• Title/Summary/Keyword: ABATA

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A Study of the Influence of Consumer's Decision Making Process in Internet Shopping of Clothing Product Using Virtual Reality(Web3D) (가상현실(웹3D)을 이용한 인터넷 의류제품 쇼핑몰이 소비자 구매의사결정단계에 미치는 영향에 관한 연구)

  • Sung, Jung-Hwan;Sung, Hee-Won
    • Archives of design research
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    • v.17 no.4
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    • pp.289-298
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    • 2004
  • The development of the Internet has influenced consumers' information search process and purchase behaviors. The environmental changes and consumers' lifestyle changes have stimulated them to use the Internet shopping mall. However, people used to shop the low-involvement product rather than high-involvement product such as clothing product at the internet shopping mall due to the subjects' perceived risks or product characteristics. The purpose of this study is to examine the differences of consumers' attitudes toward the two types of apparel internet shopping mall. With compared to the existing shopping mall, this study generated Web3D internet shopping mall by designing Abata, representing the user's body figure. The changes of respondents' attitudes toward the internet shopping mall and purchase intentions would provide the possibility and future direction of the Web3D internet shopping. Recommendations and future research were also discussed.

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A Study on the Implementation of Serious Game Learning Multiplication Table using Back Propagation Neural Network on Divided Interconnection Weights Table (분할 가중치 테이블 역전파 신경망을 이용한 구구단 학습 기능성 게임 제작에 관한 연구)

  • Lee, Kyong-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.233-240
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    • 2009
  • In this paper we made the serious game learning multiplication table to be evolved. The serious game is to induce the interest of the learner. This program has an interaction form which reflects the intention of the user and using this program a learner to learn the multiplication table as teacher's location are training a program that are seen as the abata and came to be that learner is smart. A study ability to be evolved used an back propagation neural networks. But we improved a study speed using divided weight table concept. The engine is studied perfectly in 60~80 times training. The learning rate increase to various non-monotonic functional form not to do a mechanical rise. And the learning rate is similar with the study ability of the human.