The reward value of a stimulus is based on an error in prediction: Things going better than predicted. Could this learning principle, often tested on short acting stimuli, also apply to a long lasting episode, like going for a run? Could how rewarding a run is be based on the run going better than predicted?

 

Understanding the conditions under which exercise is pleasurable could of course be relevant to tempting people to do more of it! Brevers et al. (2023) will ask people before a daily run to predict the amount of perceived exertion they will experience; then just after the run, to rate the retrospective amount of perceived exertion actually experienced. The difference between the two ratings is the prediction error.

 

Participants will also rate their remembered pleasure in running and the authors will investigate whether running pleasure depends on prediction error.
 
The study plan was refined across four rounds of review, with input from two external reviewers and the recommender, after which it was judged to satisfy the Stage 1 criteria for in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/xh724
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.
 
List of eligible PCI RR-friendly journals:
 

 

References
 
1. Brevers, D., Martinent, G., Oz, I. T., Desmedt, O. & de Geus, B. (2023). Do error predictions of perceived exertion inform the level of running pleasure? In principle acceptance of Version 5 by Peer Community in Registered Reports. https://osf.io/xh724