Empirically validating a computational model of automatic behavior shaping
Concave-up shaping routines most effectively generated target behavior, which should be confirmed in health behavior trials. The automatic shaping routines that this study helps develop can be applied in a number of domains, including exercise intensity and duration, tobacco/cannabis smoking, caloric intake, and screen time.
Authors
- Uri Maoz (ORCID: https://orcid.org/0000-0002-7899-1241)
- Vincent Berardi (ORCID: https://orcid.org/0000-0001-9760-6241)
- Tian Lan (ORCID: https://orcid.org/0009-0008-6395-9477)
- Ariane Guirguis
Institutions
- California Institute of Technology (US)
- Chapman University (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1371/journal.pone.0313925
- Primary Topic
- Behavioral and Psychological Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00