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To Discover Novice Expert Paradigm: Sequence-Based Time-Domain and Graph-Based Frequency-Domain Analysis Method of Eye Movement

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HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13516))

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Abstract

Eye movement data can show the cognitive process in performing tasks to a certain extent. The existing researches on eye movement analysis are usually based on statistics, and it is difficult to show the correlation between the information associated with the scene. Other probabilistic algorithms usually focus on user feature recognition based on eye movement representation. In this paper, the concept of time-domain and frequency-domain analysis of eye movement area of interest is proposed, within which, the frequent pattern mining method and visual cognitive graph model are constructed to mine the relationship between the areas of interest. Finally, some application examples of this model in the novice expert paradigm are presented.

Supported by the Key Research and Development Program of Shaanxi 2020SF-152, and Educational reform research project 2022JGY10.

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Authors and Affiliations

  1. School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China

    Dian Jin & Weiwei Yu

  2. Avionics Research Institute, Chinese Flight Test Establishment, Xi’an, 710089, China

    Xinliang Yang, Haiyang Wang & Ran Peng

Authors
  1. Dian Jin
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  2. Weiwei Yu
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  3. Xinliang Yang
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  4. Haiyang Wang
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  5. Ran Peng
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Corresponding author

Correspondence to Weiwei Yu .

Editor information

Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Tokyo University of Science, Tokyo, Saitama, Japan

    Sakae Yamamoto

  3. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  4. Southern University of Science and Technology, Shenzhen, China

    Marcelo M. Soares

  5. World Usability Day and Bubble Mountain Consulting, Newton Center, MA, USA

    Elizabeth Rosenzweig

  6. Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  7. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

  8. Coventry University, Coventry, UK

    Don Harris

  9. Cranfield University, Cranfield, UK

    Wen-Chin Li

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Jin, D., Yu, W., Yang, X., Wang, H., Peng, R. (2022). To Discover Novice Expert Paradigm: Sequence-Based Time-Domain and Graph-Based Frequency-Domain Analysis Method of Eye Movement. In: Kurosu, M., et al. HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction. HCII 2022. Lecture Notes in Computer Science, vol 13516. Springer, Cham. https://doi.org/10.1007/978-3-031-17615-9_17

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  • DOI: https://doi.org/10.1007/978-3-031-17615-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17614-2

  • Online ISBN: 978-3-031-17615-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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