Sensory Mapping Algorithm and Enhanced Product Development

Author

Makov, Udi E. ; Ben-Assor ; Saguy, I. Sam

Author_Institution

Dept. of Stat., Univ. of Haifa, Haifa

Volume

2

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

180

Lastpage

184

Abstract

This article describes a sensory mapping algorithm based on the simultaneous application of data mining on two sets of data, corresponding to two processes governing customers´ preferences: The sensory process, which governs the acceptance of a product as a function of hedonic variables, and the analytical process, which relate the sensory responses to objective analytical properties of the product; data mining is carried out by the means of structural equation modeling, and the final algorithm allows the prediction of purchase intent of a new product given its sensory attributes and analytical composition.

Keywords

customer satisfaction; data mining; product development; analytical composition; customer preferences; data mining; enhanced product development; hedonic variables; purchase intent; sensory attributes; sensory mapping algorithm; sensory responses; structural equation modeling; Algorithm design and analysis; Data mining; Equations; Food products; Numerical analysis; Power system modeling; Predictive models; Product development; Statistics; Time series analysis; Data Mining; Latent Variables; Product innovation; Sensory Mapping Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology, 2009. ICCET '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3334-6

Type

conf

DOI

10.1109/ICCET.2009.227

Filename

4769583