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Research on the Personalized Interaction Model Driven by User Behavior

  • Conference paper
Intelligent Autonomous Systems 12

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 194))

  • 4184 Accesses

Abstract

An algorithm for extracting emotional drive parameters, as well as a prototype system for avatar which applied in the intelligent teaching based on user’s interaction behavior have been posed, according to the multi-layer fuzzy comprehensive evaluation rule and Weber-Fechner law. It has been proved that the personalized emotional drive model would be beneficial to improve the user’s experience in PAD Dimensions during the process of teaching interaction, by comparing the statistical score of PAD emotional scale in Chinese Express Edition.

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Author information

Authors and Affiliations

  1. School of Information Engineering, University of Science and Technology Beijing, Beijing, China

    Gu Xuejing & Wang Zhiliang

  2. School of Electrical Engineering, Hebei United University, Tangshan, China

    Gu Xuejing & Wang Chuanqi

Authors
  1. Gu Xuejing
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  2. Wang Zhiliang
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  3. Wang Chuanqi
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Corresponding author

Correspondence to Gu Xuejing .

Editor information

Editors and Affiliations

  1. , School of Information and Communication, Sungkyunkwan University, 300 Chunchun-Dong Jangan-Ku, Kyunggi-Do, 440-746, Korea, Republic of (South Korea)

    Sukhan Lee

  2. Science and Technology, Daegu Gyeongbuk Institute of, 50-1, Sang-Ri, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 711-873, Korea, Republic of (South Korea)

    Hyungsuck Cho

  3. Konkuk University, Neungdong-ro, Gwangjin-gu 120, Seoul, 143-701, Korea, Republic of (South Korea)

    Kwang-Joon Yoon

  4. , Department of Electronics Engineering, Pusan National University, Geum Jeong-ku, Pusan, 609-735, Korea, Republic of (South Korea)

    Jangmyung Lee

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© 2013 Springer-Verlag Berlin Heidelberg

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Xuejing, G., Zhiliang, W., Chuanqi, W. (2013). Research on the Personalized Interaction Model Driven by User Behavior. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33932-5_29

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  • DOI: https://doi.org/10.1007/978-3-642-33932-5_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33931-8

  • Online ISBN: 978-3-642-33932-5

  • eBook Packages: EngineeringEngineering (R0)

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