Robot versus human barista: Comparison of volatile compounds and consumers' acceptance, sensory profile, and emotional response of brewed coffee.
Food Res Int
; 172: 113119, 2023 10.
Article
en En
| MEDLINE
| ID: mdl-37689885
ABSTRACT
The increasing trend of integrating robots into the food industry has sparked debates regarding their potential influence on consumer attitudes toward food technology. This study investigated volatile compound profiles via gas chromatography-mass spectrometry (GC-MS), consumer acceptability, sensory profiling, and emotional responses of consumers toward coffee samples brewed by robot and human baristas. Moreover, the effect of the robot experience on food technology neophobia (FTN) was investigated. The principal component analysis of the volatile compound profiles revealed that the samples by the robot barista exhibited a higher degree of similarity compared to those prepared by the human barista. The range of relative standard deviations of volatile compounds from the robot barista brewed coffee was 1.4-83.1% and the variation was smaller than that of the human barista, which was 5.0-118.3%. Participants had a significant decrease in FTN scores after evaluating the robot-brewed coffee (p < 0.05), but there was no significant difference in FTN scores before and after evaluating the coffee brewed by the human barista (p > 0.05). Sensory evaluation studies revealed no significant differences in acceptability ratings and purchase intentions between the two groups (p > 0.05). However, emotional responses to the coffee samples significantly varied, with the robot-brewed coffee inducing more dynamic and positive emotions and the human-brewed coffee inducing more static and positive emotions (p < 0.05). Overall, this study provides valuable insights into consumer attitudes toward food robot service to humans and indicates that consumer's experience with food robots may significantly reduce FTN (p < 0.001).
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Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Robótica
/
Restrictiva
Límite:
Humans
Idioma:
En
Año:
2023
Tipo del documento:
Article