. C. and Hedin, B. A 1990). Anderson(1981)은 과학에서의 정의적 영역을 흥미, 태도, 가치, 통제의 소재, 학문적 자아개념, 불안, 선호 등의 7가지 영역으로 나누고 이 중에서 불안요인을 학업성취 및 태도에 가장 강하게 영향을 주는 요인으로 구분한 바 있다. 이처럼 과학 관련 태도나 과학 불안도는 학생들의 과학관련 활동이나 성취에 중요한 요인이 되고 있으나 이와 관련된 연구는 극히 미미하다. 지금까지의 태도 및 불안도에 관한 연구들은 일반학생들을 대상으로 하고 있으며 과학영재들을 대상으로 한 연구는 전혀 이루어지지 않았다. 따라서 본 연구는 과학영재교육원에 다니는 194명의 과학영재들을 대상으로 하여 과학영재 수업을 받은 후 과학 관련 태도와 과학 불안도가 변하는지, 과학 관련 태도와 과학 불안도는 어떠한 상관이 있는지, 그리고 남$\square$녀 집단의 차이가 있는지를 영재수업을 받기 전과 후의 검사를 통하여 알아보았다. 본 연구에서는 과학영재들의 과학 관켠 태도를 측정하기 위해‘고등학생을 위한 과학 관련 태도’검사를 사용하였다. 이 검사는 Fraser(1981)가 개발한‘TOSRA’(Test of Science-Related Attitudes)와 Munby(1983)의‘태도 측정 도구 조사’에서 문항 선정이 이루어졌다. 적절한 단어 및 어휘, 일부 문항들의 부적절한 환경 상황 등을 고려하여 40 문항 중 21문항을 수정하거나 삭제하고 문항내적 상관이 낮은 4문항을 제거하여 최종 30문항을 제시하였다(고유곤, 1996). 이 검사의 문항 내적 신뢰도 $\alpha$ 는 0.9 이었다. 검사 문항은 4개 범주과학에 대한 태도, 과학의 사회적 의미, 과학 교과에 대한 태도, 과학적 태도 등과 각 범주의 하위 문항으로 되어 있다 과학 불안도 측정 검사 도구는 중$\square$고등학생들의 과학불안도 측정을 위해 김범기(1993)가 개발한 것을 사용하였다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.3
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• pp.79-84
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• 2019

Based on the assumption that the environmental color of the general hospital would affect the psychological and emotional aspects of the users, this study conducted an emotional evaluation of the environmental color of the lobby of the general hospital. The purpose of the research is to examine the requirements of environmental colors that are more positive and give psychological satisfaction when planning the general hospital's environmental color. For this, eight major general hospitals in Korea were directly inspected for environmental colors, and based on this, color palette was created to conduct an emotional vocabulary evaluation. As a result, it was found that the effects of brightness among the color factors affecting the environmental color sensitivity evaluation were greater, and that the greater the variation in the range of degrees and colors, the more negatively it was found to affect the emotional response.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.341-348
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• 2022

Formulaic sequences are continuous or discontinuous series of words that are seemingly treated like single units. Formulaic sequences play a key role in language development, and formulaic sequences acquisition determines the success or failure of language development. This study proposes a reading aloud activity as a way for international students to learn formulaic sequences. A class focused on reading aloud was conducted with 41 international students taking a general English course at a university in Seoul. For 15 weeks, video lectures and real-time Zoom classes were conducted in parallel. The animated film Frozen was used as course material. In the video lectures, the teacher interpreted the movie script in easy Korean and read aloud formulaic sequences. Students were tasked with reading the sentences with formulaic sequences aloud, recording themselves reading aloud, and submitting their recordings. During real-time class meetings, students performed the activity of reading aloud the formulaic sequences they had studied in the video lectures. There was a significant increase in the interpretation and sentence writing of formulaic sequences in participants' post-evaluation compared to the pre-evaluation. Through the study's survey, students exhibited positive views in the affective domains.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.267-272
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• 2021

This study's purpose is to investigate the effects of reading movie scripts aloud in non-face-to-face general English courses on international students' English ability in the COVID-19 era. A general English class was delivered once a week for 15 weeks to 47 international students at a Seoul-based university. The animated movie Tangled and its script were used as learning materials. Biweekly, students had to watch video lectures using the university's learning management system(LMS) and read scripts aloud through Zoom. In the video lectures, the teacher went over specific vocabulary and interpreted the movie scripts in easy Korean. For the second activity through Zoom, international students read the movie script aloud individually and in groups. The post-test revealed significant improvements in both reading and writing, as compared to the pre-test. Through the study's survey, participants exhibited positive attitudes in affective domains(understanding, satisfaction, interest, and recommendation).

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.393-402
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• 2016

To compensate for limited the satisfaction survey currently conducted by Korea Metrological Administration (KMA), a sentiment analysis via a social networking service (SNS) can be utilized. From 2011 to 2014, with the sentiment analysis, Twitter who had commented 'KMA' had collected, then, using $Na{\ddot{i}}ve$ Bayes classification, we were classified into three sentiments: positive, negative, and neutral sentiments. An additional dictionary was made with morphemes appeared only in the positive, negative, and neutral sentiments of basic $Na{\ddot{i}}ve$ Bayes classification, thus the accuracy of sentiment analysis was improved. As a result, when sentiments were classified with a basic $Na{\ddot{i}}ve$ Bayes classification, the training data were reproduced about 75% accuracy rate. Whereas, when classifying with the additional dictionary, it showed 97% accuracy rate. When using the additional dictionary, sentiments of verification data was classified with about 75% accuracy rate. Lower classification accuracy rate would be improved by not only a qualified dictionary that has increased amount of training data, including diverse keywords related to weather, but continuous update of the dictionary. Meanwhile, contrary to the sentiment analysis based on dictionary definition of individual vocabulary, if sentiments are classified into meaning of sentence, increased rate of negative sentiment and change in satisfaction could be explained. Therefore, the sentiment analysis via SNS would be considered as useful tool for complementing surveys in the future.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.193-205
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• 2021

The AI speaker market is growing steadily. However, the satisfaction of actual users is only 42%. Therefore, in this paper, we collected reviews on Amazon Echo Dot 3rd and 4th generation models to analyze what hinders the user experience through the topic changes and emotional changes of each generation of AI speakers. By using topic modeling analysis techniques, we found changes in topics and topics that make up reviews for each generation, and examined how user sentiment on topics changed according to generation through deep learning-based sentiment analysis. As a result of topic modeling, five topics were derived for each generation. In the case of the 3rd generation, the topic representing general features of the speaker acted as a positive factor for the product, while user convenience features acted as negative factor. Conversely, in the 4^th generation, general features were negatively, and convenience features were positively derived. This analysis is significant in that it can present analysis results that take into account not only lexical features but also contextual features of the entire sentence in terms of methodology.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.113-125
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• 2013

Every company wants to know customer's requirement and makes an effort to meet them. Cause that, communication between customer and company became core competition of business and that important is increasing continuously. There are several strategies to find customer's needs, but VOC (Voice of customer) is one of most powerful communication tools and VOC gathering by several channels as telephone, post, e-mail, website and so on is so meaningful. So, almost company is gathering VOC and operating VOC system. VOC is important not only to business organization but also public organization such as government, education institute, and medical center that should drive up public service quality and customer satisfaction. Accordingly, they make a VOC gathering and analyzing System and then use for making a new product and service, and upgrade. In recent years, innovations in internet and ICT have made diverse channels such as SNS, mobile, website and call-center to collect VOC data. Although a lot of VOC data is collected through diverse channel, the proper utilization is still difficult. It is because the VOC data is made of very emotional contents by voice or text of informal style and the volume of the VOC data are so big. These unstructured big data make a difficult to store and analyze for use by human. So that, the organization need to automatic collecting, storing, classifying and analyzing system for unstructured big VOC data. This study propose an intelligent VOC analyzing system based on opinion mining to classify the unstructured VOC data automatically and determine the polarity as well as the type of VOC. And then, the basis of the VOC opinion analyzing system, called domain-oriented sentiment dictionary is created and corresponding stages are presented in detail. The experiment is conducted with 4,300 VOC data collected from a medical website to measure the effectiveness of the proposed system and utilized them to develop the sensitive data dictionary by determining the special sentiment vocabulary and their polarity value in a medical domain. Through the experiment, it comes out that positive terms such as "칭찬, 친절함, 감사, 무사히, 잘해, 감동, 미소" have high positive opinion value, and negative terms such as "퉁명, 뭡니까, 말하더군요, 무시하는" have strong negative opinion. These terms are in general use and the experiment result seems to be a high probability of opinion polarity. Furthermore, the accuracy of proposed VOC classification model has been compared and the highest classification accuracy of 77.8% is conformed at threshold with -0.50 of opinion classification of VOC. Through the proposed intelligent VOC analyzing system, the real time opinion classification and response priority of VOC can be predicted. Ultimately the positive effectiveness is expected to catch the customer complains at early stage and deal with it quickly with the lower number of staff to operate the VOC system. It can be made available human resource and time of customer service part. Above all, this study is new try to automatic analyzing the unstructured VOC data using opinion mining, and shows that the system could be used as variable to classify the positive or negative polarity of VOC opinion. It is expected to suggest practical framework of the VOC analysis to diverse use and the model can be used as real VOC analyzing system if it is implemented as system. Despite experiment results and expectation, this study has several limits. First of all, the sample data is only collected from a hospital web-site. It means that the sentimental dictionary made by sample data can be lean too much towards on that hospital and web-site. Therefore, next research has to take several channels such as call-center and SNS, and other domain like government, financial company, and education institute.