Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation.
We demonstrate a method for capturing emotional response to beverages and liquefied foods in a sensory evaluation laboratory using automated facial expression analysis (AFEA) software. Additionally, we demonstrate a method for extracting relevant emotional data output and plotting the emotional response of a population over a specified time frame. By time pairing each participant's treatment response to a control stimulus (baseline), the overall emotional response over time and across multiple participants can be quantified. AFEA is a prospective analytical tool for assessing unbiased response to food and beverages. At present, most research has mainly focused on beverages. Methodologies and analyses have not yet been standardized for the application of AFEA to beverages and foods; however, a consistent standard methodology is needed. Optimizing video capture procedures and resulting video quality aids in a successful collection of emotional response to foods. Furthermore, the methodology of data analysis is novel for extracting the pertinent data relevant to the emotional response. The combinations of video capture optimization and data analysis will aid in standardizing the protocol for automated facial expression analysis and interpretation of emotional response data.
Food Science and Technology, Virginia Tech.
Courtney A
CA
Crist
Food Science and Technology, Virginia Tech; duncans@vt.edu.
Susan E
SE
Duncan
Civil and Environmental Engineering, Virginia Tech.
Daniel L
DL
Gallagher
Chem Senses. 2005 Jan;30 Suppl 1:i248-9
15738139
Physiol Behav. 2006 Sep 30;89(2):261-9
16857218
Chem Senses. 2010 Nov;35(9):841-53
20876392
Appetite. 2013 Dec;71:178-86
23994505
Front Psychol. 2014 Feb 13;5:110
24592246
PLoS One. 2014 Apr 08;9(4):e93823
24714107
Food Res Int. 2014 Oct;64:81-90
30011719
Child Dev. 1988 Dec;59(6):1555-68
3208567
Psychol Rev. 1987 Jan;94(1):23-41
3823304