• Journal of Digital Convergence
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• v.19 no.3
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• pp.1-12
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• 2021

This study aims to verify the mediating effect of social support in the relationship between online social relations service utilization(PC, mobile) and life satisfaction for middle-aged and Older Adults. For this purpose, the '2017 Digital Devide Survey' data collected by the National Information Society Agency was used, and among 2,300 middle-aged and Older Adults aged 55 or older, 1,488 people using the Internet were selected as the final analysis target. Then, using the structural equation, the mediating effect of social support was verified in the between online social relations service utilization and life satisfaction. As a result, it was verified that higher levels of mobile-based social relations service utilization have a positive effect on social support and life satisfaction. Also, it was confirmed that social support has a mediating effect in the relationship between the utilization of mobile-based social relations service and life satisfaction. However, the utilization of PC-based social relations services did not show to affect social support and life satisfaction. Therefore, the results of this study can be used as basic data for practical measures to increase the connection between mobile-based social relationship service education and social support promotion education for middle-aged and Older Adults. In addition, the study is meaningful in that it overcomes the limitations of measuring the use of online social relations services as one, and selects tools that are practically effective by dividing them into mobile and PC.

• The Korean Journal of Archival Studies
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• no.23
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• pp.179-225
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• 2010

The purpose of this study is to investigate the information-providing procedure of public servants responding to the request for the business information through the Information Disclosure mechanism in Korea. Using date collected by in-depth interviews we studied their information providing behaviors and factors that affect the procedure. Based on Grounded Theory approach, we first generated 55 concepts, 18 categories and 6 super-categories about the participants' feeling, experiences and perception related to their information providing. Then we developed a factor model among those generated concepts. And, we discussed various information providing modality of 3 difference type of information according to the formal record keeping level. The main contributions of this study are the results provide practical implications for the enhancing the Information Disclosure institution in Korea.

• Journal of Science of Art and Design
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• v.12
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• pp.5-41
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• 2007

As public attention on Well-being culture increases, it is now considered to be a new trend of modern society. The purpose of this study is to publicize the necessity of design products which are advanced in quality and encourage the use of it. The researcher judged that study on design of lighting product to adopt well-being trend is in preliminary level and aims to research on the tendency of well-bing trend and lighting design which the consumer of this age is demanding. As the result of changes in modern consumption trend, design is considered to be a factor of capricious cultural phenomenon. In addition to this, as high technology such as ubiquitous develops with the degitalisation and informatization, the consumer are paying attention to dynamic products rather than static products or products which respond to external stimulus. Products which adopt well-being trend pursuing nature friendly life are particularly preferred It means that not only the basic function of products but also design which satisfy the five sense is required. Modern consumers use products in various way. However, the pro-environmental and human-centered tendency is tried only in very limited area and general study on this matter is extremely rare. This study analyzes the factors which intercepts the adoption of well-being trend to lighting products and seeks for an alternative to solve the problem. Interaction design with well-being trend was adopted to lighting design and the result presented that there is a possibility to differentiate existing lighting design by adding interaction design to the existing lighting design. Therefore, the need for further study on this matter is presented.

• Informatization Policy
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• v.28 no.4
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• pp.76-92
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• 2021

The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.127-136
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• 2023

Gyeonggi Province has established a bus information system to provide real-time bus arrival information, aiming to make bus usage convenient for its residents. While the Gyeonggi bus information system is becoming more advanced through the application of IT technology, there are still information-vulnerable groups finding it difficult to use. In particular, the elderly have a low level of digital information literacy and habe difficulty using it. In this regard, this study aims to address the information usage disparity among the elderly in public transportation by utilizing expert in-depth survey methodology known as the Delphi technique. The study classified the policy initiatives that Gyeonggi Province should undertake into three categories: user education and expanded promotion, technological development and dissemination, and providing convenient usage environment. Through two rounds of surveys, the study assessed the priority of ten specific sub-tasks within these categories. Additionally, it gathered opinions on the effectiveness and feasibility of each item. The results yielded prioritization and evaluation of effectiveness and feasibility for nine sub-tasks. Based on these outcomes, the study proposed future projects that Gyeonggi Province should implement to address the information disparity among the elderly, offering a comprehensive approach to bridge the gap.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.82-98
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• 2019

The importance of spatial information is rapidly rising. In particular, 3D spatial information construction and modeling for Real World Objects, such as smart cities and digital twins, has become an important core technology. The constructed 3D spatial information is used in various fields such as land management, landscape analysis, environment and welfare service. Three-dimensional modeling with image has the hig visibility and reality of objects by generating texturing. However, some texturing might have occlusion area inevitably generated due to physical deposits such as roadside trees, adjacent objects, vehicles, banners, etc. at the time of acquiring image Such occlusion area is a major cause of the deterioration of reality and accuracy of the constructed 3D modeling. Various studies have been conducted to solve the occlusion area. Recently the researches of deep learning algorithm have been conducted for detecting and resolving the occlusion area. For deep learning algorithm, sufficient training data is required, and the collected training data quality directly affects the performance and the result of the deep learning. Therefore, this study analyzed the ability of detecting the occlusion area of the image using various image quality to verify the performance and the result of deep learning according to the quality of the learning data. An image containing an object that causes occlusion is generated for each artificial and quantified image quality and applied to the implemented deep learning algorithm. The study found that the image quality for adjusting brightness was lower at 0.56 detection ratio for brighter images and that the image quality for pixel size and artificial noise control decreased rapidly from images adjusted from the main image to the middle level. In the F-measure performance evaluation method, the change in noise-controlled image resolution was the highest at 0.53 points. The ability to detect occlusion zones by image quality will be used as a valuable criterion for actual application of deep learning in the future. In the acquiring image, it is expected to contribute a lot to the practical application of deep learning by providing a certain level of image acquisition.

• Informatization Policy
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• v.30 no.2
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• pp.22-45
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• 2023

In research on the use of AI-based voice assistant services, problems related to the user's trust and privacy protection arising from the experience of service use are constantly being raised. The purpose of this study was to investigate empirically the effects of individual trust in AI and online privacy concerns on the continued use of AI-based voice assistants, specifically the impact of their interaction. In this study, question items were constructed based on previous studies, with an online survey conducted among 405 respondents. The effect of the user's trust in AI and privacy concerns on the adoption and continuous use intention of AI-based voice assistant services was analyzed using the Heckman selection model. As the main findings of the study, first, AI-based voice assistant service usage behavior was positively influenced by factors that promote technology acceptance, such as perceived usefulness, perceived ease of use, and social influence. Second, trust in AI had no statistically significant effect on AI-based voice assistant service usage behavior but had a positive effect on continuous use intention. Third, the privacy concern level was confirmed to have the effect of suppressing continuous use intention through interaction with trust in AI. These research results suggest the need to strengthen user experience through user opinion collection and action to improve trust in technology and alleviate users' concerns about privacy as governance for realizing digital government. When introducing artificial intelligence-based policy services, it is necessary to disclose transparently the scope of application of artificial intelligence technology through a public deliberation process, and the development of a system that can track and evaluate privacy issues ex-post and an algorithm that considers privacy protection is required.