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Quantitative Evaluation of Visual Aesthetics of Human-Machine Interaction Interface Layout
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-10
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The current research on human-machine interaction interface layout focused on ergonomic analysis, while the research on aesthetics and aesthetic degree calculation of interface layout was insufficient.
In order to objectively evaluate the aesthetic degree of interface layout, this paper put forward an aesthetic degree evaluation method of interface design based on Kansei engineering.
Firstly, the perceptual image structure of interface aesthetic degree was analyzed from the perspective of aesthetic cognition.
Six aesthetic image factors affecting interface aesthetic degree, including proportion, conciseness, order, rhythm, density, and equilibrium, were extracted by factor analysis method, and the variance contribution rate of each factor was taken as the weight.
Secondly, according to the six aesthetic degree indexes, the calculation system of interface aesthetic degree was constructed, and the aesthetic degree value of aesthetic image factor was calculated by the corresponding aesthetic degree evaluation mathematical formula.
Then, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to analyze the order of aesthetic degree superiority of design schemes, and the comprehensive aesthetic degree evaluation was carried out.
Finally, the aesthetic degree evaluation of human-machine interaction interface layout of the driller’s console of an AC variable frequency drilling rig was taken as an example to verify that this method was helpful for designers to optimize the design scheme.
The experimental results showed that the proposed method was feasible and effective compared with the method of paired comparison commonly used in psychophysics.
American Psychological Association (APA)
Deng, Li& Wang, Guohua. 2020. Quantitative Evaluation of Visual Aesthetics of Human-Machine Interaction Interface Layout. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1138983
Modern Language Association (MLA)
Deng, Li& Wang, Guohua. Quantitative Evaluation of Visual Aesthetics of Human-Machine Interaction Interface Layout. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1138983
American Medical Association (AMA)
Deng, Li& Wang, Guohua. Quantitative Evaluation of Visual Aesthetics of Human-Machine Interaction Interface Layout. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1138983
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138983