Eurosense 2016

A group of sensometrics and sensory scientists from Nofima participated at Eurosense 2016, A time of sense, in Dijon from the 11th to the 14th of September. There were more than 600 participants so there were a lot of information and good presentations.

We participated in several workshops and sessions:


“Temporality of meal behaviours: a new approach for graphical representation of video observations” Valérie L. Almli, Pauline Barbier, Anne Cécile Brit, Ingunn Berget and Agnès Giboreau.

“Methodological developments in Polarized Sensory Positioning (PSP)” P. Varela, I. Berget, K.S. Myhrer, K.H. Liland, G. Ares, T. Næs

“Projective mapping and food stickers: a good tool for better understanding children perception of fish” M. Mitterer-Daltoé, L. Schuastz-Breda, A. C. Belusso, B. Arruda-Nogueira, S. Fiszman & P. Varela

Does basic taste sensitivity play a role on preschoolers’ preferences for foods with characteristic taste profiles?” Valérie Almli, Frida Vennerød and Margrethe Hersleth (E3S workshop 1)

“Multiway comparison of TCATA and TDS: What are the real differences between these methods?” Ingunn Berget, J. Castura, M. Carlehög, G. Ares, T. Næs, P. Varela (Workshop temporal dominance of sensations)


Little girls prefer the sweetest drinks: gender and parenting style effects on sweet preferences in 4-year old children.” F.F.F. Vennerød, M. Hersleth, V.L. Almli

“Recognition thresholds for the basic tastes – which concentrations to use?” K.S. Myhrer, M. Carlehög, M. Hersleth

“All you wanted to know about dominance and never dared to ask. An exploration of the concept of dominance in TDS tests”. P. Varela, M. Carlehög, I. Berget, J. Castura, G. Ares, T. Næs


“Two case studies on panel performance in TDS experiments“ Alexia Nys, Cecile Petite, Margrethe Hersleth, Ingunn Berget.

 “Children’s hedonic perception of bread – comparison of results from CATA (Check-all-that-apply) and preference mapping” P. Varela, V. Almli, F. Vennerød, H. Kristiansen, C. Masi, M. Hersleth

“Check-k-that-apply: implications of restricting the number of answers in CATA questions”. P. Varela, A. Lezaeta, H. Kraggerud, T. Næs




Presentation at Sensometrics 2016

Ingunn Berget held a presentation entitled “Clustering data from projective mapping” at the  13th Sensometrics Conference . Coauthors of the work were P. Varela and T. Næs.

In this talk different strategies for clustering data from projective mapping were discussed. And a New methodologu, Sequential Clusterwise Rotations (SCR) was presented. This Method is based on a combination of procrustres analysis and a modified Fuzzy C means  algorithm.

The Conference was held in Brighton, UK from 27’th to 29’th of July with tutorials on the 26’th. There were 104 delegates from 16 countries around the globe. For more information about the program and the presentations, visit

Below a picture of the well known Brighton pier. img_0579




Mini-workshop on TDS and TCATA with John Castura

Just before Easter, John Castura from Compusense Inc. (Ontario, Canada) visited Nofima just for a mini-workshop on comparison of TDS (temporal dominance of sensations) and TCATA (temporal check-all-that-apply) . These are two methods for studying the dymanics of the sensory perception during consumption. The methods differ in how samples are evaluated. While in TDS assessors should only select the dominant attribute at each time point, in TCATA they can select all the attributes they find relevant for describing the sample concurrently.

The participants in the workshop were in addition to John, Paula Varela, Tormod Næs, Mats Carlehög. Margrethe Hersleth and Ingunn Berget (all from Nofima). Paula first presented results from a qualitatiative study of understanding the concept of dominance. Next we discussed results with both methods on bread samples, and which data analytical tools to use to extract more information about similarities and differences between the methods. An abstract has been sent to Eurosense

Jcastura visit group 1


TCATA trajectories

Mini-Arctic 5-6’th November

On November 5’th and 6’th a lunch-to-lunch workshop in chemometrics, statistics and data analysis was held at Nofima, Ås. The workshop was a follow-up on the conference “Arctic Analysis” that was held in Greenland in March 2014. Around twenty people from the Netherlands, Italy, Denmark and Norway  were invited. The participants were a mix of experienced and young researchers, but only the “young and promising” had the opportunity to present their work this time.

The program contained a variety of topics, but the majority were related to data fusion/multiblock methodology. The full titles of the presentations are listed below. The workshop was informal, and the small format allowed good and fruitful discussions. A new mini-workshop is planned next year in the Netherlands, before a full “Arctic Analysis” conference the year after.

On Wednesday evening there was a dinner in Oslo, of course in the “Grønland” district at “Olympen”, where we had traditional Norwegian Christmas food: “ribbe” and “riskrem”.

As usually, Solveig (Adm. Coordinator) had organized the practical parts of the workshop in an excellent way.


  • Comparison of structure-revealing data fusion models, Evrim Acar (University of Copenhagen)
  • Procrustes based clustering of multiblock data from projective mapping experiments, Ingunn Berget (Nofima)
  • Variants of Tikhonov Regularization for modelling spectral data, Joakim Skogholt (NMBU)
  • Separating common from distinctive variation, Frans van der Kloet (Leiden University, Netherlands Metabolomics Centre)
  • Analysis of designed experiments with focus on the ANOVA-Target projection approach, Federico Marini ( of Chemistry, University of Rome “La Sapienza”)
  • Classification of plastics containing brominated flame retardant through hyperspectral imaging and chemometrics, Marta Bevilacqua (University of Copenhagen)
  • Multi-set analysis for Multicolour Flow Cytometry: chemometrics for omics analysis of immunology, Jeroen Jansen (Radboud University)
  • A fast opportunistic PLS method for Multiblock data analysis, Kristian Liland (Nofima)
  • SO-NPLS: Sequentially Orthogonalized-Partial Least Squares for multiway arrays, Alessandra Biancolillo (Nofima, University of Copenhagen)
  • How to investigate highly correllated reference data, Åsmund Rinnan (University of Copenhagen(
  • Common an distinct components in data fusion – what does it mean in practice?, Ingrid Måge (Nofima)

SSC14- Sardinia

The 14’th Scandinavian Symposium in Chemometrics (SSC14) were held in Chia in Sardinia June 14-17. Some may think this was outside Scandinavia, and although the island has a nice coast and a fantastic nature, they are right. The advantageous of having a conference in Sardinia is, however, nice temparatures, nice beaches, nice temperatures for swimming and last, but at not least nice food and drinks. There were approximately 140 participants.

Participants from Nofima and NMBU were

Kristian Hovde Liland: “Comparing different measurement technologies by considering low-dimensional projections of associated sample data matrices”

Ingunn Berget: «Critical comparison of distance based methods, PCA and multiblock analyses of Polarized Sensory Positioning data” (flash presentation)

Ulf Indahl (NMBU): “Explaining the secrets behind O-PLS and Target Projections to non-experts by elementary linear algebra.”

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A method to deal with heterogeneity in consumer groups

The paper entitled “Modeling target group heterogeneity in experimental consumer studies” coauthored by J. Jansen, E. Menichelli and T. Næs was recently published in Food Quality and Preference. The paper presents the method Indvidual Differences (InD)  to deal with heterogeneity in consumer groups.

Full citation

Jansen, J. J., Menichelli, E., & Næs, T. (2015). Modeling target group heterogeneity in experimental consumer studies. Food Quality and Preference, 45(0), 50-57.


Consumer group heterogeneity, Consumer segmentation ,Individual Differences (InD) method, ANOVA residuals


Acceptance of a product by a consumer may result from a convoluted interplay between product attributes and individual characteristics of that consumer. Different methods that systematically combine product properties with consumer groups segmented on such characteristics have provided unprecedented insight, but ignore heterogeneity in acceptance within each consumer group. Although such knowledge is invaluable for targeted marketing, dedicated methods for consumer group heterogeneity are lacking. The authors aim to fill this gap by the Individual Differences (InD) method, which models differences between consumers within the same target group. The method scores the ‘diffusion’ within each group, shows how much each consumer contributes to that, and relates this information to product properties. Thereby also novel groups may be discovered, with attributes not covered in the consumer segmentation. The illustrative consumer study on apple juice reveals how young women differ in their price-consciousness and their acceptance on specific preparation technologies more than older women. Although men exhibit heterogeneity on the same product attributes, their mutual variability is considerably lower and they thereby form more homogeneous target groups.