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Exploration of a new consumer test method based on metacognitive certainty

机译:基于元认知确定性的新消费试验方法探讨

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Successful product development and marketing necessitate a study of the consumer concept of culture-specific or deep-positioned branded food. In this study, a new consumer test method was designed based on an authenticity test and used as a reference frame for the target concept without an upsetting story. The response format of this method included the metacognitive certainty response following the sensory authenticity response using the A-Not A test procedure. The method was applied to study the concept of goso flavor, as perceived by 91 female consumers with three commercial soymilk products, having each consumer evaluate each product 45 times over three days. The repeated responses of sensory authenticity were analyzed as mean scores and signal detection theory (SDT) d-prime (d') values of the product difference. From the metacognitive certainty responses after the sensory authenticity response, a new quantitative group measure of d-prime metacognition (d'(MC)) was calculated in the SDT context and compared with the other outputs. The measure ranged from negative to positive values, indicating a mismatch to a match for the concept of each product. Data analyses were conducted on both pooled data and segmented data, which was driven from the results of cluster analyses using the mean sensory authenticity scores and SDT C values (estimates of response bias about the concept tested). The results showed that d'(MC) of each product corresponded to the mean scores and d' with the advantage of easy interpretation. Overall, d'(MC) can be a useful group measure for studying the consumer concept towards food and beverages.
机译:成功的产品开发和营销需要研究特定文化或深定位的品牌食品的消费者概念。在这项研究中,基于真实性测试设计了一种新的消费者测试方法,并用作目标概念的参考框,而没有令人沮丧的故事。此方法的响应格式包括使用A-NOT测试过程的感官真实性响应后的元认知确定性响应。该方法应用于研究Goso味道的概念,如91名雌性消费者对三种商用豆浆产品的感知,每个消费者评估每种产品45次超过三天。分析了感觉真实性的重复响应,作为平均分谱和信号检测理论(SDT)D-Prime(D')值的产品差异。根据感官真实性响应后的元认知确定性响应,在SDT上下文中计算了一种新的D-Prime元记录(D'(MC))的数量群体测量,并与其他输出进行比较。测量范围从负面到正值,表明对每个产品概念的匹配不匹配。数据分析是在池的数据和分段数据上进行的,该数据由使用平均感官真实性分数和SDT C值(对概念测试的响应偏差估计)驱动。结果表明,每种产品的D'(MC)对应于平均分子和D',其优点是简单的解释。总体而言,D'(MC)可以是研究消费者概念对食品和饮料的有用群体措施。

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