Social and non-social feedback stimuli lead to comparable levels of reward learning and reward responsiveness in an online probabilistic reward task
-
Published:2023-10-16
Issue:
Volume:
Page:
-
ISSN:1554-3528
-
Container-title:Behavior Research Methods
-
language:en
-
Short-container-title:Behav Res
Author:
Sailer UtaORCID, Wurm FranzORCID, Pfabigan Daniela M.ORCID
Abstract
AbstractSocial stimuli seem to be processed more easily and efficiently than non-social stimuli. The current study tested whether social feedback stimuli improve reward learning in a probabilistic reward task (PRT), in which one response option is usually rewarded more often than the other via presentation of non-social reward stimuli. In a pre-registered online study with 305 participants, 75 participants were presented with a non-social feedback stimulus (a star) and information about gains, which is typically used in published PRT studies. Three other groups (with 73–82 participants each) were presented with one of three social feedback stimuli: verbal praise, an attractive happy face, or a “thumbs up”-picture. The data were analysed based on classical signal detection theory, drift diffusion modelling, and Bayesian analyses of null effects. All PRT variants yielded the expected behavioural preference for the more frequently rewarded response. There was no processing advantage of social over non-social feedback stimuli. Bayesian analyses further supported the observation that social feedback stimuli neither increased nor decreased behavioural preferences in the PRT. The current findings suggest that the PRT is a robust experimental paradigm independent of the applied feedback stimuli. They also suggest that the occurrence of a processing advantage for social feedback stimuli is dependent on the experimental task and design.
Funder
Norges Forskningsråd ERA-NET-NEURON JTC 2020 South-Eastern Norway Regional Health Authority University of Bergen
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Reference62 articles.
1. Allport, F. H. (1920). The influence of the group upon association and thought. Journal of Experimental Psychology, 3(3), 159–182. https://doi.org/10.1037/h0067891 2. Barch, D. M., Carter, C. S., Gold, J. M., Johnson, S. L., Kring, A. M., MacDonald, A. W., . . . , Strauss, M. E. (2017). Explicit and implicit reinforcement learning across the psychosis spectrum. Journal of Abnormal Psychology, 126(5), 694–711. https://doi.org/10.1037/abn0000259 3. Bress, J. N., & Hajcak, G. (2013). Self-report and behavioral measures of reward sensitivity predict the feedback negativity. Psychophysiology, 50(7), 610–616. https://doi.org/10.1111/psyp.12053 4. Bridges, D., Pitiot, A., MacAskill, M. R., & Peirce, J. W. (2020). The timing mega-study: Comparing a range of experiment generators, both lab-based and online. PeerJ, 8, e9414. https://doi.org/10.7717/peerj.9414 5. Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., . . . , Riddell, A. (2017). Stan: A Probabilistic Programming Language. Journal of Statistical Software, 76(1), 1–32. https://doi.org/10.18637/jss.v076.i01
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|