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Artificial Intelligence for Human Computer Interaction: A Modern Approach

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Éditeur :

Springer


Collection :

Human–Computer Interaction Series

Paru le : 2021-11-04

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Description

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.
Pages
595 pages
Collection
Human–Computer Interaction Series
Parution
2021-11-04
Marque
Springer
EAN papier
9783030826802
EAN PDF
9783030826819
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
15544 Ko
Prix
179,34 €
EAN EPUB
9783030826819
Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
59
Taille du fichier
87245 Ko
Prix
179,34 €

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