服装
服装设计
快时尚
产品(数学)
模式(遗传算法)
质量(理念)
营销
战斗
产品设计
计算机科学
心理学
业务
广告
人机交互
数学
情报检索
哲学
几何学
考古
认识论
历史
作者
Garim Lee,Hye-Young Kim
标识
DOI:10.1016/j.jretconser.2023.103690
摘要
Generative Artificial Intelligence (AI) empowers the AI design process. Then, how do consumers respond to AI-designed fashion products? Building on schema theory, this research investigated the extent to which AI-designed clothing is perceived as authentic through three online experiments. Study 1 (n = 121) and Study 2 (n = 161) showed consumers generally respond more favorably to human-designed (vs. AI-designed) clothing, which is driven by perceived authenticity and expected product quality. Study 3 (n = 156) confirmed that negative responses toward AI-designed clothing can be mitigated when consumers have the option to provide input to customize the design because it enhances perceived authenticity. Study findings offer a theoretical understanding of how and why consumers respond to AI-designed products and practical guidelines for retailers.
科研通智能强力驱动
Strongly Powered by AbleSci AI