• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2121-2130
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• 2013

Based on the case study methods, the study analyzes that the countless UCC Cloud cloud is the niche creation by the lead users make process. This research show as follows. First, The Drama lovers and fan fiction writers are not only drama consumers but UCC creators/producers. By the process that the UCC and fan fiction is tailored to meet the needs of their users create fan fiction in fandom community, they create an entirely different niche from original drama. Second, the flow(drama consumption/evaluation, viewers needs/adaption, the user's creation/production) which community's creative users make sequentially coevolutes with the flow(drama information offer, intentionally supply/diffusion, derivatives production) of media companies. Third, the drama fandom community activities which is non-commercial activities form the drama ecosystem with a new paradigm, as well as form a virtuous cycle inked to the market continuously beyond fun, play, empathy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4191-4211
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• 2019

Software product lines (SPLs) are complex software systems by nature due to their common reference architecture and interdependencies. Therefore, any form of evolution can lead to a more complex situation than a single system. On the other hand, software product lines are developed keeping long-term perspectives in mind, which are expected to have a considerable lifespan and a long-term investment. SPL development organizations need to consider software evolution in a systematic way due to their complexity and size. Addressing new user requirements over time is one of the most crucial factors in the successful implementation SPL. Thus, the addition of new requirements or the rapid context change is common in SPL products. To cope with rapid change several researchers have discussed the evolution of software product lines. However, for the evolution of an SPL, the literature did not present a systematic process that would define activities in such a way that would lead to the rapid evolution of software. Our study aims to provide a requirements-driven process that speeds up the requirements engineering process using social network sites in order to achieve rapid software evolution. We used classification, topic modeling, and sentiment extraction to elicit user requirements. Lastly, we conducted a case study on the smartwatch domain to validate our proposed approach. Our results show that users' opinions can contain useful information which can be used by software SPL organizations to evolve their products. Furthermore, our investigation results demonstrate that machine learning algorithms have the capacity to identify relevant information automatically.

• Journal of the Korea Society of Computer and Information
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• v.18 no.2
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• pp.157-164
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• 2013

Self efficacy is a term used in psychology, roughly corresponding to a person's belief in their own competence. It has been defined as the belief that one is capable of performing in a certain manner to attain certain goals. It is believed that our personalized ideas of self-efficacy affect our social interactions in almost every way. Understanding how to foster the development of self-efficacy is a vitally important goal for positive psychology because it can lead to living a more productive and happy life. The objective of this study is to show difference of the relationship between user and non-user in smartphone by self efficacy. For this purpose, we propose a research model which consists of 3type' self efficacy. For empirical test of this model, the sample data is collected from employee in a company and divided into two groups by user and nonuser. By multi-group analysis, we show two groups are different from each other in the relationship between user and nonuser of smartphone. Results show difference of the relationship smartphone user and non-user's self-efficacy(self-control self-efficiacy and problem difficulty preference).

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.287-296
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• 2014

Given rapid growth of mobile messenger services (MMSs) such as KakaoTalk, Line, and Wechat, it has become critical to understand the mechanisms that lead to user loyalty in the MMS context. In this regard, this study examined key factors of user loyalty in the MMS environment. We posit attitudinal loyalty and IT expertise as key drivers of behavioral loyalty. In addition, the impacts of perceived usefulness and emotion on attitudinal loyalty were examined. Data collected from 235 KakaoTalk users who have used more than 1 year were empirically tested against a research model using partial least squares. The analysis results found that both attitudinal loyalty and IT expertise play an important role in enhancing behavioral loyalty in the MMS context. The findings of this study indicate that perceived usefulness and positive emotion significantly influence attitudinal loyalty, whereas negative emotion negatively affects it. The analysis results provide several insights that can help MMS providers understand the role of emotion in enhancing user loyalty.

• International Journal of Highway Engineering
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• v.12 no.1
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• pp.39-46
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• 2010

Delineator is a useful device to support driver's safer maneuver. Effective placement and operation of the delineator would lead to prevent traffic accidents on the roads. This study evaluates the effectiveness of parameters associated with delineator placement and operation, which include spacing, height and size, from the point of user's satisfaction. Also, this study devises a methodology for determining such parameters using binary logistic regression technique. The proposed model is capable of producing probabilistic measure of user's satisfaction according to the various parameters. The outcome of this study would be useful fundamentals for more effective placement and operation of delineators.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.904-910
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• 2014

The D&M(DeLone and McLean) IS(Information System) Success model has been widely studied in various criteria such as e-commerce and education, and many empirical research has been performed enough to execute meta-analysis from original model developed in 1992 to updated model in 2003. However, almost all researches have been validated end-user point of view those could lead IS success factors perceived by users but not applicable to developers because developers could not recognize from those result that how much gap exist between one's perception and users. Therefore, in this research, we apply D&M IS success model to A bank developers and users and compare perceptions by multi-group structural equation model.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.65-73
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• 2017

Advances in Internet of Things Technology lead to the increasing number of daily-life things that are interconnected over the Internet. Also, several smart services are being developed by utilizing the connected things. Among the daily-life things surrounding user, the mirror can supports broad range of functionality and expandable service as it plays various roles in daily-life. Recently, various smart mirrors have been launched in certain places where people with specific goals and interests meet. However, most mirrors give the user limited information. Therefore, we designed and implemented a smart mirror that can support customized service. The proposed smart mirror utilizes information provided by other existing internet services to give user dynamic information as real_time traffic information, news, schedule, weather, etc. It also supports recommendation service based on user usage information.

• Journal of the Korea Society for Simulation
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• v.20 no.1
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• pp.61-67
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• 2011

Smart TV System will lead to drastic change of communication and media industries as one of the emerging next generation network services. However, when the number of concurrent users increases rapidly, the issue of service quality degradation occurs because providing services to many users simultaneously stresses both the server and the network. The server limitation can be circumvented by deploying server clusters. but the network limitation is far less easy to cope with, due to the difficulty in determining the cause and location of congestion and in provisioning extra resources. In order to alleviate these problems, a number of schemes have been developed. Prior works mostly focus on reducing user-centric performance metrics of individual connection, such as the round-trip time(RTT), downloading time or packet loss rate, but tend to ignore the network loads caused by the concurrent connections or global network load balance. In this work, we make an in-depth investigation on the issue of user grouping for massive Smart TV services through simulations on actual Internet test-bed, PlanetLab.

• Journal of Digital Contents Society
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• v.18 no.8
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• pp.1671-1676
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• 2017

In theses days, data has been explosively generated in diverse industrial areas. Accordingly, many industries want to collect and analyze these data to improve their products or services. However, collecting user data can lead to significant personal information leakage. Local differential privacy (LDP) proposed by Google is the state-of-the-art approach that is used to protect individual privacy in the process of data collection. LDP guarantees that the privacy of the user is protected by perturbing the original data at the user's side, but a data collector is still able to obtain population statistics from collected user data. However, the prevention of leakage of personal information through such data perturbation mechanism may cause the significant reduction in the data utilization. Therefore, the degree of data perturbation in LDP should be set properly depending on the data collection and analysis purposes. Thus, in this paper, we develop the simulation tool which aims to help the data collector to properly chose the degree of data perturbation in LDP by providing her/him visualized simulated results with various parameter configurations.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.4
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• pp.35-55
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• 2018

The purpose of this study is to suggest how to activate the school library by examining how the users' perceive teacher librarians. For this purpose, questionnaires and in-depth interviews were conducted for students in 10 middle and high schools in Seoul and Gyeonggi. Analyses lead to these findings: the image types of teacher librarians were classified as professional image, active image, and simple-work image. Multiple regression analysis was used to examine the effect of teacher librarians images on school library user satisfaction. In order to enhance the teacher librarians images and school library user satisfaction, it is necessary to strive to cultivate the active attitude and professionalism of teacher librarians. Also, as the frequency of use is lower, the teacher librarians' images are viewed as simple work. Therefore, it is required to consider various reading events and reading education to raise the frequency of use. This study shows that the teacher librarians' images have a positive effect on school library users' satisfaction and suggests improvement plan for school library activation.