Nasser Koleini Mamaghani
Department of Industrial Design, School of Architecture and Environmental Design, Iran/University of Science & Technology, Tehran-Iran
Elnaz Rahimian
Industrial Design, School of Architecture and Environmental Design, Iran University of Science & Technology, Tehran-Iran
Seyed-Reza Mortezæi
Department of Industrial Design, School of Architecture and Environmental Design, Iran/University of Science & Technology, Tehran-Iran
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Ingår i: KEER2014. Proceedings of the 5th Kanesi Engineering and Emotion Research; International Conference; Linköping; Sweden; June 11-13
Linköping Electronic Conference Proceedings 100:124, s. 1487-1494
Publicerad: 2014-06-11
ISBN: 978-91-7519-276-5
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Day by day; consumers look into more high quality products to choose and pay more attention to details such as sensual value. To fulfill this essential requirement of consumers; it will be necessary to progressively develop new products with dual nature addressing both functional and emotional needs. Kansei engineering is a successful methodology for gathering and analyzing the relations between consumers’ impressions and products’ properties. In Iranian food market; different food products with huge variety in type; taste; shape; size; packaging; and so on are available to consumers. A different approach to include consumers’ desire and feel is highly appreciated in Iranian food business. Such a strategy will be developed to fulfill customers’ feelings in order to attract them to purchase the food product. In Iran ketchup sauce are so much popular. Therefore; ketchup sauce bottle has been selected as a case in current study. 31 Kansei words and 8 different types of sauce bottles with different shapes and function were selected. All experiments were conducted in city of Tehran and 47 people participated in the study; comprising 23 men and 24 women in ages ranging from 20 to 50 years old. 5-point semantic differential scale was considered to determine the relations between products’ features and adjectives. The data were analyzed using SPSS software by multivariate statistical techniques such as factor analysis. The expected results and findings can provide a reference to make decisions on the properties of developing new products; which has great impact on future studies.
Kansei Engineering; Semantic Differential Method; Factor Analysis; Sauce Bottle; Packaging Design.
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