Date of Award
Master of Science (MS)
Food Science and Human Nutrition
Andrew R Hurley
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<0.05); facial expressions could be used to discriminate disliked samples from others: bitter as the most disliked sample (in terms of hedonic scores) has significant (p<0.05) higher probability to elicit negative emotions (EV anger=0.064 and sadness=0.237) than water (EV anger=0.009 and sadness=0.035) and sweet (EV anger=0.016 and sadness=0.069); significant (p<0.05) negative correlations were found in bitter tastes between negative emotions [disgust (r=-0.451), sad (r=-0.377), contempt (r=-0.396)] and overall liking.
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 (p<0.1) higher than overall liking of kombucha in a yellow label (6.58). Facial expressions evoked by kombucha were generally low in intensities; although no significant differences existed in facial expressions evoked by two labels (p>0.05), 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.
Jiang, Funan, "Investigation of Consumer Acceptability of Beverages Through Automated Facial Expression Analysis and Overall Liking" (2020). All Theses. 3428.