The convergence of End-User Development (EUD) and Generative Artificial Intelligence (GenAI) ushers in a transformative era in which creators and consumers are no longer sharply divided, and users are empowered to innovate as never before. Unleashing User Innovation: Multidisciplinary Perspectives on End-User Development and Generative AI explores this dynamic intersection by bringing together diverse perspectives to highlight how these technologies are reshaping how we interact, learn, and innovate.
With the perspective that new challenges require user-driven solutions, the book explores how EUD allows non-technical users to adapt and create tools for their needs, while GenAI infuses the creative capability for creating human-like output, from natural language to multimedia. Together, EUD and GenAI can allow the democratization of innovation and open unimagined possibilities. The book:
Traces the evolution of EUD with an overview of the tools designed for chatbot development.
Examines the educational landscape and shows how GenAI empowers educators to use AI as consumers and collaborators in shaping educational futures.
Presents state-of-the-art applications of GenAI in personalizing education to improve comprehension and support special education.
Explores the versatility of GenAI applications in tourism and immersive experiences, public health, and financial systems.
Covers major ethical, policy, and global considerations driving responsible AI deployment.
By exploring the intersection of diverse fields, the book reveals how generative AI empowers individuals engaged in end-user development to unlock their creative potential. It emphasizes the role of generative AI in enabling these developers to create innovative software solutions effectively. With a focus on cutting-edge advancements, the book showcases how the integration of generative AI fosters a collaborative environment that bridges the gap between technical and non-technical users, thereby democratizing development and fostering innovation.
Dr. Mohammad Amin Kuhail is a researcher in human-computer interaction, end-user development, and IT education. He has authored more than 30 publications.
Dr. Mostafa Mohamad is an associate professor of Digital Innovation and Analytics at Zayed University, UAE, and at Newcastle Business School.
Dr. Rawad Hammad is a co-director for Smart Health Centre, Programme Leader for MSc Computing Course, and MSc Digital Education Course, Technology Enhanced Learning Research Group Leader, and a senior lecturer in Computer Science and Digital Technologies at the University of East London.
Dr. Mohammed Bahja is a lecturer in computer science at the University of Birmingham. His research interest is in data science for healthcare applications, including natural language processing for capturing patients' experience of the NHS, crime detection, and other horizon scanning applications.
