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Research on Computational Simulation of Advertising Posters Visual Cognition

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Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing (HCII 2020)

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Abstract

Vision, as the main channel for humans to obtain external information, has always been a hot area of research. Especially under the current heat of research on artificial intelligence, a large amount of research has been focused on intersecting research results in psychology and neuroscience with computer science to improve simulation capabilities of computers systems. This article briefly reviews the research progress in human visual cognition processes and their simulation methods in the fields of psychology, neuro-science, and computer science. In addition, eye movement experiments were carried out and models were built based on human cognitive processes to explore the influence of factors such as prior knowledge and emotional experience on model accuracy. Furthermore, the limitations and application prospects of the model were discussed.

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Authors and Affiliations

  1. School of Design, Shanghai Jiao Tong University, Shanghai, China

    Xueni Cao, Ying Fang, Liyu Zhu & Liqun Zhang

  2. China National Gold Group Gold Jewellery Co., Ltd., Beijing, China

    Xiaodong Li

Authors
  1. Xueni Cao
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  2. Ying Fang
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  3. Liyu Zhu
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  4. Xiaodong Li
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  5. Liqun Zhang
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Corresponding authors

Correspondence to Xiaodong Li or Liqun Zhang .

Editor information

Editors and Affiliations

  1. Towson University, Towson, MD, USA

    Gabriele Meiselwitz

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Cao, X., Fang, Y., Zhu, L., Li, X., Zhang, L. (2020). Research on Computational Simulation of Advertising Posters Visual Cognition. In: Meiselwitz, G. (eds) Social Computing and Social Media. Participation, User Experience, Consumer Experience, and Applications of Social Computing. HCII 2020. Lecture Notes in Computer Science(), vol 12195. Springer, Cham. https://doi.org/10.1007/978-3-030-49576-3_22

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  • DOI: https://doi.org/10.1007/978-3-030-49576-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49575-6

  • Online ISBN: 978-3-030-49576-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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