Digital Technologies in Behavior Science

Theoretical and Practical Applications

Häftad, Engelska, 2026

AvDarlene Crone-Todd,Donald A. Hantula,T. V. Joe Layng

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Digital Technologies in Behavior Science is the first book of its kind to highlight innovative and cutting-edge work in the theory and application of digital technologies in behavior science.Bringing together the work of experts in the field, this edited book showcases current and future trends in the use of digital technologies in the behavioral sciences. The chapters outline the important historical, theoretical, and conceptual background for this timely field, looking at practical applications in varied settings. The book is divided into five sections and explores history and systems in behavior science, machine learning and artificial intelligence, the process and research, digital platforms, and health and human applications.This timely book will be essential reading for graduate and advanced undergraduate students of behavioral science, behavior analysis, and psychology. It will also be highly relevant for professional behavior analysts and all those interested in the future of behavior science.

Produktinformation

Utgivningsdatum2026-03-17
Mått178 x 254 x 9 mm
Vikt320 g
FormatHäftad
SpråkEngelska
SerieBehavior Science
Antal sidor172
FörlagTaylor & Francis Ltd
ISBN9781032462110

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Darlene E. Crone-Todd is Professor Emeritus in the Department of Psychology at Salem State University, USA.Donald A. Hantula is Associate Professor at the Department of Psychology and Neuroscience, College of Liberal Arts, Temple University. USA.T.V. Joe Layng is Adjunct Professor of Behavior Analysis, Endicott College, USA. He is also Co-founder and Partner of Generategy, an educational software company whose products are based on generative instruction principles.

Section 1: Foundations of Digital Technology and Behavioral Science 1. Technology and Computer Programming in Behavior Analysis: Historical Trends and Guidance for Behavior Analysts 2. Complex Systems Theory in Behavior Analysis 3. Behavioral Science in the Fourth Industrial Revolution; Section 2: Machine Learning, AI, and Predictive Models in Behavior Science 4. Machine Learning to Support Decision-Making in Behavior Analysis: Current Research and Future Directions 5. Reinforcement Learning in Behavior Science and Artificial Intelligence 6. Extending Neural Network Predictions of Human Behaviors; Section 3: Tools and Technologies for Research and Applications 7. An Updated and Simplified Version of a Low-Cost Arduino-Visual Basic Interface for Operant Research 8. Simulation-Based Assessment and Training 9. Using Virtual Reality within Behavior Analysis Practice 10. Behavioral and Digital Technologies in the Treatment of Substance Use Disorder 11. Developing AI Personas for Use in Behavior Analytic Training: A Case Study of an Autism Parent