Usability Testing Essentials presents a practical, step-by-step approach to learning the entire process of planning and conducting a usability test. It explains how to analyze and apply the results and what to do when confronted with budgetary and time restrictions. This is the ideal book for anyone involved in usability or user-centered design-from students to seasoned professionals. Filled with new examples and case studies, Usability Testing Essentials, Second Edition is completely updated to reflect the latest approaches, tools and techniques needed to begin usability testing or to advance in this area.

Cognitive task analysis is a broad area consisting of tools and techniques for describing the knowledge and strategies required for task performance. Cognitive task analysis has implications for the development of expert systems, training and instructional design, expert decision making and policymaking. It has been applied in a wide range of settings, with different purposes, for instance: specifying user requirements in system design or specifying training requirements in training needs analysis. The topics to be covered by this work include: general approaches to cognitive task analysis, system design, instruction, and cognitive task analysis for teams. The work settings to which the tools and techniques described in this work have been applied include: 911 dispatching, faultfinding on board naval ships, design aircraft, and various support systems.
The editors' goal in this book is to present in a single source a comprehensive, in-depth introduction to the field of cognitive task analysis. They have attempted to include as many examples as possible in the book, making it highly suitable for those wishing to undertake a cognitive task analysis themselves. The book also contains a historical introduction to the field and an annotated bibliography, making it an excellent guide to additional resources.

Human factors considerations are increasingly being incorporated into the product design process. Users are seen more as being important factors in the overall look and usability of products than just as passive users. We are now treated as cognitive and physical components of the person/product system. The author, who is one of the leading lights in the field of cognitive ergonomics, looks at approaches that assume that if a task can be accomplished with a reasonable degree of efficiency and within acceptable levels of comfort, then the product can be seen as fitting to the user. In this book it is argued that in practice these approaches can be dehumanising. People are more than merely physical and cognitive processors. They have hopes, fears, dreams, values and aspirations, indeed these are the very things that make us human.
Designing Pleasurable Products looks both at and beyond usability, considering how products can appeal to use holistically, leading to products that are a joy to own.

eBook available with sample pages: 020330568X

How do we create new ways of looking at the world? Join award-winning data storyteller RJ Andrews as he pushes beyond the usual how-to, and takes you on an adventure into the rich art of informing. Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts -- but must push further than dry defaults to be truly effective. How do we attract attention? How can we offer audiences valuable experiences worth their time? How can we help people access complexity? Dark and mysterious, but full of potential, data is the raw material from which new understanding can emerge. Become a hero of the information age as you learn how to dip into the chaos of data and emerge with new understanding that can entertain, improve, and inspire. Whether you call the craft data storytelling, data visualization, data journalism, dashboard design, or infographic creation -- what matters is that you are courageously confronting the chaos of it all in order to improve how people see the world. Info We Trust is written for everyone who straddles the domains of data and people: data visualization professionals, analysts, and all who are enthusiastic for seeing the world in new ways. This book draws from the entirety of human experience, quantitative and poetic. It teaches advanced techniques, such as visual metaphor and data transformations, in order to create more human presentations of data. It also shows how we can learn from print advertising, engineering, museum curation, and mythology archetypes. This human-centered approach works with machines to design information for people. Advance your understanding beyond by learning from a broad tradition of putting things "in formation" to create new and wonderful ways of opening our eyes to the world. Info We Trust takes a thoroughly original point of attack on the art of informing. It builds on decades of best practices and adds the creative enthusiasm of a world-class data storyteller. Info We Trust is lavishly illustrated with hundreds of original compositions designed to illuminate the craft, delight the reader, and inspire a generation of data storytellers.

This special issue contains essays regarding the CHI '95 conference, which featured a panel titled, Discount or Disservice? Discount Usability Analysis: Evaluation at a Bargain Price or Simply Damaged Merchandise? Wayne Gray, who organized the panel, presented a controversial critique of studies that had evaluated various usability evaluation methods (UEMs). The level of interest in this discussion led Gray to propose a review article that dealt with the issues in a more systematic fashion. The resulting essay, written by Gray and his collaborator Marilyn Salzman, conducted an in-depth review of a series of influential studies that used experimental methods to compare a variety of UEMs. Gray and Salzman's analysis was framed using Cook and Campbell's (1979) well-known discussion of various forms of validity. They used this to evaluate numerous details of these comparative studies, and they concluded that the studies fell short on the criteria by which good experimental studies are designed and interpreted.

The potential of new information technologies to support learning has been widely recognized, and educational institutions at all levels have invested heavily in realising such potential. Depite a good deal of early interest in using computers to 'individualize' learning, one of the clearest findings of recent research in computer-based learning is that learning is often positively affected by peer interaction. Learning with Computers brings together a collection of chapters from well-known researchers in this field, and will be of interest to those working within psychology and education.

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In his remarkable ethnography of computer engineers, Gary Downey investigates the interface between the human body and the machine. Drawing on interviews, observations and personal interaction with engineers, Downey documents the everyday power of technologys dominant image in our society.
Downey argues that we need to appreciate how deeply connected we are to The Machine, and that it would be hugely beneficial if we could understand ourselves and machines as partially configured of the other - we as part machines, machines as part humans. In this way, we can begin to see both the power and the limitations of technology.

In his remarkable ethnography of computer engineers, Gary Downey investigates the interface between the human body and the machine. Drawing on interviews, observations and personal interaction with engineers, Downey documents the everyday power of technologys dominant image in our society.
Downey argues that we need to appreciate how deeply connected we are to The Machine, and that it would be hugely beneficial if we could understand ourselves and machines as partially configured of the other - we as part machines, machines as part humans. In this way, we can begin to see both the power and the limitations of technology.

This book, originally published in 1992, encapsulates ten years of research at the Open University's Human Cognition Research Laboratory. The research investigates the problems of novice programmers, and is strongly oriented toward the design and implementation of "programming environments" aimed at eliminating or easing novices' problems. A range of languages is studied: Pascal, SOLO, Lisp, Prolog and "Knowledge Engineering Programming". The primary emphasis of the empirical studies is to gain some understanding of novices' "mental models" of the inner workings of computers. Such (erroneous) models are constructed by novices in their own heads to account for the idiosyncrasies of particular programming languages. The primary emphasis of the implementations described in the book is the provision of "automatic debugging aids", i.e. artificial intelligence programs which can analyse novices' buggy programs, and make sense of them, thereby providing useful advice for the novices. Another related strand taken in some of the work is the concept of "pre-emptive design", i.e. the provision of tools such as syntax-directed editors and graphical tracers which help programmers avoid many frequently-occurring errors. A common thread throughout the book is its Cognitive Science/Artificial Intelligence orientation. AI tools are used, for instance, to construct simulation models of subjects writing programs, in order to provide insights into what their deep conceptual errors are. At the other extreme, AI programs which were developed in order to help student debug their programs are observed empirically in order to ensure that they provide facilities actually needed by real programmers. This book will be of great interest to advanced undergraduate, postgraduate, and professional researchers in Cognitive Science, Artificial Intelligence, and Human-Computer Interaction.

Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) that is picked up by a microphone is generally contaminated by noise. As a result, the microphone signal has to be cleaned up with digital signal processing tools before it is stored, analyzed, transmitted, or played out. This cleaning process is often called noise reduction and this topic has attracted a considerable amount of research and engineering attention for several decades. One of the objectives of this book is to present in a common framework an overview of the state of the art of noise reduction algorithms in the single-channel (one microphone) case. The focus is on the most useful approaches, i.e., filtering techniques (in different domains) and spectral enhancement methods. The other objective of Noise Reduction in Speech Processing is to derive all these well-known techniques in a rigorous way and prove many fundamental and intuitive results often taken for granted. This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach. Many new and interesting concepts are presented in this text that we hope the readers will find useful and inspiring.

Computers are increasingly able to mimic abilities we often think of as exclusively human - memory, decision-making and now, speech. A new generation of speech recognition systems can make at least some attempt at understanding what is said to them and can respond accordingly. These systems are coming into daily use for home banking, for airline flights enquiries and for placing orders over the telephone and are fast becoming more powerful and more pervasive. Using data taken from a major, European Union funded project on speech understanding, the SunDial project, this book shows how this data may be analyzed to yield important conclusions about the organization of both human-human and human-computer information dialogues. It describes the Wizard-of-Oz method of collecting speech dialogues from people who believe they are interacting with a speech understanding system before that system has been fully designed or built and it shows how the resulting dialogues may be analyzed to guide further design. This book provides detailed and comparative studies of human and human-computer speech dialogues, including analyses of opening and closing sequences and turn-taking.

The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the formation and interaction of group behaviors. Users' behavior analysis, sentiment analysis, influence analysis and collective aggregation are discussed in detail as well. It is an essential reference for scientist and professionals in computer science.

This book's purpose is to offer various perspectives relating to the development, effectiveness, and implementation of interactive computing technology for health promotion--programs and interventions aimed at improving various health-related outcomes such as involvement in care, quality of life, adherence, disease management, healthy lifestyle, and more. Its coverage includes:
*conceptual foundations for examining how characteristics of media, messages, and users relate to one another and how interactive media can effectively and appropriately promote health outcomes;
*examinations of the development, utilization, and evaluation of specific computer applications for health promotion featuring discussions of the theoretical rationale for the program, the targeted audience, research on the program's effectiveness, and implications for future program development; and
*analyses of critical issues such as potential benefits and limitations of technology on the delivery of care, institutional obstacles to the adoption of computing technology, and prospects for integrating information technology into the health system.

This book's purpose is to offer various perspectives relating to the development, effectiveness, and implementation of interactive computing technology for health promotion--programs and interventions aimed at improving various health-related outcomes such as involvement in care, quality of life, adherence, disease management, healthy lifestyle, and more. Its coverage includes:
*conceptual foundations for examining how characteristics of media, messages, and users relate to one another and how interactive media can effectively and appropriately promote health outcomes;
*examinations of the development, utilization, and evaluation of specific computer applications for health promotion featuring discussions of the theoretical rationale for the program, the targeted audience, research on the program's effectiveness, and implications for future program development; and
*analyses of critical issues such as potential benefits and limitations of technology on the delivery of care, institutional obstacles to the adoption of computing technology, and prospects for integrating information technology into the health system.

Contents:
Part 1 The communication process: human-computer-human interaction - how computers affect interpersonal communication, Rodney Fuller; designing for cognitive communication - epistemic fidelity or mediating collaborative inquiry?, Jeremy Roschelle; computer-mediated interpersonal communication - the HCHI approach, Lajos Balint. Part 2 Knowledge representation: mapping the mapper, John Wood and Paul Taylor; mapping spatial cognition with computers, Phil Moose et al. Part 3 Co-operative work: the world view of collaborative tools, Munir Mandviwalla; computer- based simulation models for problem-solving - communicating problem understandings, Ray Paul and Peter Thomas; the effects of combining interactive graphics and text in computer-mediated small group decision- making, Jozsef Toth. Postscript - a convergence of disciplines.

Rapidly Prototyping Interfaces with InDesign guides readers to learn to create a wide range of interfaces, from mobile to desktop. With InDesign, interface prototyping takes minutes instead of days. This book is code-free and entirely hands-on with InDesign tools. This book acts as a guide for how to prototype user interfaces with InDesign, using diagrams, illustrations, and screen shots. This illustrated book concerns the creation and prototyping of eBooks, eMagazines, websites, desktop apps and movile apps. InDesign is an important tool for rapid prototyping, as no coding is involved. Key Features No available book provides this information. The reader will learn how to prototype a wide range of interfaces for both desktop and movile platforms. The book will include software screen shots and guide the reader step by step. The example prototypes will be interactive. Users can test them using interactive devices, such as desktop computers, tablets or mobile phones. The reader will learn how to prepare an effective portfolio and resume.

Based on a symposium honoring the extensive work of Allen Newell -- one of the founders of artificial intelligence, cognitive science, human-computer interaction, and the systematic study of computational architectures -- this volume demonstrates how unifying themes may be found in the diversity that characterizes current research on computers and cognition. The subject matter includes:
* an overview of cognitive and computer science by leading researchers in the field;
* a comprehensive description of Allen Newell's "Soar" -- a computational architecture he developed as a unified theory of cognition;
* commentary on how the Soar theory of cognition relates to important issues in cognitive and computer science;
* rigorous treatments of controversial issues in cognition -- methodology of cognitive science, hybrid approaches to machine learning, word-sense disambiguation in understanding material language, and the role of capability processing constraints in architectural theory;
* comprehensive and systematic methods for studying architectural evolution in both hardware and software;
* a thorough discussion of the use of analytic models in human computer interaction;
* extensive reviews of important experiments in the study of scientific discovery and deduction; and
* an updated analysis of the role of symbols in information processing by Herbert Simon.
Incorporating the research of top scientists inspired by Newell's work, this volume will be of strong interest to a large variety of scientific communities including psychologists, computational linguists, computer scientists and engineers, and interface designers. It will also be valuable to those who study the scientific process itself, as it chronicles the impact of Newell's approach to research, simultaneously delving into each scientific discipline and producing results that transcend the boundaries of those disciplines.

There is perhaps no facet of modern society where the influence of computer automation has not been felt. Flight management systems for pilots, diagnostic and surgical aids for physicians, navigational displays for drivers, and decision-aiding systems for air-traffic controllers, represent only a few of the numerous domains in which powerful new automation technologies have been introduced. The benefits that have been reaped from this technological revolution have been many. At the same time, automation has not always worked as planned by designers, and many problems have arisen--from minor inefficiencies of operation to large-scale, catastrophic accidents. Understanding how humans interact with automation is vital for the successful design of new automated systems that are both safe and efficient.
The influence of automation technology on human performance has often been investigated in a fragmentary, isolated manner, with investigators conducting disconnected studies in different domains. There has been little contact between these endeavors, although principles gleaned from one domain may have implications for another. Also, with a few exceptions, the research has tended to be empirical and only theory-driven. In recent years, however, various groups of investigators have begun to examine human performance in automated systems in general and to develop theories of human interaction with automation technology.
This book presents the current theories and assesses the impact of automation on different aspects of human performance. Both basic and applied research is presented to highlight the general principles of human-computer interaction in several domains where automation technologies are widely implemented. The major premise is that a broad-based, theory-driven approach will have significant implications for the effective design of both current and future automation technologies. This volume will be of considerable value to researchers in human factors, human-computer interaction, aviation and cognitive psychology, industrial engineering--and related disciplines as well as computer scientists, aeronautical, biomedical, and mechanical engineers. In addition, it should interest others involved in the design and manufacture of automation technologies.
Part I covers broad theoretical perspectives and concepts in automation research. Part II assesses the impact of automation on different aspects of human performance, including monitoring, mental workload, situational awareness, vigilance, decision making, and supervisory control. Aspects of team performance in automated systems are also discussed. Part III examines issues related to human performance in different domains where automation technologies have been introduced including: aviation, different modes of transportation, motor vehicles on the road, maritime operations, medical systems, quality control and maintenance, and oil and gas pipeline operations. Part IV speculates on the future relationship between humans and automation and explores this relationship in the context of understanding the "teleology," or grand purpose in design, of automation technology.

Powerful information technologies and the complex support systems they engender are evolving faster than people's ability to adjust to them. In the workplace, this leads to troublesome task performance, added stress on users, increased organizational inefficiency, and, in some cases, a heightened risk of wide-scale disaster. In the marketplace, it makes for consumer dissatisfaction. Clearly, traditional human-computer interaction (HCI) and system design (SD) solutions to this dilemma have proven woefully inadequate. What is needed is a fresh multidisciplinary approach offering a broader, more dynamic framework for assessing needs and designing usable, efficient systems. Taking modeling concepts from engineering, psychology, cognitive science, information science, and computer science, cognitive systems engineering (CSE) provides such a framework. This book is the first comprehensive guide to the emerging new field of CSE. Providing equal parts theory and practice, it is based on the authors' many years of experience with work systems in a wide range of work domains, including process control, manufacturing, hospitals, and libraries. Throughout, the emphasis is on powerful analytical techniques that enhance the systems designer's ability to see the "big picture", and to design for all crucial aspects of human-work interaction. Applicable to highly structured technical systems such as process plants, as well as less structured user-driven systems like libraries, these analytical techniques form the basis for the evaluation and design guidelines that make up the bulk of this book. And since the proof is in the pudding, the authors provide a chapter-length case history in which theydemonstrate the success of their approach when applied to a full-scale software design project. The project, a retrieval system for public libraries, is described in detail, from field studies to concept validation experiments, and, of course, the empirical evaluation of the system while in use by the library users and personnel. Computer-based information systems are rapidly becoming a fundamental part of the human landscape. How that landscape evolves over the next decade or so, whether it becomes a hostile one or one that generously supports the needs of future generations, is in the hands of all those involved with the study and design of information systems.

The recent evolution of western societies has been characterized by an increasing emphasis on information and communication. As the amount of available information increases, however, the user -- worker, student, citizen -- faces a new problem: selecting and accessing relevant information. More than ever it is crucial to find efficient ways for users to interact with information systems in a way that prevents them from being overwhelmed or simply missing their targets. As a result, hypertext systems have been developed as a means of facilitating the interactions between readers and text. In hypertext, information is organized as a network in which nodes are text chunks (e.g., lists of items, paragraphs, pages) and links are relationships between the nodes (e.g., semantic associations, expansions, definitions, examples -- virtually any kind of relation that can be imagined between two text passages). Unfortunately, the many ways in which these hypertext interfaces can be designed has caused a complexity that extends far beyond the processing abilities of regular users. Therefore, it has become widely recognized that a more rational approach based on a thorough analysis of information users' needs, capacities, capabilities, and skills is needed. This volume seeks to meet that need.
From a user-centered perspective -- between systems and users -- this volume presents theoretical and empirical research on the cognitive processes involved in using hypertext. In so doing, it illustrates three main approaches to the design of hypertext systems:
*cognitive, which examines how users process multilayered hypertext structures;
*ergonomical, which explores how users interact with the design characteristics of hardware and software; and
*educational, which studies the learning objectives, frequency and duration of hypertext sessions, type of reading activity, and the user's learning characteristics.
This volume also tries to provide answers for the questions that have plagued hypertext research:
*What is hypertext good for?
*Who is hypertext good for?
*If it is useful for learning and instruction, then what type?
*What particular cognitive skills are needed to interact successfully with a hypertext system? Anyone interested in the fields of computer science, linguistics, psychology, education, and graphic design will find this volume intriguing, informative, and a definitive starting point for future research in the field of hypertext.

There is a growing consensus in the human factors/ergonomics community that human factors research has had little impact on significant applied problems. Some have suggested that the problem lies in the fact that much HF/E research has been based on the wrong type of psychology, an information processing view of psychology that is reductionistic and context-free. Ecological psychology offers a viable alternative, presenting a richer view of human behavior that is holistic and contextualized. The papers presented in these two volumes show the conceptual impact that ecological psychology can have on HF/E, as well as presenting a number of specific examples illustrating the ecological approach to human-machine systems. It is the first collection of papers that explicitly draws a connection between these two fields. While work in this area is only just beginning, the evidence available suggests that taking an ecological approach to human factors/ergonomics helps bridge the existing gap between basic research and applied problems.

Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines.
A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions.
This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume
*deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation,
*addresses the question of the development of competence and expertise, and
*proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.

This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community. However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones. Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.

This book offers a comprehensive yet concise overview of the challenges and opportunities presented by the use of artificial intelligence in healthcare. It does so by approaching the topic from multiple perspectives, e.g. the nursing, consumer, medical practitioner, healthcare manager, and data analyst perspective. It covers human factors research, discusses patient safety issues, and addresses ethical challenges, as well as important policy issues. By reporting on cutting-edge research and hands-on experience, the book offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes. It will also benefit students and researchers whose work involves artificial intelligence-related research issues in healthcare.

The perception-action cycle is the circular flow of information that takes place between the organism and its environment in the course of a sensory-guided sequence of behaviour towards a goal. Each action causes changes in the environment that are analyzed bottom-up through the perceptual hierarchy and lead to the processing of further action, top-down through the executive hierarchy, toward motor effectors. These actions cause new changes that are analyzed and lead to new action, and so the cycle continues. The Perception-action cycle: Models, architectures and hardware book provides focused and easily accessible reviews of various aspects of the perception-action cycle. It is an unparalleled resource of information that will be an invaluable companion to anyone in constructing and developing models, algorithms and hardware implementations of autonomous machines empowered with cognitive capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and memory, planning and action, and consciousness grounded on experimental data. In the second part, architectures, algorithms, and systems with cognitive capabilities and minimal guidance from the brain, are discussed. These architectures, algorithms, and systems are inspired from the areas of cognitive science, computer vision, robotics, information theory, machine learning, computer agents and artificial intelligence. In the third part, the analysis, design and implementation of hardware systems with robust cognitive abilities from the areas of mechatronics, sensing technology, sensor fusion, smart sensor networks, control rules, controllability, stability, model/knowledge representation, and reasoning are discussed.