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  • © 2021

Artificial Intelligence for Human Computer Interaction: A Modern Approach

  • 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

Part of the book series: Human–Computer Interaction Series (HCIS)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xx
  2. Modeling

    1. Front Matter

      Pages 1-1
    2. Human Performance Modeling with Deep Learning

      • Arianna Yuan, Ken Pfeuffer, Yang Li
      Pages 3-31
  3. Input

    1. Front Matter

      Pages 97-97
    2. Eye Gaze Estimation and Its Applications

      • Xucong Zhang, Seonwook Park, Anna Maria Feit
      Pages 99-130
    3. AI-Driven Intelligent Text Correction Techniques for Mobile Text Entry

      • Mingrui Ray Zhang, He Wen, Wenzhe Cui, Suwen Zhu, H. Andrew Schwartz, Xiaojun Bi et al.
      Pages 131-168
    4. Deep Touch: Sensing Press Gestures from Touch Image Sequences

      • Philip Quinn, Wenxin Feng, Shumin Zhai
      Pages 169-192
  4. Data and Tools

    1. Front Matter

      Pages 227-227
    2. An Early Rico Retrospective: Three Years of Uses for a Mobile App Dataset

      • Biplab Deka, Bardia Doosti, Forrest Huang, Chad Franzen, Joshua Hibschman, Daniel Afergan et al.
      Pages 229-256
    3. Visual Intelligence through Human Interaction

      • Ranjay Krishna, Mitchell Gordon, Li Fei-Fei, Michael Bernstein
      Pages 257-314
    4. ML Tools for the Web: A Way for Rapid Prototyping and HCI Research

      • Na Li, Jason Mayes, Ping Yu
      Pages 315-343
    5. Interactive Reinforcement Learning for Autonomous Behavior Design

      • Christian Arzate Cruz, Takeo Igarashi
      Pages 345-375
  5. Specific Domains

    1. Front Matter

      Pages 377-377
    2. Sketch-Based Creativity Support Tools Using Deep Learning

      • Forrest Huang, Eldon Schoop, David Ha, Jeffrey Nichols, John Canny
      Pages 379-415
    3. Generative Ink: Data-Driven Computational Models for Digital Ink

      • Emre Aksan, Otmar Hilliges
      Pages 417-461
    4. Bridging Natural Language and Graphical User Interfaces

      • Yang Li, Xin Zhou, Gang Li
      Pages 463-493

About this book

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.

Editors and Affiliations

  • Google Research (United States), Mountain View, USA

    Yang Li

  • Advanced Interactive Technologies Lab, ETH Zurich, Zurich, Switzerland

    Otmar Hilliges

Bibliographic Information

  • Book Title: Artificial Intelligence for Human Computer Interaction: A Modern Approach

  • Editors: Yang Li, Otmar Hilliges

  • Series Title: Human–Computer Interaction Series

  • DOI: https://doi.org/10.1007/978-3-030-82681-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-82680-2Published: 05 November 2021

  • Softcover ISBN: 978-3-030-82683-3Published: 05 November 2022

  • eBook ISBN: 978-3-030-82681-9Published: 04 November 2021

  • Series ISSN: 1571-5035

  • Series E-ISSN: 2524-4477

  • Edition Number: 1

  • Number of Pages: XX, 595

  • Number of Illustrations: 12 b/w illustrations, 216 illustrations in colour

  • Topics: User Interfaces and Human Computer Interaction, Artificial Intelligence

Buy it now

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access