Cited by 855Sensory Analysis and Statistical MethodsMultisensory perception and integrationNutrition, Health and Food Behavior

Sensory expectations based on product-extrinsic food cues: An interdisciplinary review of the empirical evidence and theoretical accounts

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Piqueras-Fiszman, Betina, Spence, Charles·2015·Food Quality and Preference

Abstract

This article constitutes a state-of-the-art review of the literature on the effects of expectations on the sensory perception of food and drink by humans. In the ‘Introduction’, we summarize the theoretical models of expectations that have been put forward. In the ‘Empirical research utilizing direct methods’ section, we describe the influence that expectations created by a variety of product extrinsic cues have on sensory perception, hedonic appraisal, and intake/consumption. We critically evaluate the evidence that has emerged from both laboratory studies and real-world research conducted in the setting of the restaurant, canteen, and bar. This literature review is focused primarily on those studies that have demonstrated an effect on tasting. Crucially, this review goes beyond previous work in the area by highlighting the relevant cognitive neuroscience literature (see the section ‘Applied research through the lens of cognitive neuroscience methods’) and the postulated psychological mechanisms of expectation in terms of recent accounts of predictive coding and Bayesian decision theory (see the ‘Predictive coding and expectations’ section).

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Crossref · 10.1016/j.foodqual.2014.09.013

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Authors
Piqueras-Fiszman, B., & Spence, C.
Affiliations
University of Oxford (GB)
Venue
Food Quality and Preference
Publisher
Elsevier BV
Published
2015-03
Volume
40
Pages
165-179
ISSN
0950-3293 (ISSN-L)
OpenAlex
W2028666120
Cited by
855
References
176
Citations by year
2026: 102 · 2025: 73 · 2024: 93 · 2023: 79 · 2022: 81 · 2021: 75 · 2020: 74 · 2019: 89 · 2018: 71 · 2017: 44 · 2016: 51 · 2015: 22 · 2013: 1
FWCI
55.83
Type
journal article
Language
en
Open access
Locations
  • Food Quality and Preference (publishedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Sensory Analysis and Statistical Methods
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
sensory expectations, food cues, food perception, dietary intake, predictive coding, Bayesian decision theory

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