Date of Award
8-2020
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Food Science and Human Nutrition
Committee Member
Andrew R Hurley
Committee Member
Feng Chen
Committee Member
Kay Cooksey
Abstract
This research aims to understand consumer’s preference by self-reported overall liking (hedonic scores) and facial expressions elicited by beverages measured by automated facial analysis software (AFEA). Two independent studies were included:
In study 1-Observing and comparing emotions measured through AFEA and hedonic response on basic tastes (N=32), consumers’ facial expressions evoked by bitter and sweet taste solution at high concentrations (1.08g/L and 48.0g/L respectively) (ISO 8586- 1:1993) and water were studied. It concluded that the overall liking of water was significantly higher than bitter and sweet (p
In study 2- The influence of labeling on consumer emotion and hedonic liking of kombucha (N=31), whether package label colors influence emotions reflected by facial expressions and traditional 9-point hedonic liking scores on kombucha were studied. It concluded that the mean overall liking of kombucha in a green label (7.19) was significantly (p0.05), the yellow label was observed to have higher probability to stimulate negative emotion (EV disgust=1.139) than green label (EV disgust=1.137); overall liking of green label kombucha sample and yellow one were all negatively correlated with anger.
Recommended Citation
Jiang, Funan, "Investigation of Consumer Acceptability of Beverages Through Automated Facial Expression Analysis and Overall Liking" (2020). All Theses. 3428.
https://tigerprints.clemson.edu/all_theses/3428