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

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
224 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)849-856
Number of pages8
JournalIEEE transactions on affective computing
Volume14
Issue number1
Early online date19 Oct 2020
DOIs
Publication statusPublished - Mar 2023

Keywords

  • Affect sensing and analytics
  • Customer experience measurement
  • Nonverbal synthesis
  • Physiological measures
  • Tasting
  • n/a OA procedure

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