• Journal of the Korean Society of Costume
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• v.57 no.6 s.115
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• pp.101-111
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• 2007

The purpose of this study is to examine the features of the conversational patterns presented on the fashion in the early 2000's and analyze it from cultural view. The expression of the patterns is a result of a creative aesthetic activity, mental activity, and the reflection of the common cognition. And the fashion is a part of the life environment. So the patterns presented on the fashion provides a clue to figure out the common unconscious sense for explaining the culture. The patterns have been expressed with different methods belonging to each culture such as weaving and prints. And those of the each cultural group have been communicating each other. The silk came to the Europe in the 6th century. The textile industry which flourished since 15th century. And they shows the chinoiserie or indian prints, not only the european culture. We can observe that the exchange of the techniques and cultures between cultural groups like the east and the west, and the presentation of the patterns is a way to express their own desires. The patterns presented after 2,000 can be classified by the form and the contents. But, more specifically, the patterns classified by the contents, which is Conversational design, can be categorized as followed according to the origin; reflecting cultural identity, Popular culture, Lohas lifestyle, and art movements. Which can be summarized as that the people have more interest on the different cultural group, diversity, retrospectiveness, and exoticism, which the patterns originally belonged to than on the form itself.

• Design Convergence Study
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• v.17 no.1
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• pp.17-28
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• 2018

The manipulation of the device by hand while driving is a major factor to increase the risk of accidents, and the design of in-vehicle voice conversational interface that can compensate for this is being actively researched. The purpose of this study is to investigate the effect of the use of the barge-in function of in-vehicle voice interface on user experience. Participants were asked to carry out two tasks, one for navigation and one for music play. We conducted a survey to measure the functional user 's experience after each participant' s tasks, and measured usefulness, usability, satisfaction, and emotion as user experience factors. As a result, Barge-in has been rated as the better choice for most experience factors. There was a significant effect on usability dimension in navigation task and significant effects on usability dimension and emotional dimension in music play task. So it was found that barge-in function had a positive effect on actual user's usability and emotional dimension.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.343-352
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• 2005

The existing CAI or web-based science learning system of elementary school has some disadvantages. For instance, it is composed of uniform courses designed by an instructor without considering the learner's characters, and the learner's opinions or questions raised during learning can not be delivered to the system. This structure has diminished the willingness or the motive of the learner and make an adverse effect on the learning efficiency. In this regards, Instruction-Learning System is needed to provide learning environment Pertinent to the learner's individual character and motivate the learner's active attendance and learning. This study is to design a character-based conversational Instruction-Learning System. This may induce the learner's active attendance through the communications between instructor and learner and furnish various learning materials to motivate the learners and attract their consistent interests in learning.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.694-702
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• 2022

This paper is the UX-based technology strategy research which is a solution to how conversational AI can be ethically evolved in the Metaverse environment. Since conversational AI influences people's on-offline decision-making factors through interaction with people, the Metaverse AI ethics must be reflected. In the machine learning process of conversational AI, cultural codes along with user's personal experience data must be included and considered to reduce the error value of user experience. Through this, the super-personalized Metaverse service can evolve ethically with social values. With above hypothesis as a result of the study, a conceptual model of a forward-looking perspective was developed and proposed by adding user experience data to the machine learning (ML) process for context-based interactive AI in the Metaverse service environment.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.59-70
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• 2018

With the breakthrough of speech recognition technology, conversational agents have become pervasive through smartphones and smart speakers. The recognition accuracy of speech recognition technology has developed to the level of human beings, but it still shows limitations on understanding the underlying meaning or intention of words, or understanding long conversation. Accordingly, the users experience various errors when interacting with the conversational agents, which may negatively affect the user experience. In addition, in the case of smart speakers with a voice as the main interface, the lack of feedback on system and transparency was reported as the main issue when the users using. Therefore, there is a strong need for research on how users can better understand the capability of the conversational agents and mitigate negative emotions in error situations. In this study, we applied social strategies, "forewarning" and "apology", to conversational agent and investigated how these strategies affect users' perceptions of the agent in breakdown situations. For the study, we created a series of demo videos of a user interacting with a conversational agent. After watching the demo videos, the participants were asked to evaluate how they liked and trusted the agent through an online survey. A total of 104 respondents were analyzed and found to be contrary to our expectation based on the literature study. The result showed that forewarning gave a negative impression to the user, especially the reliability of the agent. Also, apology in a breakdown situation did not affect the users' perceptions. In the following in-depth interviews, participants explained that they perceived the smart speaker as a machine rather than a human-like object, and for this reason, the social strategies did not work. These results show that the social strategies should be applied according to the perceptions that user has toward agents.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1156-1166
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• 2022

In this study, we examined voice shopping interaction in which consumers can be involved in the decision-making process. Sixteen kinds of voice shopping interaction were designed with differences in the existence of screen/product involvement/conversation style. Their effects on trust, cognitive load, satisfaction, and continuous intention to use were evaluated through a survey experiment. The main effect of conversation style was significant, and it was found that the more deeply involved users have higher trust. The interaction effect between conversation style and product involvement was also significant. Low involvement product buyers had the most positive user experience from the conversation style that included 'Ask for preference,' while high involvement product buyers had the most positive user experience from the conversation style that included both 'Ask for preference' and 'Question and Answer.' The main effect and interaction effect of the existence of screen was not significant. The results indicate that a positive user experience can be obtained when users are deeply involved in consumer decision-making, especially in purchasing high-involvement products.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.167-176
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• 2019

The conversational agent, which is at the forefront of the 4th industry, aims to personalize the user-centered focus in the future and holds an important position to have a hub that can be connected to various IoT devices. It is a challenge for interactive agents to recognize the user's emotions and provide the correct interaction to personalization. The study first I looked at emotional definitions and scientific and engineering approaches. Then I recognized through social perspectives what social function and what factors emotions have and how they can be used to understand emotions. Based on this, I explored how users can be discovered emotional social factors in communication. This research has shown that social factors can be found in the user's speech, which can be linked to the social meaning of emotions. Finally, I propose a model to discover social factors in user communication. I hope that this will help designer and researcher to study user-centered design and interaction in designing interactive agents.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.35-57
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• 2014

Multi-criteria decision making (MCDM) algorithms play an important role in ensuring quality of service in an integrated HetNets (Heterogeneous Networks). The primary objective of this paper is to develop a multi-criteria vertical handoff decision algorithm (VHDA) for best access network selection in an integrated Wireless Local Area Network (WLAN)/Universal Mobile Telecommunications System (UMTS)/Worldwide Interoperability for Microwave Access (WiMAX) system. The proposed design consists of two parts, the first part is the evaluation of an Analytic Hierarchy Process (AHP) to decide the relative weights of handoff decision criteria and the second part computes the final score of the weights to rank network alternatives using Simple Additive Weighting (SAW). SAW ranks the network alternatives in a faster and simpler manner than AHP. The AHP-SAW mathematical model has been designed, evaluated and simulated for streaming video type of traffic. For other traffic type, such as conversational, background and interactive, only simulation results have been discussed and presented in brief. Simulation results reveal that the hierarchical modelling and computing provides optimum solution for access network selection in an integrated environment as obtained results prove to be an acceptable solution to what could be expected in real life scenarios.

• Smart Media Journal
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• v.11 no.10
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• pp.22-29
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• 2022

Voice interactions are particularly effective in applications targeting the digital underprivileged who are not proficient in the use of smart devices. However, applications based on open APIs are using voice signals only for short, fragmentary input and output due to the limitations of existing touchscreen-oriented UI and API provided. In this paper, we design a conversational voice interaction model for interactions between users and intelligent mobile/IoT applications and propose a keyword detection algorithm based on the edit distance. The proposed model and scheme were implemented in an Android environment, and the edit distance-based keyword detection algorithm showed a higher recognition rate than the existing algorithm for keywords that were incorrectly recognized through speech recognition.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.574-576
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• 2002

본 논문에서는 실시간 대화 행위에서 XML기반 메시지를 이용하여 대화 행위의 체계적 표현을 위한 XML기반 대화 메시지를 설계한다. 설계되는 XML기반 메시지는 대화 문맥의 구분과 문맥 흐름의 표현과 메시지의 다양한 스타일을 지원한다. 또한, 메시지가 XML을 기반으로 작성됨으로써 태그의 확장에 따라 다양한 대화를 효율적으로 표현하는 환경을 지원할 수 있다. 제안하는 XML기반 대화 메시지는 실시간 대화 행위를 위한 대화 메시지의 프로토타입이다. 응용 분양로는 헙업 작업에서 정보의 전달 및 공유, 온라인 게임에서 메시지의 시각적 효과의 지원, 모바일 메신저에서 미디어의 전송 및 표현 방법의 지원, 커뮤니티에서 사회적 행위의 지원 등이다