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Abstract Fomite‐mediated self‐infection via face touching is an understudied transmission pathway for infectious diseases. We evaluated the effect of computer‐mediated vibrotactile cues (presented through experimental bracelets located on one or both hands of the participant) on the frequency of face touching among eight healthy adults in the community. We conducted a treatment evaluation totaling over 25,000 min of video observation. The treatment was evaluated through a multiple‐treatment design and hierarchical linear modeling. The one‐bracelet intervention did not produce significantly lower levels of face touching across both hands, whereas the two‐bracelet intervention did result in significantly lower face touching. The effect increased over repeated presentations of the two‐bracelet intervention, with the second implementation producing, on average, 31 fewer face‐touching percentual points relative to baseline levels. Dependent on the dynamics of fomite‐mediated self‐infection via face touching, treatment effects could be of public health significance. The implications for research and practice are discussed.

Abstract Problematic social media use can be characterized as that which interferes with relationships, work, school, or sleep. Currently, there are no empirically supported treatments for reducing problematic social media use. We tested a package intervention to reduce the daily duration of social media use measured by a smartphone application with nine undergraduate students who scored as “addicted” to social media via a version of the Internet Addiction Test. The package intervention included contingency management, automated notifications of application use, and the selection of alternative activities. The package intervention was effective at reducing the daily duration of social media use to goal levels, or below, for all participants. Eight out of nine participants showed a decrease in their Internet Addiction Test scores from pre‐ to postintervention, and overall, participants did not show an increase in the time spent engaged in their selected alternative activities. These findings demonstrate that social media use is amenable to behavioral treatment.

Abstract The reinforcer pathology model posits that core behavioral economic mechanisms, including delay discounting and behavioral economic demand, underlie adverse health decisions and related clinical disorders. Extensions beyond substance use disorder and obesity, however, are limited. Using a reinforcer pathology framework, this study evaluates medical adherence decisions in patients with multiple sclerosis. Participants completed behavioral economic measures, including delay discounting, probability discounting, and a medication purchase task. A medical decision‐making task was also used to evaluate how sensitivity to mild side effect risk and efficacy contributed to the likelihood of taking a hypothetical disease‐modifying therapy. Less steep delay discounting and more intense (greater) medication demand were independently associated with greater adherence to the medication decision‐making procedure. More generally, the pattern of interrelations between the medication‐specific and general behavioral economic metrics was consistent with and contributes to the reinforcer pathology model. Additional research is warranted to expand these models to different populations and health behaviors, including those of a positive health orientation (i.e., medication adherence).

Abstract Relapse following the successful treatment of problem behavior can increase the likelihood of injury and the need for more intensive care. Current research offers some predictions of how treatment procedures may contribute to relapse, and conversely, how the risk of relapse can be mitigated. This review describes relapse‐mitigation procedures with varying levels of support, the quantitative models that have influenced the research on relapse mitigation, different experimental methods for measuring relapse mitigation, and directions for future research. We propose that by viewing the implementation of relapse‐mitigation procedures as a means of producing behavioral inoculation , clinicians are placed in the proactive and intentional role of exposing their client's behavior to an array of reinforcement and stimulus conditions during treatment with the goal of decreasing the detrimental impact of future treatment challenges.

Abstract Studying relating of relational networks is a complex and challenging task. The main objective of the present study was to demonstrate relating within and across relational networks based on same/opposite and bigger/smaller contextual cues and establish antecedent control. After nonarbitrary pretraining of the contextual cues, two nonsense stimulus classes were established based on comparative relations. Participants were trained to select stimuli from an array of options based on a symbolic rule that established a relation between two stimuli: one of Network 1 and one of Network 2. Training involved relating Network 1 to Network 2, and testing assessed relating Network 2 to Network 1. Seven of eight participants reached the mastery criterion in training and responded accordingly in test. In a final stage, reinforcing and punishing consequences were varied systematically in the presence of two novel stimuli and antecedent control was observed for all 7 participants. Experiment 2 replicated the results of Experiment 1 but using contextual cues taken from natural language, and Experiment 3 sought to understand the effects of pretraining relational responding using natural language. The mastery criteria were reached by four of seven participants in Experiment 2 and by all eight participants in Experiment 3. Future studies could develop and refine the methods employed here in analyzing the relating of relational networks, thus allowing for an increasingly sophisticated behavior‐analytic account of human language and cognition.

Abstract This review sought to synthesize the literature on the reliability and validity of behavioral‐economic measures of demand and discounting in human research, introduce behavioral‐economic research methodologies for studying addictive behaviors, discuss gaps in the current literature, and review areas for future research. A total of 34 studies was included in this review. The discounting literature showed similar responding regardless of whether hypothetical or actual outcomes were used, though people tended to discount the outcome presented first more steeply, suggesting order effects. Although delay‐discounting measures seem to show temporal stability, exceptions were found for probability‐ and experiential‐discounting tasks. The demand literature also demonstrated similar responding regardless of outcome type; however, some demand indices showed exceptions. Randomized price sequences tended to show modest increases in O max and α and modestly higher rates of inconsistent or nonsystematic responses compared with sequential price sequences. Demand indices generally showed temporal stability, although the stability was weaker the larger the time interval between test sessions. Future studies would benefit by examining addictive commodities beyond alcohol, nicotine, and money; examining temporal stability over longer time intervals; using larger delays in discounting tasks; and using larger sample sizes.

Abstract The persistence of operant behavior when disrupted tends to be positively related to how often reinforcers were delivered in the past. Behavioral momentum theory describes this finding as the outcome of Pavlovian processes. That is, the relation between discriminative stimuli and reinforcers that were delivered in their presence strengthens behavior, thereby making it more likely to persist. If only the story were that simple. A growing number of findings challenge the basic tenets of behavioral momentum theory. Some even call into question whether Pavlovian relations contribute to persistence in the first place. In this paper, I will review behavioral momentum theory and some of the data that have been problematic for the theory. I will argue that despite these very real challenges, the theory provides important utility not only to basic analyses of response persistence but also to clinical interventions directed at long‐term reductions in problem behavior. It, for example, has set the stage for the development of alternative conceptual analyses of resistance to change, two of which will be highlighted for readers. Moreover, behavioral momentum theory may tell us something important about the reasons it continues to have an influence on the field, despite the challenging data that deter it.

Abstract This study provides an initial translational examination of response effort and resurgence. Eleven typically developing adults and five adolescents with autism served as participants across two experiments. Participants received points for touching moving stimuli on a computer screen. The resurgence evaluation consisted of three phases: establishment wherein R1 was reinforced, elimination wherein R1 was placed on extinction while R2 was reinforced, and extinction wherein R1 and R2 no longer resulted in reinforcement. Rate of R1 during extinction was compared across three conditions: intermediate, easy, and difficult. Disparity in effort was created by manipulations of the size and speed of objects that moved about on a computer screen. In Experiment 2, control stimuli were added to the experimental arrangement. Across the two experiments, the magnitude of resurgence was greater when R1 was easy. In Experiment 2, both R1 and control responding were greater in the extinction phase than in the elimination phase in all conditions with all participants. The present study supports the hypothesis that response effort affects resurgence and that less effortful responses are likely to recur with greater magnitude under conditions that produce resurgence than are their more effortful counterparts.

Abstract Behavioral momentum theory (BMT) suggests that resurgence of destructive behavior may be at least partly determined by the rate of alternative reinforcement, with lean schedules of reinforcement producing less resurgence than dense schedules. Findings from basic and translational studies have been mixed, and the effects of alternative reinforcement rate on resurgence remain unclear. In the current study, we conducted a within‐subject evaluation of resurgence during extinction with four children following functional communication training using dense and lean (BMT‐informed) schedules of alternative reinforcement. We observed no reliable differences in resurgence across the dense and lean conditions. We discuss implications of these findings in relation to future research using quantitative analyses to evaluate the relative effects of alternative reinforcement rate and other BMT‐based strategies for mitigating resurgence in applied settings.

Abstract Stimulus overselectivity describes strong control by one stimulus element at the expense of other equally relevant elements. Research suggests that control by underselected stimuli emerges following extinction of the overselected stimulus (“revaluation”) and the emergence is larger when overselectivity is greater. We compared such revaluation effects with a control compound or condition in two experiments. Human participants chose between compound S+ and S‐ stimuli. Then, to assess control by compound‐stimulus elements, participants chose between individual elements in a testing phase without feedback. The S+ element chosen most often (the overselected element) underwent revaluation, during which choice of that element was extinguished and choice of a novel element reinforced. Thereafter, participants completed a retesting phase. Revaluation reduced choice of the overselected element. Choice of the underselected element decreased for participants with low overselectivity but increased for participants with high overselectivity. This was not the case for a control compound that did not undergo revaluation (Experiments 1 and 2) or in a control condition in which the overselected element continued to be reinforced during revaluation (Experiment 2). These findings suggest that overselectivity levels may modulate revaluation effects, and they also highlight the importance of the contingency change in postrevaluation changes in stimulus control.