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Dive into the research topics where B. Thomas Carr is active.

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Featured researches published by B. Thomas Carr.


Food Quality and Preference | 2001

A case study in relating sensory descriptive data to product concept fit and consumer vocabulary

B. Thomas Carr; Dana Craig-Petsinger; Susan Hadlich

Abstract Twelve products from a target product category were evaluated by both consumers and a trained descriptive panel. Consumers rated each product on fit-to-concept, specific product attributes (appearance, aroma, flavor and texture) and subjective product image attributes. The trained panel rated the products on a fixed ballot using a 15-point intensity scale. Attributes measured by the trained panel included relevant appearance, flavor and texture characteristics. Three sets of analyses were performed on the resulting data sets to determine the nature and strength of the relationships that existed. The relationships studied and the general findings were: 1. Consumer fit-to-concept and consumer image and product description attributes: Findings: Consumer fit-to-concept ratings related more to consumer image attributes than to consumer product description attributes. 2. Consumer fit-to-concept and descriptive sensory profiles: Findings: Key drivers of fit-to-concept were identified for the flavor and texture attributes. Within the product array, appearance attributes did not significantly impact fit-to-concept. Different key drivers were found for two consumer segments identified through cluster analysis. 3. Consumer image and product description attributes and descriptive sensory profiles: Findings: Eight groups of consumer/sensory terms were identified. The groupings showed that the consumer and sensory vocabularies were reasonably similar. The greatest similarity occurred for commonly understood attributes such as sweetness, overall flavor intensity and crunchy/crisp texture. Additionally, specific sensory attributes, individually or in groups, were reasonably related to the integrated consumer terms (e.g. consumer mushy=sensory wet appearance, moistness of mass and dissolvability, among others). Lastly, it was found that the consumer image and product description attributes that related most to fit-to-concept aligned with the objective sensory attributes that related most to fit-to-concept. For example, the consumer terms homemade and distinct ingredients were grouped with the sensory terms awareness of inclusions and brown sweet aromatics, both sets of which were highly related to fit-to-concept.


Psychology of Music | 2016

The effect of background music on food pleasantness ratings

Kevin Kantono; Nazimah Hamid; Daniel Shepherd; Michelle J.Y. Yoo; B. Thomas Carr; Gianpaolo Grazioli

This study investigated whether samples of pleasant, neutral and unpleasant music can impact food perception. To this end, the pleasantness of three different types of chocolate gelati (milk chocolate, dark chocolate and bittersweet chocolate) was determined using 50 participants exposed to silence (the reference condition) and three music samples differing in self-rated preference. To measure hedonic responses to the gelati samples, the Time Intensity method was utilized to derive the maximum intensity of pleasantness and the area under the Time Intensity pleasantness curve. The presence of non-preferred music significantly decreased the pleasantness ratings of all three types of chocolate gelati tested, while preferred music increased perceived pleasantness ratings of dark and bittersweet chocolate gelati, but not milk chocolate gelato. Time Intensity parameters for pleasantness ratings did not differ significantly across the three different types of chocolate gelati in the silent condition, suggesting that listening to the music influenced gelati pleasantness ratings. This study demonstrated that the pleasantness of gelati changed with music valence. The findings echo previous studies emphasizing the importance of crossmodal effects between music and food perception.


Food Quality and Preference | 2013

Existing and new approaches for the analysis of CATA data

Michael Meyners; John C. Castura; B. Thomas Carr


Food Quality and Preference | 2013

Measuring emotions associated with foods: Important elements of questionnaire and test design

Silvia C. King; Herbert L. Meiselman; B. Thomas Carr


Food Quality and Preference | 2010

Measuring emotions associated with foods in consumer testing

Silvia C. King; Herbert L. Meiselman; B. Thomas Carr


Food Quality and Preference | 2015

Development of a questionnaire to measure consumer wellness associated with foods: The WellSense Profile™

Silvia C. King; James Snow; Herbert L. Meiselman; Jeanine Sainsbury; B. Thomas Carr; Denise McCafferty; Diego Serrano; Marianne Gillette; Lindsay Millard; Qian Li


Food Quality and Preference | 2008

Preference segments: A deeper understanding of consumer acceptance or a serving order effect?

Annette W. Hottenstein; Ruta Taylor; B. Thomas Carr


Appetite | 2016

Picky eating: Associations with child eating characteristics and food intake.

Klazine van der Horst; Denise M. Deming; Ruta Lesniauskas; B. Thomas Carr; Kathleen Reidy


Food Research International | 2017

Consumer-based product characterization using Pivot Profile, Projective Mapping and Check-all-that-apply (CATA): A comparative case with Greek yogurt samples

Erick A. Esmerino; Elson R. Tavares Filho; B. Thomas Carr; Juliana P. Ferraz; Hugo L.A. Silva; Letícia P.F. Pinto; Mônica Queiroz de Freitas; Adriano G. Cruz; Helena Maria André Bolini


Appetite | 2016

Listening to music can influence hedonic and sensory perceptions of gelati

Kevin Kantono; Nazimah Hamid; Daniel Shepherd; Michelle J.Y. Yoo; Gianpaolo Grazioli; B. Thomas Carr

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Daniel Shepherd

Auckland University of Technology

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Gianpaolo Grazioli

Auckland University of Technology

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Kevin Kantono

Auckland University of Technology

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Nazimah Hamid

Auckland University of Technology

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Michelle J.Y. Yoo

Auckland University of Technology

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Yi Hsuan Tiffany Lin

Auckland University of Technology

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