Consumer perception of milk with different fat content: Integrating check-all-that-apply, quantitative descriptive analysis, rate-all-that-apply, and facial emotion analysis

As public concern over the potential health risks associated with high-fat diets intensifies, the market for low-fat dairy is experiencing a surge in demand. However, sensory characteristics, including flavor and mouthfeel, significantly influence consumer preferences, underscoring the importance of understanding how these attributes affect overall acceptance of milk. This study employs check-all-that-apply, quantitative descriptive analysis, rate-all-that-apply, and facial emotion intensity to dissect the sensory attributes of skimmed, low-fat, and whole milk and their influence on consumer satisfaction. The findings indicate that whole milk is rated higher in terms of mouthfeel thickness, milkiness, creaminess, and overall preference, whereas skimmed and low-fat milks are perceived as less favorable. Consumers can recognize differences in milk fat content by selecting descriptive terms, with 12 sensory terms serving as key discriminators. Facial emotion analysis reveals significant emotional responses from consumers before and after swallowing different milk types, with whole milk provoking more pronounced positive emotions. Positive sensory attributes of milk are positively correlated with consumers' pleasurable emotional responses. Five pivotal indicators, including happy emotions before swallowing, serve as potential markers for distinguishing milk with varying fat content. Our findings provide new insights into flavor design and marketing strategies for low-fat dairy products.

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Publication Details

Journal
Journal of Dairy Science
Published
2025-10-10
DOI
https://doi.org/10.3168/jds.2025-26895
Citations
1
Primary Topic
Culinary Culture and Tourism
Type
article
Field-Weighted Citation Impact
1.16
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article

Consumer perception of milk with different fat content: Integrating check-all-that-apply, quantitative descriptive analysis, rate-all-that-apply, and facial emotion analysis

Yanmei Xi, Yufang Su, Jianying He, Xuelu Chi et al.
1 citations
Journal of Dairy Science
Culinary Culture and Tourism
1.16
article

Consumer perception of milk with different fat content: Integrating check-all-that-apply, quantitative descriptive analysis, rate-all-that-apply, and facial emotion analysis

Yanmei Xi, Yufang Su, Jianying He, Xuelu Chi, Nasi Ai, Lunaike Zhao, Weizhe Wang, A.F. An, Baoguo Sun, Jianfeng Wang
article en
1 citations

Abstract

As public concern over the potential health risks associated with high-fat diets intensifies, the market for low-fat dairy is experiencing a surge in demand. However, sensory characteristics, including flavor and mouthfeel, significantly influence consumer preferences, underscoring the importance of understanding how these attributes affect overall acceptance of milk. This study employs check-all-that-apply, quantitative descriptive analysis, rate-all-that-apply, and facial emotion intensity to dissect the sensory attributes of skimmed, low-fat, and whole milk and their influence on consumer satisfaction. The findings indicate that whole milk is rated higher in terms of mouthfeel thickness, milkiness, creaminess, and overall preference, whereas skimmed and low-fat milks are perceived as less favorable. Consumers can recognize differences in milk fat content by selecting descriptive terms, with 12 sensory terms serving as key discriminators. Facial emotion analysis reveals significant emotional responses from consumers before and after swallowing different milk types, with whole milk provoking more pronounced positive emotions. Positive sensory attributes of milk are positively correlated with consumers' pleasurable emotional responses. Five pivotal indicators, including happy emotions before swallowing, serve as potential markers for distinguishing milk with varying fat content. Our findings provide new insights into flavor design and marketing strategies for low-fat dairy products.

Journal of Dairy ScienceVol. 108(12)
Beijing Technology and Business University (CN)
Openalex Percentile: Top 17%
Culinary Culture and Tourism
1.16
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