Computing Ideal Number of Test Subjects - Sensorial Map Parametrization

Jessica Dacleu Ndengue, Mihaela Juganaru-Mathieu, Jenny Faucheu

2016

Abstract

A sensory analysis was carried using a special napping table on two different set of products in order to investigate on texture perception of material, the tests were done using a human panel. The data collected were analyzed through multiple factor analysis (MFA) which is a particular case of principal component analysis (PCA). The aim of this study is to know the minimum number of subjects in the human panel that can guarantee a meaningful statistical analysis of data, and so far allows a better understanding of the sensory results. We built a particular function that measures the similarity between two representations (two matrices) which are computed using the output of Napping table. Based on this function and using the whole datasets an algorithm able to measure the robustness is implemented. We found on the two datasets that a minimum number of subjects between 10 and 12 seems to insure a stable and robust statistical analysis of the sensory results.

Paper Citation

in Harvard Style

Dacleu Ndengue J., Juganaru-Mathieu M. and Faucheu J. (2016). Computing Ideal Number of Test Subjects - Sensorial Map Parametrization . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 437-442. DOI: 10.5220/0006086404370442

in Bibtex Style

@conference{kdir16,
author={Jessica Dacleu Ndengue and Mihaela Juganaru-Mathieu and Jenny Faucheu},
title={Computing Ideal Number of Test Subjects - Sensorial Map Parametrization},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={437-442},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006086404370442},
isbn={978-989-758-203-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Computing Ideal Number of Test Subjects - Sensorial Map Parametrization
SN - 978-989-758-203-5
AU - Dacleu Ndengue J.
AU - Juganaru-Mathieu M.
AU - Faucheu J.
PY - 2016
SP - 437
EP - 442
DO - 10.5220/0006086404370442