AI Approaches for Designing and Evaluating Interactive Intelligent Systems
Springer International Publishing (Verlag)
978-3-031-53956-5 (ISBN)
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.
| Erscheinungsdatum | 10.04.2024 |
|---|---|
| Reihe/Serie | Learning and Analytics in Intelligent Systems |
| Zusatzinfo | X, 203 p. 52 illus., 37 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Agent • Artificial Intelligence (AI) • Computational Intelligence • Deep Learning (DL) • Human-Computer Interaction (HCI) • Machine Learning (ML) • User Experience (UX) |
| ISBN-10 | 3-031-53956-7 / 3031539567 |
| ISBN-13 | 978-3-031-53956-5 / 9783031539565 |
| Zustand | Neuware |
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