Taxonomic free sorting

Courcoux, Philippe; Qannari, El Mostafa; Taylor, Yates; Buck, D.; Greenhoff, Keith

doi:10.1016/j.foodqual.2011.04.001

Cited by 31 publications

(34 citation statements)

References 20 publications

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“…The simple task involved was easily understood and executed by older volunteers, who were keen to group the samples and describe the differences with each round of sorting. This correlates well with previous development of TFS, specifically that it is less fatiguing for participants than divisive sorting methods and that the refinement in sorting produces greater discrimination between products (Courcoux et al 2012). However, Courcoux et al focused on sensory panelists (age range not given) assessing the packaging of chocolate bars, whereas the current study evaluated taxonomical free sorting with target consumers, considered the impact of consumer age on the suitability of the method to allow sample differentiation and determined whether full sensory assessment including taste, flavor, odor and texture appreciation could be incorporated into the method.…”

Section: Samplesupporting

confidence: 85%

“…Preference mapping of products by older adults can help to determine the key attributes driving liking and disliking of products within the target group, key for the food industry as a whole within product development, as well as specifically in areas such as hospital and institutional meals. TFS is therefore a suitable and successful method for use with consumers, including challenging cohorts such as older adult, and can be used to incorporate product tasting as well as grouping by appearance as previously reported (Courcoux et al 2012).…”

Section: Resultsmentioning

confidence: 94%

“…Subjects were asked, "Can you explain why these samples are similar, and why they are different to the other groups," thus allowing participants to compare samples and to describe the differences that they all considered easy to do. This gives an idea of the sensory drivers of interest to these older consumers (Courcoux et al 2012).…”

Section: Tfsmentioning

confidence: 99%

“…The Courcoux modification of the free sorting task to include more stages of assessing sample dissimilarity allows the quantification of distances between partitioned stimuli, which increases the discrimination between products and greatly refines the sorting task. Courcoux et al (2012) found that taxonomic sorting is an efficient technique, suitable for discriminating between products and providing a sensory map of characteristics perceived by a specific target group. This combined with the simplicity of technique offered by sorting tasks (Cartier et al 2006) could make it suitable for a more challenging consumer group to assess the full sensory characteristics of products as conducted in this study.…”

Section: Introductionmentioning

confidence: 99%

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Taxonomic Free Sorting: A Successful Method with Older Consumers and a Novel Approach to Preference Mapping

Withers

Methven

Qannari

et al. 2014

Journal of Sensory Studies

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Taxonomic free sorting (TFS) is a fast, reliable and new technique in sensory science. The method extends the typical free sorting task where stimuli are grouped according to similarities, by asking respondents to combine their groups two at a time to produce a hierarchy. Previously, TFS has been used for the visual assessment of packaging whereas this study extends the range of potential uses of the technique to incorporate full sensory analysis by the target consumer, which, when combined with hedonic liking scores, was used to generate a novel preference map. Furthermore, to fully evaluate the efficacy of using the sorting method, the technique was evaluated with a healthy older adult consumer group. Participants sorted eight products into groups and described their reason at each stage as they combined those groups, producing a consumer-specific vocabulary. This vocabulary was combined with hedonic data from a separate group of older adults, to give the external preference map. Taxonomic sorting is a simple, fast and effective method for use with older adults, and its combination with liking data can yield a preference map constructed entirely from target consumer data. PRACTICAL APPLICATIONSGenerating diagnostic sensory data directly from target consumers is a challenge in sensory science. Taxonomic free sorting (TFS) is a new and efficient sorting technique that aims to determine the sensory characteristics of products that are important to specific consumer cohorts. The hierarchical stages of TFS gives a better indication of the similarities and differences of a sample set and in this study was combined with consumer hedonic data to generate a preference map. In this study the attributes of the products assessed were provided directly by older consumers, without the need for training or prompting. TFS is a quick and effective method to give clear guidance of positive and negative characteristics of products according to the target consumer, as well as involving the specific consumer audience throughout the testing process.

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Section: Samplesupporting

confidence: 85%

Section: Resultsmentioning

confidence: 94%

Section: Tfsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Taxonomic Free Sorting: A Successful Method with Older Consumers and a Novel Approach to Preference Mapping

Withers

Methven

Qannari

et al. 2014

Journal of Sensory Studies

Self Cite

View full text Add to dashboard Cite

show abstract

“…then address how to Account for No Difference/Preference Responses or Ties in Choice Experiments. Next there are two papers from the Nantes group addressing the application of PLS discriminant analysis to conventional sensory profile data (Qannari, Rossini, Verdun, &Cariou, 2011 andVerdun, Cariou, &Qannari, 2011). Two papers on sorting methodology follow: Courcoux, Qannari, Taylor, Buck, and Greenhoff (2011) discuss hierarchical taxonomic free sorting and Blancher, Clavier, Egoroff, Duineveld, and Parcon (2011) investigate the stability of the sorting maps.…”

mentioning

confidence: 99%