2907, 2014

Temporal Check-All-That-Apply (TCATA): a novel temporal sensory method for characterizing products

Sara King/ July 29, 2014/ Oral Presentation/ 0 comments

The development of methodologies that consider the multidimensionality of sensory perception over time can contribute to the development of successful food products. The aim of the present work was to introduce a novel method for dynamic sensory characterization: Temporal Check-All-That-Apply (TCATA). TCATA is basically an extension of check-all-that-apply questions, involving continuous selection/deselection of attributes to indicate the changing sample characteristics.

1108, 2013

Sensory informed design: An effective clustering of incomplete block consumer data

Sara King/ August 11, 2013/ Oral Presentation/ 0 comments

Consumer research has advanced its business relevance through segmenting consumer populations into clusters based upon liking. Products designed to meet the expectations and desires of specific niche markets have demonstrated commercial success. The studies that are typically designed to reveal liking segments require a relatively large number of products and a large sample of consumers in a complete block design.

1108, 2013

Visualizing temporal sensory data using animated scatterplots, boxplots, and bagplots

Sara King/ August 11, 2013/ Oral Presentation, Poster/ 0 comments

The complexity of sensory data can be overwhelming to the uninitiated, particularly when considering the nature of time-related testing (Time Intensity, Temporal Dominance of Sensations, Temporal Order of Sensations, Progressive Profiling, etc.). Researchers attempt to simplify the story told by these rich data sets through graphs, but the tools currently available limit the meaningful and approachable visualizations that can be

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0910, 2012

Equivalence tests and non-inferiority tests for sensory applications

Sara King/ October 9, 2012/ Oral Presentation/ 0 comments

Should the proposed ingredient substitution proceed? How did the product perform in a meet-or-beat study? These questions can be answered using Equivalence Tests and Non-inferiority Tests, respectively. Equivalence and non-inferiority tests are related. Each test makes use of bounds that are set based on practical considerations, and allows for decision-making within the framework of statistical hypothesis testing. This seminar will

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2006, 2012

You know what you like, but what about everyone else? A case study on incomplete block segmentation of white-bread consumers

Sara King/ June 20, 2012/ Oral Presentation/ 0 comments

“One man’s meat is another man’s poison.” There will always be a wide range of consumer liking response across any product category. Cluster analysis can provide consumer segments based upon common liking that reflect underlying sensory preferences. To determine valid population segments requires a large sample of consumers. As the number of products tested by each consumer increases, experimental bias

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