Author(s)

Yang Luo ¹, Quan Huang ¹, Hao Liu ¹

Affiliation(s)

¹ Department of Information Science and Engineering, Hunan University of Humanities, Science and Technology, Loudi, 417000, China

Corresponding Author

Quan Huang

ABSTRACT

With the rapid development of the Internet and the continuous increase of users, computer software increasingly needs to consider humanized design when designing. Previous User Interface (UI) had issues such as insufficient consistency and slow response time in humanized design. This article applied visual Data Mining (DM) to the user-friendly design of computer software UI. The article compared the UI humanization design effects of neural network method and decision tree method. The experimental results showed that the average consistency of UI humanization design based on neural network method and decision tree method was 95.2% and 88.4%, respectively, for data after one month of UI upgrade. Based on the data from two months after the UI upgrade, the average consistency of UI humanization design based on neural network method and decision tree method was 96.3% and 92.0%, respectively. From this, it could be concluded that applying neural network method to humanized design of UI could effectively improve the consistency of humanized design of UI.

KEYWORDS

User Interface; Visual Data Mining; Computer Software; Humanized Design

CITE THIS PAPER

Yang Luo, Quan Huang, Hao Liu, Research on Humanized Design and Implementation of Computer Software User Interface Based on Visual Data Mining. Journal of Electronics and Information Science (2024) Vol. 9: 157-168. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090220.

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