"All-In-One Test" (AI1): a rapid and easily applicable approach to consumer product testing

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Standard

"All-In-One Test" (AI1) : a rapid and easily applicable approach to consumer product testing. / Giacalone, Davide; Bredie, Wender Laurentius Petrus; Frøst, Michael Bom.

I: Food Quality and Preference, Bind 27, Nr. 2, 2013, s. 108-119.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Giacalone, D, Bredie, WLP & Frøst, MB 2013, '"All-In-One Test" (AI1): a rapid and easily applicable approach to consumer product testing', Food Quality and Preference, bind 27, nr. 2, s. 108-119. https://doi.org/10.1016/j.foodqual.2012.09.011

APA

Giacalone, D., Bredie, W. L. P., & Frøst, M. B. (2013). "All-In-One Test" (AI1): a rapid and easily applicable approach to consumer product testing. Food Quality and Preference, 27(2), 108-119. https://doi.org/10.1016/j.foodqual.2012.09.011

Vancouver

Giacalone D, Bredie WLP, Frøst MB. "All-In-One Test" (AI1): a rapid and easily applicable approach to consumer product testing. Food Quality and Preference. 2013;27(2):108-119. https://doi.org/10.1016/j.foodqual.2012.09.011

Author

Giacalone, Davide ; Bredie, Wender Laurentius Petrus ; Frøst, Michael Bom. / "All-In-One Test" (AI1) : a rapid and easily applicable approach to consumer product testing. I: Food Quality and Preference. 2013 ; Bind 27, Nr. 2. s. 108-119.

Bibtex

@article{cbe9de2d59ff4ea2a7912b9e149b3940,
title = "{"}All-In-One Test{"} (AI1): a rapid and easily applicable approach to consumer product testing",
abstract = "Methods to collect sensory profiles relying directly on consumers{\textquoteright} perceptions are increasingly employed. A consumer test method simultaneously collecting information about the consumer background, appropriateness rating for specific sensory properties, hedonic ratings and a sensory profile by the Check-All-That-Apply (CATA) technique is reported. In this exploratory “All-In-One Test” (AI1), subjects (N = 160) filled out a questionnaire with demographic and psychographic variables, and appropriateness ratings for specific sensory descriptors of beer. Subsequently, subjects gave hedonic ratings for six beers and assessed the presence of specific sensory properties by CATA. The dataset was analyzed by L-shaped Partial Least Square Regression (L-PLSR) to link product information (X), liking ratings (Y) and consumer background information (Z). The CATA technique effectively discriminated between all beers and identified the underlying sensory dimensions. Consumer psychographics – particularly previous knowledge and interest in beer – explained liking better than demographics. Appropriateness correlated well with liking for some sensory properties, whereas others showed large discrepancy between appropriateness and actual hedonic response. Overall, the AI1 test provided interpretable results concerning consumer perception (sensory/hedonic) of the beers, and revealed relations with consumers{\textquoteright} background information. Initial results with AI1 test show that it is an efficient and versatile approach for exploratory product testing with consumers.",
author = "Davide Giacalone and Bredie, {Wender Laurentius Petrus} and Fr{\o}st, {Michael Bom}",
year = "2013",
doi = "10.1016/j.foodqual.2012.09.011",
language = "English",
volume = "27",
pages = "108--119",
journal = "Food Quality and Preference",
issn = "0950-3293",
publisher = "Pergamon Press",
number = "2",

}

RIS

TY - JOUR

T1 - "All-In-One Test" (AI1)

T2 - a rapid and easily applicable approach to consumer product testing

AU - Giacalone, Davide

AU - Bredie, Wender Laurentius Petrus

AU - Frøst, Michael Bom

PY - 2013

Y1 - 2013

N2 - Methods to collect sensory profiles relying directly on consumers’ perceptions are increasingly employed. A consumer test method simultaneously collecting information about the consumer background, appropriateness rating for specific sensory properties, hedonic ratings and a sensory profile by the Check-All-That-Apply (CATA) technique is reported. In this exploratory “All-In-One Test” (AI1), subjects (N = 160) filled out a questionnaire with demographic and psychographic variables, and appropriateness ratings for specific sensory descriptors of beer. Subsequently, subjects gave hedonic ratings for six beers and assessed the presence of specific sensory properties by CATA. The dataset was analyzed by L-shaped Partial Least Square Regression (L-PLSR) to link product information (X), liking ratings (Y) and consumer background information (Z). The CATA technique effectively discriminated between all beers and identified the underlying sensory dimensions. Consumer psychographics – particularly previous knowledge and interest in beer – explained liking better than demographics. Appropriateness correlated well with liking for some sensory properties, whereas others showed large discrepancy between appropriateness and actual hedonic response. Overall, the AI1 test provided interpretable results concerning consumer perception (sensory/hedonic) of the beers, and revealed relations with consumers’ background information. Initial results with AI1 test show that it is an efficient and versatile approach for exploratory product testing with consumers.

AB - Methods to collect sensory profiles relying directly on consumers’ perceptions are increasingly employed. A consumer test method simultaneously collecting information about the consumer background, appropriateness rating for specific sensory properties, hedonic ratings and a sensory profile by the Check-All-That-Apply (CATA) technique is reported. In this exploratory “All-In-One Test” (AI1), subjects (N = 160) filled out a questionnaire with demographic and psychographic variables, and appropriateness ratings for specific sensory descriptors of beer. Subsequently, subjects gave hedonic ratings for six beers and assessed the presence of specific sensory properties by CATA. The dataset was analyzed by L-shaped Partial Least Square Regression (L-PLSR) to link product information (X), liking ratings (Y) and consumer background information (Z). The CATA technique effectively discriminated between all beers and identified the underlying sensory dimensions. Consumer psychographics – particularly previous knowledge and interest in beer – explained liking better than demographics. Appropriateness correlated well with liking for some sensory properties, whereas others showed large discrepancy between appropriateness and actual hedonic response. Overall, the AI1 test provided interpretable results concerning consumer perception (sensory/hedonic) of the beers, and revealed relations with consumers’ background information. Initial results with AI1 test show that it is an efficient and versatile approach for exploratory product testing with consumers.

U2 - 10.1016/j.foodqual.2012.09.011

DO - 10.1016/j.foodqual.2012.09.011

M3 - Journal article

VL - 27

SP - 108

EP - 119

JO - Food Quality and Preference

JF - Food Quality and Preference

SN - 0950-3293

IS - 2

ER -

ID: 40888386