• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.3
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• pp.111-128
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• 2019

This study was conducted as part of an effort to vitalize policy information services (POINT) of National Library of Korea, Sejong. The authors examined information behavior and policy information service use behavior of policy information users and checked if there are any differences in information behavior by participants' occupations (public officials, researchers, and librarians). We carried out an online survey and collected 331 completed survey responses. Overall, the most frequently used type of material was research report, followed by journal article and monograph, etc. The participants frequently used search engines and policy information services to acquire policy information. Also, 47.7% of the participants were aware of and had usage experience of POINT. Furthermore, we found statistically significant differences in some aspects of policy information behavior and in perceptions toward POINT across participants' occupations. These findings suggest that National Library of Korea, Sejong needs to improve their services based on a better understanding on target users.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3738-3760
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• 2022

Due to increasing spectrum demand for new wireless devices applications, cooperative spectrum sensing (CSS) paradigm is the most promising solution to alleviate the spectrum shortage problem. However, in the interweave cognitive radio (CR) system, the inherent nature of CSS opens a hole to Byzantine attack, thereby resulting in a significant drop of the CSS security and efficiency. In view of this, a weighted differential sequential single symbol (WD3S) algorithm based on MATLAB platform is developed to accurately identify malicious users (MUs) and benefit useful sensing information from their malicious reports in this paper. In order to achieve this, a dynamic Byzantine attack model is proposed to describe malicious behaviors for MUs in an interweave CR system. On the basis of this, a method of data transmission consistency verification is formulated to evaluate the global decision's correctness and update the trust value (TrV) of secondary users (SUs), thereby accurately identifying MUs. Then, we innovatively reuse malicious sensing information from MUs by the weight allocation scheme. In addition, considering a high spectrum usage of primary network, a sequential and differential reporting way based on a single symbol is also proposed in the process of the sensing information submission. Finally, under various Byzantine attack types, we provide in-depth simulations to demonstrate the efficiency and security of the proposed WD3S.

• Design Convergence Study
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• v.14 no.5
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• pp.103-115
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• 2015

This study sheds light on the entertaining aspects of Media Pole that is located in Gangnam U-Street and proposes design that considers the aspects of the form, experience, contents and communication of scribbling. Functioning as public digital media, Media Pole provides various convenient services related to the area. According to the research on user's behavior upon Media Pole, photo related services, which can be categorized as entertainment, were found to be the most frequently used services among various services. Taking user's behaviors into consideration, this study highlights the entertaining aspects of Media Pole and suggests design that applies the playfulness of scribbling. The playful characteristics of scribbling were applied to the Media Pole's user interface, interaction, application and interlocking functions. As a result, users are expected to increase as Media Pole becomes more playful than before. Since scribbling is an act of intrinsic human's desire, it will attract users to participate more voluntarily. It can be applied not only to Media Pole, but to any public digital media devices.

• Design Convergence Study
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• v.15 no.2
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• pp.301-317
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• 2016

Flexible display interface is capable of creating new user behaviors based on its characteristics of outstanding surface representation and display transformations such as bending, rolling, and folding. Thus, it is being discussed that the newly emerging flexible display interface can offer a different user experience that the previous flat display couldn't. However, as it is hard to find studies that identify the general attributes of user experience in the area of flexible display research, this study was intended to identify and label experience that users expect in a flexible display interface. For this purpose, this study first investigated literature reviews about user experience in previous digital media interface and flexible display interface and conducted interview research in order to reflect the users' perception, collecting 52 items that represent user experience. In addition, these items were used as measurements to deduct different types of user experience, and 308 interviewees participated in the interview research process. As a result, 10 types of user experience were developed from the results of the survey: functionality, understandability, pleasure, convenience, familiarity, stimulation, adaptability, collectivity, reality, and aesthetic.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.169-180
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• 2022

As people spend more time indoors due to the COVID-19 pandemic situation, content consumption is increasing, leading to the rapid demand for Over The Top(OTT) services. Thus, this study attempted to verify impacts of OTT traits on the value, satisfaction, and continuous use intention perceived by users. Through the survey, 437 responses were collected, and analysis was conducted using AMOS 26.0. Results found that the traits of OTT service had a positive effect on perceived value that had a positive effect on user satisfaction and continuous use intention. User satisfaction was also found to have a positive effect on the intention to continue using OTT services. Moreover, hedonic innovation moderated the relationships between OTT traits and perceived value with exception of ubiquity. The findings provide valuable information for OTT service providers in understading users' behaviors.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.51-61
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• 2023

Messengers such as KakaoTalk, LINE, and Facebook Messenger are universal means of communication used by anyone. As the convenience functions provided to users and their usage time increase, so does the user behavior information remaining in the artifacts, which is being used as important evidence from the perspective of digital forensic investigation. However, for security reasons, most of the data is currently stored encrypted. In addition, cover-up behaviors such as intentional manipulation, concealment, and deletion are increasing, causing the problem of delaying digital forensic analysis time. In this paper, we conducted a study on the data decryption and artifacts analysis in a Windows environment for KakaoTalk, the messenger with the largest number of users in Korea. An efficient way of obtaining a decryption key and a method of identifying and decrypting messages attempted to be deleted are presented, and thumbnail artifacts are analyzed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.3
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• pp.515-525
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• 2024

Dark patterns refer to intentionally deceptive design techniques used by online service providers to hide necessary information, preventing users from taking desired actions or luring them into unintended behaviors. In this study, we analyzed the prevalence of dark patterns such as banners, advertorials, pop-ups, and video ads, and their impact on users across the top 200 news websites worldwide. The research revealed that there is a minimal correlation between banner ads and user bounce rates or unique visitors. Consequently, the main screen moving banner and headline news screen moving banner were most frequently observed in South America, while the headline news screen fixed banner was most commonly observed in Asia. All other categories were predominantly observed in Europe, making European websites the most diverse and abundant in various dark patterns.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.417-439
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• 2024

This study aimed to analyze the impact of public library librarians' innovative work behavior on service quality, which is an indicator of organizational performance. To achieve this goal, the study surveyed both librarians and users of seven public libraries in the Seoul metropolitan area and assessed 77 cases of librarian data and 309 cases of user data. The innovative work behaviors of librarians and the quality of service provided to users were examined. The analysis showed that idea realization, the final stage of innovative work behavior, was beneficial for information control. However, idea generation, the initial stage of innovative behavior, adversely affected the affect of service and information control dimensions. The situation where the process stalled at the idea generation stage without progressing to the next stage (idea promotion or realization), was interpreted as leading to decreased service quality. The significance of this study is that it applied the concept of innovative work behavior to public libraries and suggested the impact of public librarians' innovative work behavior on service quality using an empirical method.

• Information Systems Review
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• v.22 no.1
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• pp.91-111
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• 2020

E-book markets are currently moving through a period of disequilibrium as new pricing structures (i.e., flat-fee subscriptions) are rapidly embraced by major vendors. On the basis of a novel dataset, we investigate how the availability of "all-you-can-read" pricing programs influences consumers' tariff choice and contract renewal behaviors. Consistent with the rational choice framework, the findings suggest that most e-book consumers significantly gain from subscription-based tariffs. Power readers prefer flat-fee subscriptions, and those that have economically benefited renew their subscription. However, we also find some other intriguing results. Among the three subscription designs examined, the 1-week plan affords consumers more economic benefits than do 1-day or 1-month programs. Finally, iOS users are more inclined to select subscription models than are Android users because of the absence of in-app purchase functionalities for the former. The unavailability of in-app purchase affects tariff choices and transaction patterns as it increases transaction costs.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.