Intelligent Computing for Interactive System Design Statistics, Digital Signal Processing and Machine Learning in Practice

ntelligent 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.
 

(Eds.) Parisa Eslambolchilar, Cardiff University
Parisa Eslambolchilar received a BEng degree in Hardware Engineering from the University of Amirkabir, Tehran, in 1999, and a Master’s in Engineering in Robotics and AI from the University of Tehran, Iran in 2002 and a PhD degree in Computer Science from the Hamilton Institute, National University of Ireland, Maynooth in 2007. In March 2007, she joined the Computer Science Department of Swansea University as a lecturer. In March 2017, Parisa started her new post as a Senior Lecturer in the School of Informatics and Computer Science at Cardiff University. She is currently a Reader in Human–Computer Interaction (HCI) at Cardiff University and leads the Complex Systems Research Group and the Human Factors Technology Research Priority Area at the School. Parisa’s research interests include HCI, ubiquitous computing, and designing interactive systems to support self-reflection, self-monitoring, feedback (audio, haptic, visual, and soma), persuasion, immersion, and navigation. Her work exploits the Internet of Things (IoT), wearables, smartphones, augmented reality, and virtual reality.

Mark Dunlop, Strathclyde University
Dr Mark Dunlop is a Senior Lecturer in Computer Science in the Department of Computer and Information Sciences at the University of Strathclyde. He received his BSc (Hons) and PhD degrees from the University of Glasgow in 1988 and 1991, respectively. He has held academic posts at the universities of Glasgow, theWest of Scotland and, currently, Strathclyde in addition to a senior researcher post at the Riso Danish National Laboratory. He is an associate editor for the journals Personal and Ubiquitous Computing and International Journal of Mobile Human Computer Interaction, and is a member of the international steering committee for ACM MobileHCI (having co-founded the conference series in 1998 and acted as both local-chair and program-co-chair). He has been a chair of the ACM CHI Usability and User Experience committee and has also acted as an expert witness in mobile usability patent cases in Australia and the United States. Mark’s research focuses on the usability of mobile systems including sensor and crowd-source driven interaction, smarter text entry, and fitness/digital health applications of mobile HCI research. He follows a strong user-centered approach with elements of participatory design and formal usability experimentation. His teaching focuses around HCI and mobile application development.

Andreas Komninos, University of Patras
Andreas Komninos has a BSc (Hons) in Computer Studies from Glasgow Caledonian University (2001) and a PhD (Computer and Information Science, 2005) from the University of Strathclyde, UK. He has worked as a Lecturer at Glasgow Caledonian University, specializing in Mobile and Ubiquitous Computing (2005–2013), as an adjunct faculty member at the Hellenic Open University, the University of Patras and the Technological Educational Institute (2010–2019). He has also worked as a post-doctoral researcher in projects related to Mobile and Ubiquitous Computing at the University of Strathclyde (UK), the Computer Technology Institute and Press “Diophantus” and the Industrial Systems Institute (Greece) between 2013 and 2020. He is currently an Assistant Professor in Network-Centric Systems at the Computer Engineering and Informatics Department, University of Patras, Greece. Andreas’ research interests focus on interactive and context-aware mobile and ubiquitous computing systems, that leverage sensors, the IoT and machine learning technology. He has worked and published scientific papers in a range of domains, including mobile and smartwatch text entry, multimodal navigation, the IoT and sensor-based systems, and augmented reality. His published work and professional information can be found at http://www.komninos.info.
 

Introduction
Parisa Eslambolchilar, Andreas Komninos, Mark D. Dunlop

Ethical Issues in Digital Signal Processing and Machine Learning
Internet of Everything
Ioannis Chatzigiannakis, Christos Tselios
The Internet of Everything—Introducing Privacy
Statistical Grounding
Ahmed Sabbir Arif
Ethics and Statistics
DSP Basics
Ethical Issues of Digital Signal Processing
Machine Learning Basics
Konstantinos Chatzilygeroudis
Ethical Issues in Machine Learning
Combining Infrastructure Sensor and Tourism Market Data in a Smart City Project—Case Study 1
Ethics and Smart Cities
Brain–Computer Interfacing with Interactive Systems—Case Study 2
Ethical Issues in Brain–Computer Interfaces
Probabilistic Text Entry—Case Study 3
Ethical Issues in Probabilistic Text Entry
Secure Gestures—Case Study 4
Ethics and Secure Gestures
Personal Context from Mobile Phones—Case Study 5
Ethics and Personal Context
Building Adaptive Touch Interfaces—Case Study 6
Ethics and Adaptive Touch Interfaces
Driver Cognitive Load Classification Based on Physiological Data—Case Study 7
Ethics in Automotive User Interface
Authors’ Biographies
Index