Renewal and resurgence phenomena generalize to Amazon's Mechanical Turk

Translational evaluation of on/off alternative reinforcement cycling

Cycling between the availability and unavailability of reinforcement for alternative responding has successfully reduced resurgence in basic laboratory evaluations, but this approach represents a marked departure from current standards of care when treating problem behavior, warranting careful translation before its use clinically. Therefore, with extinction arranged for target responding across groups in Phase 2, we evaluated the effects of cycling between the availability and unavailability of differential reinforcement of alternative behavior (DRA) using a computer-based task with adult humans recruited through Amazon MTurk. Two control groups experienced constant DRA in Phase 2, with one group experiencing a dense DRA schedule and another group experiencing a lean DRA schedule. The cycling DRA group tended to show greater reductions in target responding and improved discrimination in Phase 2 and less target responding across Phases 2 and 3 than the lean DRA and dense DRA groups. These preliminary findings suggest that on/off DRA cycling procedures may produce more desirable treatment outcomes than constant DRA without producing negative side effects; however, further research is needed to confirm these possibilities.

Operant ABA renewal during dense and lean schedules of differential reinforcement

Renewal is a type of relapse that occurs due to a change in context. Previous research has demonstrated that renewal of target responding may occur despite the availability of differential reinforcement for an alternative response (DRA). Nevertheless, the current literature on renewal presents mixed findings regarding the effects of dense and lean schedules of DRA on the magnitude of renewal. We used a translational approach with undergraduate college students and a task on a touchscreen tablet device to study the effects of dense and lean schedules of DRA during repeated renewal tests. All participants experienced two, three-phase ABA renewal arrangements. In the dense and lean renewal arrangements, we differentially reinforced alternative behavior in Context B and the renewal test in Context A on a VI 3-s or a VI 12-s schedule, respectively. Overall, we observed renewal in 31/36 (86%) renewal tests regardless of the density of reinforcement for the alternative response. Furthermore, the results showed that although renewal occurred in both arrangements, we found slightly higher magnitudes of renewal during DRA with lean schedules of reinforcement relative to dense schedules. We discuss the implications of these findings as they relate to the treatment of problem behavior.

A Comprehensive Systematic Review of Procedures and Analyses Used in Basic and Preclinical Studies of Resurgence, 1970-2020

Resurgence is the return of a previously reinforced response as conditions worsen for an alternative response, such as the introduction of extinction, reductions in reinforcement, or punishment. As a procedure, resurgence has been used to model behavioral treatments and understand behavioral processes contributing both to relapse of problem behavior and flexibility during problem-solving. Identifying existing procedural and analytic methods arranged in basic/preclinical research could be used by basic and preclinical researchers to develop novel approaches to study resurgence, whereas translational and clinical researchers could identify potential approaches to combating relapse during behavioral interventions. Despite the study of resurgence for over half a century, there have been no systematic reviews of the basic/preclinical research on resurgence. To characterize the procedural and analytic methods used in basic/preclinical research on resurgence, we performed a systematic review consistent with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We identified 120 articles consisting of 200 experiments that presented novel empirical research, examined operant behavior, and included standard elements of a resurgence procedure. We reported prevalence and trends in over 60 categories, including participant characteristics (e.g., species, sample size, disability), designs (e.g., single subject, group), procedural characteristics (e.g., responses, reinforcer types, control conditions), criteria defining resurgence (e.g., single test, multiple tests, relative to control), and analytic strategies (e.g., inferential statistics, quantitative analysis, visual inspection). We make some recommendations for future basic, preclinical, and clinical research based on our findings of this expanding literature.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40614-022-00361-y.

Validating Human-Operant Software: A Case Example

Human-operant experiments conducted with computer software facilitate translational research by assessing the generality of basic research findings and exploring previously untested predictions about behavior in a cost-effective and efficient manner. However, previous human-operant research with computer-based tasks has included little or no description of rigorous validation procedures for the experimental apparatus (i.e., the software used in the experiment). This omission, combined with a general lack of guidance regarding how to thoroughly validate experimental software, introduces the possibility that nascent researchers may insufficiently validate their computer-based apparatus. In this paper, we provide a case example to demonstrate the rigor required to validate experimental software by describing the procedures we used to validate the apparatus reported by Smith and Greer (2021) to assess relapse via a crowdsourcing platform. The validation procedures identified several issues with early iterations of the software, demonstrating how failing to validate human-operant software can introduce confounds into similar experiments. We describe our validation procedures in detail so that others exploring similar computer-based research may have an exemplar for the rigorous testing needed to validate computer software to ensure precision and reliability in computer-based, human-operant experiments.

Phase duration and resurgence

Resurgence, the recurrence of responding due to a worsening of reinforcement conditions for current behavior, is a prevalent form of treatment relapse. Resurgence as Choice in Context predicts that increasing the duration of exposure to reinforcement for target responding during Phase 1 will increase resurgence magnitude, whereas increasing the duration of exposure to reinforcement for alternative responding and extinction for target responding during Phase 2 will decrease resurgence magnitude. We conducted an experiment evaluating these predictions with human participants recruited through Amazon's Mechanical Turk platform. We varied Phase 1 and Phase 2 durations across 4 experimental groups. Resurgence as Choice in Context successfully predicted the differences in resurgence magnitude across these groups, and fitting the quantitative model to the obtained data yielded an exceptional coefficient of determination. We discuss the implications of these results for using Resurgence as Choice in Context to inform experiments with human participants and the feasibility of using human-operant preparations to evaluate resurgence.

Evaluating effects of context changes on resurgence in humans

Laboratory models of relapse provide methods for evaluating challenges to behavioral treatments with differential reinforcement of an alternative response (DRA). Resurgence occurs with the worsening of conditions of reinforcement for appropriate behavior and renewal occurs when transitioning out of a treatment context. Across five experiments, participants recruited via online crowdsourcing pressed onscreen buttons to earn points exchangeable for money and contexts sometimes changed through changes in the background image. Returning to the training context (ABA, Experiment 1) and transitioning to a novel context (ABC, Experiment 2) produced greater resurgence when removing alternative reinforcement in comparison with remaining in the treatment context (ABB). In contrast, we observed little difference in resurgence among AAA, ABB, and AAC context manipulations (Experiment 3) and ABA, ABC, and AAC context manipulations (Experiment 4). In Experiment 5, we evaluated relative contributions of the presence versus absence of context changes (ABA vs. ABB) in combination with or without the removal of alternative reinforcement. Both changing context and removing alternative reinforcement increased responding in isolation and the combination produced greater-than-additive effects. Overall, the present findings demonstrate a consistent effect of removing alternative reinforcement on relapse that, under certain conditions, can be enhanced by context change.

Empirically Deriving Omission and Commission Errors for Relapse Tests: A Demonstration of Reverse Translation

Most studies examine treatment relapse by programming contextual changes with perfect treatment integrity or with omission errors in the absence of a context change (i.e., all alternative responses placed on extinction). Recently, Mitteer et al. (2018) examined caregiver behavior in response to a confederate playing the role of a child with destructive behavior, providing the opportunity for researchers to empirically derive reinforcement schedules and test caregiver error patterns within future relapse tests with children. The present study represents a pilot demonstration of methods for reverse translating findings from caregivers to relapse preparations with children. We used a human-operant arrangement with three children with autism spectrum disorder in which they (a) emitted a target response (i.e., pad touch) for a preferred item in a home-like context, (b) emitted an alternative response (e.g., card touch) for the item in a clinic context while the target response was extinguished, and (c) experienced a relapse test in which the experimenter programmed the same low-rate omission and commission errors that caregivers made in the prior study within the home-like context. During the relapse test, target responding approximated or exceeded baseline ranges for all cases, and alternative behavior extinguished for two of the three cases. We discuss how researchers might incorporate similar translation processes in future relapse research.

Evaluating Extinction, Renewal, and Resurgence of Operant Behavior in Humans with Amazon Mechanical Turk

Amazon Mechanical Turk (MTurk) is a crowdsourcing marketplace providing researchers with the opportunity to collect behavioral data from remote participants at a low cost. Recent research demonstrated reliable extinction effects, as well as renewal and resurgence of button pressing with MTurk participants. To further examine the generality of these findings, we replicated and extended these methods across six experiments arranging reinforcement and extinction of a target button press. In contrast to previous findings, we did not observe as reliable of decreases in button pressing during extinction (1) after training with VR or VI schedules of reinforcement, (2) in the presence or absence of context changes, or (3) with an added response cost for button pressing. However, we found that that a 1-point response cost for all button presses facilitated extinction to a greater extent than the absence of response cost. Nevertheless, we observed ABA renewal of button pressing when changing background contexts across phases and resurgence when extinguishing presses on an alternative button. Our findings suggest that MTurk could be a viable platform from which to ask and address questions about extinction and relapse processes, but further procedural refinements will be necessary to improve the replicability of control by experimental contingencies.