• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.309-317
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• 2020

The purpose of this study was conducted in two stages for university students at K and Y universities in Gyeongsangbuk-do to examine the factors affecting their use intention to use YouTube learning contents due to any of the factors of YouTube learning contents characteristics. Based on the results of the first survey, the measurement items were organized and based on this, second survey was conducted on the use intention of YouTube learning content learners. As a result, it was found that content diversity, content simplicity, content quality, interactivity, and ease of use influenced use intention. Among them, content diversity was found to have the most influence on use intention than others. This study is expected to be used as a basic research data necessary to activate e-learning in the current university and to enhance the learning effect by researching YouTube which is a new learning trend of university students.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.635-648
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• 2004

Extreme programming is the most representative methodology among agile software development methodologies that is agile in business environment which change fast. As software industry is matured, usability of software quality characteristics is emphasized gradually, but effort to obtain usability in extreme programming is insufficient. In this paper, three things lacked in extreme programming are reinforced. First, roles of user interface expert are defined. Second, usability testing method to extreme programming are introduced. Third, development process and products are proposed. The proposed plan is validated by four methods, which analyze supporting software development life cycle, analyze satisfaction of CMM key process areas, analyze satisfaction of CMM practices, and analyze development of green tea shopping mail. Green tea shopping mall is improved 23％ in the estimated running time, 21％ in the learnability. Also, usability is improved 18％ in the heuristic evaluation and 16％ in the questionnaire method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.235-244
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• 2016

Automotive symbols are more widely needed for new, convenient driving devices in automobiles. Good automotive symbols should be detectable, identifiable at first glance, easily learned, recognizable, and produce quick responses after practice. In this paper, a methodology for developing and evaluating automotive symbols is suggested. It includes multiple tests, such as comprehension, perceptual quality, appropriateness, and integrated evaluation. 28 symbols were tested and evaluated by the suggested methodology for convenient driving systems, such as a lane departure warning system (LDWS), cruise control (CCS), and a collision warning system (CWS). Most of the KS R ISO 2575 symbols had higher scores of comprehension, perceptual quality, and appropriateness, but the sunroof and camera symbols had lower scores. Standard symbols with several new functions should be developed. This methodology could be useful for developing and evaluating automotive symbols.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.31-38
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• 2021

This study empirically investigated the user's experience with based on the Technology Acceptance Model. According to the frequency analysis results, the usability for learning was evaluated relatively higher than that for appreciation from the perspective of perceived usefulness and the technical factors such as graphics and modeling raised the issue for the quality improvement. According to the results of the correlation analysis, the usability for learning correlated with the degree of satisfaction. In addition, all detailed factors of perceived ease of use positively influenced on the degree of satisfaction and the impact of the environmental factor on the degree of satisfaction was greatest. The degree of satisfaction with the VR application significantly correlated with the degree of immersion and behavioral intention to the VR application. Therefore, this study proved the suitability for the Technology Acceptance Model as a tool for evaluating a VR application.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.217-223
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• 2016

The purpose of this study is to investigate the predictability of variables among technology easy to use, perceived usefulness, and technostress that had impacts on kindergarten preservice teachers' technology intention to use. For this study, the survey data collected by 64 students who were enrolled in the kindergarten preservice teacher education were analysed by using multiple regression analysis. The results of this study showed as follows. First, technology easy to use significantly affected perceived usefulness. Second, technology easy to use negatively affected technostress. Third, perceived usefulness significantly affected technology intention to use while technostress negatively affected it. From this results, it is revealed that various technology training opportunities would be provided for improving preservice teachers' technology intention to use and lessing preservice teachers' technostress. Furthermore, effective teaching-learning strategies for utilizing technology as an educational media should be developed in the early childhood educational environment.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.171-180
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• 2017

This study was executed to verify the effects of individual and environmental characteristics of secondary-school teachers on teacher efficacy and job satisfaction. To do so, a survey of teacher efficacy and job satisfaction was conducted to 696 man and woman teachers from 55 secondary schools in Gwangju and Jeonnam province, and then the results of the survey were analyzed. In this study, teacher efficacy was composed as four factors: sense of calling, teaching-learning, colleague relation and school organization. And job satisfaction was categorized as three factors: job relation, compensation system and working environment. The Multivariate analysis results showed a significant difference in teacher efficacy and job satisfaction according to teachers' individual characteristics and working environment. Conclusively, teacher efficacy and job satisfaction are complicated factors formed by teachers' individual and environmental characteristics. To improve secondary-school teachers' teacher efficacy and job satisfaction, it is necessary to develop training and education programs reflecting individual and environmental characteristics.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.6
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• pp.774-784
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• 2021

The object detection and recognition process is a very important task in the field of computer vision, and related research is actively being conducted. However, in the actual object recognition process, the recognition accuracy is often degraded due to the resolution mismatch between the training image data and the test image data. To solve this problem, in this paper, we designed and developed an integrated object recognition and super-resolution framework by proposing an image super-resolution technique to improve object recognition accuracy. In detail, 11,231 license plate training images were built by ourselves through web-crawling and artificial-data-generation, and the image super-resolution artificial neural network was trained by defining an objective function to be robust to the image flip. To verify the performance of the proposed algorithm, we experimented with the trained image super-resolution and recognition on 1,999 test images, and it was confirmed that the proposed super-resolution technique has the effect of improving the accuracy of character recognition.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.89-98
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• 2022

Using the extended technology acceptance model, this study aims to quantitatively analyze the user experience with the . In the case of Perceived Usefulness and Perceived Ease of Use, only limited detailed factors have significant impacts on the degree of satisfaction. The degree of satisfaction has positive correlations with the degree of immersion and the variables of Behavioral Intention to Use Metaverse. Although sophisticatedly remediates using digital technology to provide visitors with the sameness of exhibits, exhibition circulation and interaction method, the metaverse exhibition does not acquire the same value of the exhibition. In conclusion, cannot replace , however, it has the potential to offer learning usefulness to visitors with low accessibility to the art museum.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.79-91
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• 2022

In this study, the effects of self-efficacy, perceived usefulness, perceived ease of use, and depression on college students' academic persistence in the COVID-19 epidemic and the resulting non-face-to-face education situation were identified as mediating effects on learning satisfaction. In the second semester of 2020, a survey was conducted on students enrolled in a four-year university in Daegu and the data were statistically analyzed. The path coefficient was estimated by the Smart PLS bootstrap method and the significance of the path coefficient was verified. The Sobel Test was conducted to verify the mediating effect of academic continuity intention as a parameter. The research results can be summarized as follows. First, it was found that self-efficacy and perceived usefulness had a significant influence in the relationship with learning satisfaction. Second, the relationship between learning satisfaction and academic continuity intention was found to have a significant influence. Third, depression and ease of use did not show any significant influence in the relationship between learning satisfaction. Finally, a Sobel Test was conducted to verify the mediating effect of academic continuity intention with self-efficacy, usefulness, ease of use, and depression as independent variables and learning satisfaction as parameters. As a result of both regression analyses, it was found that β values decreased, and learning satisfaction had a mediating effect. As a result of this study, it is suggested that research to increase learner satisfaction and develop various contents to increase the effectiveness of education that can increase self-efficacy and perceived usefulness should be conducted in parallel. I think this study can be used as basic data in establishing measures to continue studying for college students in natural disaster situations or psychological crisis situations called COVID-19.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.4
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• pp.253-263
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• 2021

Concrete structures are damaged by aging and external environmental factors. This type of damage is to appear in the form of cracks, to proceed in the form of spalling. Such concrete damage can act as the main cause of reducing the original design bearing capacity of the structure, and negatively affect the stability of the structure. If such damage continues, it may lead to a safety accident in the future, thus proper repair and reinforcement are required. To this end, an accurate and objective condition inspection of the structure must be performed, and for this inspection, a sensor technology capable of detecting damage area is required. For this reason, we propose a deep learning-based image processing algorithm that can detect spalling. To develop this, 298 spalling images were obtained, of which 253 images were used for training, and the remaining 45 images were used for testing. In addition, an improved loss function and data augmentation technique were applied to improve the detection performance. As a result, the detection performance of concrete spalling showed a mean intersection over union of 80.19%. In conclusion, we developed an algorithm to detect concrete spalling through a deep learning-based image processing technique, with an improved loss function and data augmentation technique. This technology is expected to be utilized for accurate inspection and diagnosis of structures in the future.