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Estimating Affective Taste Experience Using Combined Implicit Behavioral and Neurophysiological Measures

Anne-Marie Brouwer, Tim J. van den Broek, Maarten A. Hogervorst, Daisuke Kaneko, Alexander Toet, Victor Kallen, Jan B. F. van Erp

2020IEEE Transactions on Affective Computing11 citationsDOIOpen Access PDF

Abstract

We trained a model to distinguish an extreme high arousal, unpleasant drink from regular drinks based on a range of implicit behavioral and physiological responses to naturalistic tasting. The trained model predicted arousal ratings of regular drinks, highlighting the possibility to estimate affective experience without having to rely on subjective ratings.

Topics & Concepts

Wine tastingArousalPsychologyNeurophysiologyTasteLow arousal theoryCognitive psychologySocial psychologyNeuroscienceWineOpticsPhysicsBiochemical Analysis and Sensing TechniquesOlfactory and Sensory Function StudiesSensory Analysis and Statistical Methods
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