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Study on Eye Movement Behavior of Interface Complexity

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Human Systems Engineering and Design II (IHSED 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1026))

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Abstract

Eye movement tracking technology is widely used in user research and user experience testing. In order to further study the feasibility of using the first gaze time to evaluate the interface complexity, this paper designed experiments to explore the relationship between the first gaze time and the interface complexity. In this study, interfaces with three levels of complexity were designed, and an appropriate number of users were selected to carry out visual search tasks, and the rule of the first fixation duration changing with the interface complexity was analyzed. The results show that the complexity of the interface is negatively correlated with the duration of the first gaze, which can be used to evaluate the complexity of the interface.

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Acknowledgments

This study was supports with the Grant No. 41412040304 and No. 6141B03020602.

Author information

Authors and Affiliations

  1. China Institute of Marine Technology and Economy, No. 70, XueYuan South Road, HaiDian District, Beijing, 100081, China

    Kaili Yin, Yingwei Zhou, Ning Li & Jinshou Shi

Authors
  1. Kaili Yin
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  2. Yingwei Zhou
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  3. Ning Li
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  4. Ziang Chen
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  5. Jinshou Shi
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Corresponding author

Correspondence to Kaili Yin .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Department of Computer Science, Universität der Bundeswehr München, Neubiberg, Germany

    Stefan Pickl

  4. Université de Reims Champagne Ardenne, Reims Cedex 2, France

    Redha Taiar

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Yin, K., Zhou, Y., Li, N., Chen, Z., Shi, J. (2020). Study on Eye Movement Behavior of Interface Complexity. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_160

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