Digital Technologies in Behavior Science: Theoretical and Practical Applications

by Donald A. Hantula (Editor), Darlene Crone-Todd (Editor), T. V. Joe Layng (Editor)

Overview

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.

Product Details

ISBN-13:	9781040735022
Publisher:	Taylor & Francis
Publication date:	03/17/2026
Series:	Behavior Science
Sold by:	Barnes & Noble
Format:	eBook
Pages:	172

About the Author

Donald Hantula is Associate Professor at the Department of Psychology, College of Liberal Arts, Temple University. USA.

Darlene E. Crone-Todd is Professor in the Department of Psychology at Salem State University, USA.

T.V. Joe Layng is Adjunct Professor of Behavior Analysis, Endicott College Beverly, USA. He is also Co-founder and Partner of Generategy, an educational software company whose products are based on generative instruction principles.

Table of Contents

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