This book integrates a wide range of research topics related to and necessary for the development of proactive, smart, computers in the human interaction loop, including the development of audio-visual perceptual components for such environments; the design, implementation and analysis of novel proactive perceptive services supporting humans; the development of software architectures, ontologies and tools necessary for building such environments and services, as well as approaches for the evaluation of such technologies and services. The book is based on a major European Integrated Project, CHLI (Computers in the Human Interaction Loop), and throws light on the paradigm shift in the area of HCI that rather than humans interactive directly with machines, computers should observe and understand human interaction, and support humans during their work and interaction in an implicit and proactive manner.
Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills. Through step-by-step tutorials, you’ll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing. In three parts, this book covers: Art and design: Explore spatial computing and design interactions, human-centered interaction and sensory design, and content creation tools for digital art Technical development: Examine differences between ARKit, ARCore, and spatial mapping-based systems; learn approaches to cross-platform development on head-mounted displays Use cases: Learn how data and machine learning visualization and AI work in spatial computing, training, sports, health, and other enterprise applications
Before Palm Pilots and iPods, PCs and laptops, the term "computer" referred to the people who did scientific calculations by hand. These workers were neither calculating geniuses nor idiot savants but knowledgeable people who, in other circumstances, might have become scientists in their own right. When Computers Were Human represents the first in-depth account of this little-known, 200-year epoch in the history of science and technology. Beginning with the story of his own grandmother, who was trained as a human computer, David Alan Grier provides a poignant introduction to the wider world of women and men who did the hard computational labor of science. His grandmother's casual remark, "I wish I'd used my calculus," hinted at a career deferred and an education forgotten, a secret life unappreciated; like many highly educated women of her generation, she studied to become a human computer because nothing else would offer her a place in the scientific world. The book begins with the return of Halley's comet in 1758 and the effort of three French astronomers to compute its orbit. It ends four cycles later, with a UNIVAC electronic computer projecting the 1986 orbit. In between, Grier tells us about the surveyors of the French Revolution, describes the calculating machines of Charles Babbage, and guides the reader through the Great Depression to marvel at the giant computing room of the Works Progress Administration. When Computers Were Human is the sad but lyrical story of workers who gladly did the hard labor of research calculation in the hope that they might be part of the scientific community. In the end, they were rewarded by a new electronic machine that took the place and the name of those who were, once, the computers.
This book integrates a wide range of research topics related to and necessary for the development of proactive, smart, computers in the human interaction loop, including the development of audio-visual perceptual components for such environments; the design, implementation and analysis of novel proactive perceptive services supporting humans; the development of software architectures, ontologies and tools necessary for building such environments and services, as well as approaches for the evaluation of such technologies and services. The book is based on a major European Integrated Project, CHLI (Computers in the Human Interaction Loop), and throws light on the paradigm shift in the area of HCI that rather than humans interactive directly with machines, computers should observe and understand human interaction, and support humans during their work and interaction in an implicit and proactive manner.
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Explore fundamentals, strategies, and emerging techniques in the field of human-computer interaction to enhance how users and computers interact Key FeaturesExplore various HCI techniques and methodologies to enhance the user experienceDelve into user behavior analytics to solve common and not-so-common challenges faced while designing user interfacesLearn essential principles, techniques and explore the future of HCIBook Description Human-Computer Interaction (HCI) is a field of study that researches, designs, and develops software solutions that solve human problems. This book will help you understand various aspects of the software development phase, from planning and data gathering through to the design and development of software solutions. The book guides you through implementing methodologies that will help you build robust software. You will perform data gathering, evaluate user data, and execute data analysis and interpretation techniques. You’ll also understand why human-centered methodologies are successful in software development, and learn how to build effective software solutions through practical research processes. The book will even show you how to translate your human understanding into software solutions through validation methods and rapid prototyping leading to usability testing. Later, you will understand how to use effective storytelling to convey the key aspects of your software to users. Throughout the book, you will learn the key concepts with the help of historical figures, best practices, and references to common challenges faced in the software industry. By the end of this book, you will be well-versed with HCI strategies and methodologies to design effective user interfaces. What you will learnBecome well-versed with HCI and UX conceptsEvaluate prototypes to understand data gathering, analysis, and interpretation techniquesExecute qualitative and quantitative methods for establishing humans as a feedback loop in the software design processCreate human-centered solutions and validate these solutions with the help of quantitative testing methodsMove ideas from the research and definition phase into the software solution phaseImprove your systems by becoming well-versed with the essential design concepts for creating user interfacesWho this book is for This book is for software engineers, UX designers, entrepreneurs, or anyone who is just getting started with user interface design and looking to gain a solid understanding of human-computer interaction and UX design. No prior HCI knowledge is required to get started.
Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario
Fundamentals of Human-Computer Interaction aims to sensitize the systems designer to the problems faced by the user of an interactive system. The book grew out of a course entitled ""The User Interface: Human Factors for Computer-based Systems"" which has been run annually at the University of York since 1981. This course has been attended primarily by systems managers from the computer industry. The book is organized into three parts. Part One focuses on the user as processor of information with studies on visual perception; extracting information from printed and electronically presented text; and human memory. Part Two on the use of behavioral data includes studies on how and when to collect behavioral data; and statistical evaluation of behavioral data. Part Three deals with user interfaces. The chapters in this section cover topics such as work station design, user interface design, and speech communication. It is hoped that this book will be read by systems engineers and managers concerned with the design of interactive systems as well as graduate and undergraduate computer science students. The book is also suitable as a tutorial text for certain courses for students of Psychology and Ergonomics.
APCHI 2004 was the sixth Asia-Paci?c Conference on Computer-Human Int- action, and was the ?rst APCHI to be held in New Zealand. This conference series provides opportunities for HCI researchers and practitioners in the Asia- Paci?c and beyond to gather to explore ideas, exchange and share experiences, and further build the HCI networkin this region.APCHI 2004wasa truly int- national event, with presenters representing 17 countries. This year APCHI also incorporated the ?fth SIGCHI New Zealand Symposium on Computer-Human Interaction. A total of 69 papers were accepted for inclusion in the proceedings – 56 long papers and 13 short papers. Submissions were subject to a strict, double-blind peer-review process. The research topics cover the spectrum of HCI, including human factors and ergonomics,user interfacetools and technologies,mobile and ubiquitous computing, visualization, augmented reality, collaborative systems, internationalization and cultural issues, and more. APCHI also included a d- toral consortium, allowing 10 doctoral students from across the globe to meet and discuss their work in an interdisciplinary workshop with leading researchers and fellow students. Additionally, ?ve tutorials were o?ered in association with the conference.
Defines the psychology of human-computer interaction, showing how to span the gap between science & application. Studies the behavior of users in interacting with computer systems.
