03947nam a22005655i 4500 978-3-031-53957-2 DE-He213 20251030111811.0 cr nn 008mamaa 240409s2024 sz | s |||| 0|eng d 9783031539572 978-3-031-53957-2 10.1007/978-3-031-53957-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema AI Approaches for Designing and Evaluating Interactive Intelligent Systems [electronic resource] : Selected and Revised Papers from RoCHI 2022 / edited by Christophe Kolski, Marian Cristian Mihăescu, Traian Rebedea. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 203 p. 52 illus., 37 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Learning and Analytics in Intelligent Systems, 2662-3455 ; 36 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 that was 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. Computational intelligence. 64052 User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Artificial intelligence. 58441 Computational Intelligence. 64052 User Interfaces and Human Computer Interaction. 66577 Artificial Intelligence. 58441 Kolski, Christophe. editor. edt http://id.loc.gov/vocabulary/relators/edt 74935 Mihăescu, Marian Cristian. editor. edt http://id.loc.gov/vocabulary/relators/edt 74936 Rebedea, Traian. editor. edt http://id.loc.gov/vocabulary/relators/edt 74937 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031539565 Printed edition: 9783031539589 Printed edition: 9783031540615 Learning and Analytics in Intelligent Systems, 2662-3455 ; 36 69955 https://doi.org/10.1007/978-3-031-53957-2 ZDB-2-INR ZDB-2-SXIT 59038 59038