• Korean Journal of Social Welfare
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• v.60 no.4
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• pp.253-276
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• 2008

This study investigated dialog sequence prototype that was the structure of communication, which could be shown in family counseling conversation between therapists and clients. The study was intended to review the process stages of family counseling through literature review, and divided functional phases into 'atmosphere formation phase', 'family evaluation phase', 'persuasion phase of cognitive change', 'confirmation phase of change experience', and 'termination phase'. The study selected two family therapists and 30 clients for research objects. They allowed data collections for the study after the explanation about the research objects. The transcribers were trained by the consent of transcription, which used particular symbol for verbal and nonverbal contents in conversation. The transcribed data were analyzed by dialog grammar, one of the linguistic dialog analysis method developed by Hundsnurscher(1994). This study described and explained dialog sequence prototype that displayed in conversation between family therapist and client through the total sessions in family therapy. The study found three types of dialog sequence prototype in 'atmosphere formation phase', eight types in 'family evaluation phase', nine types in 'persuasion phase of cognitive change', eight types in 'confirmation phase of change experience', and eight types of 'termination phase'. Even if the dialog sequence prototype mentioned above cannot be applied to the process of family therapy at its face value, these findings may contribute to beginners in counseling and graduate students majoring family therapy to do practice in counseling. The research has a limitation in which the study investigated dialog sequence prototype of conversation in two persons. Future research needs to include dialog sequence prototype of conversation among more than three persons. Specifically, when a family therapist do family counseling, he/she treats more than three family members as usual. Therefore, the researchers hope that future study investigates dialog sequence prototype between therapist and client, client and client, among therapist, client and other family members.

• Journal of the Korean Society for information Management
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• v.16 no.3
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• pp.7-30
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• 1999

The bibliometric analysis was conducted by searching 87 abstract & index databases provided by the DIALOG to identify not only the characteristics of Korean journals covered by international databases, but also the characteristics of the databases covering such Korean journals. 248 Korean journals were identified, for which at least one paper published between 1990 and 1997 was retrievable from the DIALOG databases. These Korean journals were found in 52 databases. 141 journals(56.9%) were indexed in only one database. Most Korean journals covered in several DIALOG databases were science and engineering journals published in English. The difference in the degrees Korean journals are covered in a database is found to be statistically significant by the discipline a database covers, and by the database's journal selection policy.

• The Journal of the Acoustical Society of Korea
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• v.21 no.4E
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• pp.170-177
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• 2002

The goal of the present research is to improve a quality of life of the elderly with a dementia. In this paper, it is realized by developing the dialog system that is controlled by three kinds of modules such as speech recognition engine, graphical agent, or database classified by a nursing schedule. The system was evaluated in an actual environment of a nursing facility by introducing it to an older male patient with dementia. The comparison study between dialog system and professional caregivers was then carried out at nursing home for 5 days in each case. The evaluation results showed that the dialog system was more responsive in catering to needs of dementia patient than professional caregivers. Moreover, the proposed system led the patient to talk more than caregivers did.

• MALSORI
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• no.53
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• pp.171-183
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• 2005

Call Control eXtensible Markup (CCXML) is a standard language that supports a call control of voice dialog systems such as VoiceXML based systems. CCXML allows developers to handle telephony calls in an easy way without deep knowledge about telephony networks and their switching systems.We design and implement a call control markup interpreter. At the implementation, we use a Dialogic JCT-LS board, but, by designing a wrapping class for CTI (computer telephony board) features, the interpreter can easily adopt other CTI boards. We also design and implement event-based interaction scheme between the interpreter and voice dialog systems. For verifying the interaction scheme, we implement a simple voice dialog system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.792-795
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• 2002

Nowadays the corporations related to Information & Communication field are researching more and more on VoiceXML development. VoiceXML can provide users with more efficient interface, VUI(VoiceXML User Interface) in web environment than the existing one. But more research and development for designing the Dialog have to be done for VUI to be used in efficient way. That was a main topic in "2002 VoiceXML Conference & Expo". According to the importance this paper presents VoiceXML Dialog designed for the purpose of its efficient use and the experimental result.

• The Journal of the Acoustical Society of Korea
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• v.21 no.4
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• pp.170-170
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• 2002

The goal of the present research is to improve a quality of life of the elderly with a dementia. In this paper, it is realized by developing the dialog system that is controlled by three kinds of modules such as speech recognition engine, graphical agent, or database classified by a nursing schedule. The system was evaluated in an actual environment of a nursing facility by introducing it to an older male patient with dementia. The comparison study between dialog system and professional caregivers was then carried out at nursing home for 5 days in each case. The evaluation results showed that the dialog system was more responsive in catering to needs of dementia patient than professional caregivers. Moreover, the proposed system led the patient to talk more than caregivers did.

• ETRI Journal
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• v.44 no.4
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• pp.599-612
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• 2022

This study focuses on improving a word embedding model to enhance the performance of downstream tasks, such as those of dialog systems. To improve traditional word embedding models, such as skip-gram, it is critical to refine the word features and expand the context model. In this paper, we approach the word model from the perspective of subword embedding and attempt to extend the context model by integrating various sentence models. Our proposed sentence model is a subword-based skip-thought model that integrates self-attention and relative position encoding techniques. We also propose a clustering-based dialog model for downstream task verification and evaluate its relationship with the sentence-model-based subword embedding technique. The proposed subword embedding method produces better results than previous methods in evaluating word and sentence similarity. In addition, the downstream task verification, a clustering-based dialog system, demonstrates an improvement of up to 4.86% over the results of FastText in previous research.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.1-8
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• 2019

Dialog system is becoming a new dominant interaction way between human and computer. It allows people to be provided with various services through natural language. The dialog system has a common structure of a pipeline consisting of several modules (e.g., speech recognition, natural language understanding, and dialog management). In this paper, we tackle a task of domain classification for the natural language understanding module by employing machine learning models such as convolutional neural network and random forest. For our dataset of seven service domains, we showed that the random forest model achieved the best performance (F1 score 0.97). As a future work, we will keep finding a better approach for domain classification by investigating other machine learning models.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.89-92
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• 2004

전화 음성용 화자인증 시스템 전화기에서 의뢰인의 ID와 음성을 입력받은 후 인증관련 처리론 PC에서 수행하여 그 인증 결과를 의뢰인의 전화로 알려주는 시스템으로 본 논문에서는 CTI(Computer Telephony Integration) 기술이 적용된 Dialog/4 보드를 이용하여 시스템을 구현하였다. Dialog/4 보드를 통하여 시스템에 입력된 ID와 음성에 대하여 신호처리와 특징 추출을 거친후 ID에 해당하는 화자모델과 배경화자 정보를 이용하여 유사도를 계산하여 의뢰인에 대한 인증 또는 거절의 결과를 알려준다. 실제의 전화음성을 이용한 화자인증 시스템이 성능평가에서 전화음성으로 실험을 할 경우 $99.6\%$의 인증률을 보여주었다.

• Journal of KIISE:Software and Applications
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• v.37 no.3
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• pp.177-184
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• 2010

As a voice browser is introduced, voice dialog application becomes available on the Web environment. The voice dialog application consists of voice Web pages that need to translate the dialog scripts into SALT(Speech Application Language Tags). The current Web pages have been designed for visual. They, however, are potentially capable of using voice dialog. This paper, therefore, proposes an automated voice Web generation method that finds the elements for voice dialog from Web pages based HTML and converts them into SALT. The automatic generation system of a voice Web page consists of a lexical analyzer and a syntactic analyzer that converts a Web page which is described in HTML to voice Web page which is described in HTML+SALT. The converted voice Web page is designed to be able to handle not only the current mouse and keyboard input but also voice dialog.