基于视觉搜索的服装店铺陈列优化

Display optimizing of retail clothing store based on visual search

以在校女大学生为调查对象,运用店铺模型设定9个特定的位置,利用Photoshop软件,将9款目标服装与若干款非目标服装混合,制作图片162张。整个实验包括9个程序,每个程序包括9张店铺陈列图片,每张店铺陈列图片有9款服装。利用E-Prime系统,探讨服装店铺不同角度位置与视觉搜索之间的关系。调查结果显示,不同的店铺陈列位置显著影响被试者视觉搜索的正确率和视觉搜索时间。

The female students were chosen as the subjects. The related 9 styles are mixed with other non-related styles by using Photoshop to generate 162 photos. A store model of 9 specific locations was settled. There are 9 procedures for the experiment, and each procedure includes 9 store display photos and each photo has 9 styles. Using a store model of 9 specific location and E-Prime system, this research tempted to investigate the relationship between different angles of clothing store location and the visual search. The result shows that different store display locations significantly influence the accuracy of visual search and visual search time.