• 정보교육학회논문지
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• 제9권1호
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• pp.99-112
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• 2005

본 연구에서는 초등학생들이 사용하는 채팅 언어를 분석하고 이를 통해 발견된 특성을 제시하며, 나아가 이를 해결할 수 있는 방안을 제안한다. 채팅언어의 분석은 문장들 간의 유기적 관계를 고려하여 형식상, 내용상, 통계상의 특성으로 구분하여 분석한다. 분석 결과로 유아발음으로 변형되어 쓰기, 음절의 앞 뒤 바꾸어 쓰기, 상대방이 불분명한 대화와 같은 새로운 특성이 발견되었다. 분석 결과를 통하여 언어의 오용을 최소화하고, 아동의 정서발달에 긍정적인 채팅 문화를 정착시키기 위해 채팅 관련 컴퓨터 시스템적 방안을 제안한다.

• 한국IT서비스학회지
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• 제16권4호
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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.

• 대한간호학회지
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• 제40권1호
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• pp.1-13
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• 2010

Purpose: The purpose of this study was to develop evaluation criteria for conversations about medication and to demonstrate conversational analysis with actual dialogues on medication as examples. Methods: This study was a secondary analysis of qualitative research using conversational analysis which showed functional phases and patterns of dialogue about medication (greeting, identifying the patient, medicating, finishing). Nurse-patient conversations were videotaped and transcribed and 75 conversations were used for analysis. Results: Not all functional phases were showed in the conversations about medication. Therefore, conversations about medication can be considered as incomplete dialogues. The evaluation-criteria were represented in terms of the structure and content of the dialogues. Structural evaluation-criteria were the same as the functional phases, as functional stage is the standard for evaluation. The criteria of evaluation for content suggested 3 domains, content, expression, and interaction with 20 items scored on a Likert-type scale of 5-points. Finally, analysis of actual conversations about medication according to the evaluative criteria were provided. Conclusion: The results provide the basic data to develop educational programs and strategies to improve nurses’ competency in conversation about medication.

• 대한조선학회논문집
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• 제55권3호
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• pp.222-235
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• 2018

The hydrocarbon gas leak in the offshore plant can cause large accidents and lead to significant damages to human, property and environment. For prevention of fire or explosion accidents from gas leak, a SIS(Safety Instrumented System) should be installed. In the early stage of the offshore design, required SIL(Safety Integrated Level) is determined and reliability analysis is performed to verify the design in reliability aspects. This study collected data, information related to reliability analysis and created knowledge model of safety design for the offshore system with MBSE(Model-Based Systems Engineering) concept. Knowledge model could support safety engineer's design tasks as the guidance of reliability analysis procedure of safety design and make good conversation with other engineers in yard, class, company, etc.

• 아시아태평양코퍼스연구
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• 제2권1호
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• pp.23-34
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• 2021

This research examines Japanese non-native speakers' (JNNS) modal auxiliary verb use from two different perspectives: frequency of use and preferences for modalities. Additionally, error analysis is carried out to identify errors in modal use common among JNNSs. Their modal use is compared to that of English native speakers within a spoken dialogue corpus which is part of the International Corpus Network of Asian Learners' English. Research findings show at a statistically significant level that when compared to native speakers, JNNSs underuse past forms of modals and infrequently convey epistemic modality, indicating the possibility that JNNSs fail to express their opinions or thoughts indirectly when needed or to convey politeness appropriately. Error analysis identifies the following three types of common errors: (1) the use of incorrect tenses of modal verb phrases, (2) the use of inflected verb forms after modals, and (3) the non-use of main verbs after modals. The first type of error is largely because JNNSs do not master how to express past meanings of modals. The second and third types of errors seem to be due to first language transfer into second language acquisition and JNNSs' overgeneralization of the subject-verb agreement rules to modals respectively.

• 한국정보시스템학회지:정보시스템연구
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• 제15권2호
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• pp.247-270
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• 2006

This study identifies communication patterns of groups using Instant Messenger for their group decision-making, and examines how these patterns are associated with creative solutions to problems. Our research suggests that certain communication behavior of groups, when appropriately organized, can be of help in enhancing creative production of outcomes. A qualitative study was conducted on communication patterns based on an analysis of text-based electronic conversation protocols. Specifically this research tried to overcome existing studies on electronic groups by focusing on interactive process of communication among participants. The major study conclusions are: (1) Satisfation of group decision-making may depend on the process or sequence of discussion among group members with Instant Messenger. That is, proper interactive responses and appropriate control of the discussion process are essential to obtain a high level of performance. (2) It is important to ]mike discuss rules based on meta-cognitive and interactive protocols in the early stage. Explicit rules relating to internal group processes as well as communication medium use are even more important to groups with Instant Messenger than face-to-face groups.

• 한국인터넷방송통신학회논문지
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• 제19권1호
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• pp.179-185
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• 2019

소셜로봇의 핵심기술은 음성인식 및 대화엔진인데 이를 개발하는데 많은 비용이 들고 음성인식률 및 대화엔진의 성능의 부족으로 인한 로봇과의 대화기능 구현이 어려웠다. IoT 기반의 클라우드 인공지능 기술의 발전과 여러 기업이 이들 오픈 API 제공으로 로봇과 인간과의 대화 기능 구현이 가능하게 됐다. 본 논문에서는 기존의 지능형 소셜로봇 기술동향을 조사하고 효율적인 IoT 기반 소셜로봇 시스템 구조를 설계한다. 또한 객체지향방법을 이용한 사용자 요구사항 분석, 플로우 차트 및 화면 설계를 보여줌으로 효과적인 소셜로봇 소프트웨어 분석 및 설계 방법을 제시하고자 한다.

• 한국학교ㆍ지역보건교육학회지
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• 제9권2호
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• pp.65-80
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• 2008

Objectives: To identify the relationship between the internet addition of elementary school students, and their health behavior and VDT syndrome, and thereby to detect the impact of internet addiction on the health behavior of elementary school students, to get the basic information necessary to develop a prevention program for internet addiction and to plan for VDT syndrome prevention program. Methods: We conducted this study during the period from jun 27, 2007 through July 8, 2007. The subjects of this study were 416 children whose grades were in 4th through 6th grades of elementary schools located in the city A in Kyung Pook Providence. Data were obtained from self-rating questionnaires. The questionnaires were composed of Korean Internet Addiction Self-examination on Internet Use Patterns (K-scale), Health Behavior Profile, VDT Syndrome, and general characteristics. We used t-test, AVOVA with Ducan method for Post-hoc comparison in means comparison between groups, $X^2$-test for frequency analysis and Pearson's correlation coefficient. We used SPSS/PC(12.0 ver) program and the LISREL 8.53 Win program for covariance structural analysis. Results: Major results were as follows. 1. The internet addiction propensity distribution based on the distribution of scores were investigated according to the self diagnosis scale on internet addiction. 6.5% of them were high risk user group, 14.4% were potential risk users and 79.1% of them were common user groups. 2. Internet addictions by sex, internet use duration, frequency (days/week), time(hours/day), purpose, position, brightness of internet, attitude of parents and frequency of conversation of family members were statistically significant(p<0.01). 3. There was a statistically significant difference in VDT syndrome according to internet addiction groups(p<0.001) besides ocular symptoms, dry mouth and GI troubles. 4. The health behavior score was the lowest in high risk user group(p<0.001). There were significant differences between internet addiction groups in personal hygiene and habits of daily living(p<.002), the prevention of accidents(p<.002), the practice concerned with the prevention of infectious disease(p=.002), and mental health(p<.001). 5. There was also a significant negative correlation between internal addiction and health profile(r=-0.365, p<0.01) and a significant positive correlation between internal addiction and VDT syndrome(r=0.331, p<0.01). 6. As the result of structural model analysis, internet use time(/day), days of internet use(/1week), conversation frequency among family members, degree of brightness of internet use had significant direct effects on internet addiction. Conclusions: The results will help the development of an effective intervention program for the prevention and treatment of internal addiction by clarifying the effect of the internal addiction upon elementary school students' VDT syndrome and health behavior.

• 조명전기설비학회논문지
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• 제27권1호
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• pp.10-16
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• 2013

This study performed a subjective evaluation of the Semantic Differential (SD) method for living room activities to evaluate the living room lighting environment and investigated the relationship between these through luminance distribution in the space. As a result, three factors-"lightness", "emotion" and "calmness"-have been grouped together. According to the analysis of experimental variables, difference has been observed depending on color temperature, the dimming of the ceiling & cove lights and the use of down lights and a bracket. 'Conversation with Family', 'Having Fun with Family', 'Entertaining Guests' and 'Reading a Book or Newspaper' requires "lightness". In terms of "emotion"-centered activities, 'Watching TV' is the highest, but all three factors are related. In terms of "calmness"-centered activities, 'Relaxing' is the highest.

• 디지털융복합연구
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• 제11권12호
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• pp.777-784
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• 2013

작가가 현실을 어떻게 인식하고 또 어떻게 형상화시켰는가를 고찰하는 것은 문학작품의 가치를 규명하는 필수적 과정이다. 시대적 현실상황과 작품사이에는 일정한 대응관계가 있는데 이 양자를 매개하는 것은 바로 작가의식이기 때문에 이러한 작업이 선행되어야 한다. 문학적 인식행위는 작품의 외면적 현실을 통해 삶의 내재적 본질을 파악하는 과정이다. 문학작품은 이러한 기능을 수행하기 위하여 현실을 문학자체의 예술적 방법으로 형상화시켜야 한다. 문학작품의 본질을 파악하기 위해서는 작가가 어떠한 예술적 방법으로 현실성을 획득하고 또 형상화시켰는가를 규명해야한다.