0000000000768680

AUTHOR

Benjamin Mahieu

showing 8 related works from this author

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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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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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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Free-comment data collection and analysis revisited and new tools in correspondence analysis

2020

International audience; Free-Comment (FC), as a response to open-ended questions, provides sensory descriptions of a set of products with no issue due to a predefined list of descriptors as in Check-All-That-Apply (CATA).Performances (discrimination, characterization, stability, etc.) of the FC methodology as a method of sensory characterization of products have been poorly documented and FC has rarely been compared to other methodologies of sensory characterization. Further, the use of FC is usually restricted to static sensory descriptions of the products with few considerations given to temporal description, hedonic appreciation and drivers of liking.FC data is frequency data and as such…

[STAT]Statistics [stat][SDV.AEN] Life Sciences [q-bio]/Food and Nutrition[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[STAT] Statistics [stat]
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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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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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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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Sensory analysis with consumers using Free-Comment : analyses, performances and extensions

2021

Free-Comment (FC) consists in panelists describing the products using their own terms. Despite its benefits, notably the circumvention of limitations inherent to pre-established lists of sensory descriptors, FC remains rarely used because its performances are not well documented and its analyses and range of application remain limited. This thesis aims to overpass these limitations, highlighting the benefits and the potency of FC and thus put it in the spotlight for sensory analysis with consumers.For the pretreatment of FC data, a semi-automatized procedure is proposed. It enables the practitioners to extract an a posteriori list of sensory descriptors with a compromise between minimizing …

Consumer studiesQuestions ouvertesAnalyse sensorielleSensométrieOpen-Ended questionsSensometricsEtudes consommateursSensory analysisCommentaire LibreFree-Comment[STAT.OT] Statistics [stat]/Other Statistics [stat.ML]
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