• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.950-958
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• 2014

According to the rapid spreading of smart phone, the use of social network service(SNS) is also increasing rapidly. Social network service(SNS) which plays an important role in customer relationship management and brand management is becoming more important. This study aims to find out if differences exist in the perceptions of service quality and the consumer behaviors between Korean and Chinese consumers using SNS. In order to achieve the objectives of the study, the literatures of service quality and consumer behavior theory is reviewed. And based on the literature reviews, dimensions related to service quality and consumer behavior are derived and T-test is used to identify the differences. According to the analysis, significant differences exist in the perceptions of service quality and consumer behaviors between Korean and Chinese consumers using SNS. The results not only provide theoretical evidences for further SNS study but also provide practical evidences for companies in their overseas expansion.

• Review of KIISC
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• v.25 no.4
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• pp.43-50
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• 2015

바이오인식기술은 사람의 지문 얼굴 홍채 정맥 등 신체적 특징(Physiological characteristics) 또는 음성 서명 자판 걸음걸이 등 행동적 특징(Behavioral characteristics)을 자동화된 IT 기술로 추출 저장하여 다양한 IT 기기로 개인의 신원을 확인하는 사용자 인증기술이다. 2001년 미국의 911 테러사건으로 인하여 전 세계 국제공항 항만 국경에서 지문 얼굴 홍채 등 바이오정보를 이용한 출입국심사가 보편화됨과 동시에 ISO/IEC JTC1 SC37(바이오인식) 국제표준화기구를 중심으로 표준화가 급속도로 진행되어 왔다. 최근 들어 스마트폰 테블릿 PC 등 모바일기기에 지문 얼굴 등 바이오정보를 탑재하여 다양한 모바일 응용서비스를 가능하게 해주는 모바일 바이오인식 응용기술이 전 세계적으로 개발 보급되고, 삼성전자 페이팔 중심으로 바이오인식기술을 이용한 모바일 지급결제솔루션에 대한 사실표준화협의체인 FIDO, ITU-T SG17 Q9(텔레바이오인식) 국제표준화기구를 중심으로 표준화가 진행되고 있다. 특히 이러한 모바일 바이오인식기술은 스마트폰을 통한 비대면 인증기술 수단으로서 핀테크의 중요한 요소기술로 작용될 전망이다. 한편, 위조지문 등 전통적인 바이오인식 기술의 위변조 위협으로 인한 우려도 증폭됨에 따라 스마트워치 등 웨어러블 디바이스에서 살아있는 사람의 심박수(심전도), 뇌파 등의 생체신호를 측정하여 스마트폰을 통하여 개인을 식별하는 차세대 바이오인식기술로 진화중에 있다. 본고에서는 바이오인식기술의 변천사와 함께 국내외 모바일 바이오인식기술 동향과 표준화 추진현황을 살펴보고, 지난 2015년 5월 29일 발족한 KISA "모바일 생체신호 인증기술 표준연구회"를 통하여 뇌파 심전도 등생체신호를 이용한 차세대 바이오인식 기술 및 표준화 계획을 수립하여 향후 바이오인식기반의 비대면 인증기술에 대한 추진전략을 모색하고자 한다.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.40-48
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• 2009

Leading of the computer, IT technology has make great strides. As a information-industry-community was highly developed, user's needs to convenience about intelligence and humanization of interface is being increase today. Nowadays, researches with are related to BCI are progress put the application-technology development first in importance eliminating research about fountainhead technology with DB construction. These problems are due to a BCI-related research studies have not overcome the initial level, and not toward a systematic study. Brain wave are collected from subjects is a signal that the signal is appropriate and necessary in the experiment is difficult to distinguish. In addition, brain wave that it's not necessary to collect the experiment, serious eyes flicker, facial and body movements of an EMG and electrodes attached to the state, noise, vibration, etc. It is hard to collect accurate brain wave was caused by mixing disturbance wave in experiment on the environment. This movement, and the experiment of subject impact on the environment due to the mixing disturbance wave can cause that lowering cognitive and decline of efficiency when embodied BCI system. Therefore, in this paper, we propose an accurate and efficient brain-wave DB building system that more exactness and cognitive basis studies when embodied BCI system with brain-wave. For the minimize about brain wave DB with mixing disturbance, we propose a DB building method using an automatic control and prevent unnecessary action, put to use the subjects face tracking.

• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.443-452
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• 2004

The paper presents an intelligent space management system for ubiquitous computing. The system is basically a home/office automation system that could control light, electronic key, and home appliances such as TV and audio. On top of these basic capabilities, there are four elegant features in the system. First, we can access the system using either a cellular Phone or using a browser on the PC connected to the Internet, so that we control the system at any time and any place. Second, to provide more human-oriented interface, we integrate voice recognition functionalities into the system. Third, the system supports not only reactive services but also proactive services, based on the regularities of user behavior. Finally, by exploiting embedded technologies, the system could be run on the hardware that has less-processing power and storage. We have implemented the system on the embedded board consisting of StrongARM CPU with 205MHz, 32MB SDRAM, 16MB NOR-type flash memory, and Relay box. Under these hardware platforms, software components such as embedded Linux, HTK voice recognition tools, GoAhead Web Server, and GPIO driver are cooperated to support user-friendly intelligent space.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.3
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• pp.259-265
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• 2006

Learning and emotions are very important parts to implement intelligent robots. In this paper, we implement intelligent virtual character based on reinforcement learning which interacts with user and have internal emotion model. Virtual character acts autonomously in 3D virtual environment by internal state. And user can learn virtual character specific behaviors by repeated directions. Mouse gesture is used to perceive such directions based on artificial neural network. Emotion-Mood-Personality model is proposed to express emotions. And we examine the change of emotion and learning behaviors when virtual character interact with user.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.651-655
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• 2008

It provides a three-dimensional virtual experience consisting of information presented to and perceived by the senses of the user. Recently, the advent of a virtual avatar, which mimics the appearance and behavior of humans, enable that the virtual reality (VR) can provide not only a virtual space but also a virtual society to be interact with a virtual avatar which represents humans. But, it is impossible that the user directly interacts with the VE in previous studies, though direct interactions occur in real social relationship. Therefore, In this study, we know that the cognition about a avatar when the user directly interacts with the virtual avatar in the VE. In order to investigate this purpose, we performed a fMRI study using VE that a avatar accept or reject the user's offer when the user offer his (or her) hand to a avatar. In result of questionnaire about the user's feeling by avatar's action, the user feels about avatar's acceptance action that the avatar acts positively and suitably. In contrast the user feels about avatar's rejective action that the avatar acts negatively and disapprovingly. In result of fMRI analysis, the primary visual area, the visual association area, the SMA, the premotor area, the cerebellum and etc, activate in common with the other avatar's acceptance action and rejective action. The results show that the subject recognizes not only avatars as social objects but also avatar's action as socially meaningful action. In other words, it is possible to transfer social context and emotion through avatar's action.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.223-233
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• 2014

Even though the features of the products are almost identical, customers' reactions to each product are quite different depending on the brand image. The purpose of this study is to verify the effects of smart phone's brand images on customer's satisfaction and loyalty and compare the differences between user groups of the Galaxy and iPhone, two representative brands of smart phone. In order to do this, their brand images were classified into functional, symbolic and experiential brand images, and customer's loyalty was also classified into attitudinal and behavioral ones to empirically confirm the influence of those factors. The findings showed that functional and experiential brand images had a positive effect on their level of satisfaction, while symbolic brand images did not have a significant effect on it. Furthermore, it was found that the satisfaction level had a significant effect on attitudinal and behavioral loyalty, and attitudinal loyalty also had a significant effect on behavioral loyalty. Finally, a multiple group analysis of the user groups of Galaxy and iPhone determined that there was a statistically significant difference in the channel between customer satisfaction and attitudinal loyalty.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.182-184
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• 2012

마이크로소프트에서 개발한 키넥트(kinect)는 엑스박스(XBox) 게임 컨트롤러로 사용하는 장비이며 이 센서를 이용하여 사용자의 인체 행동을 인식하여 게임을 진행할 수 있는 센서 시스템이다. 또한 윈도우 환경에서 키넥트를 활용하여 다양한 응용 프로그램 개발을 할 수 있도록 SDK를 제공하고 있다. 현대사회에서 각종 범죄가 늘어남에 따라서 CCTV의 운용이 늘어나고 있으며 지정된 구역을 감시하는데 다양한 영상 장비들과 프로그램이 운용하고 있다. 시장에 판매되고 있는 CCTV 장비들 중에서 사람 추적기능을 가능 제품은 가격이 대부분 고가이다. 또한 야간에서는 사람의 감지가 힘들다. 본 연구에서는 키넥트의 골격 추적기능과 음성인식 기능을 활용하여 실시간 영상 녹화 프로그램을 개발하고자 하며, 개발된 프로그램은 키넥트 센서로 영상을 실시간 녹화하고 침입자에 대한 움직임을 자동 추적하여 녹화하는 DVR 시스템을 제안하고자 한다. 또한 야간에서는 깊이(Depth) 영상을 이용하여 인물을 인식과 추적을 한다. 궁극적으로 키넥트 센서(Kinect Sensor)의 CCTV기능에 대한 활용성을 연구하는데 목적을 가진다.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.9-19
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• 2012

Virtual human used as HCI in digital contents expresses his various emotions across modalities like facial expression and body posture. However, few studies considered combinations of such nonverbal multimodal in emotion perception. Computational engine models have to consider how a combination of nonverbal modal like facial expression and body posture will be perceived by users to implement emotional virtual human, This paper proposes the impacts of nonverbal multimodal in design of emotion expressed virtual human. First, the relative impacts are analysed between different modals by exploring emotion recognition of modalities for virtual human. Then, experiment evaluates the contribution of the facial and postural congruent expressions to recognize basic emotion categories, as well as the valence and activation dimensions. Measurements are carried out to the impact of incongruent expressions of multimodal on the recognition of superposed emotions which are known to be frequent in everyday life. Experimental results show that the congruence of facial and postural expression of virtual human facilitates perception of emotion categories and categorical recognition is influenced by the facial expression modality, furthermore, postural modality are preferred to establish a judgement about level of activation dimension. These results will be used to implementation of animation engine system and behavior syncronization for emotion expressed virtual human.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.80-91
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• 2008

The Purpose of this study is the applicaion of social network analysis for expanding the use of spatial data in local government. Spatial data generated from UIS projects play very important roles as a means of supporting decision making and solving complicated urban problems, but the utilization of the spatial data has not reach the expected level, considering to the huge amount of investment. Accordingly, there should be efforts in efficient management of spatial data, establishment of a sharing system, and expanded utilization of spatial data. Social network analysis applied to this research is a theory that explains the behaviors and patterns of units forming the system and measures distances between nodes, strength, etc. based on relations among nodes forming the network and the structural characteristics of the network. According to the results of surveying civil servants who were using spatial data on Busan Metropolitan City, obstacles to the sharing of spatial data were mostly non technical factors related to data users' attitude and their relations with circumstances. In order to expand the use of spatial data, this study performed social network analysis that applied the theory of planned behavior and examined the flow of spatial data, and by doing so, we analyzed related personnel's perception, identified obstacles to data sharing, and suggested a framework for promoting the expanded utilization of spatial data.