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Usability Evaluation of Intelligent Medical Imaging Diagnostic Interface Based on SD Method

  • Lei WuEmail author
  • Lijun Mou
  • Juan Li
  • Yao Su
  • Yue Sun
  • Yekai Wei
  • Huai Cao
  • Sijie Dong
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)

Abstract

At present, image visualization in medical field is mainly realized by observation or image slice. This method relies on doctors’ subjective judgment to a great extent, and lacks accuracy and intuition. This paper evaluates the usability evaluation of intelligent medical imaging diagnostic interface based on the SD method, and analyzes the current intelligent medical imaging diagnostic interface status and user needs. Evaluation of interface by using a 5-point semantic difference (SD) scale. Through experimental analysis, it can be concluded that: (1) among the 7 groups of kansei words, W2 (amateur-professional) has the highest score and the W5 (dark-bright) score is the lowest. (2) among the 8 samples, the S8 score was the highest and the S2 score was the lowest. (3) the operational factor has the greatest impact on the interface experience score.

Keywords

Intelligent medical imaging diagnostic interface Semantic differential method Kansei engineering Usability evaluation 

Notes

Acknowledgments

The research financial supports from the Natural Science Youth Foundation of Hubei Province (Project No: 2017CFB276), Hubei Provincial Teaching Research Project (Project No: 2017055), Hubei Provincial Department of Education Humanities and Social Sciences Project (Project No: 18G002), Program of Introduction of Entrepreneurial Talents in Dongguan.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lei Wu
    • 1
    Email author
  • Lijun Mou
    • 1
  • Juan Li
    • 2
  • Yao Su
    • 1
  • Yue Sun
    • 1
  • Yekai Wei
    • 1
  • Huai Cao
    • 1
    • 3
  • Sijie Dong
    • 3
  1. 1.School of Mechanical Science and EngineeringHuazhong University of Science & TechnologyWuhanPeople’s Republic of China
  2. 2.Department of Art and DesignWuhan Huaxia University of TechnologyWuhanPeople’s Republic of China
  3. 3.Guangdong HUST Industrial Technology Research InstituteDongguanPeople’s Republic of China

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