Coffee label assessment using sensory and biometric analysis of self-isolating panelists through videoconference

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Abstract

0.99) using six different label concepts: (i) fun, (ii) bold, (iii) natural, (iv) everyday, (v) classic, and (vi) premium. The results show that the label concept rated as having the highest perceived quality was premium, presenting significant differences (p < 0.05) compared to all of the other concepts. The least perceived quality score was attributed to the bold concept due to the confronting aroma lexicon (cheese dip), which is supported by previous studies. Furthermore, even though graphics, colors, and the product name can be considered positive attributes, they do not determine perceived quality or purchase intention, which was found for the bold, everyday, and classic concepts. The findings from this study were as expected and are consistent with those from similar publications related to labels, which shows that the proposed virtual method for sensory sessions and biometrics is reliable. Further technology has been proposed to use this system with multiple participants, which could help beverage companies perform virtual sensory analysis of new products’ labels.

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APA

Viejo, C. G., Zhang, H., Khamly, A., Xing, Y., & Fuentes, S. (2021). Coffee label assessment using sensory and biometric analysis of self-isolating panelists through videoconference. Beverages, 7(1), 1–15. https://doi.org/10.3390/beverages7010005

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