An open-access repository dedicated to advancing empirical research, behavioral systems, and applied behavior analysis in domestic canine science.
Traditional canine behavioral studies frequently suffer from selection bias, isolating data to highly compliant subjects under sterile conditions. This paper introduces a multi-tiered engagement architecture designed to aggregate both high-fidelity clinical intervention data and unconstrained real-world observational data...
Intervention drift remains a primary point of failure in home-based behavioral modification programs. We examine the efficacy of automated artificial intelligence protocol generation coupled with real-time statistical anomaly detection to intercept compliance decay, maintain protocol fidelity, and improve overall behavioral outcomes.
Calculating and verifying Inter-Observer Agreement (IOA) in field-based single-case experimental designs is often administratively prohibitive. This paper evaluates a cloud-based algorithmic workflow for automated IOA calculation, streamlining data validation for academic labs, student practicums, and professional consultants.