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Intelligent Computing for Interactive System Design: Statistics, Digital Signal Processing, and Machine Learning in PracticeFebruary 2021
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
ISBN:978-1-4503-9029-3
Published:23 February 2021
Pages:
474
Appears In:
ACMACM Books
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Abstract

Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human–computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts.

This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain–computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities.

In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of short additions to each chapter, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers.

This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms.

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prefatory
Preface

Intelligent Computing for Interactive System Design: Statistics, Digital Signal Processing, and Machine Learning in Practice provides a comprehensive resource on what has become the dominant paradigm for novel interaction design methods involving gesture, ...

introduction
Free
Introduction
chapter
chapter
Internet of Everything
chapter
The Internet of Everything—Introducing Privacy
chapter
Statistical Grounding
chapter
Ethics and Statistics
chapter
DSP Basics
chapter
Ethical Issues of Digital Signal Processing
chapter
chapter
Ethical Issues in Machine Learning
chapter
Ethics and Smart Cities
chapter
Ethical Issues in Brain–Computer Interfaces
chapter
Probabilistic Text Entry—Case Study 3
chapter
Ethical Issues in Probabilistic Text Entry
chapter
Secure Gestures—Case Study 4
chapter
Ethics and Secure Gestures
chapter
Personal Context from Mobile Phones—Case Study 5
chapter
Ethics and Personal Context
chapter
Building Adaptive Touch Interfaces—Case Study 6
chapter
Ethics and Adaptive Touch Interfaces
chapter
Ethics in Automotive User Interface
index
Authors’ Biographies/Index
Contributors
  • Cardiff University
  • University of Patras
  • University of Strathclyde

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