Estimating Affective Taste Experience Using Combined Implicit Behavioral and Neurophysiological Measures

A.-M. Brouwer,T. J. van den Broek,M. A. Hogervorst,D. Kaneko,A. Toet,V. Kallen,J. B. F. van Erp

IEEE Transactions on Affective Computing（2023）

Cited 5|Views48

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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.

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Key words

Affect sensing and analytics,customer experience measurement,nonverbal synthesis,physiological measures,tasting

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