Psychographic measures and sensory consumer tests: When emotional experience and feeling-based judgments account for preferences

Kergoat, Marine; Giboreau, Agnès; Nicod, Huguette; Faye, Pauline; Diaz, Emmanuelle; Beetschen, M.A.; Gerritsen, N.; Meyer, Thierry

doi:10.1016/j.foodqual.2009.06.006

Cited by 12 publications

(5 citation statements)

References 35 publications

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“…Preferences for softer car seat textiles observed in previous studies (Kergoat et al . 2010) could be characteristic of positive stimulation seeking.…”

Section: Introductionsupporting

confidence: 53%

“…This study was a first attempt to replicate previous findings highlighting AI as a predictive factor of soft textile preferences. More precisely, the hypothesis was that participants who like soft textiles, irrespective of the type of fabrics (car seat fabrics and washed‐shirt fabrics), would be characterized by higher scores on the IPA I factor, as had been observed in previous studies (Kergoat et al . 2010).…”

Section: Methodsmentioning

confidence: 77%

“…Although these measures are informative, they remain insufficient to highlight the psychological components involved in fabric sensory preferences. In a previous study (Kergoat et al . 2010), an individual differences approach was used in order to capture the motivational bases of consumer attitudes toward textiles.…”

Section: Introductionmentioning

confidence: 88%

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Consumer Preference for Tactile Softness: A Question of Affect Intensity?

Kergoat

Giboreau

Nicod³

et al. 2012

Journal of Sensory Studies

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Previous studies have shown that consumers with higher affect intensity expressed stronger preferences for softer car seat fabrics (Kergoat et al.). The present research aims to consolidate and expand these results. Across two studies, we attempt to determine whether the intensity of affect (as measured by the affect intensity measure; Larsen) is a more general construct involved in soft textile preferences. Through the evaluation of two product categories (car seat fabrics and washed‐shirt fabrics) and the manipulation of product sensory attributes, we were able to establish that affect intensity components (positive intensity and negative reactivity) play a role in soft textile preferences, independent of the product category. The highest predictive value of particular affect intensity components for softness preference is discussed in line with the multidimensional approach of the affect intensity construct (Bryant et al.). PRACTICAL APPLICATIONS This research highlights the significance of one emotional individual difference dimension (affect intensity) accounting for consumer tactile sensory preferences. Practically, it offers a way to characterize clusters of heterogeneous tactile sensory preferences observed in consumer tests. Furthermore, it represents a step in the understanding of underlying processes involved in soft tactile sensory preferences. We can assume these implications are not limited to the sense of touch and/or non‐food products. As a general emotional variable, the affect intensity construct must play a role in various blind sensory evaluation settings and be a significant tool for a typology of consumers.

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“…Preferences for softer car seat textiles observed in previous studies (Kergoat et al . 2010) could be characteristic of positive stimulation seeking.…”

Section: Introductionsupporting

confidence: 53%

Section: Methodsmentioning

confidence: 77%

See 1 more Smart Citation

Consumer Preference for Tactile Softness: A Question of Affect Intensity?

Kergoat

Giboreau

Nicod³

et al. 2012

Journal of Sensory Studies

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“…Nevertheless, all the previous research analysed how to identify and measure emotions in the consumption process (Richins, 1997;King and Meiselman, 2010;Kergoat et al, 2010;Prescott, 2017;Spinelli, 2017), whereas the methodological approach in this study measured the effects of emotions directly aroused by the environment of the consumption on the willingness to pay for wine. In particular, this study observed that the emotions aroused by Mt.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Effects of the Environment on Consumers’ Evaluations for Wine

Pappalardo

Chinnici

Selvaggi

et al. 2020

WEP

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In the wine sector, experiential marketing is becoming increasingly important since the success of a wine hinges on “experiential” attributes that include hedonic and symbolic values associated with emotions. An aspect not yet fully explored in the scientific literature concerns the extent to which emotions aroused by the environment where wine is consumed are able to influence consumers’ evaluation of wine. To this end, we conducted an economic experiment in Italy in the territory of Mt Etna, Sicily and through a non-hypothetical experimental auction we assessed the effects of 10 emotions related to the environment of Mt Etna on consumers’ Willingness to Pay (WTP) for Etna wine. The results of this study show that the values of consumers’ WTP for wine are affected by emotions aroused by the experiential environment of Mt Etna.

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“…41 42 However, an important challenge is to identify which consumer attributes (e.g., socio-43 demographics, habits, attitudes, etc. ), drive liking differences among consumers, beyond 44 varying preferences for the sensory attributes of a food product (Kergoat et al, 2010). This 45 information is crucial for product developers and marketers of new food products to improve 46 product properties, product communication, and marketing strategies.…”

Section: Introduction 34mentioning

confidence: 99%

Comparison of different ways of handling L-shaped data for integrating sensory and consumer information

Asioli

Nguyen

Varela

et al. 2022

Food Quality and Preference

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Different approaches for handling L-shaped data are compared for the first time in a study 17 conducted with Norwegian consumers. Consumers (n = 101) valuated eight different yoghurt 18 profiles varying in three intrinsic attributes such as viscosity, particle size, and flavour intensity 19 following a full factorial design. Sensory attributes, consumers' liking ratings, and consumer 20 attributes were collected. Data were analysed using two different approaches of handling L-21 shaped data: approach one used two-step Partial Least Square (PLS) Regression using L-shaped 22 data including the three blocks such as sensory attributes, consumers' liking ratings, and 23 consumer attributes, while approach two was based on one-step simultaneous L-Partial Least 24 Square (L-PLS) Regression model of the same three blocks of data. The different approaches 25 are compared in terms of centering, step procedures, interpretations, flexibility, and outcomes. 26 Methodological implications and recommendations for academia and future research avenues 27 are outlined. 28

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Psychographic measures and sensory consumer tests: When emotional experience and feeling-based judgments account for preferences

Cited by 12 publications

References 35 publications

Consumer Preference for Tactile Softness: A Question of Affect Intensity?

Consumer Preference for Tactile Softness: A Question of Affect Intensity?

Assessing the Effects of the Environment on Consumers’ Evaluations for Wine

Comparison of different ways of handling L-shaped data for integrating sensory and consumer information

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