• Journal of Digital Convergence
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• v.14 no.6
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• pp.295-307
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• 2016

The purpose of this study was to explore the influence of credibility of health information (CHI) source and e health literacy (eHL) on health information orientation (HIO) of parents of hospitalized children. Convenience sampling method of 109 parent whose children were admitted in a children's hospital in D city was used. The hierarchial regression model with general characteristics and characteristics of children for step 1 and eHL and CHI for step 2 against HIO was statistically significant (F=8.22, p<.001). And this model could explain 40% of HIO ($R^2$=.40). Especially, eHL (${\beta}$=.54, p<.001) and CHI (${\beta}$=.21, p=.008), subjective health perception (${\beta}$=.19, p=.016), and age (${\beta}$=-0.15, p=.048) were identified the influencing factors on HIO. Based on these findings, to foster the HIO of parents of inpatient children, credible health information should be given to these population and a approach with eHL enhancement should be considered. And further research that is to explore the way to enhance the eHL should be carried out to suggest the practical application

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.97-105
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• 2022

This study deals with the credibility of citizens when investing in uncertain project companies, as well as the Social Performance Compensation Project (SIB) and the IT sharing economy. This allows the convergence of the three sectors to address investment inequalities in economic effectiveness and social security. Activates the model of the overall Social Impact Bond (SIB) process that successfully activates the exchange of information. The empirical presentation of the operations and techniques for social IT service finance examines how the innovation ecosystem can be created with social performance and reward projects. The analysis shows that small sharing institutions or citizens can participate directly to create the ability to connect with private investors, identify the possibility of recognizing non-shared barriers to participation, and show the great impact of citizen trust in IT sharing projects in uncertain areas. As a result, for the sake of social sharing and IT cooperation promoted by the City of Seoul, before the project has the ability to design directly, it will be responsible for reliability and safety in the planning of the project. Therefore, non-shared citizens can also participate in the platform that has been effectively constructed and created.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.409-414
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• 2018

In China, the usage of smart speaker is continuously increasing. In this study, it is aimed to research on the user experience of the Chinese smart speaker. Therefore, we did literature research followed with theoretical background of smart speaker, and did case study of worldwide popular smart speaker brands. On this basis, we conducted in-depth interview with 8 users who have experienced with the top-selling Chinese smart speaker product "Tmall Genie" and "Mi AI speaker". The interview is based on 7 principles named Honeycomb model, which created by Peter Morville. As a result, users' discomfort was found in the functional part and the usability part of the smart speaker. Furthermore, the users were highly unsatisfied with the smart speaker in the credibility part. Accordingly, Chinese smart speaker should consider the user experience aspects to complement functional and usability parts for user.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.103-112
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• 2013

Traditional method of establishing prediction model is usually using formal data stored in Data Base. However, nowadays advent of "smart" era brought by ground-breaking development of communication system makes informal data to dominate overall data, such 80% in total. Therefore, conventional method using formal data as establishing predicting model would be untrustworthy means in present. In other words, it is indispensible to make prediction model credible including informal data(SNS, image, video) and semi-formal data(log data). In this study, we increase credibility of predicting model adapting Bigdata method and comparing reliability of conventional measurement to real-data.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.153-158
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• 2018

Fundamental problems of e-commerce are exaggerated advertising of products, lack of trust in products or suppliers, and false reviews. As a solution, I have merged the concept of trust service embedded in social network service(SNS) with commercial domain to develop a new type of service called "Reliable SNS Commerce Service". The contents developed in this paper are as follows: first, online community functions for users to provide services; second, commerce functions; and third, functions for linking SNS and commerce. Through the reliability information presented in this paper, the seller provides more reliable and objective purchase information to the buyer about the sales items, thereby contributing to the sales by increasing the probability of the actual purchase. The buyer can purchase the higher-quality products with confidence. The service providers can gain the reputation as a reliable site for purchasing members. In conclusion, this paper provides a positive effect to all the participants, which will contribute to the development of a new commerce market and activation of electronic commerce.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.1-11
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• 2017

The purpose of the study is to develop an online measurement scale for diagnosing self-directed learning ability for students in Korea. In order to achieve the goal, literature review, case analyses, and experts interview were carried out and finalized the blended-learning based SMMIS model. A total of 1,626 elementary, middle and high school students participated in the scale survey to validate the credibility and validity. Based on these results, an online measurement tool for self-directed learning was developed. The tool can be used in blended-learning environment to maximize its effectiveness. In conclusion, we discussed about implications and strategies for the blended-learning based on self-directed learning program model for young students, and suggested future vision and further research.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.211-221
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• 2014

The study aims to estimate the determinants of policyholder's trust for the Chinese insurance industry by structural equation model. In particular, differences in determinants of trust among Chinese life insurance and auto insurance were derived from the latent mean and multi group analysis. The result shows the most effective determinants of trust were honesty, followed by credibility which shows the compensation ability of insurance company. However, benevolence is not influence statistically on the determinants of trust of both life insurance and auto insurance. Moreover, the policyholder's trust for the insurance industry was later extended to relationship commitment such as renewal and recommendation intentions. Especially, the linkage between the level of trust and relationship commitment was the strongest in life insurance than auto insurance. Even though the result is differ based on types of insurance, in order for the insurance industry to grow stably it is importance to get trust from policyholder.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.235-241
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• 2019

The purpose of this study is to investigate the characteristics of advertising section of the daily newspaper through content analysis. From April 2015 to March 2017, a total of 1,927 advertisements were analyzed by the newspaper ethics committee, and the following results were obtained. Firstly, most types of features (advertising) received more attention than warnings. Secondly, we can confirm that the amount of advertisement in section (featured) of major daily newspapers is gradually increasing, and section advertisement is appeared in major business districts. Third, there were many violations in the practice guidelines of the newspaper code of ethics as the media's responsibility and press coverage. Finally, in the case of certain companies and products, if you do not follow the principles of publication for profit and publicity, you may need to make your own efforts to protect the credibility and fairness of newspapers, and more autonomous guidelines.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.477-487
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• 2017

This study is for empirical analyzing the ethical contents in using social media, such as what kind of ethical responsibility do the teenage users have, how do they recognize the ethical concept in producing or sharing the information and how these ethical factors affect their behavior of social media uses. After survey with the structured questionnaire, statistical analyses with available 227 cases are processed. As a result, there are 4 ethical factors in using social media which as included 'privacy', 'copyright', 'fullness', 'accuracy', 'truth-telling', 'fairness', 'relief of harmful effect', 'credibility', 'objectivity', 'impartiality', included 'moderation', 'respect', 'autonomy', 'control', 'care of mischief', included 'interactivity', 'multiplicity', 'anonymity', 'divergence', 'social community', included 'transparency', 'openness'. All these ethical factors are positive correlated to the level of social media users' opinion expression, opinion support, information leading, information searching. Especially, is the most effective factor to social media users' behavior.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.567-575
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• 2020

As online social networks are used as a critical medium for modern people's information sharing and relationship, their users are increasing rapidly every year. This not only increases usage but also surpasses the existing media in terms of information credibility. Therefore, emerging marketing strategies are deliberately attacking social networks. As a result, public opinion, which should be formed naturally, is artificially formed by online attacks, and many people trust it. Therefore, many studies have been conducted to detect agents attacking online social networks. In this paper, we analyze the trends of researches attempting to detect such online social network attackers, focusing on researches using social network graph characteristics. While the existing content-based techniques may represent classification errors due to privacy infringement and changes in attack strategies, the graph-based method proposes a more robust detection method using attacker patterns.