Through the analysis of consumers’ attitude (ATT) and purchase intention (PI) toward parent-child smart clothing, this research reversely derives and extracts the design elements of this type of clothing. This research expands the category of Technology Acceptance Model (TAM) with clothing design attribute. Based on perceived usefulness (PU), perceived ease of use (PE) and perceived performance risk (PR), functionality (FUN), aesthetic (AES) and compatibility (COM) of clothing are added to analyze the factors affecting consumers’ ATT and PI toward parent-child smart clothing. A total of 372 volunteers participated in the test, and the results show that COM has a significant positive influence on PU, PE and PR. PU and FUN have a positive influence on purchase ATT and PI. PE positively affects PU and positively affects purchase ATT. PE positively affects PU and positively affects purchase ATT.AES positively influences purchase ATT but has little impact on PI. PR negatively influences both purchase ATT and PI but have little impact on PI. This research confirms the significance of multi-dimensional features of smart parent-child clothing, extracts and preliminarily establishes the framework model of design evaluation elements. And the results are helpful to the product design and development of parent-child smart clothing in the future.

通过分析消费者对亲子智能服装的态度（ATT）和购买意愿（PI），本研究反向推导并提取了此类服装的设计元素。这项研究扩展了具有服装设计属性的技术验收模型（TAM）的类别。根据感知的有用性（PU），感知的易用性（PE）和感知的性能风险（PR），服装的功能性（FUN），美观性（AES）和兼容性（COM）来分析影响消费者ATT和PI面向亲子智能服装。共有372名志愿者参加了测试，结果表明COM对PU，PE和PR具有显着的积极影响。PU和FUN对购买ATT和PI具有积极影响。PE正面影响PU，正面影响购买ATT。PE正面影响PU，正面影响购买ATT.AES正面影响购买ATT，但对PI影响不大。PR对购买ATT和PI都具有负面影响，但对PI的影响很小。这项研究证实了智能亲子服装的多维特征的重要性，提取并初步建立了设计评估要素的框架模型。研究结果对未来亲子智能服装的产品设计和开发很有帮助。提取并初步建立设计评估要素的框架模型。研究结果对未来亲子智能服装的产品设计和开发很有帮助。提取并初步建立设计评估要素的框架模型。研究结果对未来亲子智能服装的产品设计和开发很有帮助。