A fascinating but risky case of reverse inference: From measures to emotions!. (September 2021)

• Record Type: Journal Article
• Authors: Delplanque, Sylvain; Sander, David
• Is Part Of: Food quality and preference. Volume 92(2021)
• Publication Date: 2021-09
• Subjects: Emotion -- Reverse inference -- Measure; Food preferences -- Periodicals; Food -- Quality -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Préférences alimentaires -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Food industry and trade -- Quality control; Food preferences; Food -- Quality; Periodicals; 664
• DOI: 10.1016/j.foodqual.2021.104183
• Languages: English
• ISSNs: 0950-3293

Abstract

Highlights: Emotions involved five components of the organism. Using measures of only one component to infer emotions could lead to a false reverse inference. Looking for converging evidence between the five components of emotion decreases this risk. One should rather focus on the functions of these components in product development. Abstract: Inferring emotions based on accessible signals is a tendency that we have both as social individuals and as scientists. Academia and industry have developed methods and devices aimed at detecting specific emotions (e.g., joy, anger or fear) based on physiological or behavioral signals. The current opinion paper argues that this is currently a risky path to be taken in terms of scientific validity. We argue that using measures to test hypotheses concerning emotions is efficient, but that going backward – using measures to infer emotions – is risky. We also argue that ways to circumvent this reverse inference issue include making use of converging evidence across the five components of emotion (cognitive appraisal, action tendency, expression, physiological reaction and feelings), and investing even more in methodological developments.