Textile Pattern Design for New Chinese Furniture Based on AIGC and Eye Tracking

MENG Jiajie; ZHANG Ruixia; GUO Xiaofang; KANG Kai

doi:10.19554/j.cnki.1001-3563.2026.02.041

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (2) : 409-420. DOI: 10.19554/j.cnki.1001-3563.2026.02.041

Design Discussion

Textile Pattern Design for New Chinese Furniture Based on AIGC and Eye Tracking

MENG Jiajie^1,2, ZHANG Ruixia^1,2,*, GUO Xiaofang^1,2, KANG Kai³

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Abstract

In order to realize the efficiency, diversity and culture of furniture textile pattern design to meet the deep-rooted needs of users, the work aims to employ AIGC assisted design and eye tracking technology to form the process and method of optimizing the design of new Chinese furniture textile patterns, and evaluate and verify the design with pillow pattern as an example. Firstly, the optimal design process and method were clarified. Secondly, the questionnaire survey and expert interview were applied to obtain the cues from users and experts on the representative pattern samples of new Chinese pillows. Thirdly, Midjourney was applied to generate the design scheme based on the representative samples and cues. Finally, the subjective and objective evaluations of the design scheme were carried out by eye tracking technology and scale measurement method to select the optimal scheme in line with the users' preference. Nine types of new Chinese pillow pattern design schemes were generated, and combined with the eye tracking hotspot map, AOI gaze data and scale evaluation results, the flower and bird pattern scheme was output as the one that best met the users' preference. The AIGC assisted generation of new Chinese pillow pattern design schemes can meet the diversified needs of users and improve the efficiency of designers. The subjective-objective combination of eye tracking technology and scale measurements makes the generation of the optimal scheme more reliable. The new Chinese textile pattern design process based on human-machine collaboration and subjective-objective evaluation can provide a reference for the related design fields.

Key words

new Chinese furniture textiles / AIGC / eye tracking experiment / pattern design

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MENG Jiajie, ZHANG Ruixia, GUO Xiaofang, KANG Kai. Textile Pattern Design for New Chinese Furniture Based on AIGC and Eye Tracking[J]. Packaging Engineering. 2026, 47(2): 409-420 https://doi.org/10.19554/j.cnki.1001-3563.2026.02.041

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