• Korean Security Journal
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• no.4
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• pp.119-136
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• 2001

A mission of the police as described by law is to guard the life, body and property of all citizens. Such duties should be accurately performed based on legal and democratic procedures because the works of the police are directively influencing the overall lives of the citizens by restricting their freedom. The national police agency is setting up the figure of the police trusted and beloved by citizens. The strategies of police reform is to recognize the proposition of 'change the mind and you will see the bright future' and the historical mission of 'It is possible to survive only through the reform'. We are frequently watching the traffic police on the street or road. Traffic policing aims to reduce crime and the opportunities for criminal activity in relation to the use of roads, that is to improve road user behavior in order to reduce accidents. This study examines perceptions of drivers on the traffic police. For this purpose, this study surveys the opinion and view of drivers in Andong city based on the survey research and interview methods. The major findings of this study is as follows. Many drivers in Andong city evaluate negatively the kindness toward civilians, fair(rational) law enforcement of traffic police. So, this study suggests the improvement of the traffic police image.(for example, kindness toward civilians, service attitude, fair and rational law enforcement, etc)

• Journal of Information Technology Services
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• v.19 no.5
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• pp.65-81
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• 2020

This study aims to examine the effects of users' perceptions of COVID-19 risk on their seeking and processing of relevant information as COVID-19 emerges and spreads worldwide in 2019. We apply the risk information seeking and processing model (RISP Model) to verify whether users' COVID-19 related information seeking and processing behaviors have a positive effect on their preventive and information sharing behaviors. To achieve this research goal, an online survey was conducted with about 400 of social media users. The users' perceptions of risk for COVID-19 increased their perceived insufficiency of COVID-19 information. In addition, the perceived insufficiency of users' information formed a positive relationship with seeking and searching of information behaviors. The processing of COVID-19 related information has increased related preventive behaviors and sharing of information through social media. While searching for information related to COVID-19 prompted personal information sharing behaviors, it did not significantly affect preventive behaviors. Accordingly, in order to promote COVID-19 preventive behaviors as well as overall user health-related behaviors it can be inferred that additional measures are needed in addition to pursuing relevant information.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.17-27
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• 2014

This research extends the research stream of technostress by incorporating age and gender as moderators of user perceptions in the workplace. Individual reactions toward technostress were studied throughout the past decade. However, changing demographic patterns have led to an increasingly older workforce. Gender effects in individual reactions toward technological stress differ based on age. Specifically, gender differences in technology perceptions became more pronounced among older workers, but a unisex pattern of results emerged among younger workers. The results from this study suggest that the factors of technostress is changed by gender and age. In light of these findings, theoretical and practical implications for researchers and practitioners are discussed.

• Journal of Technologic Dentistry
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• v.41 no.2
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• pp.137-146
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• 2019

Purpose: This research was to examine some 4-year dental technology students perceptions of field learning environment(FLE). Methods: This study was conducted from October 15th to November 30th, 2017. 163 copies were used as the final analysis data. We surveyed questionnaire 163 of some 4-year dental technology students. The collected data were analyzed using SPSS (Statistical Package for Social Science) 22.0 for windows, and frequency analysis, chi-square test analysis, and correlation analysis were performed. Results: Satisfaction of practicing educator 3.88, satisfaction of clinical practice 3.49, major satisfaction 3.34, and university life satisfaction 3.25. Factors influencing satisfaction with clinical practice were clinical practice place, number of clinical practice sites, work done in clinical practice, and difficulties (p < .05). There was a significant positive correlation between satisfaction with clinical practice and satisfaction with major (P < .05). Conclusion: The results of this study, we were able to check the current field learning environment(FLE) and actual condition of students. Through the investigation of the desired clinical practice, it is anticipated that it will be possible to provide a field learning environment suitable for the course of the field desired by the user.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.923-949
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• 2020

Improving work efficiency and satisfying customers through personalized services is becoming more important in an increasingly competitive hair industry. Wearables may help to improve hair designers' work efficiency and customer satisfaction by analyzing customer and hair designers' conditions and provide hair stylingrelated data. However, there is limited research on developing wearables for hair designers (WHDs), and many existing wearables were developed without understanding user needs and perceptions. This research investigated preferences, perceptions, and intentions on WHDs based on hair designers in the U.S., which is the largest hair market. Specific design options that hair designers preferred and possible options to meet requirements that hair designers expect for wearables were identified and suggested in WHD design guidelines. Second, most people preferred a WHD design of a black-colored bracelet/watch that can be a necklace designed with preferred functions; in addition, 3D virtual images and 3D printed models were prototyped. Third, developed designs were evaluated. More than 70% of users were satisfied and considered it as useful and easy to use, with an intention to purchase. The results are expected to provide insights to designers when developing WHDs.

• Journal of Information Technology Applications and Management
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• v.30 no.4
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• pp.29-38
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• 2023

A single-learner model which integrates the user's positive and negative perceptions is proposed by augmenting counterfactual data to the interaction data between users and items, which are mainly used in collaborative filtering in this study. The proposed CausRec showed superior performance compared to the existing NCF model in terms of F1 value and AUC in experiments using three published datasets: MovieLens 100K, Amazon Gift Card, and Amazon Magazine. Compared to the existing NCF model, the F1 and AUC values of CausRec showed 1.2% and 2.6% performance improvement in MovieLens 100K data, and 2.2% and 10% improvement in Amazon Gift Card data, respectively. In particular, in experiments using Amazon Magazine data, F1 and AUC values were improved by 11.7% and 21.9%, respectively, showing a significant performance improvement effect. The performance of CausRec is improved because both positive and negative perceptions of the item were reflected in the recommendation at the same time. It is judged that the proposed method was able to improve the performance of the collaborative filtering because it can simultaneously alleviate the sparsity and imbalance problems of the interaction data.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.2
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• pp.81-96
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• 2010

This study aimed to suggest metadata elements for online reference resource systems based on users' perceptions. We surveyed librarians in four types of libraries, asking them indicate the need for each of 17 metadata elements. The survey results were compared to the current data input rates of the system, which has been operating for the past two years. Based on both the respondent data and current data input rates, we suggested that title, description, subject, creator, type, identifier, language, coverage, location, and tag elements must be included in the system as the metadata elements for online reference resources. n addition, the input rates of creator and copyright were 20.20% and 18.30%, respectively, but the respondents answered that these items were needed 82.15% and 82.77%, respectively. Therefore, these two items are necessary as metadata elements. On the other hand, the data input rates of type, source, date, relation, and contribution were less than 3%, but almost 70% of respondents answered that all these items were needed. So further research should be performed to determine whether or not these items are needed for online reference resource systems.

• Journal of Service Research and Studies
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• v.7 no.4
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• pp.51-68
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• 2017

Financial technology (FinTech) is an emerging financial service sector include innovations in financial literacy and investment, retail banking, education, and crypto-currencies like bitcoin. One of the crucial branch of financial technology-third-party payment (TPP) is undergoing rapid growth, with online/mobile systems replacing offline financial systems. System quality and user attitudes are key perceptions driving third-party payment usage, the importance of these perceptions, however, may be different with countries as users' thinking varies from country to country. Thus, the purpose of this study is to elaborate how factors differ from China to Korea by drawing on the unified theory of acceptance and use of technology (UTAUT2). Additionally, this study also aims to propose a multi-attribute evaluation of the third-party online payment system based on analytic hierarchy process (AHP), fuzzy sets and technique for order performance by similarity to ideal solution (TOPSIS), to examine the relative importance of the perceptions influencing new technology adoption intention. The results showed that the price value has the most significant influence on Chinese perceptions, while the perceived credibility has the most significant effect on Korean perceptions. Sub-criteria also performs different results to Chinese and Korean third-party online payment system.

• Korean Journal of Radiology
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• v.24 no.5
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• pp.454-464
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• 2023

Objective: We aimed to investigate current expectations and clinical adoption of artificial intelligence (AI) software among neuroradiologists in Korea. Materials and Methods: In April 2022, a 30-item online survey was conducted by neuroradiologists from the Korean Society of Neuroradiology (KSNR) to assess current user experiences, perceptions, attitudes, and future expectations regarding AI for neuro-applications. Respondents with experience in AI software were further investigated in terms of the number and type of software used, period of use, clinical usefulness, and future scope. Results were compared between respondents with and without experience with AI software through multivariable logistic regression and mediation analyses. Results: The survey was completed by 73 respondents, accounting for 21.9% (73/334) of the KSNR members; 72.6% (53/73) were familiar with AI and 58.9% (43/73) had used AI software, with approximately 86% (37/43) using 1-3 AI software programs and 51.2% (22/43) having up to one year of experience with AI software. Among AI software types, brain volumetry software was the most common (62.8% [27/43]). Although 52.1% (38/73) assumed that AI is currently useful in practice, 86.3% (63/73) expected it to be useful for clinical practice within 10 years. The main expected benefits were reducing the time spent on repetitive tasks (91.8% [67/73]) and improving reading accuracy and reducing errors (72.6% [53/73]). Those who experienced AI software were more familiar with AI (adjusted odds ratio, 7.1 [95% confidence interval, 1.81-27.81]; P = 0.005). More than half of the respondents with AI software experience (55.8% [24/43]) agreed that AI should be included in training curriculums, while almost all (95.3% [41/43]) believed that radiologists should coordinate to improve its performance. Conclusion: A majority of respondents experienced AI software and showed a proactive attitude toward adopting AI in clinical practice, suggesting that AI should be incorporated into training and active participation in AI development should be encouraged.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.153-169
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• 2020

A new way of shopping based on virtual assistant, so called voice shopping, is drawing attention. The voice shopping market is growing around the world, and Korea is on the verge of full-scale commercialization of this new shopping. For the development of voice shopping-related industries, it is necessary to research on specific issues related to this new shopping methods, such as the quality of services, efficient processes tailored to new ways, and ways to build customer relationships. As part of such an attempt, the study seeks to determine the factors that affect consumers' perception and attitudes toward voice shopping. The study conducted the analysis based on survey response data of 171 online shopping users. In addition to the typical factors of the technology acceptability model(TAM) such as perceived usefulness and ease of use, the impact of perceived playfulness was included for analyzing the intention on the acceptance of voice shopping. In particular, this study focuses on the impact of user attributes. For the spread of voice shopping, it is necessary to set up a valid target customer and understand users for establishing an effective customer relationship. Therefore, this study tries to analyze how the perceptions on the voice shopping(perceived usefulness, ease of use, and perceived playfulness) are affected by users' attributes, such as user innovativeness and user knowledge level. The result of analysis shows that user innovativeness have a positive relationship with all of perceived usefulness, ease of use, and perceived playfulness. The user knowledge base, however, was not significant to all these three variables. The user knowledge base is shown to have a positive effect on user innovativeness which is the source of positively significant factor for the variable of the perceptions on the voice shopping. Meanwhile, among the variables of extended technology acceptance model, perceived usefulness and perceived playfulness have positive effects on the acceptance of voice shopping, while ease of use has no significant impact on the voice shopping acceptance. Ease of use has a positive relationship with perceived usefulness and playfulness. This study is meaningful in providing implications on the development of voice shopping platforms and related services, and establishment of customer relationship.