JOURNAL ARTICLE

Temporal expectations in delay of gratification.

  • Published In: Journal of the Experimental Analysis of Behavior, 2023, v. 119, n. 1. P. 59 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Haynes, Jeremy M.; Willis‐Moore, Mariah E.; Perez, D.; Cousins, Devanio J.; Odum, Amy L. 3 of 3

Abstract

We examined how temporal expectations influence preference reversals in a delay of gratification task for rats based on a hypothesis of Rachlin (2000), who suggested that preference for a larger‐later reward may shift in favor of a smaller‐immediate reward as a result of changes in when that larger reward is expected. To explore Rachlin's hypothesis, we preexposed two groups of rats to the delays associated with a larger‐later reinforcer from a delay of gratification task. One group experienced the delays as a function of their choices in an intertemporal choice task and the other group experienced delays yoked from the first group (independent of their behavior) in an exposure training procedure. In addition, we included a third group of rats that were not exposed to delays during preexposure training as a comparison to the other two groups. Overall, the two groups of rats that experienced delays during preexposure training tended to make fewer defection responses than the comparison group during the delay of gratification task. Consistent with Rachlin's hypothesis, our results suggest that temporal learning may influence preference reversals in a delay of gratification task, providing a number of future directions for research in this area. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of the Experimental Analysis of Behavior. 2023/01, Vol. 119, Issue 1, p59
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:0022-5002
  • DOI:10.1002/jeab.814
  • Accession Number:161473848
  • Copyright Statement:Copyright of Journal of the Experimental Analysis of Behavior is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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