Construction of an Ideal Map (IdMap) based on the ideal profiles obtained directly from consumers

Food Quality and Preference

Volumn 26, Issue 1, 2012, Pages 93-104

  Worch, Thierry ^a,b   Lê, Sébastien ^b   Punter, Pieter ^a   Pagès, Jérôme ^b  

^a OP and P Product Research   (Netherlands)

^b AGROCAMPUS OUEST   (France)

Author keywords

Confidence ellipses; Consumers; Ideal Profile Method; Optimization; Preference mapping

Indexed keywords

EID: 84860222512     PISSN: 09503293     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodqual.2012.04.003     Document Type: Article

References (21)

1. Carroll J.D. Individual differences and multidimensional scaling. Multidimensional scaling: Theory and applications in the behavioral sciences 1972, Academic Press, New York. R.N. Shepard, A.K. Romney, S. Nerloves (Eds.).
2. Couronne T. Application de l'analyse factorielle multiple à la mise en relation de données sensorielles et de données de consommateurs. Sciences des Aliments 1996, 16:23-35.
3. Danzart, M. (1998). Quadratic model in preference mapping. 4th Sensometric meeting, Copenhagen, Denmark, August 1998.
4. Danzart, M. (2009). Cartographie des préférences. In Evaluation sensorielle, manuel méthodologique (3ème éd.). Lavoisier, Paris, pp. 443-450.
5. Ennis D.M. Analytic approaches to accounting for individual ideal points. IFPress 2005, 8(2):2-3.
6. Escofier, B., & Pagès, J. (2008). Analyses factorielles simples et multiples (4ème éd.). Dunod, Paris.
7. Faber N.M., Mojet J., Poelman A.A.M. Simple improvement of consume fit in external preference mapping. Food Quality and Preference 2003, 14:455-461.
8. Greenhoff K., MacFie H.J.H. Preference mapping in practice. Measurement of food preferences 1994, 137-166. Blackie Academic & Professional, Glasgow. H.J.H. MacFie, D.M.H. Thomson (Eds.).
9. Husson F., Lê S., Pagès J. Confidence ellipse for the sensory profiles obtained by principal component analysis. Food Quality and Preference 2005, 16:245-250.
10. Husson F., Pagès J. Nuage plan d'individus et variables supplémentaires. Revue de Statistique Appliquée 2003, 51(4):83-93.
11. Lê S., Husson F., Pagès J. Another look at sensory data: How to " have your salmon and eat it, too" . Food Quality and Preference 2006, 17:658-668.
12. Lengard V., Kermit M. 3-Way and 3-block PLS regressions in consumer preference analysis. Food Quality and Preference 2006, 17:234-242.
13. MacFie H.J., Bratchell N., Greenhoff K., Vallis L.V. Designs to balance the effect of order of presentation and first-order carry-over effects in hall tests. Journal of Sensory Studies 1989, 4:129-148.
14. Mao M., Danzart M. Multi-response optimisation strategies for targeting a profile of product attributes with an application on food data. Food Quality and Preference 2008, 19:162-173.
15. Schlich P., McEwan J.A. Cartographie des préférences, un outil statistique pour l'industrie agro-alimentaire. Sciences des Aliments 1992, 12:339-355.
16. Stone H., Sidel J., Oliver S., Woosley A., Singleton R.C. Sensory evaluation by quantitative descriptive analysis. Food Technology 1974, 28:24-34.
17. Van Kleef E., Van Trijp H.C.M., Luning P. Internal versus external preference analysis: An exploratory study on end-user evaluation. Food Quality and Preference 2006, 17:387-399.
18. Worch, T. (2011). The ideal profile method. In Current status and future directions for alternative descriptive sensory methods workshop. Oral presentation at the 9th Pangborn Sensory Science Symposium, Toronto, Canada, September, 2011.
19. Worch T., Lê S., Punter P.H. How reliable are the consumers? Comparison of sensory profiles from consumers and experts. Food Quality and Preference 2010, 21:309-318.
20. Worch, T., Lê, S., Punter, P. H., & Pagès, J. (2011). Analysis of ideal data obtained by the ideal profile method to better understand consumers and their needs. Poster presentation at the 9th Pangborn Sensory Science Symposium, Toronto, Canada, September 2011.
21. Worch T., Lê S., Punter P.H., Pagès J. Assessment of the consistency of ideal profiles according to non-ideal data for IPM. Food Quality and Preference 2012, 24:99-110.