• Journal of Digital Convergence
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• v.20 no.2
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• pp.455-462
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• 2022

This study was conducted to find ways to utilize human-centered IT in caring for elderly people who live alone. Through focus group interviews with experts, this study investigated the problems with delivery system, and ethical issues. Problems such as lack of trust, supplier-centered care, and uniform service provision were derived as major problems in the delivery system. These findings indicate that IT should be used as an auxiliary means of face-to-face services and to be controllable and convenient. Issues such as "guaranteeing the right to self-determination," "protecting privacy," "sufficiently guaranteeing the right to know," and "encompassing blind spots" were raised as important ethical issues related to human-centered IT utilization. Based on the research results, this study presented the necessity of designing user-centered information technology and the necessity of developing ethical indicators for the use of human-centered technology.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.617-626
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• 2022

With the advent of the autonomous driving era, automobiles are being discussed as an extension of the media. The growth of the in-vehicle infotainment(IVI) system can provide various benefits and values to the driver and passengers. Although the development and research of related technologies is being carried out, there has been no research that specifically identified users' valuation on the main attributes of IVI systems. This study uses conjoint analysis to investigate key attributes and users' preferences. The results indicate that the most important attribute for IVI system is provider, followed by system operation type, main service and content type. For each attribute, consumers prefer a detachable infotainment system provided by a telecommunication company, and prefer to use information-oriented services and content that they have previously consumed. This paper provides practical implications, especially in terms of convergence, that operators can refer to in IVI development.

• Informatization Policy
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• v.29 no.3
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• pp.61-81
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• 2022

This paper explores how the provided information from Enterprise Architecture (EA) affects the activities to for performing IT projects. The IT projects analyzed in this paper are projects to for developing and maintaining Korea Customs' UNI-PASS. This research was conducted based on surveys to demonstrate the effects of the information from EA on activities for IT projects. Information from EA is categorized into propriety, sufficiency and consistency. Activities for IT projects are defined as management, participation, communication, requirement management and human resource. Correlational analysis is used to measure the effects of the inf ormation on the defined activities. The analysis, which verifies the provided information by EA, does not have meaningful correlation with project management nor human resource. For public officials in charge, Sufficiency of the information produces a positive effect on decision making. For operation company, consistency of the information encourages utilization of the resources required for the project. This research suggests that strategies for performing IT projects with EA information that can support the verification of characteristic environments of each project and performance of vital activities required by the participants' roles will ensure the success of government IT projects.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.181-189
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• 2022

The purpose of this study is to investigate the innovation of business model and the effectiveness of the data-driven model. the main concepts and policies related to the data economy are reviewed, and implications are drawn through the analysis of data-based convergence service creation cases. This study identified the existing data-driven business model of the creation of MyData service industry in the financial industry and concept of the data economy. According to the empirical analysis result, this study confirmed that t considering the mobile environment and consumer acceptance of data portability, the ripple effect of the implementation of My Data on the financial industry is expected to be significant.

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.4
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• pp.45-56
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• 2023

Purpose: Recently, Korea has been promoting smart cities that combine artificial intelligence(AI), big data, ICT, and the Internet of Things(IoT), and these technologies are being applied to housing services and are developing into smart housing services. This study try to analyze what is the most necessary and important the AI smart housing services for the housing disadvantaged persons through a survey of experts and the housing disadvantaged persons. And by collecting these necessary and important services, we aim to present elements and directions for the AI smart housing services policy for the housing disadvantaged persons. Methods: Firstly, we asked 11 experts, Secondly, the desire and necessity for the above smart housing service was identified through an online survey targeting the housing disadvantaged persons. Thirdly, the survey was analyzed and reliability was measured through descriptive statistical analysis using SPSS program. Fourthly, based on the results of descriptive statistics analysis, the necessity and importance of AI smart housing services from the perspective of the housing disadvantaged were derived. Results: The results of this study are that firstly, both experts and the housing disadvantaged persons viewed safety and health-related services as the most important and necessary among AI smart housing services, secondly, there is a difference in perspectives on the services that should be priority between experts and people with disabilities, and lastly there are differences in perspectives and needs for services that should be priority between the disabled and the elderly.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.137-152
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• 2023

Data is indispensable for digital transformation of agriculture with the development of innovative information and communication technology (ICT). In order to devise and prioritize strategies for enhancing data competitiveness in the agricultural sector, we employed an Analytic Hierarchy Process (AHP) analysis. Drawing from existing research on data competitiveness indicators, we developed a three-tier decision-making structure reflecting unique characteristics of the agricultural sector such as farmers'awareness of the data industry or awareness of agriculture among data workers. AHP survey was administered to experts from both agricultural and non-agricultural sectors with a high understanding of data. The overall composite importance, derived from the respondents, was rated in the following order: 'Employment Support', 'Data Standardization', 'R&D Support', 'Start-up Ecosystem Support', 'Relaxation of Regulations', 'Legislation', and 'Data Analytics and Utilization Technology'. In the case of experts in the agricultural sector, 'Employment Support' was ranked as the top priorities, and 'Legislation', 'Undergrad and Grad Education', and 'In-house Training' were also regarded as highly important. On the other hand, experts in the non-agricultural sector perceived 'Data Standardization' and 'Relaxation of Regulations' as the top two priorities, and 'Data Center' and 'Open Public Data' were also highly rated.

• Convergence Security Journal
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• v.23 no.5
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• pp.151-156
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• 2023

Currently, ICT is widely used in caring for the elderly living alone and preventing the disappearance of the elderly with dementia. Therefore, in this study, based on the government policy direction for the 4th industrial revolution, the use of AI technology-based care services, which are gradually increasing in community care, was sought to explore the current status and prospects for utilization and activation.AI speakers and caring robots, services that can be used for community care, help solve various problems experienced by the elderly, and are also used to relieve lack of conversation or loneliness by adding emotional functions. In order to activate community care using AI technology in the future: First, there is a need for continuous education to familiarize the elderly with AI devices and 'user experience (UX) design' for the elderly. Second, it is necessary to use human-centered technology that has a complementary relationship and enables emotional mutual relationships rather than using function-oriented technology. Third, it is necessary to solve ethical problems such as guaranteeing the user's right to self-determination and protecting privacy.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.47-54
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• 2024

The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.225-238
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• 2012

This research measured the current working conditions and workers' awareness of their working conditions in both information technology industry and non-information technology industry. Furthermore, the research analyzed the characteristics of pertaining industries and age, sex, and job status of the workers to diagnose the current status of the working conditions and awareness of domestic workers in information technology industry in Korea. The purpose of this research is to provide the necessary data to establish the policy that guides ramifications to the current problems to restore the fame that Korea earned as one of the top information technology countries, and that requires a thorough paired comparison analysis between the information technology industries. The paired comparison analysis indicated that the information technology industries generally have had much worse working conditions than non-information technology industries. This research also verified that information technology industries have scored low on the satisfaction to the average working hours, employee welfare, social perception by other industries, the degree of anxiety, and the growth potential compared to the non information technology industries. Data collected during this research is meaningful in a sense that it provides basic yet crucial information that encourages the policies that are in favor of information technology employees to be adopted. The fact that there is a tacit skepticism in improvement of working conditions among the information technology workers supports the adoption of better policies that will improve not only working conditions but also find the solutions to eliminate the sources of insecurity of the retirement in information technology industry.

• Informatization Policy
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• v.24 no.2
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• pp.43-67
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• 2017

In 2015, Korea won the first place among 30 countries in Open, Useful, and Reusable (OUR) Data Index, which is an OECD's open government data indicator. On the other hand, Korea was ranked the 17th among 86 countries in Open Data Barometer (ODB) of World Wide Web Foundation. In this study, the research subject comes from two reasonable academic doubts on why the gap is wide between the two indicators of Korea and whether the OUR Data Index made proper evaluation on Korea's open government data. Based on the assumption that there may be some critical points in the measuring method of OUR Data Index, the study conducted a comparison of the two indicators. The result found that first, the two indicators almost had no correlation to each other; second, OUR Data Index had a more vague evaluation framework as well as less amount of government data for evaluation than ODB; third, while the government support takes a significant share in the OUR Data Index, it is considered as a mere input element; and fourth, the OUR Data Index does not evaluate the impact of open government data, whereas ODB includes the impact of open data on the government, economy, and society.