• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.178-183
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• 2008

The goal of this study is finding flow-map in conversation what is going on user and embodied conversational agent by analysing that conversation. Specifically, this study not only find elements of conversation, but also draw out patterns of conversation can be exist for dialogue ability between user and Embodied conversational agent. To do this, we collect data through in-depth one to one interview, and then we analysis collected data to try to find out element of user-agent conversation based on qualitative research refer to the theory of conversation analytics and type of conversation. As a result, six flow map is deducted Especially, the irregular conversation is hard to find in human-human conversation, and the frequency is the most in data. In addition, when elements of interruption came out, be hostile to partner or correct the press conversation. This study can have positive effect to embodied conversation agent developer, user and service offerer because this study find the type of conversation through analysis that between embodied conversational agent and user.

• Journal of Korean Academy of Nursing
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• v.37 no.5
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• pp.772-780
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• 2007

Purpose: Nursing communication has become more important than ever before because quality of nursing services largely depends on the quality of communication in a very competitive health care environment. This article was to introduce ways to improve nursing communication using conversation analysis. Methods: This was a review study on conversation analysis, critically examining previous studies in nursing communication and interpersonal relationships. Results: This study provided theoretical backgrounds and basic assumptions of conversation analysis which was influenced by ethnomethodology, phenomenology, and sociolinguistic. In addition, the characteristics and analysis methods of conversation analysis were illustrated in detail. Lastly, how conversation analysis could help improve communication was shown, by examining researches using conversation analysis not only for ordinary conversations but also for extraordinary or difficult conversations such as conversations between patients with dementia and their professional nurses. Conclusion: Conversation analysis can help in improving nursing communication by providing various structures and patterns as well as prototypes of conversation, and by suggesting specific problems and problem-solving strategies in communication.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1177-1188
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• 2004

Multi-agent systems have been developed for supporting intelligent collaboration of distributed and independent software entities and are be-ing widely used for various applications. For the collaboration among agents, conversation policies (or interaction protocols) mutually agreed by agents are used. In today's dynamic electronic market environment, there can be frequent changes in conversation policies induced by the changes in transaction methods in the market, and thus, the importance of ad hoc conversation policies is increasing. In existing agent platforms, they allow the use of only several standard or fixed conversation policies, which requires inevitable re implementation for ad hoc conversation policies and leads to inefficiency and intricacy. This paper designs an agent platform that supports ad hoc conversation policies and presents the prototype implementation. The suggested system includes an exchangeable and interpretable conversation policy model, a meta conversation procedure for exchanging new conversation policies, and a mechanism for performing actual transactions with exchanged conversation policies in run time in an adaptive way.

• Korean Journal of Child Studies
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• v.24 no.5
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• pp.77-89
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• 2003

The relationship of communicative intent of infants and the conversation style of mothers were investigated with 20 mothers and their 2- and 3-year old children. They conversed in naturalistic settings while playing with Lego blocks. Cluster analyses revealed 2 maternal styles: a conversation-eliciting and a directive style. Children of conversation-eliciting mothers provided more information than those of directive mothers. Children of directive mother requested more permission than those of conversation-eliciting mothers. Implications of these two maternal styles for children's communicative abilities were discussed.

• English Language & Literature Teaching
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• v.17 no.4
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• pp.395-411
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• 2011

The purpose of this study was to explore the elementary English conversation instructors' perception on their professionalism and the needs of teacher training program. The survey data were attained from 136 elementary English conversation instructors. Descriptive statistics were employed to discuss the result of the survey response. The results of this study revealed that the elementary English conversation instructors perceived the need of in-service training program for their professionalism improvement, especially in teaching techniques for four language skills. The result also revealed that the instructors need to be more equipped with the knowledge of elementary learners' developmental psychology and L2 learning process. The study concludes with several suggestions for elementary English conversation instructors' improvement of teaching professionalism and in-service training program.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1396-1412
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• 2023

Conversation modeling is an important and challenging task in the field of natural language processing because it is a key component promoting the development of automated humanmachine conversation. Most recent research concerning conversation modeling focuses only on the current utterance (considered as the current question) to generate a response, and thus fails to capture the conversation's logic from its beginning. Some studies concatenate the current question with previous conversation sentences and use it as input for response generation. Another approach is to use an encoder to store all previous utterances. Each time a new question is encountered, the encoder is updated and used to generate the response. Our approach in this paper differs from previous studies in that we explicitly separate the encoding of the question from the encoding of its context. This results in different encoding models for the question and the context, capturing the specificity of each. In this way, we have access to the entire context when generating the response. To this end, we propose a deep neural network-based model, called the Context Model, to encode previous utterances' information and combine it with the current question. This approach satisfies the need for context information while keeping the different roles of the current question and its context separate while generating a response. We investigate two approaches for representing the context: Long short-term memory and Convolutional neural network. Experiments show that our Context Model outperforms a baseline model on both ConvAI2 Dataset and a collected dataset of conversational English.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.551-563
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• 2022

This study aims to identify the effect on the user experiences when the embodied agent in a self-driving car interacts with emotional expressions by using 'interjection'. An experimental study was designed with two conditions: the inclusion of injections in the agent's conversation feedbacks (with interjections vs. without interjections) and the type of conversation (task-oriented conversation vs. social-oriented conversation). The online experiment was conducted with the four video clips of conversation scenario treatments and measured intimacy, likability, trust, social presence, perceived anthropomorphism, and future intention to use. The result showed that when the agent used interjection, the main effect on social presence was found in both conversation types. When the agent did not use interjection in the task-oriented conversation, trust and future intention to use were higher than when the agent talked with emotional expressions. In the context of the conversation with the AI agent in a self-driving car, we found only the effect of adding emotional expression by using interjection on the enhancing social presence, but no effect on the other user experience factors.

• Korean Journal of Adult Nursing
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• v.20 no.5
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• pp.743-755
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• 2008

Purpose: The purpose of this study was to describe and to analyze real conversation about polite behavior of nurses in cancer units. Methods: This study was conducted using a Brown & Levinson(1987) theory to analyze the polite behavior of nurses in cancer units. Five nurses who participated in this research gave permission to be videotaped. The data was collected from January to February, 2006. Results: Polite behavior of nurses in cancer units consisted of greetings, emotional support, open questions and indirect direction. And impolite behavior of nurses in cancer units was using the medical terminology, repetition of direct speech acts and task-oriented conversation. Conclusion: This study suggests polite behavior strategies for effective nursing conversation with cancer patients. Therefore, the findings may provide basic raw materials for educational programmes and intervention studies.

• Speech Sciences
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• v.11 no.2
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• pp.137-150
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• 2004

This paper investigates the prosodic characteristics of discourse boundaries in spontaneous conversation. In this study, the term 'conversation' is taken to refer to a kind of talk in which two or more participants alternate in speaking about particular topics. Such a definition implies that there are at least two sorts of structures in the conversation: textual structure and interactive structure. This requires us to consider not just the textual influences on prosody but also the impact of interactive context. The aim of this study is to find out the acoustic-prosodic means used by speakers to signal discourse boundaries in conversational interaction. The results show that the conflict between the structural level and the interactive level obliges the speakers to reorganize the prosodic variables according to the type of discourse boundaries.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.60-65
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• 2003

최근 기업들은 공급사슬 상에 있는 파트너들 간 실시간 정보 공유, 생산 스케줄 조정을 통해 급변하는 비즈니스 환경에 민첩하게 대처하기 위한 노력을 하고 있다. 이러한 협업적 SCM(supply chain management)에 있어, 최근의 웹서비스 기술로 인해 플렛폼 독립적으로 파트너들의 정보시스템에 유연하게 접근하는 정보 공유의 기술적 바탕은 마련되었다. 하지만 생산 스케줄, 주문 조정과 같은 파트너들 간의 협업을 조율할 수 있는 방법론은 미흡하다. 이를 위해 본 논문에서는 상태기반의 다자간 대화정책(conversation policy)과 이를 웹서비스 기술로 구현한 conversation support system 을 제시하여 파트너들 간의 합리적인 협업을 가능하도록 하였다.