• The Journal of Korea Robotics Society
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• v.18 no.2
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• pp.216-224
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• 2023

Guide robots that provide services in public places have recently emerged as a non-face-to-face solution with the spread of COVID-19 and are growing. However, most guide robots provide only the same level of intelligence and the same interaction in different and changing environments. Therefore, its usefulness is limited and customers' interest is quickly lost. To solve this problem, it is necessary to develop social intelligence that can improve the robot's environment and situational awareness performance, and to continuously maintain customer interest by providing personalized and situational services. In this study, we developed guide robot services based on social HRI components that provides multi-modal context-aware. We evaluated service usefulness by measuring user satisfaction and frequency of use of the service through the survey. We analyzed the service quality attributes to identify the differentiating factors of guide robot based on social HRI components.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.523-525
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• 2020

In recent years, deep learning has been widely used in news recommendation systems. In the previous personalized news recommendation, a large number of CF-based methods, content-based or hybrid methods have been proposed. But most of the works are only modeling the user's interaction history, ignoring the hidden meaning of the user's continuous behaviors. In this paper, we propose to adopt the powerful Transformer model in order to understand the hidden meaning of the user's continuous behaviors in news recommendations. The experimental results prove the superiority of the transformer, and the AUC has been significantly improved as compared to the original model.

• Educational Technology International
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• v.11 no.2
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• pp.149-172
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• 2010

Knowledge can be more meaningful when it is shaped and personalized through interaction with others. Implementation of open learning environments such as open courseware or shared knowledge communities has gradually become more common. A case study which investigated instructors' experiences and perceptions of publishing and using open courseware in the classroom was conducted at a university in Korea. Responses from participating students and an evaluation group regarding how they perceived open learning environments were also examined. Based on the inductive analysis of the data, this study discusses advantages and challenges of publishing open courseware and collaborative learning environments. Also, practical guidelines for developing reusable learning materials are suggested.

• Journal of KIISE:Software and Applications
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• v.37 no.3
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• pp.185-193
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• 2010

With the emergence of ubiquitous computing era, various models for providing personalized service have been proposed, and, especially, several recommendation service schemes have been proposed to give tailored services to users proactively. However, the previous recommendation service schemes utilize a wide range of data without and filtering and consider the limited context-aware information to predict user preferences so that they are not adequate to provide personalized service to users. In this paper, we propose an adaptive recommendation service scheme which proactively provides suitable services based on the current context. We use accumulated interaction contexts (IC) between users and devices for predicting the user's preferences and recommend adaptive service based on the current context by utilizing clustering and collaborative filtering. The clustering algorithm improves efficiency of the recommendation service by focusing and analyzing the data that is collected from the locations nearby the users. Collaborative filtering guarantees an accurate recommendation, even when the data is insufficient. Finally, we evaluate the performance and the reliability of the proposed scheme by simulations.

• Journal of the Korean Society of Costume
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• v.67 no.3
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• pp.115-132
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• 2017

This study recognizes the importance of the social network platform as a new fashion media, and analyzes the significance of various digital fashion images, based on the 'Aura' theory of Walter Benjamin. The concept of "Disappearance of Artistic Aura" can be summarized into three discussions: 1) the change in the way of artistic perception, which is changes in value from worship to exhibition. 2) the change in the way of artistic acceptance, from personal to mass. 3) the emergence of new artistic concepts such as camera and film. By reviewing characteristics of the $21^{st}$ digital replication era, the study tried to discover and evaluate the expanded significance of the 'Aura' represented on digital fashion images, which are infinitely generated, modified, reproduced, transmitted, and shared in social network environments. The 'Burberry Instagram' was chosen as the subject of the study. The study reviewed around 2,500 images, which were uploaded from February 2011 to July 2016, and selected 200 images deemed the most representative of Burberry, and categorized and analyzed by the extended concept of 'Aura'. The study results as follows: First, the 'Aura' in digital fashion image appearing on social network platforms signifies the expansion of product value in fashion, and it also represents inherited traditions and modernization of images. Second, it also signifies the democratization and globalization of fashion through the open replication and sharing as well as the interaction of criticism and acceptance. Third, it signifies the personalized taste and fashion as everyday lifestyle, through personalized services, securing playful space, and real-time updates.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.117-128
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• 2004

Compared with traditional face-to-face instruction, online learning causes learners to experience more severe feeling of isolation and results in higher dropout rate. This is due to the lack of interaction, sense of belonging, membership, interdependency, cooperation among members and social environment that enables persistence in online learning. Therefore, it is very important for grouping e-learning community to lower the dropout rate and eliminate feeling of isolation. In this paper, the research has been done on the inclination test list to be applied for grouping the desirable learning community. And on the basis of this research, the grouping system for e-learning community(GSE) based on intelligent multi agents for an inclination test using homogeneous and heterogeneous items has been developed. GSE system has such properties that construct a personalized user profile by an agent, and then make groupings according to users' inclination. When this system was evaluated, about 88% of learners were satisfied, and they wanted the group not to be disorganized but to be maintained.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.376-390
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• 2009

The objective of this study is to examine the factors affecting adolescents' intention to buy e-Learning web site, expecially focuses on the moderating effect of adolescents's conformity. The main results are as follows. First, teacher's ability, personalized service, easy for service search, interaction between students, service revival for joining e-Learning sites affect intention to buy e-Learning web site through perceptual usefulness, except for entertainment. Second, perceptual usefulness has positive effect on intention to buy. Third, According to conformity, personalized service has different effect on perceptual usefulness. The result shows higher in high conformity group than low conformity group. It means e-Learning companies should focus on reference group or special group to effect their marketing strategy on adolescents. Lately, preceded studies investigated using SERVQUAL or SERVERF which were suit to offline. But, this study found e-Learning factors which are suitable to online. So, the factors and the results are more useful to e-Learning companies.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.5
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• pp.209-218
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• 2005

In this paper, we propose CIVE, context-based interactive system for heterogeneous distributed virtual environments that delivers contexts irom real world to virtual environment and vice versa. The proposed system ronsists of obi-UCAM for generating user's contexts, NAVER for managing virtual environment, and Interface for linking obi-UCAM with NAVER. The connection between real and virtual worid through context is brneficial in following ways. Firstly. CIVE Provides a personalized user interface for virtual environment according to a user profile such as identity, age and vernacular. Secondly, translating all input signals into context, it guarantees adaptive access that enables a user to exploit unencumbered input devices controlling a shared object in virtual environment even if he moves with his own device from a virtual system to another. Finally, it provides a mechanism for synchronizing distributed virtual systems that share context representing changes at remote nodes. The context reduces the inconsistency of representing the same data among heterogeneous systems. Therefore, CIVE plays an important role in implementing VR applications such as teleconference, game and entertainment.

• The Journal of Korean Association of Computer Education
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• v.18 no.1
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• pp.1-12
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• 2015

The purpose of this study is to develop verbal interaction analysis program for supporting teaching consultation. For this a class language analysis program was developed to manage analysis results systematically in various angles. The program has following characteristics. First, program users can create the frame of analysis tool freely, so he can analysis a class as a desired. Second, qualitative analysis results as well as quantitative analysis results can be acquired. Third, personalized analysis is available, as users can set program environments freely such as analysis unit time, video player environments, and input and output file type. Finally, it can record and manage activity results according to class consulting procedures systematically. It is expected that this program will allow class consulting to be in place in school fields in more professional way.

• Korean Institute of Interior Design Journal
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• v.26 no.6
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• pp.202-209
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• 2017

In 21 Century, people's living standards and material requirements have been continuously improved with the development of society. The demand for commercial space is not merely content with purchases. What's more, the consumers want to experience some activities offered by the brand while shopping. In this paper, we mainly research the spatial structure and the spatial expressional characteristics of brand lifestyle shop of Korean brands built in Seoul area. First, through the documentary research, we get the four characteristics of interior space performance of brand lifestyle shop, which are, interaction, proximity, symbolism and compound. Secondly, we select 8 brand lifestyle shops in the Seoul area as the object of this study, and analyze the actual application of the four characteristics in these cases. Thirdly, through the analysis of case study, we make a concrete analysis of the expressional characteristics of Korea's brand lifestyle shop. Finally, we reach the conclusions: First, the brand lifestyle shop provides space for both brands and consumers to communicate with each other. Second, in brand lifestyle shop there is a special space which is different from the other commercial space. The existence of this special space makes brand lifestyle shop more personalized and more specialized, and makes the customers have more interesting when they are shopping. Third, compared with the sales space, the non-sales space accounts for a larger proportion. Fourth, in spatial representation, interaction plays a role in connecting brands with consumers. Fifth, brand lifestyle shop has the same spatial concept, but it has different application and embodiment in each case. Each brand lifestyle shop has its own unique features. This is the economic strategy used by brand sustainable development and expansion.