In the rapidly evolving landscape of digital governance, government chatbots have emerged as pivotal tools in reshaping interactions between citizens and public institutions. As governments increasingly adopt AI-driven solutions to streamline services, these chatbots play a crucial role in transitioning from traditional, human-centric consultations to more efficient, automated processes. Understanding how these AI systems impact user satisfaction and effectiveness is essential for optimizing digital government platforms and ensuring they meet the nuanced needs of contemporary societies.

Digital Government and Public Interaction: Platforms, Chatbots, and Public Satisfaction delves into the transformative role of AI-driven chatbots in modern government services. It examines the shift from traditional human consultations to digital interactions, focusing on how these changes impact public satisfaction. This publication advances understanding of AI-driven services and integrates theories from public administration, sociology, psychology, and information management. Additionally, the book provides practical insights for government agencies to enhance digital services, improve response quality, and better address public needs. By analyzing both the supply-side efforts of government and the diverse demands of users, this book will prove to be a valuable resource for academic researchers, government practitioners, educators, and professionals.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Data Sources
•Descriptive Statistics
•Government Chatbots
•Grouping Regression Analysis
•Linear Regression Analysis
•Mediation Analysis Results
•Normal Chatbots
•Public Satisfaction
•Public-Citizen Interaction
•Reliability
•Theoretical Foundations
•Validity Testing