Computing Ideal Number of Test Subjects - Sensorial Map Parametrization

Jessica Dacleu Ndengue, Mihaela Juganaru-Mathieu, Jenny Faucheu

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.

References

  1. Abdi, H. (2007). RV coefficient and congruence coefficient. Encyclopedia of measurement and statistics, pages 849-853.
  2. Barcenas, P., Elortondo, F. P., and Albisu, M. (2004). Projective mapping in sensory analysis of ewes milk cheeses: A study on consumers and trained panel performance. Food Research International, 37(7):723- 729.
  3. Dacleu Ndengue, J., Faucheu, J., Bassereau, J.-F., Zahouani, H., Massi, F., and Delafosse, D. (2016). Perception of textured material: Does familiarity affects tactile, visual and visuo-tactile discrimination? in progress.
  4. Dehlholm, C., Brockhoff, P. B., Meinert, L., Aaslyng, M. D., and Bredie, W. L. (2012). Rapid descriptive sensory methods-comparison of free multiple sorting, partial napping, napping, flash profiling and conventional profiling. Food Quality and Preference, 26(2):267-277.
  5. D'Olivo, P., Del Curto, B., Faucheu, J., Lafon, D., Bassereau, J.-F., Leˆ, S., and Delafosse, D. (2013). Sensory metrology: when emotions and experiences contribute to design. In 19th International Conference on Engineering Design (ICED13), pages DS75- 7 052. The Design Society.
  6. Faucheu, J., Caroli, A., Del Curto, B., Delafosse, D., et al. (2015). Experimental setup for visual and tactile evaluation of materials and products through napping R procedure. In DS 80-9 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 9: User-Centred Design, Design of SocioTechnical systems, Milan, Italy, 27-30.07. 15.
  7. Kennedy, J. and Heymann, H. (2009). Projective mapping and descriptive analysis of milk and dark chocolates. Journal of Sensory Studies, 24(2):220-233.
  8. Leˆ, S. and Husson, F. (2008). SensoMineR: A package for sensory data analysis. Journal of Sensory Studies, 23(1):14-25.
  9. Leˆ, S., Josse, J., Husson, F., et al. (2008). FactoMineR: an R package for multivariate analysis. Journal of statistical software, 25(1):1-18.
  10. Pagès, J. (2003). Direct collection of sensory distances: application to the evaluation of ten white wines of the loire valley. Sciences des Aliments, 23(5-6):679-688.
  11. Risvik, E., McEwan, J. A., Colwill, J. S., Rogers, R., and Lyon, D. H. (1994). Projective mapping: A tool for sensory analysis and consumer research. Food quality and preference, 5(4):263-269.
  12. Risvik, E., McEwan, J. A., and Rødbotten, M. (1997). Evaluation of sensory profiling and projective mapping data. Food quality and preference, 8(1):63-71.
  13. Robert, P. and Escoufier, Y. (1976). A unifying tool for linear multivariate statistical methods: the rv-coefficient. Applied statistics, pages 257-265.
  14. Varela, P. and Ares, G. (2014). Novel techniques in sensory characterization and consumer profiling . CRC Press.
Download


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