• Journal of the Korea Computer Graphics Society
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• v.28 no.3
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• pp.23-29
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• 2022

Virtual humans are implemented with dedicated modeling tools like Unity 3D Engine in virtual space (virtual reality, mixed reality, metaverse, etc.). Various human modeling tools have been introduced to implement virtual human-like appearance, voice, expression, and behavior similar to real people, and virtual humans implemented via these tools can communicate with users to some extent. However, most of the virtual humans so far have stayed unimodal using only text or speech. As AI technologies advance, the outdated machine-centered dialogue system is now changing to a human-centered, natural multi-modal system. By using several pre-trained networks, we implemented an emotion-based multi-modal dialogue system, which generates human-like utterances and displays appropriate facial expressions in real-time.

• Journal of Information Processing Systems
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• v.9 no.2
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• pp.259-270
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• 2013

A speaker's intentions can be represented by domain actions (domain-independent speech act and domain-dependent concept sequence pairs). Therefore, it is essential that domain actions be determined when implementing dialogue systems because a dialogue system should determine users' intentions from their utterances and should create counterpart intentions to the users' intentions. In this paper, a neural network model is proposed for classifying a user's domain actions and planning a system's domain actions. An integrated neural network model is proposed for simultaneously determining user and system domain actions using the same framework. The proposed model performed better than previous non-integrated models in an experiment using a goal-oriented dialogue corpus. This result shows that the proposed integration method contributes to improving domain action determination performance.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.10
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• pp.1005-1009
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• 2010

Elliptical and anaphoric utterances occur frequently during spoken dialogue. Because discourse analysis rests on the basic premise that linguistic items cannot be understood without reference to the context, ellipsis and anaphora resolution plays an important role in discourse analysis. In this paper, we present a spoken dialogue system improving the robustness at dialogue level based on discourse analysis, such as anaphora and ellipsis resolution. The applicability and effectiveness of the proposed method is evaluated in the TV domain.

• 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.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.459-480
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• 2010

A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.

• The Transactions of the Korea Information Processing Society
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• v.2 no.3
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• pp.324-334
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• 1995

Most UIMS(User Interface Management System) adopt dialogue model of user interface Implementation of UIMS influenced by adopted dialogue model of user interface strongly. While the Model-View-Controller framework has contributed to many aspects of user interface development in Smalltalk environment- user interfaces generated with MVC have highly coupled model, view, and controller classes. Such coupling impedes the reuse of software component. So In this paper, we suggest MVCD model to resolve a decline of reuse with MVC have highly coupled. User messages are not changed by Controller immediately, but sent to Dialogue object which maintains the syntatic structure of the interaction. Dialogue object invokes Model object to updates is value. Since Model objects have active values, the value change propagates to the linked Controllers. Finally, Controller object convert the new value and update the View object. User interface builder is implemented on X-window with OSF/Motif that is base on this user dialogue model.

• Journal of KIISE:Software and Applications
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• v.35 no.11
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• pp.681-691
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• 2008

In this paper, we have evaluated and compared each feature and feature combinations necessary for statistical Korean dialogue act classification. We have implemented a Korean dialogue act classification system by using the Support Vector Machine method. The experimental results show that the POS bigram does not work well and the morpheme-POS pair and other features can be complementary to each other. In addition, a small number of features, which are selected by a feature selection technique such as chi-square, are enough to show steady performance of dialogue act classification. We also found that the last eojeol plays an important role in classifying an entire sentence, and that Korean characteristics such as free order and frequent subject ellipsis can affect the performance of dialogue act classification.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.150-160
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• 2007

In the actual classroom the so-called flow learning is able to motivate the students through face-to-face feedback, and to meet their needs for educational achievement. By contrast, the so-called e-learning method falls short of the satisfactory level of real-life interaction, which makes many learners drop out or give up on their learning. In order to better the e-learning environment, this study presents a dialogue-based feedback system that improves the flow learning of the learners' in the classroom. This newly developed system was applied at the actual school. The result is that the experimented group improved its flow learning, compared with the controlled group. In the former group, each individual showed some consciousness of objective and challenge following the concrete feedback. That is to say, this system enhances the attitude of an active participation and induces the flow learning, thanks to the dialogue-based feedback and the sustained interest in learning. In conclusion, the significance of this study lies in suggesting the direction of a new learning method development in the e-learning environment.

• 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.

• Convergence Security Journal
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• v.11 no.2
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• pp.65-77
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• 2011

In Western Europo and the US, there has been a general trend over 30 years of reducing the amount of force by the police, through a paradigm shift from 'Escalated Force Model' towards 'Negotiated Management Model'. In tune with this trend, for example, the Swedish Police have implemented the uniformed 'Dialogue Police' system, in order to establish communication contact with demonstrators, before, during, and after their events, The Negotiated Management Model involves a greater respect for the rights of protesters, a more tolerant approach to community, and improved intelligence, communication, and flexibility, in order to facilitate lawful protests and to reduce the possibility of an escalation of major public disorder. The Korean National Police (KNP) appears to be operated within this negotiated management framework, since in preparation for the G20 Seoul Summit, they have also emphasized good communication between the police and protest groups, by newly creating the concept of 'Protest Policing Through Facilitation of Lawful Protests'. In this context, this study first attempts to analyze not only the negotiated management model, but also the Swedish dialogue police. Secondly, the study conducts a comparative study between the KNP's Protest Policing Through Facilitation of Lawful Protest and the Swedish dialogue police system, particularly, in conjunction with the negotiated management. Although Korean and western police have different system and history, protest policing model is now approaching with each other through a link between conflict resolution techniques, such as dialogue, negotiation, mediation and facilitation. Finally, the study is to prove if the KNP's protest policing model corresponds with the negotiated management model, and further to suggest new 'Facilitation of Conflict Resolution Model' as a desirable future of the KNP's protest policing.