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Comparing live and remote models in eating conformity research.

Justin R Feeney1, Janet Polivy, Patricia Pliner

  • 1Department of Psychology, University of Toronto-Mississauga, 3359 Mississauga Rd., Mississauga, Ontario, Canada. jfeeney3@uwo.ca

Eating Behaviors
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Summary
This summary is machine-generated.

People adjust their eating habits based on observing others, whether in person or through data. This study found both live and remote social modeling significantly influence eating behavior compared to eating alone.

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Area of Science:

  • Social Psychology
  • Behavioral Economics
  • Nutritional Science

Background:

  • Social conformity influences various human behaviors, including food intake.
  • Previous research indicates both live and remote social cues can affect eating patterns.

Purpose of the Study:

  • To compare the effects of live social modeling versus remote social modeling on participants' food consumption.
  • To test the assumption that remote models yield similar results to live models in influencing eating behavior.

Main Methods:

  • Participants were randomly assigned to one of three conditions: eating with a live model, eating with a remote model, or eating alone (control group).
  • Food intake was measured and compared across the different conditions.

Main Results:

  • Both live and remote social modeling significantly increased food consumption compared to the control group.
  • No significant difference in eating behavior was observed between participants exposed to live models and those exposed to remote models.

Conclusions:

  • Both live and remote social modeling are effective in influencing eating behavior.
  • The findings suggest that social influence on eating is robust, regardless of whether the model is physically present or represented remotely.