OPTIMIZATION OF ART CLEANING DEVICE BASED ON ELECTRONIC USER EXPERIENCE

Abstract

With the continuous growth of the number of artistic groups, the brush cleaning problem has gradually become the focus of the industry, which has led to a change in consumer demand for brush washing utensils. This study aims to analyze the shortcomings of existing brush washing utensils on the market and propose an optimized design scheme for automatic brush cleaning devices. Research methods: First, by collecting user evaluation data on online usage experience, the technical defects of current brush washing utensils and the tendency of user needs are identified. Subsequently, a KANO model questionnaire is used to conduct a sample survey of the target user group, and user demand indicators are extracted through data mining technology to clarify the direction of product function design. Research results: Guided by TRIZ theory, this study explores technical improvement solutions and resolves potential conflicts, and finally designs a brush washing utensil that can meet user needs. Research conclusion: The innovative brush washing utensil design integrates the characteristics of automation, efficiency and sustainability, effectively breaks through the limitations of traditional brush washers, and provides technical guidance for the design of future brush washing utensils.