• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.312-316
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• 2022

The article provides a theoretical substantiation of the pedagogical interaction of the subjects of the educational process in the context of distance learning; taking into account the identified features of the implementation of pedagogical interaction defined teaching methods in distance learning; a course has been developed that reveals the features of the pedagogical interaction of participants in the educational process in conditions of distance learning. To solve the tasks and check starting points, a set of methods was used: theoretical: analysis of philosophical, psychological and pedagogical literature, dissertation research, curricula, analysis of the conceptual and terminological system; empirical: questioning, conversation, self-diagnosis.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.263-268
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• 2023

백채널은 화자의 말에 언어 및 비언어적으로 반응하는 것으로 상대의 대화 참여를 유도하는 역할을 한다. 백채널은 보편형 대화 참여와 반응형 대화 참여로 나뉠 수 있다. 보편형 대화 참여는 화자에게 대화를 장려하도록 하는 단순한 반응이다. 반면에 반응형 대화 참여는 화자의 발화 의도를 파악하고 그에 맞게 반응하는 것이다. 이때 발화의 의미를 파악하기 위해서는 표면적인 의미뿐만 아니라 대화의 맥락을 이해해야 한다. 본 논문에서는 대화 맥락을 반영한 백채널 예측 모델을 제안하고 예측 성능을 개선하고자 한다. 대화 맥락을 요약하기 위한 방법으로 전체 요약과 선택 요약을 제안한다. 한국어 상담 데이터를 대상으로 실험한 결과는 현재 발화만 사용했을 때보다 제안한 방식으로 대화 맥락을 반영했을 때 성능이 향상되었다.

• Journal of The Korean Association For Science Education
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• v.27 no.2
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• pp.134-143
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• 2007

This study explores visitor learning in a natural history museum from the perspectives of situated learning. The purpose of this study is to understand how the visitors construct knowledge from museum experiences through dyadic discourses. The participants were two university students. They moved naturally through the exhibition with no predetermined path in a natural history museum in Korea. Data were collected in the form of audio-recorded dyadic discourses at and between exhibits and were transcribed. The transcription was coded using the conversation coding scheme, and categorized into specific learning types. The findings included (1) the characteristics of learning talks and (2) learning types created by dyadic discourses at and between exhibitions within learning contexts as museum learning experiences. Implications and future research related to visitor learning in informal learning settings were discussed based on the findings.

• Journal of KIISE:Software and Applications
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• v.33 no.3
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• pp.344-355
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• 2006

In daily activities, the interaction between humans and robots is very important for supporting the user's task effectively. Dialogue may be useful to increase the flexibility and facility of interaction between them. Traditional studies of robots have only dealt with simple queries like commands for interaction, but in real conversation it is more complex and various for using many ways of expression, so people can often omit some words relying on the background knowledge or the context of the discourse. Since the same queries can have various meaning by this reason, it is needed to manage this situation. In this paper we propose a method that uses hierarchical bayesian networks to implement mixed-initiative interaction for managing vagueness of conversation in the service robot. We have verified the usefulness of the proposed method through the simulation of the service robot and usability test.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.241-249
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• 2009

Recently, a number of researches related to video annotation and representation have been proposed to analyze video for searching and abstraction. In this paper, we have presented a method to provide the picture elements of conversational participants in video and the enhanced representation of the characters using those elements, collectively called Character-net. Because conversational participants are decided as characters detected in a script holding time, the previous Character-net suffers serious limitation that some listeners could not be detected as the participants. The participants who complete the story in video are very important factor to understand the context of the conversation. The picture elements for detecting the conversational participants consist of six elements as follows: subtitle, scene, the order of appearance, characters' eyes, patterns, and lip motion. In this paper, we present how to use those elements for detecting conversational participants and how to improve the representation of the Character-net. We can detect the conversational participants accurately when the proposed elements combine together and satisfy the special conditions. The experimental evaluation shows that the proposed method brings significant advantages in terms of both improving the detection of the conversational participants and enhancing the representation of Character-net.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.147-175
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• 2020

This study analyzed the effects that digital experience factors influence on purchase intention and the purchase. The study targeted an online shopping mall with a strong digital experience value among industries. The research model was derived by adding variables to independent and mediating variables according to the industry context of online shopping which is based on the theoretical background and previous studies. Product variety, price efficiency, convenience and conversation were used by terms of digital marketing mix as independent variables. Personalization has been very important factor in online shopping malls, and therefore added as a independent variable. Flow has been added as a mediating variable. Purchase and purchase intention has been used as dependent variables. For empirical testing of established research models and generalization of research results, research was conducted on online shopping malls where digital experiences are important. To do this, a survey was conducted for existing users of online shopping malls. In hypothesis testing, the hypothesis was established that product diversity, price efficiency, convenience, conversation and personalization influenced the intention to purchase online shopping. In particular, the product diversity and conversation variable were tested as the most influential factors on purchase intention. For price efficiency and personalization there were no statistically significant effect. Flow has been shown to be a partial mediator between Product variety and purchase intention in online shopping. In particular, in the case of personalization, it was tested to have a significant influence on purchase intention only when there was a flow experience called pleasure and immersion. This is because the flow experience of pleasure and immersion has played a full mediating role and significantly has affected the purchase intention, because the consumers themselves have to carry out the overall purchase journey without human help due to the nature of online. In the digital experience economy, since consumers are mostly digital consumers, where communication and sharing are the basics, they have been conducting digital word-of-mouth communication and sharing naturally before purchasing. Based on these results, theoretical and practical implications were suggested.

• English Language & Literature Teaching
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• v.18 no.1
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• pp.133-151
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• 2012

This study investigates Korean university students' perception of TOEIC courses taught by Korean and native English teachers and test results in an effort to identify better methodologies to teach TOEIC. To find out the student's perceptions of TOEIC classes, a survey was conducted. The one hundred sixty students who attended the TOEIC courses participated in a questionnaire survey at the end of the semester. Based on a survey of students' assumptions toward TOEIC classes and teachers, this paper discusses the skills students feel important to improve their TOEIC scores and what their actual scores show. The research questions were: 1) what are some of the benefits of having a Korean or native English teacher for TOEIC courses? 2) what are some of the drawbacks of having a Korean or native English teacher for TOEIC courses? The results indicated that Korean and native English teachers have an equal chance to become successful teachers, but the methods used by the two groups are not the same in the context of teaching TOEIC courses; in the short term, direct test preparation, dictation and repetition by Korean or native teachers might be good methods for TOEIC courses, however, in the long term, conversation and discussion performed by native teachers may affect scores in a positive way.

• Phonetics and Speech Sciences
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• v.4 no.3
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• pp.129-136
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• 2012

Korean alveolar fricatives are late-developing speech sounds. Most previous research on phonemes used individual words or pseudo words to produce sounds, but word-level phonological analysis does not always reflect a child's practical articulation ability. Also, there has been limited research on articulation development looking at speech production by grammatical morphemes despite its importance in Korean language. Therefore, this research examines the articulation development and phonological patterns of the /s/ phoneme in terms of morphological types produced in children's spontaneous conversational speech. The subjects were twenty-two typically developing 3- and 4-year-old Koreans. All children showed normal levels in three screening tests: hearing, vocabulary, and articulation. Spontaneous conversational samples were recorded at the children's homes. The results are as follows. The error rates decreased with increasing age in all morphological contexts. Also, error percentages within an age group were significantly lower in lexical morphemes than in grammatical morphemes. The stopping of fricative sounds was the main error pattern in all morphological contexts and reduced as age increased. This research shows that articulation performance can differ significantly by morphological contexts. The present study provides data that can be used to identify the difficult context for articulatory evaluation and therapy of alveolar fricative sounds.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.149-160
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• 2017

Sentiment analysis is the process of determining whether a piece of document, text or conversation is positive, negative, neural or other emotion. Sentiment analysis has been applied for several real-world applications, such as chatbot. In the last five years, the practical use of the chatbot has been prevailing in many field of industry. In the chatbot applications, to recognize the user emotion, sentiment analysis must be performed in advance in order to understand the intent of speakers. The specific emotion is more than describing positive or negative sentences. In light of this context, we propose deep learning models for conducting multi-class sentiment analysis for identifying speaker's emotion which is categorized to be joy, fear, guilt, sad, shame, disgust, and anger. Thus, we develop convolutional neural network (CNN), long short term memory (LSTM), and multi-layer neural network models, as deep neural networks models, for detecting emotion in a sentence. In addition, word embedding process was also applied in our research. In our experiments, we have found that long short term memory (LSTM) model performs best compared to convolutional neural networks and multi-layer neural networks. Moreover, we also show the practical applicability of the deep learning models to the sentiment analysis for chatbot.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.191-198
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• 2016

This paper aims to present how to design and implement a multimedia tutorial system for the self-learning French language using Director with additional tools. To implement a multimedia tutorial system we need to design several steps. First, we should choose the level of the users and design tutorial. Second, we should prepare all materials such as sounds, graphics, text and video. Finally, we should implement the selected elements and control the educational software. Due to the nature of the paper, it must emphasize French basic conversation to make environment that be used in each scene and the scene of the context dialog. In view of the fact that the fitness of each content utilization field of multimedia authoring tool is high, it is possible as part of the system sizing process of the manufacturing process, to impart its meaning. This learning-contents are composed of 10 units each situation, and we anticipate there are the several effects of this system on basic French students. This system helps lecturer get French students interested in lessons, and enables learner to learn French of the role of iterative practice by linking image and sound. Also this system helps learners to prepare and review French studying after a lesson and allows leaners to maximize their efficiency. The future of this work is to implement this system on the app.