Sensory evaluation of automotive fabrics: the contribution of categorization tasks and non verbal information to set-up a descriptive method of tactile properties
Identifieur interne :
000E21 ( PascalFrancis/Corpus );
précédent :
000E20;
suivant :
000E22
Sensory evaluation of automotive fabrics: the contribution of categorization tasks and non verbal information to set-up a descriptive method of tactile properties
Auteurs : Agnès Giboreau ;
Séverine Navarro ;
Pauline Faye ;
Jacqueline DumortierSource :
-
Food quality and preference [ 0950-3293 ] ; 2001.
RBID : Pascal:01-0424420
Descripteurs français
- Pascal (Inist)
- Tissu textile,
Sensibilité tactile,
Perception sensorielle,
Analyse sensorielle,
Méthodologie,
Industrie automobile,
Automobile,
Equipement,
Réaction utilisateur,
Interface,
Evaluation.
English descriptors
- KwdEn :
- Automobile industry,
Equipment,
Evaluation,
Interface,
Methodology,
Motor car,
Sensorial perception,
Sensory analysis,
Tactile sensitivity,
User reaction,
Woven material.
Abstract
The works reported here show the selected approach used to build a powerful descriptive method of the touch of fabrics. First, naive consumers were asked to make classes of fabrics among 26 samples, based on their tactile similarities. MDS mapping showed a four-dimension perceptual space and the cluster analysis determined nine classes of typical touches, from which one exemplar was extracted for the following step. Second, internal experts from the textile domain were asked to describe the touch characteristics of these typical fabrics; they were also filmed while interviewed. Correspondence analysis and visioning of videos allowed us to identify the vocabulary and gestures used by experts for tactile description. Third, this information was used by the panel leader to drive the training sessions of the descriptive panel. The profile included nine terms and was applied to the analysis of 14 velvet-like fabrics. ANOVA and PCA results showed good panel performance and good discrimination of samples. Thus, the proposed complementary approach combining different tasks and different levels of expertise can be considered as a powerful methodology to successfully set-up accurate sensory profiling methods.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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| A01 | 01 | 1 | | @0 0950-3293 |
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| A03 | | 1 | | @0 Food qual. prefer. |
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| A05 | | | | @2 12 |
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| A06 | | | | @2 5-7 |
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| A08 | 01 | 1 | ENG | @1 Sensory evaluation of automotive fabrics: the contribution of categorization tasks and non verbal information to set-up a descriptive method of tactile properties |
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| A09 | 01 | 1 | ENG | @1 Fifth Sensometrics Meeting, Columbia, Missouri, 9-11 July 2000 |
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| A11 | 01 | 1 | | @1 GIBOREAU (Agnès) |
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| A11 | 02 | 1 | | @1 NAVARRO (Séverine) |
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| A11 | 03 | 1 | | @1 FAYE (Pauline) |
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| A11 | 04 | 1 | | @1 DUMORTIER (Jacqueline) |
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| A12 | 01 | 1 | | @1 HEYMANN (Hildegarde) @9 ed. |
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| A12 | 02 | 1 | | @1 POPPER (Richard D.) @9 ed. |
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| A14 | 01 | | | @1 PSA Peugeot Citroën, DRIA/SARA/PVFH, 2 route de Gisy @2 78943 Vélizy @3 FRA @Z 1 aut. @Z 2 aut. |
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| A14 | 02 | | | @1 LORE, 11, Boulevard Pershing @2 75017 Paris @3 FRA @Z 3 aut. |
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| A14 | 03 | | | @1 Trèves, Centre R&D, 5 rue E.Arquès @2 51686 Reims @3 FRA @Z 4 aut. |
|---|
| A15 | 01 | | | @1 Peryam & Kroll Research Corporation, 3033 W. Parker Road Suite 217 @2 Plano, TX 75023 @3 USA @Z 2 aut. |
|---|
| A15 | 02 | | | @1 University of Missouri, 215 Agricultural Engineering @2 Columbia, MO 65211 @3 USA @Z 1 aut. |
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| A20 | | | | @1 311-322 |
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| A21 | | | | @1 2001 |
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| A23 | 01 | | | @0 ENG |
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| A43 | 01 | | | @1 INIST @2 21968 @5 354000098624270040 |
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| A44 | | | | @0 0000 @1 © 2001 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 10 ref. |
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| A47 | 01 | 1 | | @0 01-0424420 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 Food quality and preference |
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| A66 | 01 | | | @0 GBR |
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| C01 | 01 | | ENG | @0 The works reported here show the selected approach used to build a powerful descriptive method of the touch of fabrics. First, naive consumers were asked to make classes of fabrics among 26 samples, based on their tactile similarities. MDS mapping showed a four-dimension perceptual space and the cluster analysis determined nine classes of typical touches, from which one exemplar was extracted for the following step. Second, internal experts from the textile domain were asked to describe the touch characteristics of these typical fabrics; they were also filmed while interviewed. Correspondence analysis and visioning of videos allowed us to identify the vocabulary and gestures used by experts for tactile description. Third, this information was used by the panel leader to drive the training sessions of the descriptive panel. The profile included nine terms and was applied to the analysis of 14 velvet-like fabrics. ANOVA and PCA results showed good panel performance and good discrimination of samples. Thus, the proposed complementary approach combining different tasks and different levels of expertise can be considered as a powerful methodology to successfully set-up accurate sensory profiling methods. |
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| C02 | 01 | X | | @0 002B29C02 |
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| C03 | 01 | X | FRE | @0 Tissu textile @5 01 |
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| C03 | 01 | X | ENG | @0 Woven material @5 01 |
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| C03 | 01 | X | SPA | @0 Tela textil @5 01 |
|---|
| C03 | 02 | X | FRE | @0 Sensibilité tactile @5 02 |
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| C03 | 02 | X | ENG | @0 Tactile sensitivity @5 02 |
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| C03 | 02 | X | SPA | @0 Sensibilidad tactil @5 02 |
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| C03 | 03 | X | FRE | @0 Perception sensorielle @5 10 |
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| C03 | 03 | X | ENG | @0 Sensorial perception @5 10 |
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| C03 | 03 | X | SPA | @0 Percepción sensorial @5 10 |
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| C03 | 04 | X | FRE | @0 Analyse sensorielle @5 19 |
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| C03 | 04 | X | ENG | @0 Sensory analysis @5 19 |
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| C03 | 04 | X | SPA | @0 Análisis sensorial @5 19 |
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| C03 | 05 | X | FRE | @0 Méthodologie @5 20 |
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| C03 | 05 | X | ENG | @0 Methodology @5 20 |
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| C03 | 05 | X | SPA | @0 Metodología @5 20 |
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| C03 | 06 | X | FRE | @0 Industrie automobile @5 24 |
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| C03 | 06 | X | ENG | @0 Automobile industry @5 24 |
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| C03 | 06 | X | SPA | @0 Industria automóvil @5 24 |
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| C03 | 07 | X | FRE | @0 Automobile @5 26 |
|---|
| C03 | 07 | X | ENG | @0 Motor car @5 26 |
|---|
| C03 | 07 | X | SPA | @0 Automóvil @5 26 |
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| C03 | 08 | X | FRE | @0 Equipement @5 28 |
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| C03 | 08 | X | ENG | @0 Equipment @5 28 |
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| C03 | 08 | X | SPA | @0 Equipo @5 28 |
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| C03 | 09 | X | FRE | @0 Réaction utilisateur @5 29 |
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| C03 | 09 | X | ENG | @0 User reaction @5 29 |
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| C03 | 09 | X | SPA | @0 Reacción utilizador @5 29 |
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| C03 | 10 | X | FRE | @0 Interface @5 30 |
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| C03 | 10 | X | ENG | @0 Interface @5 30 |
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| C03 | 10 | X | SPA | @0 Interfase @5 30 |
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| C03 | 11 | X | FRE | @0 Evaluation @5 31 |
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| C03 | 11 | X | ENG | @0 Evaluation @5 31 |
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| C03 | 11 | X | SPA | @0 Evaluación @5 31 |
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| N21 | | | | @1 295 |
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| pR |
| A30 | 01 | 1 | ENG | @1 Sensometrics Meeting @2 5 @3 Columbia, Missouri USA @4 2000-07-09 |
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Format Inist (serveur)
| NO : | PASCAL 01-0424420 INIST |
|---|
| ET : | Sensory evaluation of automotive fabrics: the contribution of categorization tasks and non verbal information to set-up a descriptive method of tactile properties |
|---|
| AU : | GIBOREAU (Agnès); NAVARRO (Séverine); FAYE (Pauline); DUMORTIER (Jacqueline); HEYMANN (Hildegarde); POPPER (Richard D.) |
|---|
| AF : | PSA Peugeot Citroën, DRIA/SARA/PVFH, 2 route de Gisy/78943 Vélizy/France (1 aut., 2 aut.); LORE, 11, Boulevard Pershing/75017 Paris/France (3 aut.); Trèves, Centre R&D, 5 rue E.Arquès/51686 Reims/France (4 aut.); Peryam & Kroll Research Corporation, 3033 W. Parker Road Suite 217/Plano, TX 75023/Etats-Unis (2 aut.); University of Missouri, 215 Agricultural Engineering/Columbia, MO 65211/Etats-Unis (1 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Food quality and preference; ISSN 0950-3293; Royaume-Uni; Da. 2001; Vol. 12; No. 5-7; Pp. 311-322; Bibl. 10 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | The works reported here show the selected approach used to build a powerful descriptive method of the touch of fabrics. First, naive consumers were asked to make classes of fabrics among 26 samples, based on their tactile similarities. MDS mapping showed a four-dimension perceptual space and the cluster analysis determined nine classes of typical touches, from which one exemplar was extracted for the following step. Second, internal experts from the textile domain were asked to describe the touch characteristics of these typical fabrics; they were also filmed while interviewed. Correspondence analysis and visioning of videos allowed us to identify the vocabulary and gestures used by experts for tactile description. Third, this information was used by the panel leader to drive the training sessions of the descriptive panel. The profile included nine terms and was applied to the analysis of 14 velvet-like fabrics. ANOVA and PCA results showed good panel performance and good discrimination of samples. Thus, the proposed complementary approach combining different tasks and different levels of expertise can be considered as a powerful methodology to successfully set-up accurate sensory profiling methods. |
|---|
| CC : | 002B29C02 |
|---|
| FD : | Tissu textile; Sensibilité tactile; Perception sensorielle; Analyse sensorielle; Méthodologie; Industrie automobile; Automobile; Equipement; Réaction utilisateur; Interface; Evaluation |
|---|
| ED : | Woven material; Tactile sensitivity; Sensorial perception; Sensory analysis; Methodology; Automobile industry; Motor car; Equipment; User reaction; Interface; Evaluation |
|---|
| SD : | Tela textil; Sensibilidad tactil; Percepción sensorial; Análisis sensorial; Metodología; Industria automóvil; Automóvil; Equipo; Reacción utilizador; Interfase; Evaluación |
|---|
| LO : | INIST-21968.354000098624270040 |
|---|
| ID : | 01-0424420 |
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Links to Exploration step
Pascal:01-0424420
Le document en format XML
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<term>Equipment</term>
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<term>Interface</term>
<term>Methodology</term>
<term>Motor car</term>
<term>Sensorial perception</term>
<term>Sensory analysis</term>
<term>Tactile sensitivity</term>
<term>User reaction</term>
<term>Woven material</term>
</keywords><keywords scheme="Pascal" xml:lang="fr"><term>Tissu textile</term>
<term>Sensibilité tactile</term>
<term>Perception sensorielle</term>
<term>Analyse sensorielle</term>
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<term>Industrie automobile</term>
<term>Automobile</term>
<term>Equipement</term>
<term>Réaction utilisateur</term>
<term>Interface</term>
<term>Evaluation</term>
</keywords><front><div type="abstract" xml:lang="en">The works reported here show the selected approach used to build a powerful descriptive method of the touch of fabrics. First, naive consumers were asked to make classes of fabrics among 26 samples, based on their tactile similarities. MDS mapping showed a four-dimension perceptual space and the cluster analysis determined nine classes of typical touches, from which one exemplar was extracted for the following step. Second, internal experts from the textile domain were asked to describe the touch characteristics of these typical fabrics; they were also filmed while interviewed. Correspondence analysis and visioning of videos allowed us to identify the vocabulary and gestures used by experts for tactile description. Third, this information was used by the panel leader to drive the training sessions of the descriptive panel. The profile included nine terms and was applied to the analysis of 14 velvet-like fabrics. ANOVA and PCA results showed good panel performance and good discrimination of samples. Thus, the proposed complementary approach combining different tasks and different levels of expertise can be considered as a powerful methodology to successfully set-up accurate sensory profiling methods.</div>
</front><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0950-3293</s0>
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</fA08><fA09 i1="01" i2="1" l="ENG"><s1>Fifth Sensometrics Meeting, Columbia, Missouri, 9-11 July 2000</s1>
</fA09><fA11 i1="01" i2="1"><s1>GIBOREAU (Agnès)</s1>
</fA11><fA11 i1="02" i2="1"><s1>NAVARRO (Séverine)</s1>
</fA11><fA11 i1="03" i2="1"><s1>FAYE (Pauline)</s1>
</fA11><fA11 i1="04" i2="1"><s1>DUMORTIER (Jacqueline)</s1>
</fA11><fA12 i1="01" i2="1"><s1>HEYMANN (Hildegarde)</s1>
<s9>ed.</s9>
</fA12><fA12 i1="02" i2="1"><s1>POPPER (Richard D.)</s1>
<s9>ed.</s9>
</fA12><fA14 i1="01"><s1>PSA Peugeot Citroën, DRIA/SARA/PVFH, 2 route de Gisy</s1>
<s2>78943 Vélizy</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</fA14><fA14 i1="02"><s1>LORE, 11, Boulevard Pershing</s1>
<s2>75017 Paris</s2>
<s3>FRA</s3>
<sZ>3 aut.</sZ>
</fA14><fA14 i1="03"><s1>Trèves, Centre R&D, 5 rue E.Arquès</s1>
<s2>51686 Reims</s2>
<s3>FRA</s3>
<sZ>4 aut.</sZ>
</fA14><fA15 i1="01"><s1>Peryam & Kroll Research Corporation, 3033 W. Parker Road Suite 217</s1>
<s2>Plano, TX 75023</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</fA15><fA15 i1="02"><s1>University of Missouri, 215 Agricultural Engineering</s1>
<s2>Columbia, MO 65211</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
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</fA66><fC01 i1="01" l="ENG"><s0>The works reported here show the selected approach used to build a powerful descriptive method of the touch of fabrics. First, naive consumers were asked to make classes of fabrics among 26 samples, based on their tactile similarities. MDS mapping showed a four-dimension perceptual space and the cluster analysis determined nine classes of typical touches, from which one exemplar was extracted for the following step. Second, internal experts from the textile domain were asked to describe the touch characteristics of these typical fabrics; they were also filmed while interviewed. Correspondence analysis and visioning of videos allowed us to identify the vocabulary and gestures used by experts for tactile description. Third, this information was used by the panel leader to drive the training sessions of the descriptive panel. The profile included nine terms and was applied to the analysis of 14 velvet-like fabrics. ANOVA and PCA results showed good panel performance and good discrimination of samples. Thus, the proposed complementary approach combining different tasks and different levels of expertise can be considered as a powerful methodology to successfully set-up accurate sensory profiling methods.</s0>
</fC01><fC02 i1="01" i2="X"><s0>002B29C02</s0>
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</fC03><fC03 i1="01" i2="X" l="ENG"><s0>Woven material</s0>
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<s5>01</s5>
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<s5>02</s5>
</fC03><fC03 i1="02" i2="X" l="ENG"><s0>Tactile sensitivity</s0>
<s5>02</s5>
</fC03><fC03 i1="02" i2="X" l="SPA"><s0>Sensibilidad tactil</s0>
<s5>02</s5>
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<s5>10</s5>
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<s5>10</s5>
</fC03><fC03 i1="03" i2="X" l="SPA"><s0>Percepción sensorial</s0>
<s5>10</s5>
</fC03><fC03 i1="04" i2="X" l="FRE"><s0>Analyse sensorielle</s0>
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<s5>20</s5>
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<s5>20</s5>
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<s5>24</s5>
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<s5>24</s5>
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<s5>24</s5>
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<s5>26</s5>
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<s5>29</s5>
</fC03><fC03 i1="09" i2="X" l="SPA"><s0>Reacción utilizador</s0>
<s5>29</s5>
</fC03><fC03 i1="10" i2="X" l="FRE"><s0>Interface</s0>
<s5>30</s5>
</fC03><fC03 i1="10" i2="X" l="ENG"><s0>Interface</s0>
<s5>30</s5>
</fC03><fC03 i1="10" i2="X" l="SPA"><s0>Interfase</s0>
<s5>30</s5>
</fC03><fC03 i1="11" i2="X" l="FRE"><s0>Evaluation</s0>
<s5>31</s5>
</fC03><fC03 i1="11" i2="X" l="ENG"><s0>Evaluation</s0>
<s5>31</s5>
</fC03><fC03 i1="11" i2="X" l="SPA"><s0>Evaluación</s0>
<s5>31</s5>
</fC03><fN21><s1>295</s1>
</fN21><pR><fA30 i1="01" i2="1" l="ENG"><s1>Sensometrics Meeting</s1>
<s2>5</s2>
<s3>Columbia, Missouri USA</s3>
<s4>2000-07-09</s4>
</fA30><server><NO>PASCAL 01-0424420 INIST</NO>
<ET>Sensory evaluation of automotive fabrics: the contribution of categorization tasks and non verbal information to set-up a descriptive method of tactile properties</ET>
<AU>GIBOREAU (Agnès); NAVARRO (Séverine); FAYE (Pauline); DUMORTIER (Jacqueline); HEYMANN (Hildegarde); POPPER (Richard D.)</AU>
<AF>PSA Peugeot Citroën, DRIA/SARA/PVFH, 2 route de Gisy/78943 Vélizy/France (1 aut., 2 aut.); LORE, 11, Boulevard Pershing/75017 Paris/France (3 aut.); Trèves, Centre R&D, 5 rue E.Arquès/51686 Reims/France (4 aut.); Peryam & Kroll Research Corporation, 3033 W. Parker Road Suite 217/Plano, TX 75023/Etats-Unis (2 aut.); University of Missouri, 215 Agricultural Engineering/Columbia, MO 65211/Etats-Unis (1 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Food quality and preference; ISSN 0950-3293; Royaume-Uni; Da. 2001; Vol. 12; No. 5-7; Pp. 311-322; Bibl. 10 ref.</SO>
<LA>Anglais</LA>
<EA>The works reported here show the selected approach used to build a powerful descriptive method of the touch of fabrics. First, naive consumers were asked to make classes of fabrics among 26 samples, based on their tactile similarities. MDS mapping showed a four-dimension perceptual space and the cluster analysis determined nine classes of typical touches, from which one exemplar was extracted for the following step. Second, internal experts from the textile domain were asked to describe the touch characteristics of these typical fabrics; they were also filmed while interviewed. Correspondence analysis and visioning of videos allowed us to identify the vocabulary and gestures used by experts for tactile description. Third, this information was used by the panel leader to drive the training sessions of the descriptive panel. The profile included nine terms and was applied to the analysis of 14 velvet-like fabrics. ANOVA and PCA results showed good panel performance and good discrimination of samples. Thus, the proposed complementary approach combining different tasks and different levels of expertise can be considered as a powerful methodology to successfully set-up accurate sensory profiling methods.</EA>
<CC>002B29C02</CC>
<FD>Tissu textile; Sensibilité tactile; Perception sensorielle; Analyse sensorielle; Méthodologie; Industrie automobile; Automobile; Equipement; Réaction utilisateur; Interface; Evaluation</FD>
<ED>Woven material; Tactile sensitivity; Sensorial perception; Sensory analysis; Methodology; Automobile industry; Motor car; Equipment; User reaction; Interface; Evaluation</ED>
<SD>Tela textil; Sensibilidad tactil; Percepción sensorial; Análisis sensorial; Metodología; Industria automóvil; Automóvil; Equipo; Reacción utilizador; Interfase; Evaluación</SD>
<LO>INIST-21968.354000098624270040</LO>
<ID>01-0424420</ID>
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