Overview
- Presents recent AI approaches for designing and evaluating interactive intelligent systems
- Written by experts in the field
- Selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022
Part of the book series: Learning and Analytics in Intelligent Systems (LAIS, volume 36)
Included in the following conference series:
Conference proceedings info: ROCHI 2022.
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Table of contents (9 papers)
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Front Matter
Other volumes
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AI Approaches for Designing and Evaluating Interactive Intelligent Systems
Keywords
About this book
Designing, building, and evaluating Interactive and Intelligent Systems (IIS) has highly impacted the progress of Artificial Intelligence (AI) techniques due to advancements in the fields of Deep Learning (DL) and Natural Language Processing (NLP). This book presents in a structured way several practical use cases of the interplay between IIS and DL/NLP, from cognitive assistants, adaptive navigation systems, virtual reality, offensive comment and cyberbullying detection, 3D modelling, and driving behaviour detection. The convergence of AI and Human-Computer Interaction (HCI) has been proven to foster the IIS development that nowadays represents the most used context by actively integrating AI techniques in merely any layer of modern applications.
The main goal of this book is to provide a practical reference with a rich set of approaches and applications consisting of selected and revised papers from the International Conference on Human-Computer Interaction (RoCHI) 2022 thatwas held on 6-7 October 2022 at the University of Craiova, Romania. The book addresses researchers and practitioners with experience in IIS and AI (mainly DL and NLP) who want to study successfully developed workflows and applications that may be useful in their attempts to tackle issues from their contexts.
Although the book nicely integrates concepts from various areas, each chapter may be considered a standalone topic with its research issue, proposed approach, experimental results, and discussions.
Editors and Affiliations
Bibliographic Information
Book Title: AI Approaches for Designing and Evaluating Interactive Intelligent Systems
Book Subtitle: Selected and Revised Papers from RoCHI 2022
Editors: Christophe Kolski, Marian Cristian Mihăescu, Traian Rebedea
Series Title: Learning and Analytics in Intelligent Systems
DOI: https://doi.org/10.1007/978-3-031-53957-2
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 2024
Hardcover ISBN: 978-3-031-53956-5Published: 10 April 2024
Softcover ISBN: 978-3-031-54061-5Due: 11 May 2024
eBook ISBN: 978-3-031-53957-2Published: 09 April 2024
Series ISSN: 2662-3447
Series E-ISSN: 2662-3455
Edition Number: 1
Number of Pages: X, 203
Number of Illustrations: 15 b/w illustrations, 37 illustrations in colour
Topics: Computational Intelligence, User Interfaces and Human Computer Interaction, Artificial Intelligence