Sánchez-Gómez, Claudia
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Preferred name
Sánchez-Gómez, Claudia
Official Name
Sánchez Gómez, Claudia Nallely
Alternative Name
cnsanchez
Main Affiliation
ORCID
Scopus Author ID
57201851558
Researcher ID
DTU-3417-2022

Research Output

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A comparative analysis of finite element programs for their implementation in a graphic tool of insulated power cables

2017 , Gutiérrez, Sebastián , Sánchez-Gómez, Claudia , Jeronimo Alvarez , Domínguez-Soberanes, Julieta

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Consumer Acceptances Through Facial Expressions of Encapsulated Flavors Based on a Nanotechnology Approach

2018 , Álvarez-Pato, Víctor M. , Domínguez-Soberanes, Julieta , Sánchez-Gómez, Claudia , Gutiérrez, Sebastián , Bryan Lopez , Rodrigo Quiroz , David E. Mendoza , Hector E. Buendia , Velázquez, Ramiro

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A Multisensor Data Fusion Approach for Predicting Consumer Acceptance of Food Products

2020 , Álvarez-Pato, Víctor M. , Sánchez-Gómez, Claudia , Domínguez-Soberanes, Julieta , Mendoza Pérez, David Eduardo , Velázquez, Ramiro

Sensory experiences play an important role in consumer response, purchase decision, and fidelity towards food products. Consumer studies when launching new food products must incorporate physiological response assessment to be more precise and, thus, increase their chances of success in the market. This paper introduces a novel sensory analysis system that incorporates facial emotion recognition (FER), galvanic skin response (GSR), and cardiac pulse to determine consumer acceptance of food samples. Taste and smell experiments were conducted with 120 participants recording facial images, biometric signals, and reported liking when trying a set of pleasant and unpleasant flavors and odors. Data fusion and analysis by machine learning models allow predicting the acceptance elicited by the samples. Results confirm that FER alone is not sufficient to determine consumers’ acceptance. However, when combined with GSR and, to a lesser extent, with pulse signals, acceptance prediction can be improved. This research targets predicting consumer’s acceptance without the continuous use of liking scores. In addition, the findings of this work may be used to explore the relationships between facial expressions and physiological reactions for non-rational decision-making when interacting with new food products.

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Liking Product Landscape: Going Deeper into Understanding Consumers’ Hedonic Evaluations

2019 , Sánchez-Gómez, Claudia , Domínguez-Soberanes, Julieta , Héctor B. Escalona-Buendía , Mario Graff , Gutiérrez, Sebastián , Gabriela Sánchez

The use of graphical mapping for understanding the comparison of products based on consumers’ perceptions is beneficial and easy to interpret. Internal preference mapping (IPM) and landscape segmentation analysis (LSA) have successfully been used for this propose. However, including all the consumers’ evaluations in one map, with products’ overall liking and attributes’ perceptions, is complicated; because data is in a high dimensional space some information can be lost. To provide as much information as possible, we propose the liking product landscape (LPL) methodology where several maps are used for representing the consumers’ distribution and evaluations. LPL shows the consumers’ distribution, like LSA, and also it superimposes the consumers’ evaluations. However, instead of superimposing the average overall liking in one map, this methodology uses different maps for each consumer’s evaluation. Two experiments were performed where LPL was used for understanding the consumers’ perceptions and compared with classic methodologies, IPM and cluster analysis, in order to validate the results. LPL can be successfully used for identifying consumers’ segments, consumers’ preferences, recognizing perception of product attributes by consumers’ segments and identifying the attributes that need to be optimized.

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Landscape images distance using kullback leibler divergence

2018 , Sánchez-Gómez, Claudia , Mario Graff , Domínguez-Soberanes, Julieta , Gutiérrez, Sebastián

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Facial Emotion Recognition: A Comparison of Different Landmark-Based Classifiers

2018 , Álvarez-Pato, Víctor M. , Sánchez-Gómez, Claudia , Gutiérrez, Sebastián , Domínguez-Soberanes, Julieta , Velázquez, Ramiro

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Night club recommendation system based on decision trees

2021 , Sánchez-Gómez, Claudia , Jose-Carlos Delgado-Gomez , Pablo Ramirez-Espana , Luis Garcia-Zermeno , Samantha Licea , Domínguez-Soberanes, Julieta

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Modeling of Amorphous-Carbon Cells for Molecular Dynamics Simulations

2019 , Sánchez-Gómez, Claudia , Domínguez-Soberanes, Julieta , ORTIZ-MEDINA, JOSUE

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Selecting crackling product based on sensory analysis by different statistical data approaches

2017 , G. Sanchez-Gutierrez , Domínguez-Soberanes, Julieta , G. Rodriguez-Serrano , H. Escalona-Buendia , Sánchez-Gómez, Claudia , Gutiérrez, Sebastián , Mario Graff

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Determinación de la aceptación de alimentos mediante reacciones fisiológicas del consumidor: un enfoque basado en aprendizaje automático

2021 , Domínguez-Soberanes, Julieta , Álvarez-Pato, Víctor M. , Sánchez-Gómez, Claudia , Mendoza Pérez, David Eduardo , Velázquez, Ramiro

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