Over the last decade, so-called rapid methods for sensory evaluation have been developed to permit consumers to characterize products. The possibility to analyze both sensory perception data and hedonic and other data arising from the same consumers presents new opportunities, but also new challenges to investigate hedonic drivers and other interesting aspects.
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Temporal Check-All-That-Apply (TCATA) is introduced as a new dynamic method for describing multidimensional sensory properties of products as they evolve over time. TCATA extends the Check-All-That-Apply (CATA) method. Selection and deselection of attributes are tracked continuously over time, permitting assessors to characterize the evolution of sensory changes in products. TCATA is presented using results from trained panel evaluations of yogurt
Temporal Check-All-That-Apply (TCATA) has been recently introduced as a method for temporal sensory product characterization. Building on the standard Check-All-That-Apply (CATA) question format, assessors select all the terms they consider applicable for describing the sensations they perceive, and they do so at each moment of the evaluation process.
Temporal methods have become an increasingly important tool for understanding changes that occur over an eating experience.
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
Various methods are available for characterizing the dynamic sensory properties of foods, beverages, and other products. Conventional temporal methods include time-intensity and discrete evaluation of attributes at specified time points. Time-intensity allows the intensity of one, or at most two, attributes to be tracked continuously with time. The conventional approaches can be applied to capture either intensity or hedonic responses.
Many sensory experiences have a temporal dimension, and several approaches have been proposed to capture changes in sensations with time. The workshop will review a few of those methods, including Time intensity, Temporal Attribute Discrimination, Progressive Profiling, Sequential Profiling, Temporal Dominance of Sensations, and Temporal Order of Sensations.
Descriptive analysis provides valuable information about the sensory properties of consumer products, but this information lacks the temporal dimensionality of real-world sensory experiences. Type II error occurs when the descriptive sensory panel fails to differentiate between products known to be discriminable. Findlay (2000) reported no meaningful reduction in beta risk when descriptive analysis on manipulated salad dressings was augmented by