Artificial Intelligence for Human Computer...

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Beschreibung

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.

Zusammenfassung

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

Inhaltsverzeichnis

Introduction.- Part 1: Modeling.- Human performance modeling with deep learning.- Optimal control to support high-level user goals in human-computer interaction.-Modeling UI tappability using deep learning and crowdsourcing.- Part 2: Input.- Eye gaze estimation and its applications.- AI-driven intelligent text correction techniques for mobile text entry.- Deep touch: Sensing press gestures from touch image sequences.- Deep learning-based hand posture recognition for pen interaction enhancement.- Part 3: Data and tools.- An early Rico retrospective: Three years of uses for a mobile app dataset.- Visual intelligence through human interaction.- ML tools for the web: A way for rapid prototyping and HCI research.- Interactive reinforcement learning for autonomous behavior design.- Part 4: Specific domains.- Sketch-based creativity support tools using deep learning.- Generative link: Data-driven computational models for digital ink.- Bridging natural language and graphical user interfaces.- Demonstration + natural language: Multimodal interfaces for GUI-based interactive task learning agents.- Human-centred AI for medical imaging.- 3D spatial sound individualization with perceptual feedback.

Erscheinungsjahr:	2021
Fachbereich:	Betriebssysteme & Benutzeroberflächen
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	Human¿Computer Interaction Series
Inhalt:	xx 595 S. 12 s/w Illustr. 216 farbige Illustr. 595 p. 228 illus. 216 illus. in color.
ISBN-13:	9783030826802
ISBN-10:	3030826805
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Redaktion:	Hilliges, Otmar Li, Yang
Herausgeber:	Yang Li/Otmar Hilliges
Auflage:	1st ed. 2021
Hersteller:	Springer International Publishing Springer International Publishing AG Human¿Computer Interaction Series
Maße:	241 x 160 x 39 mm
Von/Mit:	Otmar Hilliges (u. a.)
Erscheinungsdatum:	05.11.2021
Gewicht:	1,08 kg

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