Programme for Sensometrics online 2020

NOTE: Sensometrics 2020 will be an online conference due to the COVID-19 pandemic. Participation need to be confirmed by all speakers before program is final. The programme can be subject to changes.

All times in this schedule are given in Central European Time.

October 6: Day 1

16:00-16:15    Welcome. Practical information

16:15-16:45    Invited speaker Harald Martens:

“Quantitative Intuition: Combining prior knowledge and big data“.

16:45-17:15    Flash presentations

F1.1 Can children use temporal check-all-that-apply (TCATA) and temporal dominance of sensations (TDS)? Ana Laura Velázquez

F1.2 Taste Biases: Confounding Sensory and Label Evaluations for Yogurt. Emma Boase

F1.3 Analysing time intervals of TCATA citation rates using linear mixed model ANOVA. Jonas Yde Junge

F1.4 Common problems in the experimental design of sensory tests in agricultural studies and recommended solutions. Masoumeh Bejaei

F1.5 Do we look at chocolate labels differently when deciding on purchasing, liking or healthiness? An eye-tracking study. A. Tarrega

F1.6 Understanding large scale production through statistically based experimental designs and descriptive sensory profiling. Samuel Heenan

 

17:15-17:45    Break

 

17:45-18:45    Session 1: Individual differences and consumer segmentation – part 1

O1.1 Combining hedonic information and CATA description for consumer segmentation: new methodological proposals and comparison. Evelyne Vigneau

O1.2 Do consumers focus on the same terms in a CATA task? Thierry Worch

O1.3 Determination of the number of clusters of subjects in Projective Mapping, Free Sorting and CATA experiments. Fabien Llobell

O1.4 Influence of ticking style on the validity of CATA data with 6-9-year-old children .Martina Galler

 

18:45-18:55    Break

 

18:55-19:55 Session 2: Textmining and network analysis

O2.1 Crowdsourcing consumer research: Understanding the importance of restaurant atmosphere via text mining and sentiment analysis of restaurant reviews in a large Yelp dataset. Qian Janice Wang

O2.2 Sorting Backbone Analysis: A network-based method of extracting key actionable information from free-sorting task results. Jacob Lahne

O2.3 How to Use a Graph Database to Extract Insights from Diverse Historical Sensory and Consumer Data: A Step-By-Step Use-Case. Alex M. Pierce-Feldmeyer

O2.4 Why Graph Databases Are the Answer to the Question, “What Should We Do with Our Historical Data?” John Ennis

19:55-20:00 Round up

October 7: Day 2

16:00-16:05    Welcome and information on practical aspects

 

16:05-16:35    Invited speaker: Marieke E. Timmerman:

“Segmentation with complex data: Arriving at an insightful representation” 

 

16:35-17:05    Flash presentations

F2.1 Virtual reality environments on the perception, sensory acceptability and emotional responses towards wine. Damir Torrico

F2.2 The measurement of sensory dominance and panelist performance during the oral processing of fluid foods using functional data analysis. Brian Guthrie

F2.3 Connecting Trained-Panel Degree of Difference to Other Discrimination Methods. Katie Osdoba

F2.4 Taste versus reputation: the impact of sensory evaluation on consumers' preferences for pomegranate arils. Samuele Trestini

F2.5 Sensory Detection of Wine Faults Over Time Using Flash Profiling and the Electronic Tongue. Victoria Paupl

F2.6 Consensual model of data processing based on the blockchain approach for sensory data. Vladimir Vietoris

17:05-17:35    Break

 

17:35-18:50    Session 3: Individual differences and consumer segmentation – part 2

O3.1 Mixed Assessor Model for Scheffe type paired comparison data. Hironori Satomura

O3.2 Sensory profile optimization through preference distribution prediction for target demographics and consumer cohorts. Jason Cohen

O3.3 Global Data Set Segmentation: The Impact of Our Pre-Clustering. Michael Gasho

O3.4 Is Aggregate Survey Data a Misleading Representation of Individual Behavior? Patti Wojnicz

O3.5 Understanding Consumers by Clustering – Successes, Problems and Pitfalls. Anne Hasted

18:50-19:00    Break

 

19:00-19:45    Session 4: Modelling multiblock data sets

O4.1 The SO-PLS (sequential and orthogonalized PLS) for path modelling; method, relation to graphical modelling and applications. Tormod Næs

O4.2 A Sensory-Economic Approach to Estimating Vegetable Preferences within Networks. Clinton Neill

19:45:19:50 Round up

 

October 8: Day 3

16:00-16:05    Welcome and information

16:05-16:35    Invited speaker: Michael Meyners

“Controversy regarding relevance and rigor of Sensometrics for industrial applications”

 

16:35-17:50    Session 5: Analysing data from temporal and emerging methods

O5.1 A flavor map: understanding flavor pairing through projective mapping. Araceli Arellano-Covarrubias

O5.2 Implicit and explicit validation of panelist engagement during sensory testing. Mackenzie Hannum

O5.3 Identifying temporal drivers based on temporal sensory descriptions and overall consumer expectations. Quoc Cuong Nguyen

O5.4 Statistical inference for TDS data modeled by Semi-Markov processes. Cindy Frascolla

O5.5 On statistical methods for TDS data analysis: Consideration about characteristics of each panelist and each taste. Sumito Kurata

17:50-18:20    Break

 

18:20-19:35: Session 6:  Getting more out of sensory and consumer data

O6.1 Men, masculinity, and flavors: A multidimensional social representation. Carlos Gómez-Corona

O6.2 The Analysis of Top Box Data from Consumer Tests. Ann Colonna

O6.3 Less data, same relevance: Optimizing paired comparisons sensory evaluation. Julien Rogues

O6.4 Going deeper in the analysis of contingency tables: application to Check-All-That-Apply and Free-Comment data. Benjamin Mahieu

O6.5 CATARACT, a new procedure to evaluate the quality of CATA data. Thierry Fahmy

19:35-20:00    Closing remarks

 

October 9: Day 4 – Workshops

16:00-16:05 Information on organisation

16:05-17:05    Applying Text Mining Methods for Sensory Evaluation Research

Organizers: Sébastien Lê, Jacob Lahne

Participants: Sébastien Lê, Anne Hasted, Jacob Lahne, Alexiane Luc, Benjamin Mahieu, Leticia Vidal

Facilitator: Jean A McEwan

 

17:05 – 17:35 Break

 

17:35-18:35    Joint SSP and sensometrics workshop: 

Artificial Intelligence in Sensory practice: Separating Promise from Hype

Lead by Rafal Drabek

Participants: Amanda Grzeda, John Ennis, Leah Hamilton

 

18:35-18:45 Closing and end of workshop day

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