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Cited by 257

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Pleasure as a Substitute for Size: How Multisensory Imagery Can Make People Happier with Smaller Food Portions

Cornil, Yann, Chandon, Pierre·2016·Journal of Marketing Research

Abstract

Research on overeating assumes that pleasure must be sacrificed for the sake of good health. Contrary to this view, the authors show that focusing on sensory pleasure can make people happier and willing to spend more for less food, a triple win for public health, consumers, and companies alike. In five experiments, the authors ask U.S. and French adults and children to imagine vividly the taste, smell, and texture of three hedonic foods before choosing a portion size of another hedonic food. Compared with a control condition, this “multisensory imagery” intervention led hungry and nondieting people to choose smaller food portions, and they anticipated greater eating enjoyment and were willing to pay more for them. This occurred because multisensory imagery prompted participants to evaluate portions on the basis of expected sensory pleasure, which peaks with smaller portions, rather than hunger. In contrast, health-based interventions led people to choose a smaller portion than the one they expected to enjoy most—a hedonic cost for them and an economic cost for food marketers.

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Metadata

Authors
Cornil, Y., & Chandon, P.
Venue
Journal of Marketing Research
Published
2016-10
Volume
53
Issue
5
Pages
847-864
ISSN
  • 0022-2437 (ISSN-L)
  • 1547-7193
OpenAlex
W2109514330
Cited by
257
References
15
FWCI
10.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pleasure as a Substitute for Size: How Multisensory Imagery Can Make People Happier with Smaller Food Portions. https://app.cochat.ai/papers/10.1509/jmr.14.0299
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Cornil, Y., & Chandon, P. (2016). Pleasure as a Substitute for Size: How Multisensory Imagery Can Make People Happier with Smaller Food Portions. Journal of Marketing Research. https://doi.org/10.1509/jmr.14.0299

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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