The Psychology of Food Choice: Anticipation and Mental Simulation

Author(s):  
Betina Piqueras-Fiszman ◽  
Naomí Muñoz-Vilches
2020 ◽  
Vol 83 ◽  
pp. 103892 ◽  
Author(s):  
Naomí C. Muñoz-Vilches ◽  
Hans C.M. van Trijp ◽  
Betina Piqueras-Fiszman

Foods ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1099
Author(s):  
Naomí C. Muñoz-Vilches ◽  
Hans C. M. van Trijp ◽  
Betina Piqueras-Fiszman

Many times, desire possesses us and impedes us from making healthier food choices. From a grounded cognition perspective, we investigated the role of two types of mental simulation (process and outcome) in desire and food choice to understand the processes that modulate them and find strategies that encourage healthier food choices. In addition to these explicit measures, we used two implicit methods to measure approach-avoidance tendencies and visual attention. Our results showed that imagining the consumption of vice and virtue foods increased desire for the product imagined and seemed to favor the choice of a vice food. However, at an implicit level, the motivation to approach and avoid food products was neutral. Imagining the post-consumption of a vice food decreased desire for the imagined food and although it tempted people at an implicit level, it made people more prone to choose a virtue food. When a vice food was imagined, attentional bias increased for all types of food regardless of the simulation. When a virtue food was imagined, there was no effect on choice, motivation nor attentional bias. In conclusion, simply imagining certain foods is a potential solution for promoting healthier and thoughtful choices.


2020 ◽  
Vol 43 ◽  
Author(s):  
Kellen Mrkva ◽  
Luca Cian ◽  
Leaf Van Boven

Abstract Gilead et al. present a rich account of abstraction. Though the account describes several elements which influence mental representation, it is worth also delineating how feelings, such as fluency and emotion, influence mental simulation. Additionally, though past experience can sometimes make simulations more accurate and worthwhile (as Gilead et al. suggest), many systematic prediction errors persist despite substantial experience.


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