• Journal of Digital Convergence
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• v.11 no.8
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• pp.23-30
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• 2013

This study attempt to explore relation between parents-adolescent communication and family resilience objects to university students. For this, we study a difference of parents-adolescent communication and subfactors of family resilience according to demographic characteristics, and a relation between parents-adolescent communication and sub-factors of family resilience. In difference of parents-adolescent communication results of analysis are as follows. Dialogue time with father, age, and dialogue time with mother are significant. Also, in difference of between sub-factors of family resilience according to demographic characteristics, the more monthly income of family, the longer time of dialogue with parents, family resilience is high.

• Journal of Multimedia Information System
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• v.5 no.3
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• pp.209-214
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• 2018

Today is the era of artificial intelligence. With the development of artificial intelligence, machines have begun to impersonate various human characteristics today. Chatbot is one instance of this interactive artificial intelligence. Chatbot is a computer program that enables to conduct natural conversations with people. As mentioned above, Chatbot conducted conversations in text, but Chatbot, in this study evolves to perform commands based on speech-recognition. In order for Chatbot to perfectly emulate a human dialogue, it is necessary to analyze the sentence correctly and extract appropriate response. To accomplish this, the sentence is classified into three types: objects, actions, and preferences. This study shows how objects is analyzed and processed, and also demonstrates the possibility of evolving from an elementary model to an advanced intelligent system. By this study, it will be evaluated that speech-recognition based Chatbot have improved order-processing time efficiency compared to text based Chatbot. Once this study is done, speech-recognition based Chatbot have the potential to automate customer service and reduce human effort.

• Journal of Korea Game Society
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• v.20 no.4
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• pp.111-124
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• 2020

This paper analyzed the dialogue language of 'Maple Story' NPC from the perspective of learned optimism. Not only is NPC's language a key skill in artificial intelligence language, it also plays a big role in giving game users fun and desire to achieve. In this paper, as a result of analyzing the dialogue language of NPCs by utilizing the two key dimensions of NPC's learned optimistic explanation form: permanence and pervasiveness, the rate of characters' conversations using optimistic languages was 6%~7%. It was confirmed the important consideration in NPC artificial intelligence development.

• The Journal of Korean Association of Computer Education
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• v.10 no.3
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• pp.67-73
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• 2007

In this paper, we review essential constituents of a dialogue interface system and propose practical methods to implement the each constituent. The implemented system consists of a discourse manager, an intention analyzer, a named entity recognizer, a SQL query generator, and a response generator. In the progress of implementation, the intention analyzer uses a maximum entropy model based on statistics because the domain dependency of the intention analyzer is comparatively low. The others use a simple pattern matching method because they needs high domain portability. In the experiments in a schedule arrangement domain, the implemented system showed the precision of 88.1% in intention analysis and the success rate of 83,4% in SQL query generation.

• Journal of the Korean Vacuum Society
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• v.19 no.6
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• pp.408-414
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• 2010

For sustainable and responsible development of nanotechnology, the risk issues in nanomaterials must be properly addressed despite the lack of relevant knowledge and regulations. In this paper, 'Nanosmile' as an example of web-based tool for education and dialogue for the risk issues, is introduced. First developed at Atomic Energy Commissary (CEA) for in-house training, Nanosmile was integrated to European project NanoSafe2 in 2006 and evolved into an interactive website opening to the public at large. The feedback during the training process, perspectives and limitations of the website are also presented.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.49-55
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• 2019

The character dialogue created by AI is unnatural when compared with human-made dialogue, and it can not reveal the character's personality properly in spite of remarkable development of AI. The purpose of this paper is to classify characters through the linguistic style and to investigate the relation of the specific linguistic style with the personality. We analyzed the dialogues of 92 characters selected from total 60 movies categorized four movie genres, such as romantic comedy, action, comedy and horror/thriller, using Linguistic Inquiry and Word Count (LIWC), a text analysis software. As a result, we confirmed that there is a unique language style according to genre. Especially, we could find that the emotional tone than analytical thinking are two important features to classify. They were analyzed as very important features for classification as the precision and recall is over 78% for romantic comedy and action. However, the precision and recall were 66% and 50% for comedy and horror/thriller. Their impact on classification was less than romantic comedy and action genre. The characters of romantic comedy deal with the affection between men and women using a very high value of emotional tone than analytical thinking. The characters of action genre who need rational judgment to perform mission have much greater analytical thinking than emotional tone. Additionally, in the case of comedy and horror/thriller, we analyzed that they have many kinds of characters and that characters often change their personalities in the story.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.179-185
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• 2019

A core technology of social robot is voice recognition and dialogue engine technology, but too much money is needed for development and an implementation of robot's conversation function is difficult resulting from insufficiency of performance. Dialogue function's implementation between human and robot can be possible due to advance of cloud AI technology and several company's supply of their open API. In this paper, current intelligent social robot technology trend is investigated and effective social robot system architecture is designed. Also an effective analysis and design method of social robot system will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.1-11
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• 2021

In this study, we introduce trends in and the future of digital personal assistants. Recently, digital personal assistants have begun to handle many tasks like humans by communicating with users in human language on smart devices such as smart phones, smart speakers, and smart cars. Their capabilities range from simple voice commands and chitchat to complex tasks such as device control, reservation, ordering, and scheduling. The digital personal assistants of the future will certainly speak like a person, have a person-like personality, see, hear, and analyze situations like a person, and become more human. Dialogue processing technology that makes them more human-like has developed into an end-to-end learning model based on deep neural networks in recent years. In addition, language models pre-trained from a large corpus make dialogue processing more natural and better understood. Advances in artificial intelligence such as dialogue processing technology will enable digital personal assistants to serve with more familiar and better performance in various areas.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.205-209
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• 2022

페르소나 대화 시스템이 상대방의 개인화된 정보에 일관된 응답을 생성하는 것은 상당히 중요하며, 이를 해결하기 위해 최근에 많은 연구들이 활발히 이루어지고 있다. 그 중, PersonaChat 데이터셋에 대해 수반/중립/모순 관계를 라벨링한 DialoguNLI 데이터셋이 제안되었으며, 일관성 측정, 페르소나 속성 추론 태스크 등 여러 분야에 활용되고 있다. 그러나, 공개적으로 이용가능한 한국어로 된 대화 추론 데이터셋은 없다. 본 연구에서는 한국어로 번역된 페르소나 대화 데이터셋과 한국어 자연어 추론 데이터셋에 학습된 모델을 이용하여 한국어 대화 추론 데이터셋(KorDialogueNLI)를 구축한다. 또한, 사전학습된 언어모델을 학습하여 한국어 대화 추론 모델 베이스라인도 구축한다. 실험을 통해 정확도 및 F1 점수 평가 지표에서 KLUE-RoBERTa 모델을 미세조정(fine-tuning)시킨 모델이 가장 높은 성능을 달성하였다. 코드 및 데이터셋은 https://github.com/passing2961/KorDialogueNLI에 공개한다.

• The Journal of Korean Philosophical History
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• no.32
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• pp.113-159
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• 2011

The self-segmentation of Seoin(西人) School and the appearance of Soron(少論) School in the 17th century Joseon society has an important meaning in the political history. Soron School(少論學派) had quite different line in their thought and public position from the Noron(老論) School represented by Song Shi-yeol. With such thought and position, Soron School added a vitality to the barren climate of Joseon intellectual society and soon became an important school of it. Especially, the senior leaders of early Soron School shared the culture of discussion and dialogue which was represented by the phrase, "the forest of debate and the hill of argument". Accordingly, Soron School could form an unique academic tradition which was different from other schools. For instance, Park Se-dang(朴世堂), Nam Gu-man(南九萬), Yoon Jeung(尹拯) and Park Se-chae(朴世采) had relatively flexible Conception of Heresy; which was in the same context with the academic position of Soron School that allowed diverse approaches to truth each as the path of justice. Furthermore, the leaders of Soron School continued dialogue and discussion on the wide range of current issues. They deeply sympathized with the Tangpyeong-ron(蕩平論), which was to appoint important government positions equally from multiple schools. They thought that the Tangpyeong-ron(蕩平論) was to avoid the harmful influence of conflicts between schools, the Bungdang(朋黨), and tried to tune and compromise the different opinions of different schools. In fact, the "Hwanggeuk Tangpyeong-ron" (皇極蕩平論) submitted by Park Se-chae was the summarization of the discussions shared by the Soron School leaders. Consequently, the seniors of Soron School practiced their philosophy that "the true academic practice is the communication" by keeping the dialogue with other schools while respecting the difference of each other, rather than staying comfortably in the closed academic fence of uniformity. Such communicative academic practice adopting discussion and dialogue had been succeeded to the second generation of Soron School and it remained as an unique academic tradition of Soron School.