Novel Method to Conduct Remote Sensory Sessions and Biometrics during Isolation †
Abstract
:
, and valence and relaxed subconscious responses. On the other hand, the Everyday label was associated with pleasantness, colors as preferred AOI,
,
,
, and subconscious responses such as Joy and Smile (Figure in the Poster as Supplementary Material) [1]. Study 2 showed that consumers had more positive emotions and higher perceived quality towards beers, with higher liking of foam-related parameters. In Study 3, using GAPED images, based on the self-reported and subconscious responses, participants were able to correctly distinguish positive, neutral, and negative images [2]. On the other hand, in Study 4, the trained panel was able to accurately assess the intensity of aromas in different wine samples (Shiraz and Chardonnay) [3]. Conclusions: Findings were consistent with those from similar studies from previous publications conducted in a sensory laboratory [4,5,6,7,8,9], which confirms the reliability of the proposed virtual method. Further developments involve the assessment of multiple participants to record their biometrics simultaneously and optimize the sensory session time.Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Gonzalez Viejo, C.; Zhang, H.; Khamly, A.; Xing, Y.; Fuentes, S. Coffee Label Assessment Using Sensory and Biometric Analysis of Self-Isolating Panelists through Videoconference. Beverages 2021, 7, 5. [Google Scholar] [CrossRef]
- Viejo, C.G.; Fuentes, S.; Anda-Lobo, I.C.D.; Hernandez-Brenes, C. Remote sensory assessment of beer quality based on visual perception of foamability and biometrics compared to standard emotional responses from affective images. J. Food Res. Int. 2022, 156, 111341. [Google Scholar] [CrossRef] [PubMed]
- Fuentes, S.; Gonzalez Viejo, C.; Hall, C.; Tang, Y.; Tongson, E. Berry Cell Vitality Assessment and the Effect on Wine Sensory Traits Based on Chemical Fingerprinting, Canopy Architecture and Machine Learning Modelling. Sensors 2021, 21, 7312. [Google Scholar] [CrossRef] [PubMed]
- Gonzalez Viejo, C.; Fuentes, S.; Howell, K.; Torrico, D.; Dunshea, F. Integration of non-invasive biometrics with sensory analysis techniques to assess acceptability of beer by consumers. Physiol. Behav. 2019, 200, 139–147. [Google Scholar] [CrossRef] [PubMed]
- Gonzalez Viejo, C.; Fuentes, S.; Howell, K.; Torrico, D.; Dunshea, F.R. Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications. Food Control 2018, 92, 72–79. [Google Scholar] [CrossRef]
- Fuentes, S.; Torrico, D.D.; Tongson, E.; Gonzalez Viejo, C. Machine learning modeling of wine sensory profiles and color of vertical vintages of Pinot Noir based on chemical fingerprinting, weather and management data. Sensors 2020, 20, 3618. [Google Scholar] [CrossRef] [PubMed]
- Gunaratne, N.M.; Viejo, C.G.; Gunaratne, T.M.; Torrico, D.D.; Ashman, H.; Dunshea, F.R.; Fuentes, S. Effects of imagery as visual stimuli on the physiological and emotional responses. J 2019, 2, 206–225. [Google Scholar] [CrossRef]
- Gunaratne, N.M.; Fuentes, S.; Gunaratne, T.M.; Torrico, D.D.; Ashman, H.; Francis, C.; Gonzalez Viejo, C.; Dunshea, F.R. Consumer acceptability, eye fixation, and physiological responses: A study of novel and familiar chocolate packaging designs using eye-tracking devices. Foods 2019, 8, 253. [Google Scholar] [CrossRef] [PubMed]
- Gunaratne, N.M.; Fuentes, S.; Gunaratne, T.M.; Torrico, D.D.; Francis, C.; Ashman, H.; Viejo, C.G.; Dunshea, F.R. Effects of packaging design on sensory liking and willingness to purchase: A study using novel chocolate packaging. Heliyon 2019, 5, e01696. [Google Scholar] [CrossRef] [PubMed]
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Gonzalez Viejo, C.; Tongson, E.; Fuentes, S. Novel Method to Conduct Remote Sensory Sessions and Biometrics during Isolation. Biol. Life Sci. Forum 2021, 6, 88. https://doi.org/10.3390/Foods2021-10959
Gonzalez Viejo C, Tongson E, Fuentes S. Novel Method to Conduct Remote Sensory Sessions and Biometrics during Isolation. Biology and Life Sciences Forum. 2021; 6(1):88. https://doi.org/10.3390/Foods2021-10959
Chicago/Turabian StyleGonzalez Viejo, Claudia, Eden Tongson, and Sigfredo Fuentes. 2021. "Novel Method to Conduct Remote Sensory Sessions and Biometrics during Isolation" Biology and Life Sciences Forum 6, no. 1: 88. https://doi.org/10.3390/Foods2021-10959
APA StyleGonzalez Viejo, C., Tongson, E., & Fuentes, S. (2021). Novel Method to Conduct Remote Sensory Sessions and Biometrics during Isolation. Biology and Life Sciences Forum, 6(1), 88. https://doi.org/10.3390/Foods2021-10959

