Apart from everyday duties, such as doing the laundry or cleaning the house, there are tasks we do for pleasure and enjoyment. We do such tasks, like solving crossword puzzles or reading novels, without any external pressure or force; instead, we are intrinsically motivated: we do the tasks because we enjoy doing them. Previous studies suggest that external rewards, i.e., rewards from the outside, affect the intrinsic motivation to engage in a task: while performance-based monetary rewards are perceived as controlling and induce a business-contract framing, verbal rewards praising one's competence can enhance the perceived self-determination. Accordingly, the former have been shown to decrease intrinsic motivation, whereas the latter have been shown to increase intrinsic motivation. The present study investigated the neural processes underlying the effects of monetary and verbal rewards on intrinsic motivation in a group of 64 subjects applying functional magnetic resonance imaging (fMRI). We found that, when participants received positive performance feedback, activation in the anterior striatum and midbrain was affected by the nature of the reward; compared to a non-rewarded control group, activation was higher while monetary rewards were administered. However, we did not find a decrease in activation after reward withdrawal. In contrast, we found an increase in activation for verbal rewards: after verbal rewards had been withdrawn, participants showed a higher activation in the aforementioned brain areas when they received success compared to failure feedback. We further found that, while participants worked on the task, activation in the lateral prefrontal cortex was enhanced after the verbal rewards were administered and withdrawn.
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http://dx.doi.org/10.3389/fnins.2014.00303 | DOI Listing |
J Appl Gerontol
January 2025
San Francisco Division of Geriatrics, Department of Medicine, University of California, San Francisco, CA, USA.
In the United States, spouses provide 17% of in-home care for people living with dementia. Negative impacts of dementia care on spouses/partners are well-documented, but we lack information about the holistic experience for spouses/partners. We conducted a secondary thematic analysis of data from two observational studies about everyday music engagement and dementia care at home.
View Article and Find Full Text PDFContingency management (CM), an evidence-based behavioral strategy that rewards positive behavior change including tobacco cessation, is rarely offered to support people with HIV (PWH) who smoke. In this study, we explored perspectives among patients and research staff engaged in a multi-site randomized clinical trial involving clinical pharmacist-delivered CM within HIV clinics. Between February and September 2023, we conducted 1:1 interviews with 12 PWH randomized to receive CM and one focus group with 8 staff (i.
View Article and Find Full Text PDFJ Multidiscip Healthc
December 2024
Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Purpose: Workplace violence (WPV) against healthcare workers is a significant public health issue in China and globally. Although the effort-reward imbalance theory claimed that work rewards may moderate the relationship between work effort and WPV, the quantitative evidence is limited. This study aimed to examine if work reward could moderate the associations between work effort and WPV against medical staff based on the effort-reward imbalance theory.
View Article and Find Full Text PDFCognition
December 2024
Department of Psychology, University of Warwick, Coventry CV4 7AL, United Kingdom. Electronic address:
People given written descriptions often learn and decide differently from those learning from experience, even in formally identical tasks. This paper presents two experiments detailing how telling participants about the value of one stimulus impacts a keystone learning effect - blocking. The paper investigates if descriptions can be used to effectively block future trial-by-trial learning.
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