• The Journal of the Convergence on Culture Technology
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• v.2 no.1
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• pp.93-98
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• 2016

As information technologies are rapidly developed recently, social networking services through a variety of mobile devices and smart screen is becoming popular. SNS is a social networking based services which is online forms from existed offline. SNS can also be used differently which is confused with the online community. A modelling algorithm is a variety of techniques, which are assocoation, clustering, neural networks, and decision trees, etc. By utilizing this technique, it is necessary to study to effectively using the large number of materials. In this paper, we evaluate in particular the performance of the algorithm based on the results of the clustering using Facebook Insights data for the EM algorithm to be evaluated as a good performance in clustering. Through this analysis it was based on the results of the application of the experimental data of the change and the South Australian state library according to the performance of the EM algorithm.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.27-39
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• 2017

To grasp the current status of smart campus and look for future directions, this study investigated the usage rate and perceived usefulness of digital devices and services by conducting online survey of 580 university students. The main results are as follows. First, smartphones have the highest ownership rate, followed by laptops, desktops, and digital cameras. Purchase intention of virtual reality devices is highest followed by smart watches/bands, and tablets. Second, mobilization in campus life is almost realized, however the usage of desktops is still high in education and administration context. Digital devices have been perceived particularly useful when searching and sharing information. Third, students use digital services such as search engines, messengers, and online libraries in their learning, and they use messengers, music and video services in their lives. Service usage rate and perceived usefulness are not proportional.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.279-300
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• 2021

The present study aimed to investigate the information needs and information seeking behavior of consumers who attempted to quit or maintain the ceasing of smoking and analyze the effects of the health information obtained at different stages. In particular, we examined how consumers use mobile health applications(health apps) as aids to change unhealthy behaviors and how their use of health apps influence health behavior changes. For 7 months from December 2017 to July 2018, the researchers observed changes in smoking behaviors of college students who use smoking-cessation apps and conducted face-to-face interviews. Regarding the effects of smoking-cessation apps, the participants in the action stage reported that they were encouraged to quit smoking by visualized information such as the number of days of smoking cessation, change of health status, and the saving of money due to smoking cessation. The participants in the maintenance stage highlighted that smoking cessation apps were helpful in recognizing the importance and achievement of smoking cessation by sharing experiences and social support with other attempters in the app community. The study provided theoretical implications in the field of information behavior in that it identified the particular types of information needs and information-seeking behavior of the consumers who were using mobile apps in their behavior modification process. In addition, those findings can contribute to designing the contents of the smoking cessation apps that reflect the information needs of those who attempt to cease smoking and further suggest practical insights to health information services that promote effective information intervention strategies in health behavior change.