• Journal of Information Technology Services
• /
• v.16 no.4
• /
• pp.99-120
• /
• 2017

As smartphones and tablets are drastically spreading, mobile IPTV service becomes very important emerging issue in addition to existing DMB broadcasting, and the consumption of personalized multimedia services is increasing in the mobile Internet environment. While the previous research focuses on influencing factors of the initial acceptance intention of the mobile IPTV Service, this study intends to find the factors that affect continuous use intention of the mobile IPTV service which has become one of core services in the mobile environment. The research model and the hypotheses of this study could be derived on the basis of four referent theories (that is, mobile service quality model (MOBISQUAL), post acceptance model (PAM), expectation confirmation theory (ECT) and extended technology acceptance model (ETAM)). In order to empirically test the hypotheses, the field survey was conducted for 278 respondents. Twelve ones of fifteen hypotheses were found to be statistically significantly adopted from the results of structural equation model analyses using Smart PLS 3.0. The theoretical contribution of this study is to empirically investigate the factors that affect the continuous use intention of mobile IPTV service. And the practical contribution is to provide the implementation guidelines of managing the service quality to enhance the competitive power of mobile IPTV business.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2008.10b
• /
• pp.404-428
• /
• 2008

기대일치이론에 기초한 기대일치모형은 정보시스템 연구 분야에서 정보시스템의 지속적인 사용 혹은 사용의도를 설명하는 핵심 이론으로 언급되어 왔다. 이러한 기대일치모형과 더불어 최근에 정보시스템 분야에서 주목을 받고 있는 또 다른 개념은 자동화된 행동 경향을 의미하는 ‘습관’이다. 본 연구에서는 이러한 두 가지 개념들을 기초로 모바일 인터넷 서비스에 대한 지속적인 이용 상황에서 습관과 기대일치모형을 통합하는 시도를 하였다. 이에 일치, 지각된 유용성, 지각된 사용 용이성, 습관 등의 수용후 신념, 이용자 만족, 지속적 이용의도로 구성된 연구모형을 구성하고 이를 검증하였다. J도내 250명의 대학생들을 대상으로 설문자료를 수집하여 분석한 결과, 기대일치와 지각된 유용성이 모바일 인터넷 서비스의 이용자 만족에 대한 주요 요인으로서 나타났다. 또한 지각된 유용성, 이용자 만족, 습관은 모바일 인터넷 서비스에 대한 지속적 이용의도를 결정하는 주요 요인으로 나타났다. 반면에 지각된 이용 용이성은 이용자 만족과 지속적 이용의도 모두에 대하여 아무런 관련성이 없는 것으로 나타났다.

• The Research Journal of the Costume Culture
• /
• v.18 no.2
• /
• pp.348-370
• /
• 2010

The purpose of this study was to propose some plan which could satisfy consumer's expectation emotional needs by comparing emotional scale between fashion brand image and brand website coloration image. For this study, 12 brand websites within four fashion zone, men's clothing, women's clothing, casual wear, and sports wear were chosen. The questionnaires were comprised of 27 emotional adjectives which were selected from previous studies. The questionnaires were distributed to university students and office workers for 3 to 17 on September. Among them, 118 questionnaires were analyzed by SPSS tool. The qualitative analysis for emotional adjective sorting, content analysis for website color chip sorting, and quantitative analysis for consumers were used in this study. Some differences exist between brand image and website coloration band image as the result. As the numbers of internet user became larger, the costumer's emotional image which gives maximum satisfaction is getting more important in fashion brand website. Therefore, fashion website managers should satisfy consumers with functional and emotional needs.

• The Journal of Korean Association of Computer Education
• /
• v.5 no.1
• /
• pp.45-55
• /
• 2002

So far, there were a few web-based distance English learning systems for children. The existing systems for children have not appropriately reflected their learning characteristics and interests, since most of those systems regards mainly adults as targets. This thesis is aimed at proposing more effective educational service modules of web-based real-time system in order to encourage children's interests as much as possible in learning English. The web-based real-time distance learning system is a model based on the survey over the current use and satisfaction status of elementary school students who have actually used those kinds of systems. With the great expectation of more effective way of learning English, it also focuses on attracting parents to participate the learning process by providing a service to look over, in real-time, what their children do through the internet-based English learning system.

• Journal of Information Technology Applications and Management
• /
• v.17 no.2
• /
• pp.71-90
• /
• 2010

Electronic learning(or e-learning) has created hype for companies, universities, and other educational institutions. It has led to the phenomenal growth in the use of web-based learning and experimentation with multimedia, video conferencing, and internet-based technologies. Many researchers are interested in the factors that affect to the performance of e-learning or e-learning services. In this sense, this study is aimed at proposing e-learning system reuse prediction models in which e-learner intention to reuse influence factors(i.e., system accessibility, system stability, information clarity, information validity, self-regulated efficacy, computer self-efficacy, perceived usefulness, perceived ease of use, flow, and parental expectation) affect e-learner intention to reuse positively. A web survey was conducted for the full members of the e-learning education institute A in Seoul, Republic of Korea, an exclusive e-learning company that provides real time video lectures via the desktop conferencing system. The web survey was conducted for 20 days from November 5, 2009, through the e-learning web site of the company A. In this study, three data mining techniques were used : the multivariate discriminant analysis, CART, and C5.0 algorithm. This study was conducted to provide the e-learning service providers, e-learning operators, and contents developers with marketing and management strategies for improving the e-learning service companies, based on the data mining analysis results.

• Journal of Information Technology Services
• /
• v.18 no.4
• /
• pp.97-113
• /
• 2019

With the development of sensor, communication and intelligent software technology, expectation of IoT-based service which can receive desired service automatically and anytime, anywhere is getting higher. In addition, IoT-based services have begun to anticipate the development of a hyper-connected society. Despite these expectations and anticipations, few studies have empirically identified ways to improve the intentions of prospective customers to use IoT-based services. Therefore, the purpose of this paper is to propose a theoretical model that can explain the factors that determine the intention of using IoT-based services. In addition, this study investigates what factors affect the intention to use IoT-based services focusing on the connectedness. Especially, perceived connectivity with the (virtual) community, unlike the connectivity with the machines, is newly proposed, to understand the IoT technology adoption behavior. The empirical results suggest that social relationship is one of the critical factors to affect the use of services running on interconnected technology such as IoT. When IoT-based service is recognized as a link to other communities, it has been found to have a positive effect on intention to use via perceived belongingness.

• Journal of Convergence for Information Technology
• /
• v.9 no.11
• /
• pp.22-27
• /
• 2019

Along with the universalization of smartphones, smartphone addiction is becoming a physical and mental social problem. The purpose of this study was to investigate the relevance of the problems caused by addiction in 300 adolescents, adults and the elderly. The results showed that the use of SNS and messenger were most related to the negative factors such as health problems, depression, antisocial, schizophrenia, lower self-esteem, and lower social expectation. In addition, games and videos were analyzed to have relatively low negative problems. Focusing on the high addiction rate, the researcher further analyzed the preference for problem solution and discussed the improvement measures for smartphone addiction reduction.

• International journal of advanced smart convergence
• /
• v.8 no.2
• /
• pp.8-17
• /
• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

• Journal of Digital Convergence
• /
• v.17 no.4
• /
• pp.49-55
• /
• 2019

This study is on the trend of real estate market using text mining and big data. The data were collected through internet news posted on Naver from August 2016 to August 2017. As a result of TF-IDF analysis, the frequency was high in the order of housing, sale, household, real estate market, and region. Many words related to policies such as loan, government, countermeasures, and regulations were extracted, and the region - related words appeared the most frequently in Seoul. The combination of the words related to the region showed that the frequencies of 'Seoul - Gangnam', 'Seoul - Metropolitan area', 'Gangnam - reconstruction' and 'Seoul - reconstruction' appeared frequently. It can be seen that the people's interest and expectation about the reconstruction of Gangnam area is high.

• The Journal of the Korea Contents Association
• /
• v.12 no.9
• /
• pp.500-511
• /
• 2012

Recently, use frequency for traffic information which provides shortest paths and traffic condition is increasing. Specially, in the survey, it is shown that users prefer internet portal sites which can be used the most easily among traffic information media. But, there are not many verification systems for traffic information contents of internet portal sites which collect and provide information than traffic information contents which are provided by public service. The purpose of this study is to investigate real accuracy and accuracy felt by users about information provided by portal sites. Therefore, in this research we verified accuracy of information by portal site with real field data and investigate real usage about contents and experienced accuracy by users through survey. Also, users' expectation and satisfaction were surveyed and the contents to be improved were selected by using IPA technique. By the result of accuracy verification by field data using portable DSRC(Dedicated Short Range Communication) devices, it is shown that average error was 14~32% and sometimes very high rate. Also, it is shown that 28.3 % of total respondents prefers the information by portal sites and 50 % of total respondents felt that contents of traffic information by portal sites are not accurate. Real-time traffic condition was selected as the most inaccurate one among all contents of traffic information and it was analyzed that intensive efforts for improving information about real-time traffic condition are needed.