An advance in novel intelligent sensory technologies: From an implicit‐tracking perspective of food perception

Author:

Zhao Qian12,Ye Zhiyue12,Deng Yong12ORCID,Chen Jin1,Chen Jianle134,Liu Donghong1234ORCID,Ye Xingqian134,Cheng Huan1234ORCID

Affiliation:

1. College of Biosystems Engineering and Food Science, National‐Local Joint Engineering Research Center of Intelligent Food Technology and Equipment, Fuli Institute of Food Science, Zhejiang Key Laboratory for Agro‐Food Processing, Zhejiang International Scientific and Technological Cooperation Base of Health Food Manufacturing and Quality Control Zhejiang University Hangzhou China

2. Innovation Center of Yangtze River Delta Zhejiang University Jiaxing China

3. Zhongyuan Institute, Zhejiang University Zhengzhou China

4. Ningbo Innovation Center Zhejiang University Ningbo China

Abstract

AbstractFood sensory evaluation mainly includes explicit and implicit measurement methods. Implicit measures of consumer perception are gaining significant attention in food sensory and consumer science as they provide effective, subconscious, objective analysis. A wide range of advanced technologies are now available for analyzing physiological and psychological responses, including facial analysis technology, neuroimaging technology, autonomic nervous system technology, and behavioral pattern measurement. However, researchers in the food field often lack systematic knowledge of these multidisciplinary technologies and struggle with interpreting their results. In order to bridge this gap, this review systematically describes the principles and highlights the applications in food sensory and consumer science of facial analysis technologies such as eye tracking, facial electromyography, and automatic facial expression analysis, as well as neuroimaging technologies like electroencephalography, magnetoencephalography, functional magnetic resonance imaging, and functional near‐infrared spectroscopy. Furthermore, we critically compare and discuss these advanced implicit techniques in the context of food sensory research and then accordingly propose prospects. Ultimately, we conclude that implicit measures should be complemented by traditional explicit measures to capture responses beyond preference. Facial analysis technologies offer a more objective reflection of sensory perception and attitudes toward food, whereas neuroimaging techniques provide valuable insight into the implicit physiological responses during food consumption. To enhance the interpretability and generalizability of implicit measurement results, further sensory studies are needed. Looking ahead, the combination of different methodological techniques in real‐life situations holds promise for consumer sensory science in the field of food research.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Wiley

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