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The goal of this study was to create and implement an intervention to reduce stereotypic behavior in a child with Autism. The participant was chosen based on a high occurrence of target behavior and was recruited through his treatment center. The target behaviors were selected based on the subjective evaluation of his treatment provider and parents. The dependent variable in this study was hand-flapping. The independent variable was DRO training that included a buzzer and a chime noise contingent on the presence or absence of stereotypy respectively. A Microsoft Kinect© 2.0 was used to track occurrence of target behavior and interact with a software program to deliver the IV contingent on the occurrence of the dependent variable. It is expected that the IV will result in a decreased frequency of the target behavior. This study will demonstrate the potential for automated implementation of a behavior plan to reduce stereotypic responses in children diagnosed with autism. The software and sensor keep interval time and signal a successful or failed interval; therefore making it easier for tutors, teachers, or parents to implement behavioral interventions, such as DRO, with children.
Brzezinski, Aaron, "Sensor-Enabled Reduction of Stereotypy" (2016). Honors Theses. 2709.
Honors Thesis-Open Access