• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1114-1121
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• 2009

1990 년대 후반 이후 스마트 의류 연구는 기능성 및 인간 친화적인 측면으로의 접근 필요성이 증가됨에 따라 기능 및 사용자 중심의 연구로 진행되어 오고 있다. 이에 따라 최근 스마트 의류의 발달은 사용자 애플리케이션을 중심으로 세분화되어 개발되고 있다다변하는 의류 시장에서 스마트 의류 상품기획은 기존의 의류 상품기획과 같이 소비자 트렌드 중심의 경향과 함께 소비자의 특성을 파악하는 연구의 필요성이 대두되어 그 중요성은 날로 부상하고 있다. 그러나, 기존의 스마트 의류의 연구는 기능성, 사용성 기반의 연구자 중심의 개발이 이루어지고 있어, 소비자 중심, 마켓 중심의 연구가 미비한 실정이다. 따라서 본 연구에서는 스마트 의류 기획에 있어 가장 밀접한 관련이 예상되는 의복 및 의복행동 라이프 스타일과 디지털 라이프 스타일을 중심으로 라이프 스타일의 유형을 분석하고, 라이프 스타일에 따른 스마트 의류 수용도와 인지도를 조사하고자 하였다. 본 연구는 추후 스마트 의류의 수요가 가장 높을 것으로 예상되는 20 대, 30 대를 중심으로 이루어졌으며, 라이프 스타일에 따른 스마트 의류의 수용도와 인지 여부 및 스마트 의류의 선호도를 조사하여 그 결과를 제시하였다.그 결과 소비자 라이프스타일은 유행추구형, 감각적 정보추구형, 실용적 기능추구형의 세 유형으로 도출되었으며, 유행추구형 집단이 스마트 의류에 대한 인지도가 가장 높은 것으로 나타났다. 유행추구형은 엔터테인먼트 의류군을 선호하였으며, 스마트 의류 속성 중 외관을 다른 집단에 비해 중시하는 경향을 보였다. 감각적 정보추구형은 감성교감의류 및 생체 신호 측정의류의 선호도 및 필요성을 높게 인지하고 있었으며, 실용적 기능 추구형은 생체 신호 측정의류 및 환경과의 상호작용 하는 의류에 대해 선호하는 경향을 나타내며, 스마트 의류의 필요성을 다른 집단에 비해 높게 느끼고 있는 것으로 나타났다. 본 연구는 스마트 의류의 인식 및 선호도 등 상품화에 실질적인 평가 자료를 제시함으로써, 추후 스마트 의류의 상용화에 있어 시장 가능성 및 상품화를 위한 스마트 의류 기획 방향을 제시한 것에 의의가 있다.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.221-226
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• 2006

원격 3차원 디자인 협업 환경이란 원거리에 있는 디자이너들이 3차원 모델을 함께 동시적으로 다루는 협업 환경으로서, 제품 개발 프로세스의 비용과 시간을 단축하는데 매우 중요한 역할을 한다. 그러나 이에 대한 연구는 아직 미비한 실정이며 기존의 연구들도 2차원 데스크탑 환경에 제한된 문제점이 있다. 따라서 본 연구는 새로운 협업 환경의 제안을 통해 지리적으로 떨어진 디자이너들간의 3D 모델에 관한 원활한 협업을 촉진하는 것을 목표로 한다. 본 연구에서 제안한 증강현실 기반의 원격 3차원 디자인 협업 환경은 3D 모델의 공유를 위한 회전 원반(turntable)과 상대의 위치 및 제스처 정보를 제공하는 가상 그림자(virtual shadows)로 구성된다. 동시적으로 회전하는 회전원반은 물리적인 매개체로서 가상물체와 실제 세계를 자연스럽게 연결하는 동시에 상대의 실재감을 높인다. 가상그림자는 가상물체 주위로 보여지는 사람들의 손과 팔의 움직임을 시각화하여 공유하는 것으로, 상대의 위치뿐 아니라 지시, 제스처 등 행동에 대한 인식이 지속적으로 이루어지게 한다. 프로토타입을 제작하고 사용자 평가 실험을 실시하여 3차원 모델을 검토하는 단계에 그 유용성이 있음을 확인하였다. 데스크탑 환경의 모델링 툴에 익숙한 사용자들은 실제 공간에서 가상물체를 조작할 수 있음에 긍정적인 반응을 보였고 회전원반과 가상그림자의 제공은 태스크 수행의 정확도를 높이며 협업을 촉진하는 결과를 보였다. 본 연구는 환경적 제약으로 원활하게 이루어지지 못했던 3D 모델에 관한 원격 협업에 의사소통의 장을 마련하고 이를 촉진시킨다는 점에서 그 의의가 있다. 본 환경에서 제시한 상대방과 협업대상물에 대한 심리적, 물리적 공유 감을 증대시키는 방법들은 3D 모델에 관한 디자인 협업에서 확장되어 다른 원격 협업을 지원하는 데도 적용될 수 있을 것이다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.6A
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• pp.550-557
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• 2007

We predict a context of various structures by using Bayesian Networks Algorithms, Three-Dimensional Structures Algorithms and Genetic Algorithms. However, these algorithms have unavoidable problems when providing a context-aware service in reality due to a lack of practicality and the delay of process time in real-time environment. As far as context-aware system for specific purpose is concerned, it is very hard to be sure about the accuracy and reliability of prediction. This paper focuses on reasoning and prediction technology which provides a stochastic mechanism for context information by incorporating various context information data. The objective of this paper is to provide optimum services to users by suggesting an intellectual reasoning and prediction based on hierarchical context information. Thus, we propose a design of user location prediction algorithm using sequential matching with n-size flexible window scheme by taking user's habit or behavior into consideration. This algorithm improves average 5.10% than traditional algorithms in the accuracy and reliability of prediction using the Flexible Window Scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.11
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• pp.1544-1553
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• 2018

Recently internal information leakage in industries is severely increasing in spite of industry security policy. Thus, it is essential to prepare an information leakage prevention measure by industries. Most of the leaks result from the insiders, not from external attacks. In this paper, a real-time internal information leakage prevention system via both storage and network is implemented in order to protect confidential file leakage. In addition, a Hadoop-based user behavior analysis and statistics system is designed and implemented for storing and analyzing information log data in industries. The proposed system stores a large volume of data in HDFS and improves data processing capability using RHive, consequently helps the administrator recognize and prepare the confidential file leak trials. The implemented audit system would be contributed to reducing the damage caused by leakage of confidential files inside of the industries via both portable data media and networks.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.23-32
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• 2023

Interest in Serious Games for Healthcare (SGHs) that can improve health through games is increasing. Digital Therapeutics (DTx) is a treatment that must be approved for effectiveness and safety, so it should follow the traditional drug distribution method, but SGHs are wellness products that are more flexible in terms of adoption and diffusion than DTx. SGHs are effective because it can provide customized services through continuous monitoring and feedback. When SGHs are applied to cognitive impairment treatment or behavioral correction, malfunctions and side effects are minor. This study developed research model based on the Valence Framework, gathered data from 142 undergraduates, and demonstrated that only the perceived benefits have a statistically significant positive (+) effect on SGHs acceptance intentions. Based on these results, this study suggests that SGHs companies should promote benefits in accepting SGHs for general users and they need for a distribution and analytics platform strategy based on a data-driven approach.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.522-527
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• 2008

Socially Intelligent agent is the agent not only having the ability to recognize and to process human affect through learning and adaptation, but also having human-like social intelligence. By making human feel familiar with the computer, the agent is expected to enhance human-computer interaction (HCI) by providing users with the personalized services and interfaces. This paper proposes the framework for socially intelligent agents behaving socially according to the emotions recognized by ID3 algorithm and psychological OCC model. Also, the agent could process with the emotion to make socially intelligent response through three layered affect functioning model. Finally, the proposed agent can be applied for the development and application of socially intelligent agent in wide areas as the agent framework having similar affect and cognitive structure with human being.

• Journal of KIISE
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• v.43 no.7
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• pp.781-785
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• 2016

Learning from human behaviors in the real world is essential for human-aware intelligent systems such as smart assistants and autonomous robots. Most of research focuses on correlations between sensory patterns and a label for each activity. However, human activity is a combination of several event contexts and is a narrative story in and of itself. We propose a novel approach of human activity prediction based on event cognition. Egocentric multi-sensor data are collected from an individual's daily life by using a wearable device and smartphone. Event contexts about location, scene and activities are then recognized, and finally the users" daily activities are predicted from a decision rule based on the event contexts. The proposed method has been evaluated on a wearable sensor data collected from the real world over 2 weeks by 2 people. Experimental results showed improved recognition accuracies when using the proposed method comparing to results directly using sensory features.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.1083-1095
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• 2021

With the recent increase in users' dependence on the Internet and the spread of various IT devices, the influence of information security on the users' has expanded compared to the past. Therefore, it is expected to have an increased influence on information security in personal life. In addition, as the intrusion factors that threaten security continue to become more advanced and diversified (eg., fake news, cyberbullying, identity theft), the need for nurturing information security experts is increasing. Furthermore, not only corporate information security workers, but also all individuals, cannot be free from the threat of information security. Therefore, it is necessary to prepare various information security education to improve information security awareness and induce proactive information security behaviors. In this study, characteristics of domestic and foreign information security education courses are analyzed and provide a standardized framework for information security education applicable to the domestic environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.541-547
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• 2022

Realistic education using virtual reality compared to traditional learning can enhance students' understanding of knowledge through immersion and interaction. In previous studies, VR education is mainly focused on experiences, and it is difficult to find its applications for environmental education. Environmental issues are a global problem, and environmental education is essential for the future. In this research, we developed an immersive virtual reality-based environmental education simulation designed to help students recognize the importance of environmental education and participate in environmental-friendly actions. This simulation is based on the virtual ecosystem model, which maintains a casual relationship among environmental factors, spatio-temporal connection, and persistent state. Users intuitively recognize environmental problems and is motivated to solve the problem while experiencing the results of interaction related to environmental factors in virtual environment.

• Knowledge Management Research
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• v.23 no.4
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• pp.133-157
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• 2022

As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.