International Journal of Affective Engineering

Featured article

Volume 21 (2022) Issue 3 Pages 219-227

Linking the Kansei Food Model to the General Affective Engineering Model

Simon SCHÜTTE, Lluis MARCO-ALMAGRO

The methodology of Kansei Engineering can grasp consumer’s subjective affective impressions about a product and turn it into concrete product solutions. The Kansei Food model is a specialized model doing this for food products. The aim of this paper is to interlink it with the more general model on Affective Engineering as well as to validate the findings by applying them in a case study. The general Kansei Engineering model and the Kansei Food model were analyzed, and the key parts of both models merged to a hybrid model. This model is then applied in a study on a development project for chocolate toffee fillings for sport applications. The case yielded valid results and gave an input to a parallel food development process. In conclusion, the Kansei Food model fits together with the general Kansei model. Hence, standardization makes it possible to have a more detailed look on sequential steps. Also, it becomes possible to transfer tools from other branch models (e.g. from automotive industry) in food industry and vice versa.

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2025 Volume 24 Issue 2

A Study on the Effects of Combining Music and Animation on Emotional Induction Thunrada THAIWONG, Makoto FUKUMOTO
Effects of Simultaneous Expression of Multiple Opinions by Single Agent on User’s Subjective Impression Rin TAKENOWAKI, Jun-ichi IMAI
Enhancing Decision-Making System with Implicit Attitude and Preferences: A Comprehensive Review in Computational Social Science Dian Christy SILPANI, Kaori YOSHIDA
A Proposal for Interactive Evolutionary Computation Creating ASMR Sounds with Adjustment of Number of Source Sounds Makoto FUKUMOTO, Zhen NAN

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