Digital Technologies in Behavior Science

Theoretical and Practical Applications
1. Auflage 2026
ISBN: 978-1-032-46217-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 172 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 453 g

Reihe: Behavior Science

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.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Crone-Todd, Darlene

Hantula, Donald A.

Layng, T. V. Joe

Fachgebiete

• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Theorie, Psychoanalyse Behaviourismus

Inhaltsverzeichnis

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

Über Autor(innen)

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.