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

透视图(图形) 感知 感觉系统 计算机科学 认知心理学 心理学 人工智能 神经科学
作者
Qian Zhao,Zhiyue Ye,Yong Deng,Jin Chen,Jianle Chen,Donghong Liu,Xingqian Ye,Huan Cheng
出处
期刊:Comprehensive Reviews in Food Science and Food Safety [Wiley]
卷期号:23 (2) 被引量:1
标识
DOI:10.1111/1541-4337.13327
摘要

Abstract Food 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.
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