目的 为实现家具用纺织品图案设计的高效性、多样性与文化性,以满足用户的深层次需求,借助AIGC辅助设计与眼动追踪技术,形成新中式家具用纺织品图案优化设计的流程与方法,并以抱枕图案设计为例进行评估验证。方法 首先,明确优化设计流程与方法;其次,应用问卷调查和专家访谈法获取用户与专家对新中式抱枕代表性图案样本的提示词;再次,基于代表性样本及提示词应用Midjourney生成设计方案;最后,通过眼动追踪技术和量表测量方法对设计方案进行主客观评价,筛选出符合用户偏好的最优方案。结果 生成9类新中式抱枕图案设计方案,结合眼动热点图、AOI注视数据及量表评价结果,输出花鸟类图案为最符合用户偏好的方案。结论 以AIGC辅助生成的新中式抱枕图案设计方案可满足用户多样化需求、提高设计师的工作效率;以眼动追踪技术和量表测量的主客观结合的评估方法使最优方案的产生更可靠;基于人机协同与主客观评价的新中式家具用纺织品图案设计流程,可为相关设计领域提供参考思路。
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.
关键词
新中式家具用纺织品 /
人工智能生成技术（AIGC） /
眼动实验 /
图案设计
Key words
new Chinese furniture textiles /
AIGC /
eye tracking experiment /
pattern design
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基金
内蒙古自治区自然科学基金项目（2022LHMS08006）; 内蒙古师范大学基本科研业务费项目（2022JBTD014）; 内蒙古师范大学基本科研业务费青年基金项目（2022JBQN138）; 内蒙古自治区高等学校科学研究项目（NJSZ22603）
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