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Information Visualization Design of Nuclear Power Control System Based on Attention Capture Mechanism

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HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12425))

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Abstract

This paper takes information features of the main control room display of nuclear power plant for analysis, in which the design factors are extracted base on the monitoring interface task and visual cognitive law. With respect to the visual design method of interface presentation, we explore the design of the information display system of boron and water supply system. We determine the important information elements that can be improved in monitoring behavior, and optimize them according to their characteristic attributes. We group interface information according to task relevance, and design the color coding of the group information according to the structure of visual perception and the characteristics of color perception level. The information color between different levels could be adjusted according to readability and importance. The results of experiments verify the validity of the color coding method based on attention capture. According to the results, a visual design model of nuclear power control system information is established based on the research from the local interface icon to the overall presentation. This method can provide reference for the design of control system interface of nuclear power plant, and even improve the cognitive performance of operators and the safety and reliability of power plant operation.

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Acknowledgement

This work was supported by Jiangsu Province Nature Science Foundation of China (BK20181159), Key Research and Development (Social Development) Project of Jiangsu Province (BE2019647), Jiangsu Province Key Project of philosophy and the social sciences (2017ZDIXM023), and the National Nature Science Foundation of China (Grant No. 71601068).

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Authors and Affiliations

  1. School of Design Art & Medial, Nanjing University of Science & Technology, Nanjing, China

    Xiaoli Wu

  2. College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China

    Xiaoli Wu & Panpan Xu

  3. Lab of Human Factors and Information System Interaction & Design, Hohai University, Changzhou, China

    Xiaoli Wu & Panpan Xu

Authors
  1. Xiaoli Wu
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  2. Panpan Xu
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Corresponding author

Correspondence to Xiaoli Wu .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Greece

    Constantine Stephanidis

  2. Coventry University, Coventry, UK

    Don Harris

  3. Cranfield University, Cranfield, UK

    Wen-Chin Li

  4. Soar Technology Inc., Orlando, FL, USA

    Dylan D. Schmorrow

  5. Design Interactive, Inc., Orlando, FL, USA

    Cali M. Fidopiastis

  6. Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  7. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  8. DePaul University, Chicago, IL, USA

    Xiaowen Fang

  9. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  10. Fraunhofer FKIE, Wachtberg, Germany

    Jessica Schwarz

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Wu, X., Xu, P. (2020). Information Visualization Design of Nuclear Power Control System Based on Attention Capture Mechanism. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games. HCII 2020. Lecture Notes in Computer Science(), vol 12425. Springer, Cham. https://doi.org/10.1007/978-3-030-60128-7_11

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  • DOI: https://doi.org/10.1007/978-3-030-60128-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60127-0

  • Online ISBN: 978-3-030-60128-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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