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Journal of Graphics ›› 2023, Vol. 44 ›› Issue (2): 389-398.DOI: 10.11996/JG.j.2095-302X.2023020389

• Industrial Design • Previous Articles     Next Articles

Evaluation method of virtual museum interface layout aesthetic with visual cognitive characteristics

PEI Hui-ning(), WEN Zhi-qiang, HUANG Xue-qin, TAN Zhao-yun, ZHANG Xin-xin()   

  1. School of Architecture and Art Design, Hebei University of Technology, Tianjin 300401, China
  • Received:2022-05-09 Accepted:2022-08-29 Online:2023-04-30 Published:2023-05-01
  • Contact: ZHANG Xin-xin (1991-), lecturer, Ph.D. Her main research interests cover kansei engineering and intelligence design, etc. E-mail:zhangxinxin@hebut.edu.cn
  • About author:PEI Hui-ning (1986-), associate professor, Ph.D. Her main research interests cover cognitive ergonomics and intelligent design, etc. E-mail:peihuining@hebut.edu.cn
  • Supported by:
    Social Science Foundation of Hebei Province(HB20YS046)

Abstract:

To address the lack of quantitative research on users′ visual cognitive characteristics in the evaluation of human-machine interface layout, an evaluation method for virtual museums′ interface layout aesthetics was presented, taking into account human visual cognitive characteristics. Firstly, symmetry, density, simplicity, order and dominance were selected as the evaluation indexes, and the abstract rectangular layout image was taken as the sample to evaluate the aesthetic of the interface layout. Secondly, the eye tracking technique was used to test the aesthetic of the interface layout, and the results of the users′ visual cognitive physiological data were obtained. Thirdly, based on the grey theory, an improved grey H-convex correlation model was constructed to quantify the mapping between users′ visual cognitive characteristics and the aesthetic of human-machine interface layout. Finally, the method was applied to the analysis of human-machine interface layout design in virtual museums, the validity of the evaluation method and its ability to judge the positive and negative correlation of the aesthetic index of man-machine layout were verified.

Key words: virtual museum, interface layout aesthetic, visual cognitive characteristics, grey H-convex incidence

CLC Number: