Quantitative Evaluation of Visual Aesthetics of Human-Machine Interaction Interface Layout
المؤلفون المشاركون
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-10
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138983
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر