• Journal of Digital Convergence
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• v.19 no.8
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• pp.301-310
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• 2021

The purpose of the study was to induce meaning of the UX design from users' interview. The study covers interviews from 20 untact finance application users in their twenties in written form. It aims to examine previous studies on UX design and to overcome their shortcomings by categorizing usability qualities focusing on verbs used in the interview. The followings are the result: Usability of UX design can be summarized into Unity, Trust, Persistency, Recognition and Approachability of the information to the 20 users in their twenties. As for the data earned from interviews focusing on verbs, usability included Security, Familiarity, Accessibility, Convenience of Operation and Visibility. Each of the qualities fell into related categories such as Security, Information, Brand and Design. In conclusion, analysis based on verb choices led to better understanding of the user-based experience compared to using objective means in previous studies and can be a suggestion to make up for errors in the former evaluation process.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.438-449
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• 2019

This study explored the perception of internet media credibility and influencing factors among college students who are routine users of internet-based media. Media literacy competences are of primary interest among others in that users' media literacy such as information evaluation, critical understanding of media, and information sharing are assumed to be related to media credibility. The results of analysis revealed critical understanding ability to be statistically significant and consistently influencing factor. Users with more critical view on media ownership, represented reality, commercial intention of media seemed less likely to trust internet media. Whereas media use motive for information was found to be a strong predicting factor, motive for pleasure showed no relationship with credibility. Based on the findings, suggestions for new research and limitations of the study were discussed.

• Journal of Information Technology Services
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• v.21 no.2
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• pp.109-126
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• 2022

The number and variety of products and services offered by companies have increased dramatically, providing customers with more choices to meet their needs. As a solution to this information overload problem, the provision of tailored services to individuals has become increasingly important, and the personalized recommender systems have been widely studied and used in both academia and industry. Existing recommender systems face important problems in practical applications. The most important problem is that it cannot clearly explain why it recommends these products. In recent years, some researchers have found that the explanation of recommender systems may be very useful. As a result, users are generally increasing conversion rates, satisfaction, and trust in the recommender system if it is explained why those particular items are recommended. Therefore, this study presents a methodology of providing an explanatory function of a recommender system using a review text left by a user. The basic idea is not to use all of the user's reviews, but to provide them in a summarized form using only reviews left by similar users or neighbors involved in recommending the item as an explanation when providing the recommended item to the user. To achieve this research goal, this study aims to provide a product recommendation list using user-based collaborative filtering techniques, combine reviews left by neighboring users with each product to build a model that combines text summary methods among deep learning-based natural language processing methods. Using the IMDb movie database, text reviews of all target user neighbors' movies are collected and summarized to present descriptions of recommended movies. There are several text summary methods, but this study aims to evaluate whether the review summary is well performed by training the Sequence-to-sequence+attention model, which is a representative generation summary method, and the BertSum model, which is an extraction summary model.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.113-128
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• 2022

The objective of this study is to pay attention to the personal media environment that is in the center of rapid changes in the media industry, to especially explore the activity area of one-person or minority media creators who lead the mobile media environment that could be connected, watched, and produced anywhere, and to closely examine the mutual ecosystem between creators and viewers. Especially, paying attention to the recommendation service YouTube provides, for example, based on the big data algorithm related to users' habitual use, when users' data used are provided more, the users face the advanced service, this study aimed to examine the effects of recommendation service on the formation of trust between user and producer, user flow, and subscription intention, and also to demonstrate the process of forming this mutual relation through concrete data. In the conclusion, implications that can be inferred based on the research results and suggestions for further research in the future were presented.

• The Journal of Society for e-Business Studies
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• v.18 no.1
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• pp.107-127
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• 2013

The evolution of IT facilitated the communication and knowledge sharing between the social network service (SNS) users. When the more information about SNS users had been posted in SNS site, SNS users had sometimes exposed in the risk of privacy invasion. To remedy this problem, we had introduced the information control mechanisms from the prior studies in data management to the SNS area and empirically validated the effect of these mechanisms in this research. Three information control mechanisms had been elected as access control, reference control and diffusion control. We had conducted a survey to the Facebook users which is the most famous SNS site. 459 data had been gathered and analyzed by PLS algorism. As the results, reference control and diffusion control has significantly increased the trust on SNS providers and decrease the privacy concern. This change could significantly affect on the satisfaction with the SNS site and knowledge sharing intention of SNS users. This study could introduce the new perspective about privacy protection issues in SNS area. Also, the information control mechanisms suggested in this study could contribute to make more robust privacy protection mechanisms in SNS site in practice.

• Journal of Information Technology Applications and Management
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• v.18 no.4
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• pp.183-202
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• 2011

Since smart phones are changing the media for communication and its related mobile market, it is imperative to attract more application developers for success in application store business in order to attract more app users. By using aspects of the commitment marketing theory and the relationship marketing theory, this research study identified factors that influence on the relational commitment of application developers to the market. Survey of application developers from Korean mobile application developers' community was conducted to test the hypothesized model. The empirical results showed from an economic behavioral perspective market demand for applications and perceived usefulness of development tool led to relational commitment of developers mediated by perceived satisfaction while attractiveness of alternatives had no significant effect. In addition, fairness of review process and interactivity, based on the relationship marketing theory perspective, showed significant effect on the relational commitment of developers mediated by trust for application market.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.31-38
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• 2013

The evolution of the Web from Web 1.0 to Web 2.0 has brought up new platforms as SNSs(Social Network Service) that are used by users to articulate and manage their relationships. SNSs are an online phenomenon which has become extremely popular. A SNS essentially consists of a representation of each user, his/her social links, and a variety of additional services. SNSs are increasingly attracting the attention of academic and industry researchers. What makes SNS unique is that they have a relationship with friends. The friend recommendation is one important feature of social networking services. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose an efficient data processing method for social data. We study previous researches about social score in social network service. Our ESS(Efficient Social Score) is computed by both friendship weight and score of a document that was tagged by a user's friends. Our experimental results also confirm that our method has good performance.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.576-581
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• 2007

The purpose of this paper is to strengthen trust on the automated collaborative filtering system. Automated collaborative filtering system is quickly becoming a popular technique for recommendation system. This elaborative methodology contributes for reducing information overload and the result becomes index of users' preference. In addition, it can be applied to various industries in various fields. After it collaborative filtering system was developed, many researches are executed to enhance credibility and to apply in various fields. Among these diverse systems, collaborative filtering system which uses Pearson correlation coefficient is most common in many researches. In this paper, we proposed new process diagram of collaborative filtering algorithm and new factors which should improve the credibility of system. In addition, the effects and relationships are also tested.

• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.77-82
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• 2010

Residential network is the hybrid technology of wireless, Ethernet, Bluetooth and RF to the internet via broadband connection at home to facilitate the convenient, safe and pleasant daily lives of home user with various home network services regardless of device, time and place. For ubiquitous development more devices will be wireless and most of them will be roaming. Since these roaming devices carry private information of daily life of residential users, the interaction among the roaming devices of residential network must be secure. This paper presents to secure registration of roaming devices using IP Security (IPSec) Protocol Suite without the need to trust foreign agents.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.12 no.1
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• pp.13-18
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• 1979

Volumetric efficiency is a determining factor for tile measurement of compessor capacity, but it is practically hard to take an accurate measurement of capacity characteritics so that most of users trust the data of makers catalogue. We often realized the discrepancy in their data with actual capacity. This study was attemped to establish the basic data of capacity characteristics of compressor by measuring volumetric efficiency of high speed multi-cylinder compressor and rotary compressor. The volumetric efficiency was calculated based on the quantity of the flow of ammonia vapor and pressure difference in suction state of orifice plate and compressor. The volumetric efficiency of high speed multi-cylinder compressor was $37-61\%$ and that of rotary compressor was $57-82\%$ when compression ratio was in the range of 4-12. The discrepancy in volumetric efficiency at an equal evaporating temperature between the makers catalogue and the measured data was $5.5\%$.