• Title/Summary/Keyword: 실재화

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Factors Affecting Users to Adopt Voice Shopping: Empirical evidence from the UTAUT model (인공지능 기반 음성쇼핑(Voice Shopping)의 수용의도에 영향을 미치는 요인 연구: 확장된 통합기술수용모델을 중심으로)

  • Ahn, Suho;Jo, Woong;Chung, Doohee
    • Journal of Technology Innovation
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    • v.27 no.4
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    • pp.111-144
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    • 2019
  • As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.

An Analysis of Factors Influencing the Intention to Use Social Network Services (소셜 네트워크 서비스의 사용의도에 영향을 미치는 요인)

  • Kim, Jongki;Kim, Jinsung
    • Informatization Policy
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    • v.18 no.3
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    • pp.25-49
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    • 2011
  • As a way to gather diverse information required for everyday living, the importance of social networks has been growing. Social network services have been spreading rapidly because of diffusion of the Internet, evolution of social network sites, and recognition of the importance of social networks. Recently, the social network service has been evolved based on a new paradigm, Web 2.0, pursuing participation and openness. Following the adoption of Web 2.0 technologies, the social network service allows users to make and maintain new relationships in a more convenient way. Users of the social network service tend to reveal their personal information, and share their ideas and content with other people; in the process they become aware of their existence, feel satisfaction with life and exert influence to others as a member of the society. This study uses higher order factor analysis to analyze factors that affect the intention of using the social network service. A research model was developed with second-order factors including perceived social presence, perceived gratification and perceived social influence. First-order factors are grouped by technical, individual and social factors. Smart PLS 2.0 was used to conduct empirical analysis. The analysis results supported the validity of the research model.

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Critics on Ludwig Boltzmann's Methodology of Science (루드빅 볼츠만의 과학 방법론에 대한 역사-비판적 검토)

  • Moun, Jean-sou;Lee, Woo-buong
    • Journal of Korean Philosophical Society
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    • v.117
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    • pp.57-84
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    • 2011
  • As for the methodology of physical science, on the one side, Ludwig Boltzmann was declined to Scientific Realist and at the same time Epistemological Idealist. But on the other. He was neither fully nor consistently either one of them, because of rejecting the causal realism of the former and the belief in absolute certainty of the latter. Is there nevertheless any evidence that he had a coherent world view of his own? Yes. In short, he seems to identify his own position with what is called a mind-matter identity theory. In 1897, he supported that psychological processes are identical with certain processes in the brain(realism). And in 1903, he said : "Physics is not separated from psychology. They are only different sides." But Boltzmann did not explain concretely the possibility of this identity. So I tried to construct one theory of identity which is suitable for understanding problems n the physical world, though whether it would work for a full-scale world view which includes both physical and mental phenomena remains problematic. If light phenomena, for example, tend to be measured in terms of some contexts as if light were a wave and in others as if light were a particle, then one may be able to reasonably suppose that light has whatever characteristics in itself which it must have in order to seem like a wave under some conditions of measurement and like a particle in others. If this theory is provisionally to mental phenomena as well, it would mean that reality has those characteristics in itself which it must have to appear as it does to the various faculties of the mind and as it is measured in different physical situations. This is probably not what Boltzmann meant by his theory of identity, since it is very ontological and metaphysical. But in my opinion it is by far the most reasonable identity theory.

The Effects of VR-based Cultural Heritage Experience on Visit Intention (VR 기반 문화유산 체험이 방문의도에 미치는 영향)

  • Yoo, Kun Woo;Hwang, Kyunghwa;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
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    • v.26 no.2
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    • pp.95-122
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    • 2021
  • As it recently became a non-face-to-face society because of the COVID-19 Pandemics, attempts have been made to experience heritage based on virtual reality (VR). Despite the satisfaction of VR contents, however, questions are being raised about whether the VR experience leads to visit a heritage tour or reduces to visit a heritage tour. This study examined how VR-based heritage experiences affect the visit intention of heritage sites. In addition, this study investigated how VR-based experiences differently affect the visit intention compared to web-based experiences. To this end, based on the information success model proposed by DeLone and McLean, this study examined how the perception for system quality and information quality through VR (vs. web) experience affects the intention of visiting the historical site. The results demonstrated that satisfaction was positively influenced by the convenience of system quality and the presence and usefulness of information quality and that the presence and satisfaction positively affected continuance intention. In addition, continuous intention to use positively affected the visit intention of heritage sites. Lastly, it has been shown that the usefulness of information quality in groups experiencing content through the Web (vs. VR) has a greater impact on the intent of continuous use. Based on the results of this study, we discussed ways to organize tourism content to increase the intention of visiting heritage sites.

The Effect of Fashion Shopping Chatbot Characteristics on Service Acceptance Intention -Focusing on Anthropomorphism and Personalization- (패션쇼핑 챗봇 특성이 서비스 수용의도에 미치는 영향 -의인화와 개인화를 중심으로-)

  • Jeong, Seul Gi;Hur, Hee Jin;Choo, Ho Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.4
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    • pp.573-593
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    • 2020
  • This study analyzes consumers' responses toward chatbot services in a fashion retail context. Anthropomorphism and personalization of chatbots are proposed as critical features of a chatbot service that attract positive behavioral intentions from consumers. Social presence, trust, and enjoyment are expected to mediate associations among chatbot characteristics and consumers' acceptance of the service. The experiment was conducted in a controlled laboratory; participants were instructed to engage with a virtual shopping chatbot service via their cell phone and complete a questionnaire online. A total of 189 participants participated in this study along with and four experimental groups of 2 (anthropomorphism: high / low) × 2 (personalization: high / low) were formed with between-subject design. The collected data were analyzed using SPSS 25.0 and SPSS PROCESS Macro programs. The results show that the effect of anthropomorphism and personalization of chatbots on consumers' service acceptance intention when using fashion shopping chatbot service were mediated sequentially by social presence, trust, social presence and enjoyment. This study provides meaningful evidence on the effects of chatbots characterized by anthropomorphism and personalization on consumer responses, acceptance intention and associated psychological mechanisms by expanding the field of consumer behavior into chatbot services.

Scenario Based Operating Satellite Payload Data Analysis Method to Secure Highly Reliable EGSE Early (고신뢰성 지상시험지원장비 조기 확보를 위한 시나리오 기반 위성 탑재체 패킷 분석방법)

  • Lee, Jong-Tae;Lee, Ki-Jun
    • Korean Journal of Remote Sensing
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    • v.33 no.5_1
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    • pp.521-535
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    • 2017
  • Since satellites, including payloads, are limited in how they can respond to problems after launch, the functionality of the satellite should be verified sufficiently by EGSE (Electrical Ground Support Equipment). In addition, considering the trend that the development period of the satellite is shortening and the development of the EGSE must precede the development of the engineering model of electronic equipment, early securing of EGSE is necessary to comply with the development schedule of the entire satellite. In this paper, we propose a method for early securing highly reliable EGSE by devising a scenario based operating payload packet analyzer, which is a part of the EGSE, through functional modularization and external parameterization, and show the result of applying the implemented payload packet analyzer to real satellite program.

Investigation on mathematical instruction involving creative factor in High School (고등학교 수업 실재를 통한 창의 중심의 수학 수업 내실화 가능성 탐구)

  • Hwang, Hye-Jeang;Ko, Ho-Kyoung;Han, Se-Ho
    • Communications of Mathematical Education
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    • v.24 no.3
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    • pp.745-776
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    • 2010
  • In this research, cases of classes for enhancing mathematical creativity are examined in order to explore how to improve methods of math instructions. The objective of the research is to design a creative, efficient math class of superior quality, supplementing the current educational curricula. To this end, features and elements of creative math class are classified into three categories: assignment characteristics, teacher's role, and teaching environment. Based on these, two high school teachers were selected for case study of creative instructions. By observing and analyzing their classes, the research identified main elements of creative classes and their characteristics according to the three categories. The research also explored how to revitalize creative math class by eliciting opinions of researchers and educational experts.

Proposal of Kiosk Payment Security System using Public Blockchain (솔라나 블록체인을 이용한 키오스크 결제 데이터 보안 시스템 제안)

  • Kim, Seong-Heon;Kang, hyeok;Lee, Keun-ho
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.55-61
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    • 2022
  • Today's payment systems are becoming unmanned and changing to a way of paying with kiosks. This has the advantage of convenient payment because consumers can select a menu and specify the number of products to be purchased with just a touch of the screen. However, from the point of view of system security, the actual kiosk system has various vulnerabilities. This can hijack the administrator account, gain system privileges, and perform malicious actions. In addition, it is exposed to a number of security threats, such as the possibility of wasting unnecessary resources by abnormally increasing the number of payments, and causing the device to fail to operate normally. Therefore, in this paper, if any node of a participant in the solana blockchain approves an incorrect fork, the stake of the voting nodes is deleted. Also, since all participants can see the transaction history due to the nature of the block chain, I intend to write a thesis on a system that improves the vulnerability of kiosk payments by separating the access rights through the private blockchain.

A Qualitative Analysis on the Characteristics of "Best Practice" in Mathematics (수학과 좋은 수업 사례에 대한 질적 분석)

  • Lee, Dae-Hyun;Choe, Seung-Hyun
    • Journal of the Korean School Mathematics Society
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    • v.9 no.3
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    • pp.249-263
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    • 2006
  • The purpose of this study is to investigate the characteristics of 'best practire' in mathematics and suggest some solutions to several problems emerging in mathematics classes of secondary schools. The study was carried out by using qualitative research methods such as class observations and in-depth interviews with six teachers. Based on the collected data, we could sort out the major patterns which characterize 'the good mathematics teaching' at schools in Korea. The common characteristics of best practice in mathematics are drawn out from the six cases. The common characteristics include revising the curriculum and text books, realistic mathematics education, using ICT and meta-cognition, introduction with motivation and interest, performance assessment and managing differentiated small group. Results implied that six teachers used a variety of instructional methods and strategies which is related with the common characteristics of good mathematics teaching. Also these teachers not only improved their own classroom practices but also participated in various professional community of mathematics education and shared their practical knowledge. In conclusion assorted efforts from the government and the school principals as well as the teachers are prerequisite for practicing and spreading good mathematics teaching across the classrooms.

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Optimization of Number of Training Documents in Text Categorization (문헌범주화에서 학습문헌수 최적화에 관한 연구)

  • Shim, Kyung
    • Journal of the Korean Society for information Management
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    • v.23 no.4 s.62
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    • pp.277-294
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    • 2006
  • This paper examines a level of categorization performance in a real-life collection of abstract articles in the fields of science and technology, and tests the optimal size of documents per category in a training set using a kNN classifier. The corpus is built by choosing categories that hold more than 2,556 documents first, and then 2,556 documents per category are randomly selected. It is further divided into eight subsets of different size of training documents : each set is randomly selected to build training documents ranging from 20 documents (Tr-20) to 2,000 documents (Tr-2000) per category. The categorization performances of the 8 subsets are compared. The average performance of the eight subsets is 30% in $F_1$ measure which is relatively poor compared to the findings of previous studies. The experimental results suggest that among the eight subsets the Tr-100 appears to be the most optimal size for training a km classifier In addition, the correctness of subject categories assigned to the training sets is probed by manually reclassifying the training sets in order to support the above conclusion by establishing a relation between and the correctness and categorization performance.