Bøger i Human-Computer Interaction Series serien

Over the last decade, ultrasound mid-air haptic technology has emerged and rapidly advanced to engage multidisciplinary scientific communities within and adjacent to the haptics and HCI fields. Additionally, this haptic technology has been adopted by a number of industry sectors (e.g., automotive, virtual reality, digital signage, neuroscience research) who appear keen to exploit its unique value proposition: the ability to deliver rich haptic sensations from a distance, without the need to touch, wear or hold anything in order to enhance touchless interfaces, novel applications, and experiences.This book is the first, and currently the only one, that provides a comprehensive description of the technology, encapsulating almost all aspects relating to electronic prototyping, acoustics, haptics, psychology and perception, user experience and end-user HCI applications. Through its 18 chapters written by 30 expert co-authors, this book is therefore an excellent introduction to the technology for anyone coming from any of those fields. Specifically, the reader will benefit by getting a unique and multi-dimensional perspective on the state-of-the-art of this enabling haptic technology while also understanding its history, relevant best research practices, and an overview of the various open challenges and opportunities.

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.

Preface.- Part I: Intelligent Scene Modeling.- Introduction.- Object Detection: State of the Art and Beyond.- NBNN-Based Discriminative 3D Action and Gesture Recognition.- Random Forests with Optimized Leaves for Hough-Voting.- Modeling Human Perception of 3D Scenes.- Model Reconstruction of Real-world 3D Objects: An Application with Microsoft HoloLens.- Semantic Modeling and Rendering.- Content-aware Semantic Indoor Scene Modeling from a Single Image.- Interactive Labeling for Generation of CityGML Building Models from Meshes.- TooltY: An Approach for the Combination of Motion Capture and 3D Reconstruction to Present Tool Usage in 3D Environments.- Generating 3D Facial Expressions with Recurrent Neural Networks.- Part 2: Human-computer Interaction.- Facilitating Decision Making with Multimodal Interfaces in Collaborative Analytical Sessions.- Human - Technology Interaction: The State of the Art and the Lack of Naturalism.- Survey of Speechless Interaction Techniques in Social Robotics.- Exploring Potential and Acceptance of Socially Intelligent Robot.

User Modeling and Adaptation for Daily Routines is motivated by the need to bring attention to how people with special needs can benefit from adaptive methods and techniques in their everyday lives. Assistive technologies, adaptive systems and context-aware applications are three well-established research fields. There is, in fact, a vast amount of literature that covers HCI-related issues in each area separately. However, the contributions in the intersection of these areas have been less visible, despite the fact that such synergies may have a great impact on improving daily living.Presenting a comprehensive review of state-of-the-art practices on user modeling and adaptation for people with special needs, as well as some reflections on the challenges that need to be addressed in this direction, topics covered within this volume include the analysis, design, implementation and evaluation of adaptive systems to assist users with special needs to take decisions and fulfil daily routine activities. Particular emphasis is paid to major trends in user modeling, ubiquitous adaptive support, diagnostic and accessibility, recommender systems, social interaction, designing and building adaptive assistants for daily routines, field studies and automated evaluation.Nine leading contributors write on key current research in the domain of adaptive applications for people with special needs, integrating and summarizing findings from the best known international research groups in these areas. User Modeling and Adaptation for Daily Routines highlights how adaptation technologies can ease daily living for all, and support sustainable high-quality healthcare, demographic ageing and social/economic inclusion. highlights how adaptation technologies can ease daily living for all, and support sustainable high-quality healthcare, demographic ageing and social/economic inclusion.

Building on this, a set of design tools for primitive design work is presented and illustrated with practical examples. This book will be of particular interest to undergraduate and graduate students and researchers in interaction design and HCI, as well as practicing interaction designers and computer professions.

Tools and technologies have long complemented and extended our physical abilities: from pre-historic spearheads to steam-propelled ploughs and high-tech prosthetics.

The second volume of this research monograph describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems.

An approach to socio-technical HCI called Human Work Interaction Design (HWID) emerged around 2005. It presents design cases that illustrate the design of socio-technical relations, provides specific advice for researchers, consultants, and policy makers, and reflects on the open issues related to theorizing about sociotechnical HCI.

This edited book is one of the first to describe how Autonomous Virtual Humans and Social Robots can interact with real people and be aware of the surrounding world using machine learning and AI. It includes:· Many algorithms related to the awareness of the surrounding world such as the recognition of objects, the interpretation of various sources of data provided by cameras, microphones, and wearable sensors· Deep Learning Methods to provide solutions to Visual Attention, Quality Perception, and Visual Material Recognition· How Face Recognition and Speech Synthesis will replace the traditional mouse and keyboard interfaces· Semantic modeling and rendering and shows how these domains play an important role in Virtual and Augmented Reality Applications.Intelligent Scene Modeling and Human-Computer Interaction explains how to understand the composition and build very complex scenes and emphasizes the semantic methods needed to have an intelligent interaction with them. It offers readers a unique opportunity to comprehend the rapid changes and continuous development in the fields of Intelligent Scene Modeling.

Longitudinal studies have traditionally been seen as too cumbersome and labor-intensive to be of much use in research on Human-Computer Interaction (HCI). However, recent trends in market, legislation, and the research questions we address, have highlighted the importance of studying prolonged use, while technology itself has made longitudinal research more accessible to researchers across different application domains. Aimed as an educational resource for graduate students and researchers in HCI, this book brings together a collection of chapters, addressing theoretical and methodological considerations, and presenting case studies of longitudinal HCI research. Among others, the authors:discuss the theoretical underpinnings of longitudinal HCI research, such as when a longitudinal study is appropriate, what research questions can be addressed and what challenges are entailed in different longitudinal research designsreflect on methodological challenges in longitudinal data collection and analysis, such as how to maintain participant adherence and data reliability when employing the Experience Sampling Method in longitudinal settings, or how to cope with data collection fatigue and data safety in applications of autoethnography and autobiographical design, which may span from months to several yearspresent a number of case studies covering different topics of longitudinal HCI research, from ¿slow technology¿, to self-tracking, to mid-air haptic feedback, and crowdsourcing.

This volume reveals the history of Information Architecture (IA), reflects on the relationship between practice and research within the discipline, and presents educators with the latest models, frameworks and theories that have emerged from the Information Architecture Academics and Practitioners Roundtable between 2014 and 2019. The most comprehensive and up-to-date overview of Information Architecture so far, this collection is a valuable tool for teachers, researchers, and practitioners interested in recent advances in information architecture in areas such as pervasive computing and embodiment, artificial intelligence, design practice, diversity and ethics in design, and critique.The information landscape has grown more complex, porous and connected¿the information challenges of smart phones, sensors and IoT demand focused attention from organizations that often embrace a ¿move fast and break things¿ ethos.This book not only explores the shift from Classical IA to Contemporary IA¿it asks, are today¿s creators prepared to solve the challenges ahead? Have industry-led disciplines abdicated their responsibility to the people who inhabit current information environments? Will this discipline persist?Advances in Information Architecture examines the maturity of the field, revisits the discipline¿s efforts to transform itself in 2013 with the publication of "Reframing Information Architecture", and considers the opportunities that remain to bridge the academic and practitioner communities.

This book offers readers fresh insights on applying Extended Reality to Digital Anatomy, a novel emerging discipline. Several chapters serve as practical manuals for students and trainers in anatomy to refresh or develop their Digital Anatomy skills.

Advances in network connectivity, power consumption, and physical size create new possibilities for using interactive computing outdoors. However, moving computing outdoors can drastically change the human outdoor experience. This impact is felt in many kinds of outdoor activities such as citizen science, personal recreation, search and rescue, informal education, and others. It is also felt across outdoor settings that range from remote wilderness to crowded cities. Understanding these effects can lead to ideas, designs and systems that improve, rather than diminish, outdoor experiences. This book represents the current results emerging from recent workshops focused on HCI outdoors and held in conjunction with CHI, GROUP, UbiComp, and MobileHCI conferences. Based on feedback at those workshops, and outreach to other leaders in the field, the chapters collected were crafted to highlight methods and approaches for understandinghow technologies such as handhelds, wearables, and installed standalone devices impact individuals, groups, and even communities. These findings frame new ways of thinking about HCI outdoors, explore logistical issues associated with moving computing outdoors, and probe new experiences created by involving computing in outdoor pursuits. Also important are the ways that social media has influenced preparation, experience, and reflection related to outdoor experiences.HCI Outdoors: Theory, Design, Methods and Applications is of interest to HCI researchers, HCI practitioners, and outdoor enthusiasts who want to shape future understanding and current practice related to technology in every kind of outdoor experience.

Tools and technologies have long complemented and extended our physical abilities: from pre-historic spearheads to steam-propelled ploughs and high-tech prosthetics.

Advances in network connectivity, power consumption, and physical size create new possibilities for using interactive computing outdoors. However, moving computing outdoors can drastically change the human outdoor experience. This impact is felt in many kinds of outdoor activities such as citizen science, personal recreation, search and rescue, informal education, and others. It is also felt across outdoor settings that range from remote wilderness to crowded cities. Understanding these effects can lead to ideas, designs and systems that improve, rather than diminish, outdoor experiences. This book represents the current results emerging from recent workshops focused on HCI outdoors and held in conjunction with CHI, GROUP, UbiComp, and MobileHCI conferences. Based on feedback at those workshops, and outreach to other leaders in the field, the chapters collected were crafted to highlight methods and approaches for understanding how technologies such as handhelds, wearables, and installed standalone devices impact individuals, groups, and even communities. These findings frame new ways of thinking about HCI outdoors, explore logistical issues associated with moving computing outdoors, and probe new experiences created by involving computing in outdoor pursuits. Also important are the ways that social media has influenced preparation, experience, and reflection related to outdoor experiences.HCI Outdoors: Theory, Design, Methods and Applications is of interest to HCI researchers, HCI practitioners, and outdoor enthusiasts who want to shape future understanding and current practice related to technology in every kind of outdoor experience.

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.

Hundreds of illustrations, tables, simulations and models are presented with full R code and data included.Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts.

This book highlights the latest research in pen and touch, its current use in STEM classrooms, sketching and haptics technologies. exploring topics like sketching forensics, teaching STEM, sketch recognition applications, creating a learning environment with sketching, teaching to sketch, and haptics.

The path for developing an internationally usable product with a human-machine interface is described in this textbook, from theory to conception and from design to practical implementation.