Applied behavior analysis (ABA) involves the study of human behavior and typically uses human data collectors to observe and measure behavior. Recent developments in technology have introduced various automated data-collection apparatuses that can measure human behavioral data useful to applied behavior-analysts. However, there have been very little extant literature on the use of automated data-collections in applied behavior-analytic research. The current review investigated the extent to which the field of ABA incorporates automated data-collection from selected ABA journals between 2010 to 2019. Of the 2,155 data-based articles selected for the current review, 9.74% (n = 207) used automated data-collection. Among these, 48.31% (n = 100) were coded as being applied research. Limitations and future research for automated data-collection in ABA are also discussed.
In this chapter we define behavioral systems and behavioral systems analysis with examples of contexts where behavioral systems may be used to fulfill ethical obligations of protecting consumers and providing high quality care. Specifically, we describe a systems approach to incorporate consumer choice into treatment decisions, monitoring adverse events in behavioral treatment, and develop and use consumer feedback loops to improve practice and standards. Where appropriate, we provide examples behavioral systems in visual or table format to help further illustrate the concept of a behavioral system to help support ethical behavior in practice.
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