For successful product development and marketing in the food/beverage industry, it is vital to study the product attributes perceived by consumers effectively and efficiently. Recently, a two-step rating-based ‘double-faced applicability’ (DFA) test was developed to study consumer perception and evaluation of product attributes in a quantitative way using d-prime affect magnitude (d'_A) based on signal detection theory. This study assessed the product discrimination and characterization performance and interpretationability of d'_A output measures of the DFA approach in comparison with the check-all-that-apply (CATA) question. An independent samples design (each N = 108) was used to evaluate eighteen ready-to-drink (RTD) latte products with eighteen attributes. A cluster analysis was also performed, and based on this the relationships of the two output statistics - d'_A and total citation frequency were examined. Product attributes were generated based on literature reviews on coffee sensory and emotion studies and sensory/consumer research methodology to encompass consumer perception generally applicable to beverage, and for each attribute, a pair of ‘double-faced’ descriptors in three categories - ‘general weak-strong’, ‘sensory’, and ‘sentimental consequence’ were used for the DFA test. The d'_A of the DFA test provided similar product characterization to citation frequency of the CATA question, yet provided better product discrimination and reflected the consumer affective perception for each product independently in a better interpretable way, in valence. It showed a sigmoid relationship with the citation frequency due to its nature of reflecting valence. Overall, the results contribute support for the usefulness of the DFA approach for consumer product testing and suggest the potential of developing a generally applicable DFA test format for studying integrated attribute perception.

对于食品/饮料行业的成功产品开发和营销，有效和高效地研究消费者感知的产品属性至关重要。最近，开发了一种基于两步评级的“双面适用性”(DFA) 测试，以基于信号检测理论的 d-prime 影响幅度 (d' _A ) 以定量方式研究消费者对产品属性的感知和评估. 本研究评估了d' _A的产品鉴别和表征性能和可解释性  DFA 方法的输出度量与检查所有应用 (CATA) 问题的比较。使用独立样本设计（每个 N = 108）评估十八种具有十八种属性的即饮 (RTD) 拿铁产品。还进行了聚类分析，并在此基础上检查了两个输出统计数据 - d' _A和总引用频率的关系。产品属性是根据关于咖啡感官和情感研究的文献评论以及感官/消费者研究方法生成的，以涵盖普遍适用于饮料的消费者感知，并且对于每个属性，在三个类别中都有一对“双面”描述符 - “一般弱-强”、“感官”和“情感后果”用于 DFA 测试。d' _A _   DFA 测试提供了与 CATA 问题的引用频率相似的产品表征，但提供了更好的产品区分，并以更好的可解释方式独立反映了消费者对每种产品的情感感知。由于其反映价的性质，它与引用频率呈 sigmoid 关系。总体而言，结果有助于支持 DFA 方法对消费品测试的有用性，并建议开发一种普遍适用的 DFA 测试格式来研究综合属性感知的潜力。