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Updated: May 10, 2026

Studying Food Reward and Motivation in Humans
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Studying Food Reward and Motivation in Humans

Published on: March 19, 2014

Defining reward value by cross-modal scaling.

Anna H Casey1, Alan Silberberg, Annika Paukner

  • 1Department of Psychology, American University, Washington, DC, 20016, USA, annahcasey@gmail.com.

Animal Cognition
|June 18, 2013
PubMed
Summary

Cross-modal scaling using a less substitutable third food offers a better method for determining food value differences in comparative psychology than simple preference tests.

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Area of Science:

  • Comparative psychology
  • Behavioral economics

Background:

  • Pre-experimental preference tests are commonly used to rank food rewards in animal studies.
  • These tests provide limited insight into value differences due to potential substitutability between foods.

Purpose of the Study:

  • To introduce and evaluate a novel method, cross-modal scaling, for more accurately assessing value differences between food rewards.
  • To determine if using a less substitutable third food improves value difference estimations compared to traditional preference tests.

Main Methods:

  • Cebus monkeys were presented with pairwise choices involving fruits and cereal amounts.
  • Cereal amounts were adjusted to create indifference points between cereal and fruit options.
  • Choices included fruit-fruit, cereal-cereal, and fruit-cereal pairings to assess substitutability.

Main Results:

  • Monkeys showed strong preferences between perfect substitutes (cereal amounts) and close substitutes (fruits).
  • Preferences were more moderate and less influenced by substitutability when choosing between fruits and cereal.
  • Cross-modal scaling revealed more nuanced value differences than simple preference rankings.

Conclusions:

  • Cross-modal scaling, utilizing a less substitutable third good, provides a more accurate measure of between-good value differences.
  • This method enhances the understanding of value perception in comparative psychology beyond simple preference rankings.

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