Editors:
Broadens your understanding of the exciting research area intersecting HCI and AI
Case studies, methods and knowledge equip readers to undertake future research/apply related ideas in practice
Includes machine learning tools and datasets useful for solving numerous real-world problems
Part of the book series: Human–Computer Interaction Series (HCIS)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, access via your institution.
Table of contents (17 chapters)
-
Front Matter
-
Specific Domains
-
Front Matter
-
About this book
This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address.
It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.Keywords
- Human Computer Interaction
- Artificial Intelligence
- Deep Learning Methods
- Data-driven Methods
- Human Performance Modeling
Editors and Affiliations
-
Google Research (United States), Mountain View, USA
Yang Li
-
Advanced Interactive Technologies Lab, ETH Zurich, Zurich, Switzerland
Otmar Hilliges
Bibliographic Information
Book Title: Artificial Intelligence for Human Computer Interaction: A Modern Approach
Editors: Yang Li, Otmar Hilliges
Series Title: Human–Computer Interaction Series
DOI: https://doi.org/10.1007/978-3-030-82681-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-82680-2Published: 05 November 2021
Softcover ISBN: 978-3-030-82683-3Published: 05 November 2022
eBook ISBN: 978-3-030-82681-9Published: 04 November 2021
Series ISSN: 1571-5035
Series E-ISSN: 2524-4477
Edition Number: 1
Number of Pages: XX, 595
Number of Illustrations: 12 b/w illustrations, 216 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Artificial Intelligence