Abstract Recently, we have proposed the degree of satisfaction-difference (DOSD) method to measure changes in consumer product acceptance (Kim, van Hout, Dessirier, et al., 2018). The DOSD method utilizes A-Not A with reminder format to improve the stability and validity of the consumer evaluation by reminding consumers of the evaluative criteria with the reference sampling and by controlling the sequence effects on each sampling of the blind test product. Using the data obtained from DOSD method, in this paper, a way to compute a measure of the absolute degree of satisfaction for a product based on signal detection theory (SDT), referred to as d'SAT (d-prime satisfaction), is suggested. This new measure is compared to the comparative distance measure of d', the degree of satisfaction difference of a product from the reference product, which has been already described in the previous study. The absolute satisfaction degree is a value indicating each product’s degree of consumer satisfaction as in the hedonic score. However, the degree of satisfaction measure presented herein is superior to the hedonic score because it enables easy interpretation of whether a group of consumers are satisfied or not with a product. In practical situations, the two measures of the degree of satisfaction difference from the reference and the degree of satisfaction, which are computed using the data from DOSD method, can be used complementarily in order to reveal information about consumer perception and evaluation.

中文翻译：

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测量消费者接受度的满意度差异 (DOSD) 方法：基于信号检测理论的满意度的比较和绝对测量

摘要 最近，我们提出了满意度差异度（DOSD）方法来衡量消费品接受度的变化（Kim、van Hout、Dessirier 等，2018）。DOSD方法利用A-Not A和提醒格式，通过参考抽样提醒消费者评价标准，控制盲测产品每次抽样的顺序效应，提高消费者评价的稳定性和有效性。使用从 DOSD 方法获得的数据，在本文中，一种基于信号检测理论 (SDT) 计算产品绝对满意程度的方法，称为 d'SAT（d-prime 满意度），是建议。将此新度量与 d' 的比较距离度量（产品与参考产品的满意度差异程度）进行比较，这在之前的研究中已经描述过。绝对满意程度是表示每个产品的消费者满意程度的值，如享乐分数。然而，这里提出的满意度度量优于享乐分数，因为它可以轻松解释一组消费者是否对产品感到满意。在实际情况中，使用DOSD方法的数据计算的满意度差异度和满意度这两个度量可以互补使用，以揭示有关消费者感知和评价的信息。这里提出的满意度度量优于享乐分数，因为它可以轻松解释一组消费者是否对产品感到满意。在实际情况中，使用DOSD方法的数据计算的满意度差异度和满意度这两个度量可以互补使用，以揭示有关消费者感知和评价的信息。这里提出的满意度度量优于享乐分数，因为它可以轻松解释一组消费者是否对产品感到满意。在实际情况中，使用DOSD方法的数据计算的满意程度与参考差异程度和满意程度这两个度量可以互补使用，以揭示有关消费者感知和评价的信息。