• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.4
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• pp.598-609
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• 2014

The increased use of online shopping by older consumers means that online retailers need to consider older consumers when designing websites. We investigated the specific characteristics of commercial websites (i.e., perceptual fluency) through an online experiment. Guided by perceptual fluency and affect optimization literature, hypotheses highlighting older consumers' responses to websites were proposed and tested. Results confirmed that older consumers (in their 50s) are more generous in evaluating online retailers' websites than younger consumers (in their 20s) and that responses to websites are dependent on perceptual fluency. The findings are consistent with previous research and provide additional support for theories that deal with an online apparel shopping context. Practical implications and limitations are discussed.

• The Research Journal of the Costume Culture
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• v.16 no.4
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• pp.696-708
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• 2008

The purpose of this study was to examine the relationship among Shopping Orientation, Shopping-mall characteristics, Consumer Satisfaction, and Loyalty in online market. Data were collected from 405 adult women and analyzed by factor analysis, cluster analysis, ANOVA and Duncan test using by SPSS 12.0. The results showed that recreation shoppers to buy the cosmetics in online market, were more likely to perceive the shopping mall characteristics, information, check-out convenience, and product price of shopping mall than the other shoppers. Both brand oriented shoppers and economic oriented shoppers were more likely to perceive information offered at newsletters and e-mail of Internet shopping mall. Additionally, the more active shoppers were the more satisfied and the greater loyalty at online shopping mall of cosmetics. Implications are drawn for the information useful marketer and retailers of the online shopping mall of cosmetics.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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• pp.77-83
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• 2016

This study aims to examine the effects of communication, mindfulness, and self-efficacy on the performance of online collaboration. The survey method was used for this study, and data from a total of 80 university students 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, communication and mindfulness have positive effect on self-efficacy. Second, communication do not have a direct effect on online collaboration performance but self-efficacy mediates the communication effect. Third, mindfulness do not have a direct effect on online collaboration performance but self-efficacy mediates the mindfulness effect. In this study, we suggested the importance of self-efficacy in building the performance of online collaboration.

• Journal of Information Processing Systems
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• v.11 no.3
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• pp.325-341
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• 2015

This paper describes the Tezpur University dataset of online handwritten Assamese characters. The online data acquisition process involves the capturing of data as the text is written on a digitizer with an electronic pen. A sensor picks up the pen-tip movements, as well as pen-up/pen-down switching. The dataset contains 8,235 isolated online handwritten Assamese characters. Preliminary results on the classification of online handwritten Assamese characters using the above dataset are presented in this paper. The use of the support vector machine classifier and the classification accuracy for three different feature vectors are explored in our research.

• Educational Technology International
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• v.24 no.1
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• pp.53-80
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• 2023

This study investigates faculty support for quality assurance in online education, and offers suggestions for its improvement based on feedback from Instructional Design (ID) staff working at a public university in the U.S. Qualitative research using semi-structured interviews was conducted with seven ID staff in order to examine their perceptions regarding faculty support related to quality assurance in online education. The results of the data analysis indicate that four types of faculty support-quality assurance reviews using Quality Matter (QM) standards, templates, individual consultations with ongoing support, and monitoring-were offered for faculty. Faculty support for quality assurance in online education could be improved by developing specific quality assurance standards, recruiting external experts, examining learning effects, developing a quality assurance management system, and sharing documents among ID staff. This study highlights the necessity of quality assurance in online education and provides cases of faculty support in a real higher education setting.

• Asia pacific journal of information systems
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• v.28 no.4
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• pp.274-289
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• 2018

We examined the effects of socio-demographics and personality traits on online privacy concern. We investigated this relationship in general and across different Internet functions. Using a large, diverse, population-representative sample (N = 5,242), we found that females, educated, and wealthier individuals tend to be concerned with online privacy to a greater extent. Among personality traits, agreeableness and conscientiousness were generally associated with an increased probability of being concerned with online privacy. These results imply that socio-demographics and personality traits provide explanatory insights into online privacy concern.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.389-395
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• 2022

This quantitative study explored the extent to which convenience enhances professional development (PD) online. The sample of the study consisted of 421 teachers and supervisors. Findings evinced that convenience stimulated online PD. Another salient finding is the absence of significant differences among participants' responses concerning position and gender. Nonetheless, a significant difference exists in the variable of teaching experience. Teachers with more than 26-year experience were motivated to use online PD, which evidently could be attributed to the convenience they had over teachers with fewer years of experience.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.178-183
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• 2009

Online image dictionary has become more and more popular in concepts cognition. However, for existing online systems, only very few images are manually picked to demonstrate the concepts. Currently, there is very little research found on automatically choosing large scale online images with the help of semantic analysis. In this paper, we propose a novel framework to utilize community-generated online multimedia content to visually illustrate certain concepts. Our proposed framework adapts various techniques, including the correlation analysis, semantic and visual clustering to produce sets of high quality, precise, diverse and representative images to visually translate a given concept. To make the best use of our results, a user interface is deployed, which displays the representative images according the latent semantic coherence. The objective and subjective evaluations show the feasibility and effectiveness of our approach.

• Journal of Korea Multimedia Society
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• v.24 no.6
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• pp.760-767
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• 2021

The identity verification is one of the most important technologies in online services. Many services in society are provided online, and the service is provided after confirming the user's identity. Users can do a lot of things online, but they also have side effects. Online digital information is easily manipulated and it is difficult to verify its authenticity, causing social confusion. Accordingly, there has been a movement for individuals to directly manage their identity information using DID. In this paper, we propose a system that can authenticate identity by directly adding own personal information and issuing an identifier using DID technology based on a private blockchain. Then, to verify the proposed system, the scenario is executed and verified.

• English Language & Literature Teaching
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• v.12 no.2
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• pp.87-105
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• 2006

Style is considered a pivotal construct in sociolinguistic variation studies. While previous studies have examined style in traditional forms of language such as speech, very little research has examined new and emerging styles such as computer-mediated discourse. Thus, the present study attempts to investigate style in the online communication mode of chat. In so doing, the study compares text-based online chat with speech and writing. Online chat has been previously described as a hybrid form of language that is close to speech. Here, the exact nature of online chat is elucidated by focusing on contraction use. Differential acquisition of stylistic variation is also examined according to English learning background. The empirical component consists of data from Korean speakers of English. Data is taken from a written summary, an oral interview, and a text-based online chat session. A multivariate analysis was conducted. Results indicate that online chat is indeed a hybrid form that is difficult to delineate from speech and writing. Text-based online chat shows a somewhat similar rate of contraction to speech, which confirms its hybridity.. Lastly, some implications of the study are given in terms of the learning and acquisition of style in general and in online contextual modes.