Artificial intelligence for human computer interaction : a modern approach / Yang Li, Otmar Hilliges, editors.
Li, Yang (Google researcher) editor.; Hilliges, Otmar, editor.
2021
Q335
Available Online

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Title Artificial intelligence for human computer interaction : a modern approach / Yang Li, Otmar Hilliges, editors.
ISBN 9783030826819 (electronic bk.)
3030826813 (electronic bk.)
3030826805
9783030826802
DOI https://doi.org/10.1007/978-3-030-82681-9
Published Cham, Switzerland : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (xx, 595 pages) : illustrations
Item Number 10.1007/978-3-030-82681-9 doi
Call Number Q335
Dewey Decimal Classification 006.3
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed November 9, 2021).
Added Author Li, Yang (Google researcher) editor.
Hilliges, Otmar, editor.
Series Human-computer interaction series, 2524-4477
Available in Other Form Artificial intelligence for human computer interaction.
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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.

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