Optimizing Dimensions of Reinforcement

Summary

This study is designed to better understand how certain features of reinforcement affect learning and motivation in individuals with intellectual and developmental disabilities (IDD). Participants will take part in a series of structured teaching sessions that involve simple tasks and reward-based feedback. By changing the timing and amount of rewards, we aim to learn how these factors influence the ability to acquire and maintain new skills. This information may help improve behavioral interventions for individuals with IDD in the future. The study does not involve medications or procedures intended to change participants' health status.

Detailed Description

This study examines how key parameters of reinforcement-specifically the timing and amount of rewards-affect learning, motivation, and performance in individuals with intellectual and developmental disabilities (IDD). The experimental design is informed by the Mathematical Principles of Reinforcement (MPR), a quantitative framework for understanding the relationship between reinforcement schedules and behavior. Participants will complete tabletop tasks in a controlled setting. Tasks are designed to be simple and accessible, such as pressing a button or selecting a picture, and correct responses will earn small rewards. Across sessions, we will systematically vary reinforcement parameters, including inter-reinforcement interval and reinforcer magnitude, to evaluate their effects on response rate, accuracy, and persistence. This is a Basic Experimental Studies with Humans (BESH) clinical trial, meaning the interventions are intended to understand fundamental behavioral processes, not to produce direct clinical benefit. The data will be analyzed using statistical models derived from MPR to identify which reinforcement dimensions are most effective in maintaining high rates of responding. The results may help refine behavior intervention strategies for individuals with IDD by providing an evidence-based understanding of how to optimize reinforcement delivery.

Eligibility Criteria

Interventions