Final programme

Final Programme

You can download the Book of abstracts here

9th April

08:30 - 09:00  Registration for tutorials
09:00 - 12:30 Tutorials - Morning session
12:30 - 14:00 Lunch for tutorial attendees
14:00 - 17:00 Tutorials - Afternoon session
19:00 - 21:30 Welcome cocktail

10th April

08:30 - 09:00 Opening 
09:00 - 10:00 Invited speaker - Analysing individual differences in sensory science: Why and how? - Tormod Næs (NOFIMA, Norway)
10:00 - 10:30 Flash presentations
10:30 - 11:00 Coffee break
11:00 - 12:00 Oral Session 1 - Segmentation
O1.1 - Consumer segmentation based on responses to check-all-that-apply (CATA) questions: Application of three way methods - Amparo Tárrega (Instituto de Agroquímica y Tecnología de Alimentos, Spain)
O1.2 - Cluster analysis of multiblock datasets. Application to projective mapping/Napping and free sorting task - Fabien Llobell (XLStat, France)
O1.3 - Modeling TDS data and segmenting TDS consumer panel thanks to a mixture of semi-Markov chains - Guillaume Lecuelle (INRA, France)
O1.4 - Segmenting consumers on the basis of their benefit hierarchies - Juan Martínez (P&K Research, USA)
12:00-13:30 Lunch
13:30 - 15:30 Workshop - An in-depth look into collection and analysis of temporal data: A case study with TDS and TCATA - Paula Varela (NOFIMA, Norway), Ingunn Berget (NOFIMA, Norway), John Castura (Compusense Inc., Canada), Michael Meyners (Procter & Gamble, Germany), Pascal Schlich (INRA, France), Gastón Ares (Universidad de la República, Uruguay)
15:30 - 16:30 Poster session + Coffee break
16:30 - 17:45 Oral Session 2 - Relating datasets
O2.1 - Impact of the questionnaire structure on overall liking results in preference mapping: a meta-analysis on 285 consumer studies - Nicolas Pineau (Nestlé Research Center, Switzerland)
O2.2 - Evaluation of different approaches of “Preference sorting”: a new tool for assessing drivers of liking - Ana Carla Pinheiro (Universidade Federal de Lavras, Brazil)
O2.3 - Mapping the experience of drinking. Using multiple factor analysis for contingency tables (MFACT) to understand the drinking experience of beers - Carlos Gómez-Corona (Universidad Autonoma Metropolitana, Mexico)
O2.4 - Boosted regression trees for exploring the relationship between sensory and physicochemical data: application to the astringency of Uruguayan Tannat wines - Leticia Vidal (Universidad de la República, Uruguay)
O2.5 - Main factors influencing portion-size selection using PLS Path Modelling approach - Quoc Cuong Nguyen (NOFIMA, Norway)
17:45 - 19:00 Anual General Meeting of the Sensometric Society

11th April

08:30 - 09:30 Invited speaker - Methods for analyzing information from social media. Case studies - Ricardo Mansilla (Universidad Nacional Autónoma Mexicana, Mexico)
9:30 - 10:00 Flash presentations
10:00 -10:30 Coffee break
10:30 - 12:00 Oral Session 3 - Data Collection
O3.1 - It's potato, not pear! Capturing the assimilation-contrast model through physiological responses and flavor identification - Betina Piqueras-Fiszman (Wageningen University, Netherlands)
O3.2 - Investigation of effects of situational contexts and consumer expectation on the perceptual product usage experience using spread products: Development of a new consumer test method based on Kano philosophy - Yeon-Joo Lee (Ewha Womans University, South Korea)
O3.3 - Refining consumer behavior (discrete choice and eye-tracking) and sensory acceptance measures: Effect of test instructions - Hye-Seong Lee (Ewha Womans University, South Korea)
O3.4 - Connecting flavors in social media: A cross cultural study with beer pairing - (Araceli Arellano-Covarrubias, Mexico)
O3.5 - A signal detection measurement for consumer product acceptance: Degree of satisfaction-difference (DOSD) method as an alternative to hedonic scaling - Danielle van Hout (Unilever R&D, Netherlands )
O3.6 - Comparison of panel performance and influence of feedback between replication sessions of an expert and a newly trained panel – a beer case study - Line Elgaard Nielsen (Aarhus University, Denmark)
12:00 - 13:30 Lunch
13:30 - 15:30 Joint workshop Society of Sensory Professionals and Sensometric Society - Mimicking consumer experience/designing relevant tests for the consumer experience - Chris Simons (Ohio State University, USA), Ann Colonna (Oregon State University, USA), Jana Hasemann (Mars Petcare, Germany), Krystyna Rankin (IFF, USA)
15:30 - 16:15 Oral Session 4 - Handling complexity
O4.1 - Powerful visualization of product-attribute associations for T-CATA data - Michael Meyners (Procter & Gamble, Germany)
O4.2 - Excel-Based, Order-Invariant Factor Score Calculator - Tom Carr (Carr Consulting, USA)
O4.3 - Liking Product Landscape: A new methodology for visualization of consumer hedonic scores - Claudia Nallely Sánchez-Gómez (Universidad Panamericana Aguascalientes, Mexico)
16:15 - 17:30 Oral Session 5 - Temporal methods
O5.1 - Time-Intensity profiling of wine models: analysis of variation among products and among panellists - Carolina Chaya (Universidad Politécnica de Madrid, Spain)
O5.2 - Evaluation of time intensity curves by bootstrap confidence intervals - Fernanda Barbosa (Universidade Federal de Lavras, Brazil)
O5.3 - Statistical approaches to analyze dynamic data: A comparative study using Temporal Check-All-That-Apply (TCATA), Temporal Dominance of Sensations (TDS) and Progressive Profile (PP) - Erick Esmerino (Universidade Federal Fluminense, Brazil)
O5.4 - Multiple-intake TDS with untrained consumers: new challenges for sensometrics! - Pascal Schlich (INRA, France)
O5.5 - Consumers can do dynamic liking and Temporal Dominance of Sensations (TDS) simultaneously as efficiently as separately - Mara Galmarini (CONICET, Argentina)
19:00 Gala Dinner

12th April

08:30 - 09:30 Invited speaker - Survival analysis and sensory shelf life: overview and recent developments - Guillermo Hough (Comisión de Investigaciones Científica, Argentina)
09:30-10:30 Oral Session 6 - Sensory characterization
O6.1 - How do small sample sets affect data analysis results of descriptive analysis? Pauline Lestringant (UC Davis,USA)
O6.2 - How to analyze CATA data that are used to characterize only one product? - Rui Xiong (The Coca-Cola Company, USA)
O6.3 - Focusing consumers responses by restricting the number of answers in a CATA test: further exploration of Check-k-that-apply - Paula Varela (NOFIMA, Norway)
O6.4 - What is the best way to analyse PSP data? Ingunn Berget (NOFIMA, Norway)
10:30 - 11:00 Coffee break
11:00 - 12:30 Workshop - Multiple comparison madness - Anne Hasted (Qi Statistics Ltd, UK) & Tom Carr (Carr Consulting, USA)
12:30 - 13:00 Closure
13:00 - 14:00 Lunch
14:00 - 18:00 Additional Event - Meeting of Latin American Researchers