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Sensory Evaluation Methods for Sound
Published in Nick Zacharov, Sensory Evaluation of Sound, 2018
Jesper Ramsgaard, Thierry Worch, Nick Zacharov
Semantic differential is a method originally developed to measure the connotative meaning of objects, events and concepts (Osgood et al., 1957). From a practical perspective it has become the common name to describe methods where a single stimulus/multiple attribute paradigm is used with bi-polar scales with pairs of antonym terms as verbal anchors. In many other respects it is similar to other DA methods such as QDA.
Product innovation concept generation based on deep learning and Kansei engineering
Published in Journal of Engineering Design, 2021
Xiong Li, Jianning Su, Zhipeng Zhang, Ruisheng Bai
Questionnaire construction. Because the internet and smartphones have become an integral part of people’s lives, such as online office, online learning and online shopping, it is natural to save time and labour by performing surveys online traditional surveys. Besides, what excites us most is that the speed of data update online surveys is unmatched by traditional surveys. Consumers’ and user’s affective responses obtained through online questionnaires are more authentic than conventional surveys. We used the determined affective preference tags and product images to construct an online questionnaire based on the semantic differential. Semantic differential, proposed by Osgood, Suci, and Tannenbaum (1957), an American psychologist, is a user-centric design technique commonly used to obtain consumer affective scores for products. This study uses the 5-point semantic differential scale for quantifying consumers and user’s affective preferences. As shown in Figure 4, from 1 to 5, each point represents a preference level of the customers and users. For instance, 1 and 5 represent a pair of bipolar adjectives, while 3 represents a medium level. Finally, the user Kansei evaluation data set was obtained through online surveys.
Affective design using machine learning: a survey and its prospect of conjoining big data
Published in International Journal of Computer Integrated Manufacturing, 2020
Kit Yan Chan, C.K. Kwong, Pornpit Wongthongtham, Huimin Jiang, Chris K.Y. Fung, Bilal Abu-Salih, Zhixin Liu, T.C. Wong, Pratima Jain
Task 4 Evaluating relationships between affective customer needs and perceptual design attributes: Survey questions and questionnaires can be used to study the relationships between affective customer needs and perceptual design attributes, where affective customer needs and perceptual design attributes are identified based on Tasks 1–3. The survey attempts to determine customers’ affective experience. In the survey, a Semantic differential method (SD) is generally used to study customer affections from product domains (Jiao, Zhang, and Helander 2006; Barnes and Lillford 2009; Nagamachi 2010). The SD uses N-point psychometric scales to map affective customer needs into discrete opinion scores. SD questionnaires have been used to collect affective customer needs (Akay and Kurt 2009; Kongprasert et al. 2008; Zhai, Khoo, and Zhong 2009a).
Research on the landscape attractiveness of the selected abandoned quarries
Published in International Journal of Mining, Reclamation and Environment, 2018
Elżbieta Baczyńska, Marek W. Lorenc, Urszula Kaźmierczak
One important aspect of the method is its ability to select the human factor in the attractiveness evaluation and human feelings applicable to this area [1]. The semantic differential is a type of a measuring scale used to assess connotations. This process was presented by Osgood (op. cit.) by means of a simplified model composed of three stages: (I) – a stimulus which enters human consciousness and is recognised as a sign indicating a certain feeling on the part of an individual; (II) – positive or negative word expression and comparing it to the current event; (III) – staying in or leaving a specific place, depending on positive or negative stress. The distinguishing feature of this method is a scale whose outermost points are presented in the form of two antonyms: bad–good, inexpensive–expensive, useless–useful, etc. [6,15,17].