0000000000893590

AUTHOR

Michel Visalli

showing 44 related works from this author

Multidimensional extension of the mixed assessor model

2014

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[STAT.ME] Statistics [stat]/Methodology [stat.ME][SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[STAT.ME]Statistics [stat]/Methodology [stat.ME]ComputingMilieux_MISCELLANEOUS
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Maternal weaning practices and their impact on infant's acceptance of new food

2010

Objective. The introduction of solid foods is a major step in the development of food behaviour. Previous studies showed that higher sensory variety in weaning period can later influence infant's acceptance of new food. The aim of the present study is (i) to describe precisely the different maternal weaning practices, (ii) to relate them with the individual mothers' and infants' characteristics, (iii) to study if these practices could impact infant's acceptance of new foods. Methods. Mothers (n=121) were requested to record each food proposed to their infant detailed from a sensory point of view and to score the level of its acceptance at the 4 first presentations. The beginning of the wean…

variety[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionfood acceptancedigestive oral and skin physiologyWeaninginfant[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Périurbanisation, ségrégation sociale et accès aux services publics

2008

L'objectif de ce rapport est, d'une part, de mesurer la ségrégation à l'échelle des aires urbaines françaises et de tester l'hypothèse selon laquelle le mouvement de périurbanisation, touchant plus particulièrement les familles de classes moyennes, entraîne une bipolarisation accrue dans les pôles urbains, et, d'autre part, d'évaluer dans quelles mesures l'offre de services publics suivant les mouvements de populations renforce la ségrégation en y ajoutant une dimension supplémentaire en termes d'accessibilité à ceux-ci. Nous avons ainsi pu montrer qu'effectivement la périurbanisation de certaines catégories sociales, les catégories intermédiaires en 1990 et les cadres en 1999, tend à renfo…

Zone urbaineFluxPopulation humainePeriurbanisationSégrégation sociale[ SHS.ECO ] Humanities and Social Sciences/Economies and financesService public[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SHS.ECO] Humanities and Social Sciences/Economics and FinanceLieu de résidenceEducation
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Multi-bites or multi-sips TDS with untrained subjects: A live demonstration on chocolates

2013

Workshop ; page d'accueil : http://www.pangborn2013.com/

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Modeling TDS data and segmenting consumers thanks to a mixture of semi-Markov processes

2018

International audience

semi-markov processesmixture model[SDV.AEN] Life Sciences [q-bio]/Food and NutritionTemporal Dominance of Sensations[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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The TDS-bands plot: a new graphical tool for Temporal Dominance of Sensations data

2010

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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A path analysis model: how liking for vegetables emerges in children

2014

A path analysis model is used to explain how preference for vegetables emerges before 2 years. It takes into account several determinants such as the child exposition, the child preferences for odors and flavors, as well as the parental behavior.

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionstructural equation modelpath analysismodèleapplication[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Collecting and analysing in vivo aroma release and perception by pairing nosespace PTR-ToF-MS and Temporal Dominance of Sensations

2015

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Développement des préférences pour les légumes dans la cohorte OPALINE : un modèle SEM pour intégrer les différents déterminants des préférences de l…

2013

Présentation orale ; https://intranet.inra.fr/alimh/vie_scientifique/did_it/seminaire_modelisation

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Monitoring panel performances with the Mixed Assessor Model. Meta-analysis of the SensoBase

2012

Monitoring panel performances with the Mixed Assessor Model. Meta-analysis of the SensoBase. The 11. Sensometrics meeting

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Maternal feeding practices during the first year and their impact on infants' acceptance of complementary food.

2013

Funding: Regional Council of Burgundy + Regional Council of IFR92 + Regional Council of PRNH-INRA-INSERM + Regional Council of the "ANR The French National Research Agency" under the Programme National de Recherche en Alimentation et nutrition humaine (ANR-06-PNRA-028 ) + Regional Council of Bledina, Nestle, Symrise, Cedus and Valrhona; International audience; The introduction of weaning foods is a major transition in the development of infants' eating behavior. Previous studies showed that greater variety at the beginning of the weaning period can later influence an infant's acceptance of new foods. The aim of the present study was to describe maternal feeding practices in the first year (…

2. Zero hunger0303 health sciencesPediatricsmedicine.medical_specialtyNutrition and Dietetics030309 nutrition & dieteticsEarly weaningbusiness.industry[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionAcceptance ratedigestive oral and skin physiologyBreastfeedingFood acceptanceComplementary food03 medical and health sciences0302 clinical medicinemedicineEating behaviorWeaning030212 general & internal medicinebusinessBreast feeding[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceDemography
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A multiple-response chi-square framework for the analysis of Free-Comment and Check-All-That-Apply data

2021

International audience; Free-Comment (FC) and Check-All-That-Apply (CATA) provide a contingency table containing citation counts of descriptors by products. The analyses performed on this table are most often related to the chi-square statistic. However, such practices are not well suited because they consider experimental units as being the citations (one descriptor for one product by one subject) while the evaluations (vector of citations for one product by one subject) should be considered instead. This results in incorrect expected frequencies under the null hypothesis of independence between products and descriptors and thus in an incorrect chi-square statistic. Thus, analyses related …

[SPI] Engineering Sciences [physics]030309 nutrition & dieteticsComputer sciencedimensionality testmultiple-response correspondence analysiscomputer.software_genremultiple-response dimensionality test of dependenceCorrespondence analysis[SHS]Humanities and Social Sciencescorrespondence analysis[SPI]Engineering Sciences [physics]multiple-response hypergeometric test03 medical and health sciences0404 agricultural biotechnologyChi-square testComputingMilieux_MISCELLANEOUSStatisticIndependence (probability theory)Contingency table0303 health sciencesNutrition and Dieteticscontingency tableMultiple-Response Correspondence Analysis (MR-CA)chi-square statistic04 agricultural and veterinary sciences040401 food scienceHypergeometric distribution[STAT]Statistics [stat][SDV.AEN] Life Sciences [q-bio]/Food and NutritionProduct (mathematics)[SHS] Humanities and Social SciencesData miningNull hypothesis[SDV.AEN]Life Sciences [q-bio]/Food and Nutritioncomputeranalysis of multiple-response dataFood ScienceFood Quality and Preference
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Should I use touchscreen tablets rather than computers and mice in TDS trials?

2016

International audience; Internet technologies are increasingly used as tools in sensory analysis. Thus, it would be a natural step forward for sensory science to move beyond the laboratory, into people's homes. Therefore, working with consumer IT devices like touchscreen tablets in sensory science should be taken into consideration. Working with the intuitive concept of dominance, Temporal Dominance of Sensations (TDS) requires a non-analytical answer from the subject. Using a touchscreen tablet instead of a classic mouse could reduce the cognitive load and favor a more instinctive answer. Indeed, it was proven that touch interaction is natural and efficient, and that finger pointing is fas…

Computer science[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionPointing devicePerformance gapcomputer.software_genreSensory analysislaw.invention0404 agricultural biotechnologyTouchscreenlawconsumption10. No inequalityTouchscreen tabletsTDStimeNutrition and DieteticsMultimediafood04 agricultural and veterinary sciencesConsumer040401 food science[SDV.AEN] Life Sciences [q-bio]/Food and NutritionYounger adultsSensory sciencemeals[SDV.AEN]Life Sciences [q-bio]/Food and NutritioncomputerCognitive loadtemporal dominancesensationsFood ScienceFood Quality and Preference
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Temporal drivers of liking

2013

Abstract Generally liking is measured overall but is likely to vary over the food intake, like sensory perception. Replacing the attributes in Temporal Dominance of Sensations (TDS) by the categories of a usual ordinal liking scale makes it possible to monitor liking changes while eating a product (Sudre et al., 2012). This methodology allows for a better understanding of the influence of temporal dominance of sensations on liking and liking evolution over the time of product intake. Thus, it is possible to associate hedonic temporal data and descriptive temporal data (TDS profiles), which would identify drivers of liking, that is attributes which, when cited as dominant, would lead to a de…

Food intake030309 nutrition & dieteticsmedia_common.quotation_subject[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionTemporal Dominance of Sensations (TDS)03 medical and health sciencesfresh cheese0404 agricultural biotechnologyMilk productsPerception[SDV.IDA]Life Sciences [q-bio]/Food engineeringpreferencepreferencesmedia_commontemporal liking2. Zero hunger0303 health sciencesNutrition and Dietetics[ SDV.IDA ] Life Sciences [q-bio]/Food engineering04 agricultural and veterinary sciences040401 food sciencePreferenceTemporal database[SDV.AEN] Life Sciences [q-bio]/Food and NutritionTemporal Drivers of Liking (TDL)Dominance (ethology)temporal dominance of sensationsWine tastingPsychologySocial psychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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Eating chocolate, smelling perfume or watching video advertisement: Does it make any difference on emotional states measured at home using facial exp…

2019

Type d'article : méthodologie, recherche et revue.; International audience; The recording of facial expressions allows for implicit measurement of emotional states over time. The present study investigated whether these recordings can be acquired, using computer webcams, when testing products at home. Three types of product spaces (chocolates, perfumes and video advertisements) were evaluated at home by 44 subjects using a facial expression measurement protocol. Each product space was composed of three products. The first objective examined the feasibility of such a home-based protocol. The second objective investigated whether several products in the same product space could be characteriz…

0303 health sciencesFacial expressionNutrition and Dietetics030309 nutrition & dieteticstemporal analysis[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/NeuroscienceAdvertising04 agricultural and veterinary sciencesProduct type040401 food science03 medical and health sciences[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition0404 agricultural biotechnologyhome used testfacial expression measurementsPsychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUSFood Scienceimplicit emotions
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Comparison of canonical variate analysis and principal component analysis on 422 descriptive sensory studies

2015

International audience; Although Principal Component Analysis (PCA) of product mean scores is most often used to generate a product map from sensory profiling data, it does not take into account variance of product mean scores due to individual variability. Canonical Variate Analysis (CVA) of the product effect in the two-way (product and subject) multivariate ANOVA model is the natural extension of the classical univariate approach consisting of ANOVAs of every attribute. CVA generates successive components maximizing the ANOVA F-criterion. Thus, CVA is theoretically more adapted than PCA to represent sensory data. However, CVA requires a matrix inversion which can result in computing inst…

Multivariate statisticsCVAPCANutrition and DieteticsComputer scienceUnivariateSenso BaseSensory systemCovarianceMeta-analysisStimulus modalityStatisticsPrincipal component analysis[SDV.IDA]Life Sciences [q-bio]/Food engineeringProduct topology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringAnalysis of varianceFood Science
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Estimating finite mixtures of semi-Markov chains: an application to the segmentation of temporal sensory data

2019

Summary In food science, it is of great interest to obtain information about the temporal perception of aliments to create new products, to modify existing products or more generally to understand the mechanisms of perception. Temporal dominance of sensations is a technique to measure temporal perception which consists in choosing sequentially attributes describing a food product over tasting. This work introduces new statistical models based on finite mixtures of semi-Markov chains to describe data collected with the temporal dominance of sensations protocol, allowing different temporal perceptions for a same product within a population. The identifiability of the parameters of such mixtur…

futureStatistics and ProbabilityFOS: Computer and information sciencesGamma distributionmiceComputer sciencemedia_common.quotation_subjectPopulationdominancecomputer.software_genreStatistics - Applications01 natural sciencesMethodology (stat.ME)modelsExpectation-maximization algorithmModel-based clustering010104 statistics & probability0404 agricultural biotechnology[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Bayesian information criterionPerceptionExpectation–maximization algorithmApplications (stat.AP)Temporal dominance of sensations[MATH]Mathematics [math]0101 mathematicseducationStatistics - Methodologymedia_common2. Zero hungereducation.field_of_studyMarkov chainMarkov renewal processStatistical model04 agricultural and veterinary sciencesidentifiabilityMixture modelBayesian information criterion040401 food science[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]IdentifiabilityPenalized likelihoodData miningStatistics Probability and UncertaintycomputertdsCategorical time seriessensations
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The MAM-CAP table: A new tool for monitoring panel performances

2014

Abstract Assessor performances in sensory analysis are usually represented by three indicators: repeatability, discrimination and agreement. However, assessors can also differ on the range of their scores, the so-called “scaling effect”. Brockhoff, Schlich, and Skovgaard (2013) proposed the mixed assessor model (MAM) which, as the original assessor model ( Brockhoff & Skovgaard, 1994 ), takes this effect into account, but also allows for the product effect to be tested against a new interaction free of the scaling effect. The present paper proposes a unified system for monitoring assessor and panel performances based on the MAM. In addition to the product effect (tested at panel and individ…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsComputer science[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionscalingpanel performance04 agricultural and veterinary sciencesRepeatabilitymixed assessor model040401 food scienceSensory analysisUnified system03 medical and health sciences0404 agricultural biotechnologyScaling effectStatisticsRange (statistics)Table (database)Scaling[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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Canonical Variate Analysis of Sensory Profiling Data

2015

Principal Component Analysis (PCA) of product mean scores is generally used to obtain a product map from sensory profiling data. However, this approach does not take into account the variance of the product mean scores due to the individual panelist variability. Therefore, Canonical Variate Analysis (CVA) of the product effect in the two-way multivariate analysis of variance (MANOVA) should be considered as a natural alternative analysis to PCA. Indeed, it is the extension of the classical univariate approach used for the analysis of each descriptor separately. This analysis generates successive components maximizing product discrimination as measured by the usual Fisher statistics in analy…

0303 health sciences030309 nutrition & dieteticsComputer scienceUnivariateSensory system04 agricultural and veterinary sciences040401 food scienceSensory analysisSensory Systems03 medical and health sciences0404 agricultural biotechnologyCanonical variate analysisMultivariate analysis of varianceStatisticsPrincipal component analysisProfiling (information science)Analysis of varianceFood ScienceJournal of Sensory Studies
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Static vs. dynamic liking in chewing gum: a new approach using a background task and a natural setting

2013

Fil: Galmarini, Mara Virginia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Galmarini, Mara Virginia. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina Fil: Symoneaux, R. Universidad de Nantes Angers Le Mans; Francia Fil: Visalli, Michel. Centro de Ciencias de los Alimentos y el Sabor; Francia Fil: Zamora, María Clara. Pontificia Universidad Católica Argentina. Facultad de Ciencias Agrarias; Argentina Fil: Zamora, María Clara. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Schlich, Pascal. Centro de Ciencias de los Alimentos y el Sabor; Francia Abstract: Chewing gum is a particular product, consumed …

GOMA DE MASCAROtras Ingenierías y Tecnologías[ SDV.AEN ] Life Sciences [q-bio]/Food and NutritionCHICLEIn-home testDynamicSample (statistics)MASTICACIONimplicit memoryfood choiceINGENIERÍAS Y TECNOLOGÍASPreferenceTask (project management)Alimentos y BebidasCONSUMIDORES[SDV.IDA]Life Sciences [q-bio]/Food engineeringNatural (music)Product (category theory)real-lifeprimingConsumption (economics)InternetNutrition and DieteticsChewing gumPreference[SDV.AEN] Life Sciences [q-bio]/Food and NutritionRankingConsumersPsychologySocial psychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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Multiplicative decomposition of the scaling effect in the Mixed Assessor Model into a descriptor-specific and an overall coefficients

2016

Abstract In 1994, Brockhoff and Skovgaard presented the so-called assessor model, including a “scaling coefficient” expressing the predisposition of a panelist to spread more or less his scores than the panel on a given sensory descriptor. This paper discusses potential scaling causes, and then proposes a decomposition of the scaling coefficient into two components: (i) an overall scaling coefficient, independent of the descriptors, expressing a psychological trend of the panelist towards the scoring task in general; (ii) a corrected scaling coefficient for each descriptor, expressing specific sensitivity of the panelist to the descriptor. Applied to 187 sensory datasets, this decomposition…

0301 basic medicine030109 nutrition & dieteticsNutrition and Dietetics[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionscaling04 agricultural and veterinary sciencesmixed assessor modelDecomposition analysis040401 food sciencemeta-analysis03 medical and health sciences0404 agricultural biotechnologyStimulus modalityScaling effectStatisticssensometricsScalingsensobase[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceMathematics
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Creation of a food taste database using an in-home "taste" profile method

2014

International audience; The purpose of this study was to create a food 'taste' database using an innovative in-home profile method. The five basic tastes and fat sensation were studied. The proposed method consisted in an intensive training in laboratory (55 h, 5 months) immediately followed by an in-home measurements phase (8 months) during which 12 trained panelists had to evaluate the five tastes and fat sensation of the foods they typically consumed. The rating scales were inspired by scales used in the Spectrum (TM) method. During the in-home measurement phase, ratings were reported thanks to a web-based tool and each month the panelists returned to the laboratory for a 2-h retraining …

Taste030309 nutrition & dieteticsmedia_common.quotation_subjectSensory systemSensory profilecomputer.software_genreSession (web analytics)Database03 medical and health sciences0404 agricultural biotechnologyFat sensationRating scalePerceptionSensation[SDV.IDA]Life Sciences [q-bio]/Food engineering[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringIn-home methodmedia_common2. Zero hunger0303 health sciencesNutrition and DieteticsDatabaseBasic tastesRetrainingSensory profile04 agricultural and veterinary sciences040401 food sciencePsychologycomputerFood Science
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Complementary feeding: what, when and how in OPALINE mothers? Consequences on infant's food acceptance.

2012

National audience; The introduction of weaning foods is a major transition in the development of infants’ eating behavior. Previous studies showed that greater variety at the beginning of the weaning period can later influence an infant’s acceptance of new foods. The aim of the present study was to describe maternal feeding practices in the first year (breastfeeding duration, age at the initiation of weaning, variety of new foods introduced) and to study whether they impacted infants’ later acceptance of new foods in a longitudinal survey of French children’s eating behavior. Mothers (n = 203) were asked to record each food offered to their infants from the beginning of the weaning period t…

[SDV] Life Sciences [q-bio][SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV ] Life Sciences [q-bio]breastfeedingweaningfood variety[SDV]Life Sciences [q-bio]digestive oral and skin physiologynew food acceptance[SDV.AEN]Life Sciences [q-bio]/Food and Nutritioninfantcomplementary feeding
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TimeSens - un logiciel Web pour l'acquisition et le traitement des données sensorielles

2010

TimeSens est un nouveau logiciel dédié à l'acquisition et au traitement des données d'analyse sensorielle. TimeSens bénéficie de l'expérience et de l'expertise de ChemoSens, la plate-forme d'analyse sensorielle du CSGA. TimeSenspropose la plupart des protocoles standards de l'analyse sensorielle (profil, tests hédoniques, DTS), ainsi que des protocoles originaux (MATI, PSP). Les résultats collectés peuvent être analysés à l'aide de méthodes statistiques traditionnelles ou innovantes.

timesensanalyse sensorielle[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[STAT.AP] Statistics [stat]/Applications [stat.AP]logicielinternet
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The effect of gender, age and smoking status on use of scale, repeatability, product discrimination and agreement with the panel investigated in 177 …

2015

The effect of gender, age and smoking status on use of scale, repeatability, product discrimination and agreement with the panel investigated in 177 descriptive sensory studies. 11. Pangborn sensory science symposium

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[STAT.CO]Statistics [stat]/Computation [stat.CO][STAT.CO] Statistics [stat]/Computation [stat.CO][SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[ STAT.CO ] Statistics [stat]/Computation [stat.CO]
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Indexes of individual and panel performances in TDS and TCATA and their statistical inference

2019

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Should I replace replicates by additional subjects in my trained descriptive sensory panel?

2015

Should I replace replicates by additional subjects in my trained descriptive sensory panel?. 11. Pangborn sensory science symposium

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritioneducation[STAT.CO]Statistics [stat]/Computation [stat.CO][STAT.CO] Statistics [stat]/Computation [stat.CO][SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[ STAT.CO ] Statistics [stat]/Computation [stat.CO]reproductive and urinary physiologyhealth care economics and organizationshumanities
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Time periods segmentation in TDS and TCATA

2021

International audience

[STAT]Statistics [stat][SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS[STAT] Statistics [stat]
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The subject effect in descriptive analysis: fixed or random? An old question revisited thanks to 697 datasets from the sensobase

2015

The subject effect in descriptive analysis: fixed or random? An old question revisited thanks to 697 datasets from the sensobase. 11. Pangborn sensory science symposium

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[STAT.CO]Statistics [stat]/Computation [stat.CO][SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[STAT.CO] Statistics [stat]/Computation [stat.CO][ STAT.CO ] Statistics [stat]/Computation [stat.CO]
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Utilisation de la Dominance temporelle des sensations pour la caractérisation sensorielle des produits de la filière blé-farine-pain

2012

Eurogerm is specialized in flour correctors, bread improvers and technological ingredients for the wheat, flour and bread sector. The company gives great importance to sensory analysis as a diagnostic tool of finished products and has four expert panels; each panel is specialized in one category of products and is trained to standard sensory profiling. Today, in addition to the traditional method, Eurogerm wants to explore new methods in order to offer new services to its customers. This paper describes the development of Temporal Dominance of Sensations (TDS) created in the “Centre des Sciences du Goût et de l’Alimentation” (CSGA) (PINEAU et al., 2009). TDS provides information on the perc…

analyse sensorielledominance temporelle des sensations (DTS)[SDV.AEN] Life Sciences [q-bio]/Food and Nutritiondynamic of perceptiontemporal dominance of sensations (TDS)[SDV.AEN]Life Sciences [q-bio]/Food and Nutritiondynamique de la perceptionexpert paneljury expert
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Sensory evaluation with consumers revisited thanks to Free-Comment

2021

International audience

open-ended questions[SPI]Engineering Sciences [physics][SDV.AEN] Life Sciences [q-bio]/Food and Nutritionstability of sensory data[SPI] Engineering Sciences [physics]ideal product[SHS] Humanities and Social Sciences[SDV.AEN]Life Sciences [q-bio]/Food and Nutritiontemporal sensory analysismultiple-response correspondence analysis (MR-CA)ComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciences
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Peri-urban development, residential segregation and access to public service

2008

Plan Urbanisme Construction Architecture (PUCA) ; Ministère de l'écologie, du développement et de l'aménagement durables; National audience; L'objectif de ce rapport est, d'une part, de mesurer la ségrégation à l'échelle des aires urbaines françaises et de tester l'hypothèse selon laquelle le mouvement de périurbanisation, touchant plus particulièrement les familles de classes moyennes, entraîne une bipolarisation accrue dans les pôles urbains, et, d'autre part, d'évaluer dans quelles mesures l'offre de services publics suivant les mouvements de populations renforce la ségrégation en y ajoutant une dimension supplémentaire en termes d'accessibilité à ceux-ci. Nous avons ainsi pu montrer qu'…

[SHS] Humanities and Social Sciences[SHS]Humanities and Social Sciences
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Attack-Evolution-Finish: a new method allowing for temporal product description thanks to Free-Comment with consumers

2021

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition
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Food preferences for fat and sweet: Insights from an exploratory study including 696 consumers from 7 to 80 years old

2009

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
researchProduct

Description of maternal feeding practices and their impact on infant’s acceptance of new foods

2013

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Free comment using speech recognition: an alternative to Check-All-That-Apply for sensory characterization of red wines at home

2019

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SCCO.PSYC]Cognitive science/Psychology[SCCO.PSYC] Cognitive science/Psychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Site internet du projet Prefbase (www.prefbase.fr)

2009

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition
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TimeSens, a Web-based sensory software for Temporal Dominance of Sensations

2011

TimeSens, a Web-based sensory software for Temporal Dominance of Sensations. 9. Pangborn sensory science symposium

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritiondominance temporelle des sensationssoftwareComputerApplications_MISCELLANEOUS[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionlogicielapplication web[SDV.AEN]Life Sciences [q-bio]/Food and NutritionGeneralLiterature_MISCELLANEOUS
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Oral sphere: salivary markers and food. A prospective study on children expressing oral disorders

2014

National audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Having cheese with wine… always a good idea! A sensory proof based on the use of Temporal Dominance of Sensations (TDS)

2016

Having cheese with wine… always a good idea! A sensory proof based on the use of Temporal Dominance of Sensations (TDS). Oenométrie XXIII

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Evaluation of the validity of temporal sensory evaluation methods carried out by consumers on controlled stimuli delivered by a gustometer

2023

Temporal sensory evaluation is increasingly used with consumers. However, very few studies have investigated the repeatability and resolution of the methods used. Thus, this study aimed to fill in the gap by comparing the conclusions drawn from data collected using three temporal sensory methods performed with consumers on time model solutions delivered using a gustometer. One hundred and fifty consumers were recruited. After familiarization and a recognition task, they were divided into 3 panels, each using a different method to describe their temporal perception: Temporal Dominance of Sensations (TDS), Temporal Check-All-That-Apply (TCATA), and Attack-Evolution-Finish (AEF). Fourteen solu…

gustometer[SDV.AEN] Life Sciences [q-bio]/Food and NutritionTCATAAEFDTS
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Modeling temporal dominance of sensations data with stochastic processes

2018

National audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionlikelihoodconsumer segmentationTemporal Dominance of Sensations[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUSsemi-markov chains
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Description of maternal feeding practices and their impact on infant's acceptance of new foods

2011

International audience

[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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Creation of a food taste database using an in-home profile method

2013

Poster (1 page) ; http://www.pangborn2013.com/; International audience; The purpose of this study was to create a food taste database using an innovative in-home profile method and to have an overview on the sensory sapid world we face in our diet. The intensity of salty, sweet, acid and bitter tastes were scored using universal scales proposed within the Spectrum™ method (Muñoz and Civille, 1992) and newly developed scales for umami taste and fattiness. The in-home taste profile method was composed of two phases. The first phase consisted in an intensive training in laboratory (55 h). The second one was the in-home measurements phase (8 months) during which 12 panellists had to rate the ta…

taste[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionfattinessdigestive oral and skin physiologyspectrum™ methodfood taste database[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionin-home sensory profile
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