Research on the Evaluation Model for the Tactile Feel of Custom Wardrobe Furniture Finishes

Abstract

The decision-making process of consumers regarding custom wardrobe furniture transcends product functionality to include the sensory experience, notably the tactile aspect. This study focuses on the tactile experience to assist consumers in evaluating the tactile feel of custom wardrobe finishes, such as cognitive fuzziness during the experience, the challenge of clearly describing the connection between touch sensation and the physical attributes of the custom wardrobe, and reducing communication costs between users and designers. The research first clarifies the hierarchical cognitive structure of the tactile sensation of custom wardrobe finishes, then explores the logical relationships between levels through linear regression models. Subsequently, a nonlinear relationship model between the “Physical Attributes Layer” and the “Tactile Sensation Layer” is constructed using a Backpropagation Neural Network, and the connection between the “Tactile Sensation Layer” and the “Comprehensive Evaluation Layer” is mapped through a multiple linear regression equation. This comprehensive evaluation system for the tactile feel of custom wardrobe finishes provides designers with a tool to optimize the tactile characteristics of products, thereby shortening the design iteration cycle and improving design precision. It also helps users better express their emotional needs in terms of tactile sensations, enhancing the connection between tactile experience and emotion.

Keywords

• custom wardrobes
• tactile evaluation
• bp neural network
• multiple linear regression
• sensory experience