• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.512-520
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• 2019

This study is to investigate the compulsive use of the social media platform, YouTube. For this purpose, this study built a research model that considered how the personality trait perspective(agreeableness, conscientiousness, neuroticism, extraversion, openness) and the use motivation perspective(utilitarian, hedonic and social use motivations) work together to explain compulsive use of YouTube. The survey method was used for this paper, and data from a total of 165 were used for the analysis. And structural equation model was used to analyze the data. The results of this empirical study is summarized as followings. First, both agreeableness and conscientiousness have a negative effect on compulsive use of YouTube. Second, utilitarian use motivation has a negative effect on compulsive use of YouTube. The results of this study are meaningful in that it not only alerts YouTube users to the risks of compulsive YouTube use, but also helps them to develop self-management strategies.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.8
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• pp.19-27
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• 2018

In this study, annual site and primary energy use intensities (EUIs) and $CO_2$ emission intensities (CEIs) per area by end use were estimated based on the measurement data from June 2016 to May 2017 of 19 sample office buildings in Seoul. In addition, the estimated site EUIs by end use were compared to the U.S. Commercial Buildings Energy Consumption Survey (CBECS) 2012 data. Average site EUIs by end use were found to be in the order of electric appliance (typical floors) > heating > cooling > lighting > air movement > domestic hot water > vertical transportation > city water supply. In the case of primary EUIs and CEIs by end use, electric appliance was found to be the largest. As results of comparison with the CBECS 2012 data, it was found that the site EUIs were similar for heating, cooling, domestic hot water, and electric appliance, etc., but slightly different for lighting and air movement. The number of sample office buildings will continue to increase until 2020 (total number of samples 85) and intensities data by end use will be continuously updated through continuous collection of measurement data.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.933-940
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• 2020

Land-use change matrix data is important for calculating the LULUCF (land use, land use change and forestry) sector of the national greenhouse gas inventory. In this study, land cover changes in 2004 and 2019 were compared using the Wall-to-Wall technique with a land cover map of Sejong City from the Ministry of Environment. Sejong City was classified into six land use classes according to the Intergovernmental Panel on Climate Change (IPCC) guidelines: Forest land, crop land, grassland, wetland, settlement and other land. The coordinate system of the land cover maps of 2004 and 2019 were harmonized and the land use was reclassified. The results indicate that during the 15 years from 2004 to 2019 forestlands and croplands decreased from 50.4% (234.2 ㎢) and 34.6% (161.0 ㎢) to 43.4% (201.7 ㎢) and 20.7% (96.2 ㎢), respectively, while Settlement and Other land area increased significantly from 8.9% (41.1 ㎢) and 1.4% (6.9 ㎢) to 35.6% (119.0 ㎢) and 6.5% (30.3 ㎢). 79.㎢ of cropland area (96.2 ㎢) in 2019 was maintained as cropland, and 8.8 ㎢, 1.7 ㎢, 0.5 ㎢, 5.4 ㎢, and 0.4 ㎢ were converted from forestland, grassland, wetland, and settlement, respectively. This research, however, is subject to several limitations. The uncertainty of the land use change matrix when using the wall-to-wall technique depends on the accuracy of the utilized land cover map. Also, the land cover maps have different resolutions and different classification criteria for each production period. Despite these limitations, creating a land use change matrix using the Wall-to-Wall technique with a Land cover map has great advantages of saving time and money.

• The Mathematical Education
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• v.62 no.3
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• pp.401-416
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• 2023

This study systematically examined the influence of preservice teachers' self-efficacy and AI anxiety, on the intention to use AI programs 'knock-knock! mathematics expedition' in mathematics lessons based on a technology acceptance model. The research model was established with variables including self-efficacy, AI anxiety, perceived ease of use, perceived usefulness, and intention of use from 254 pre-service teachers. The structural relationships and direct and indirect effects between these variables were examined through structural equation modeling. The results indicated that self-efficacy significantly affected perceived ease of use, perceived usefulness, and intention to use. In contrast, AI anxiety did not significantly influence perceived ease of use and perceived usefulness. Perceived ease of use significantly affected perceived usefulness and intention to use and perceived usefulness significantly affected intention to use. The findings offer insights and strategies for encouraging the use of 'knock-knock! mathematics expedition' by preservice teachers in mathematics lessons.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.191-199
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• 2023

The purpose of this study is to examine the impact of ChatGpt's quality on users' satisfaction and intention to continuous use it. For this purpose, a survey was conducted targeting college students in the Busan and Gyeongnam regions, and responses from a total of 155 people were verified using the SPSS 28.0 program. As a result of the study, reliability and stability among ChatGPT quality factors were found to have a positive effect on satisfaction with use and intention to continuous use. Satisfaction with the use of ChatGPT was found to have a positive effect on intention to continuous use.. Satisfaction with use was found to have a positive mediating effect between the reliability and stability of ChatGPT quality and intention to continous use it. As a result of this study, we aim to contribute to suggesting educational and policy directions necessary to promote the use of ChatGPT by presenting factors that affect users' intention to continuous use ChatGPT among the qualities of ChatGPT.

• Journal of Fashion Business
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• v.14 no.2
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• pp.166-178
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• 2010

The purposes of this study were to investigate the impacts of interactivity, site stickiness, and switching barrier on intention to use. For this purpose, the study tested covariance structural model which set relationships among independent variable(interactivity), meditated variables(site stickiness and switching barrier), and dependent variable(intention to use). The data were collected from a sample of 239 internet shopper of college female students. The covariance structural model and research hypothesis analyzed by using SPSS 16.0 and AMOS 5.0 program. The results are as follows: First, the structural model is accepted significantly. Second, interactivity had a positive influence on site stickiness, switching barrier, and intention to use. And it was found to have a indirect effect on intention to use through site stickiness and switching barrier. Third, site stickiness had a positive influence on switching barrier. Forth, site stickiness and switching barrier had a positive impact on intention to use.

• English Language & Literature Teaching
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• v.17 no.3
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• pp.177-194
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• 2011

This study examines the use of discourse markers in cross-cultural communication between EFL learners in an e-learning environment. The study analyzes the use of discourse markers in a corpus of an interactive web with a bulletin board system through which college students of English at Japanese and Korean universities interacted with each other discussing the topics of local and global issues. It compares the use of discourse markers in the learners' corpus to that of a native English speakers' corpus. The results indicate that discourse markers are useful interactional devices to structure and organize discourse. EFL learners are found to display more frequent use of referentially and cognitively functional discourse markers and a relatively rare use of other markers. Native speakers are found to use a wider variety of discourse markers for different functions. Suggestions are made for using computer corpora in understanding EFL learners' language difficulties and helping them become more interactionally competent speakers.

• Proceedings of the Korea Association of Information Systems Conference
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• 2004.05a
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• pp.202-213
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• 2004

An effective use of information and communications technology is thought of as critical for achieving corporate competitiveness. This study identifies patterns of corporate use of communications technology, and examines how the use of those technologies is associated with business strategies and the level of information intensity. A survey study on a sample of Korean corporations shows that the use of communications technology is closely related both to business strategy and information intensity, and that communications technologies can be divided into two types in terms of their usage pattern. The structured communication technology is found to be related to the tools and services that support structured tasks, and the The unstructured technology to the tools the use of which is less structured and more flexible. Cost-based strategy is found to be closely related to the use of structured communication technology, while differentiation strategy is closely related to the use of unstructured communication technology.

• Journal of the Korea Society of Computer and Information
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• v.22 no.2
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• pp.9-19
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• 2017

Useful continuous sensing applications are increasingly emerging as a new class of mobile applications. Meanwhile, open, multi-use sensor devices are newly adopted beyond smartphones, and provide huge opportunities to expand potential application categories. In this upcoming environment, uncoordinated use of sensor devices would cause severe imbalance in power consumption of devices, and thus result in early shutdown of some sensing applications depending on power-hungry devices. In this paper, we propose EnergyCordy, a novel inter-device energy use coordination system; with a system-wide holistic view, it coordinates the energy use of concurrent sensing applications over multiple sensor devices. As its key approach, we propose a relaxed sensor association; it decouples the energy use of an application from specific sensor devices leveraging multiple context inference alternatives, allowing flexible energy coordination at runtime. We demonstrated the effectiveness of EnergyCordy by developing multiple example applications over custom-designed wearable senor devices. We show that EnergyCordy effectively coordinates the power usage of concurrent sensing applications over multiple devices and prevent undesired early shutdown of applications.

• Korean Journal of Child Studies
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• v.37 no.5
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• pp.53-64
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• 2016

Objective: This study explored the mediating effects of language development on the influences of young children's media use on positive and negative peer interactions. Methods: The data came from the 2013 Panel Study on Korean Children (N = 1,215) and were analyzed to assess the mediating effects of media use on positive and negative peer interactions, using SEM with the bootstrapping method by means of SPSS 21.0 and AMOS 20.0. Results and Conclusion: The results show that increased media use affects positive and negative peer interactions through language development. This indicates that, while media use does not directly affect positive and negative peer interactions, it appears to increase the difficulty of developing language ability; as the language development worsens, undesirable peer interactions may develop. Thus, language development seems to play an important mediating role between media use and peer interactions. Theoretical and practical implications are discussed.