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Discriminative Properties of Reinforcers Modulate Resurgence: Evidence from a Systematic Review.
Hunter C King1, Michael P Kranak1, John Michael Falligant2
1Department of Human Development and Child Studies, Oakland University, Oakland University Center for Autism, 456 Pioneer Drive, Rochester, MI 48309 USA.
Behavioral resurgence, or relapse, is influenced by reinforcer properties. This review suggests that the specific characteristics of reinforcers play a role in modulating behavioral resurgence.
Area of Science:
- Behavioral psychology
- Learning sciences
- Reinforcement theory
Background:
- Behavioral resurgence is a complex phenomenon explained by various theoretical frameworks.
- The contextual account suggests reinforcer properties influence relapse based on prior learning.
- This account is increasingly supported by basic and translational research.
Purpose of the Study:
- To systematically review studies examining the contextual account of behavioral resurgence.
- To analyze the impact of reinforcer characteristics on relapse in a three-phase experimental design.
- To identify future research directions for understanding and applying the contextual account.
Main Methods:
- Systematic literature review of six studies with seven experiments.
- Included studies used a three-phase design: target response reinforcement, alternative response reinforcement, and extinction.
- Summarized participant characteristics, experimental designs, reinforcement schedules, and reinforcer types.
Main Results:
- Preliminary evidence indicates that the discriminative properties of reinforcers modulate behavioral resurgence.
- Findings suggest that how reinforcers are perceived and learned influences relapse.
- The type of reinforcer may impact the likelihood and intensity of resurgence.
Conclusions:
- The contextual account of resurgence is supported by the reviewed literature.
- Further research is needed to explore incentivized choice, digital vs. physical reinforcers, and intervention applications.
- Understanding reinforcer properties is crucial for developing effective function-informed interventions for behavioral change.
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