Overview
- Presents recent research on Human-Computer Interaction and Augmented Intelligence
- Focuses on interactive Machine Learning in educational software
- Devoted to the hot research topic of human-computer interaction (HCI) mainly targeted to the development of e-learning software
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 34)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book explores the transformative roles of human-computer interaction (HCI) and augmented intelligence (AI) in shaping intelligent systems. HCI focuses on designing interactive systems that enhance human-technology relationships, while AI empowers users with adaptive, data-driven tools that complement decision-making. Together, these fields drive innovation, creating systems that are efficient, intuitive, and inclusive, addressing diverse user needs across various domains.
Central to this work is the paradigm of interactive machine learning (IML), which builds on HCI and AI principles to create adaptive systems capable of evolving in real-time. The book highlights the application of IML in educational software, demonstrating how dynamic, personalized, and responsive learning environments can enhance student engagement and success. It provides detailed case studies and practical examples that showcase how IML aligns educational content, feedback, and interactions with learner behaviors and preferences. Additionally, it includes numerous Python code implementations and actionable design strategies, making these concepts accessible to practitioners and researchers alike.
Key topics include leveraging cognitive and communication styles to shape adaptive systems, integrating learning models to enhance personalization, and addressing ethical considerations such as data privacy and algorithmic fairness. Readers will also discover discussions on creating personalized tutoring systems, collaborative platforms, and immersive environments that redefine educational technology.
This book is a valuable resource for researchers, software developers, educators, instructional designers, and technologists at the intersection of human-computer interaction, augmented intelligence, and educational innovation. With its comprehensive framework and practical insights, it offers the tools to design adaptive, inclusive, and impactful learning systems for the future.
Similar content being viewed by others
Keywords
Table of contents (9 chapters)
-
Front Matter
Authors and Affiliations
Accessibility Information
PDF accessibility summary
This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
EPUB accessibility summary
This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.0 Level AA standards. Its features include descriptions for images and other non-text content, as well as rich navigation that is compatible with screen readers. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.
Bibliographic Information
Book Title: Human-Computer Interaction and Augmented Intelligence
Book Subtitle: The Paradigm of Interactive Machine Learning in Educational Software
Authors: Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-031-84453-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Hardcover ISBN: 978-3-031-84452-2Published: 14 March 2025
Softcover ISBN: 978-3-031-84455-3Due: 28 March 2026
eBook ISBN: 978-3-031-84453-9Published: 13 March 2025
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: XVI, 431
Number of Illustrations: 146 b/w illustrations, 35 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Computers and Education