• Journal of the Korea Society of Computer and Information
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• v.22 no.12
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• pp.117-123
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• 2017

The personalized search algorithm is a search system that analyzes the user's IP, cookies, log data, and search history to recommend the desired information. As a result, users are isolated in the information frame recommended by the algorithm. This is called 'Filter bubble' phenomenon. Most of the personalized data can be deleted or changed by the user, but data stored in the service provider's server is difficult to access. This study suggests a way to neutralize personalization by keeping on sending random query words. This is to confuse the data accumulated in the server while performing search activities with words that are not related to the user. We have analyzed the rank change of the URL while conducting the search activity with 500 random query words once using the personalized account as the experimental group. To prove the effect, we set up a new account and set it as a control. We then searched the same set of queries with these two accounts, stored the URL data, and scored the rank variation. The URLs ranked on the upper page are weighted more than the lower-ranked URLs. At the beginning of the experiment, the difference between the scores of the two accounts was insignificant. As experiments continue, the number of random query words accumulated in the server increases and results show meaningful difference.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1626-1638
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• 2019

Social Networking Sites (SNS) provide people with unique online social interaction environments where users can disclose their thoughts, feelings, and opinions to their personal contacts. Although previous studies have suggested that such activities produce positive effects on SNS user well-being, this study considered potential negative effects by investigating the relationship between SNS use and depression. In particular, This stydy examined how specific activities are related to different types of social comparison (upward/downward/horizontal) and how these different types of social comparison influence depressed moods among college students. The analysis of a survey of 245 Instagram users found that (1) looking at other people's status updates and commenting on other people's photos influences upward social comparison, (2) frequency of Instagram use predicts upward/downward/horizontal social comparison, and (3) upward social comparison was postively associated with depression, while downward social comparison was negatively associated with depression. Furthermore, the path anlaysis show that social comparison mediates the effect of Instagram use on depression. It suggests that Instagram use does not directly increase depression but it can lead to depression when social comparison on Instagram triggers depression.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.241-260
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• 2004

Trade portal site is one of the tools which makes it possible for small and medium-sized enterprises(SMEs) to manage international trade activities more efficiently by using the newest information and telecommunication technology. So Korean SMEs should utilize trade portal sites more actively to promote global competitive power. Based on the theory of service quality and an existing research related to using information technology. this research analyzed the primary factors which affect user's utilization satisfaction in using trade portal sites. According to the results of the empirical study on actual users of the representative trade portal sites by using multiple regression analysis, The primary factors, such as service quality, government policy and cost have affected user's utilization satisfaction in using trade portal site. and user's utilization satisfaction have positive effect on continuous using intention. These research results will provide many useful insights to the managers of trade portal sites, e-trade system developers and government policy makers.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.189-194
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• 2019

This paper is a study on the methodology of making customized contents according to user 's tendency through the development of learning contents utilizing IT. A variety of learners around the world use mobile devices and mobile learning contents to conduct their learning activities in various fields, and foreign language learning is one of the typical mobile learning areas. Foreign language learning contents suggested in this study is constructed based on the learner's verbal and text information in accordance with the user's vocal tendency. It is necessary to find out a suitable method to translate the user's native language text into the target language and make it into user friendly content.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.69-88
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• 1999

The purpose of this study is to determine whether the centralization of information technology activities and the organizational structures, especially the centralization of decision making and the complexity have any effects on the information systems performance. The strategic types, the formalization dimension of organizational structures, and the industrial characteristics, which might have impacts on the dependent variables were controlled. Information systems performance was measured by both user satisfaction and organizational performance. To achieve the research objective, a field study using the structured questionnaires was employed. Thirty large companies participated in this study. Multivariate regression analysis was used to analyze the data collected. Findings of this study are summarized as follows: The centralization of IT activities, the centralization of decision making, the complexity of organizational structure and the interaction effects among these independent variables all turned out to have statistically significant effects on the user satisfaction, while not on the organizational performance. The implication of these findings is that the IT structure must be determined in congruence with the organizational structures and vice versa. One weakness of this study is that the strategic type was not an independent variable but a controlled variable. Further study of using the strategic type as an independent variable with more sample corporations is to be encouraged.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.1-7
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• 2023

This study analyzed user experience elements with healing game characteristics in eight horticultural games based on Lazro's theory of four fun elements, aiming to use horticultural treatment effects as basic data for horticultural game design. The games were found to be developed around "Serious Fun" and "Easy Fun," with "Hard Fun" and "People Fun" also included. Healing games including horticultural activities were highly linked to actual horticultural activities, resulting in horticultural treatment effects. Future studies will design horticultural healing games and verify their effects based on these results.

• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.309-333
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• 2014

To meet the challenge of new type of innovation activities requires us to understand the social context of innovation and the potential needs of innovation users and, based on this, to co-construct technology and society simultaneously. Effective 'demand articulation' activities such as the understanding and utilization of user experiences and socio-technical planning are prerequisites for carrying out post-catch up innovations shaping new trajectories and contributing to solving social problems. Living Lab has recently been emerging particularly in Europe as an 'user-driven innovation model', in which users are active participants in innovation activities. The purpose of this study is to contribute to a theoretical discussion of Living Lab as an user-driven innovation model, to make a brief review of cases of Living Lab and to explore Living Lab's applicability in the Korean context. Living Lab is an open innovation model, in which end suers actively participate in innovation processes in a particular geographical space or region and would be able to solve specific problems of that space or region. In that sense, Living Lab would be able to strengthen the problem-solving capabilities of local communities and to become a pioneer in inducing and realizing a new socio-technical system. Furthermore, Living Lab could become an innovative policy tool reflecting recent major changes in innovation policy paradigms such as post-catch up innovation, demand-oriented innovation, regional innovation, societal innovation, innovation eco-system and socio-technical system transition, and thus make a contribution to exploring a new way of bringing about changes in the Korean society.

• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.9-16
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• 2021

This study aims to develop a human activity recognition (HAR) system as a Deep-Learning (DL) classification model, distinguishing various human activities. We solely rely on the signals from a wristband accelerometer worn by a person for the user's convenience. 3-axis sequential acceleration signal data are gathered within a predefined time-window-slice, and they are used as input to the classification system. We are particularly interested in developing a Deep-Learning model that can outperform conventional machine learning classification performance. A total of 13 activities based on the laboratory experiments' data are used for the initial performance comparison. We have improved classification performance using the Convolutional Neural Network (CNN) combined with an auto-encoder feature reduction and parameter tuning. With various publically available HAR datasets, we could also achieve significant improvement in HAR classification. Our CNN model is also compared against Recurrent-Neural-Network(RNN) with Long Short-Term Memory(LSTM) to demonstrate its superiority. Noticeably, our model could distinguish both general activities and near-identical activities such as sitting down on the chair and floor, with almost perfect classification accuracy.

• Journal of Environmental Impact Assessment
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• v.15 no.3
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• pp.179-191
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• 2006

The authors argue that the current Government Information System for asthmatics appears to be non-user friendly due to lack of the cartographic representation for the text based statistical data. Acknowledging these constraints, an operational, user-friendly map for asthmatic prevalence has been generated by combining existing statistical data with the administrative Dong boundary map under GIS environment. The Geographical User Interface, in particular, were ideally suited to deriving the major distribution patterns that more asthmatic prevalence tends to be occurred on conventional commercial district and industrial complex. A visual map using spatial modelling technology were generated to show the fact that some degree of increasing or decreasing trends of asthmatic prevalence already exists in the experimental sites. It could be used as an evidence to restrict initiation of development activities causing negative influence to asthma such as road construction. The result of this study would play a crucial role in improving the quality of environmental health information service if it is operationally introduced into the Government since the highly user-friendly interface provides a completely new means for disseminating information for asthmatics in a visual and interactive manner to the general public.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.2
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• pp.55-73
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• 2021

Purpose -This study aims to determine how the characteristics of the airline's SNS marketing affects brand image, brand attitude according to perceived values, and to analyze the impact of SNS marketing factors. It was intended to provide theoretical and practical implications for airlines to refer to SNS marketing activities. Research design, data, and methodology -A questionnaire was formed based on previous studies, and then an online questionnaire was created to conduct a survey. Explained the purpose and asked to respond. From February 1 to 14, 2020, 333 responses with a valid number of samples were confirmed for the final analysis of the data. The questionnaire was composed of five areas: demographic characteristics, SNS factor, brand image, brand attitude, and perceived value. Result -Airline's SNS marketing, brand image, and brand attitude are affected by the gender, age, and SNS usage time of the user, and the perceived value of the user is shown to be controlled by the airline's SNS marketing's influence on brand image and brand attitude. Conclusion -When SNS is to be effectively used for airline marketing, it is necessary to pay attention to the demographic characteristics and the control effect of perceived value, and use it for airline management. The perceived value has been shown to affect SNS marketing's brand image and brand attitude.