In The Human Factor, Kim Vicente coined the term 'Human-tech' to describe a more encompassing and ambitious approach to the study of Human-Technology Interaction (HTI) than is now evident in any of its participating disciplines, such as human factors, human-computer interaction, cognitive science and engineering, industrial design, informatics or applied psychology. Observing that the way forward is 'not by widgets alone,' Vicente's Human-tech approach addresses every level-physical, psychological, team, organizational, and political-at which technology impacts quality of life, identifies a human or societal need, and then tailors technology to what we know about human nature at that level. The Human Factor was written for a broad audience, in part to educate general readers beyond the HTI community about the need to think seriously about the tremendous impact that poorly designed technology can have, ranging from user frustration to the tragic loss of human life. The articles collected in this book provide much of the technical material behind the work that was presented in The Human Factor, and the commentaries by Alex Kirlik situate these articles in their broader historical, scientific and ethical context. This collection of articles and commentaries forms a set of recommendations for how HTI research ought to broaden both its perspective and its practical, even ethical, aspirations to meet the increasingly complicated challenges of designing technology to support human work, to improve quality of life, and to design the way will live with technology. As the first book both to integrate the theory and research underlying Human-tech, and to clearly delineate the scientific challenges and ethical responsibilities that await those who either design technology for human use, or design technology that influences or even structures the working or daily lives of others, Human-tech: Ethical and Scientific Foundations will appeal to the broad range of students and scholars in all of the HTI disciplines.

Cognitive engineering is an interdisciplinary approach to the analysis, modeling, and design of engineered systems or workplaces in which humans and technologies jointly operate to achieve system goals. As individuals, teams, and organizations become increasingly reliant on information technology and automation, it is more important than ever for system and workplace design to be maximally informed by state-of-the-art cognitive engineering research. This volume is the first authoritative handbook to cover this recent and rapidly growing field. The handbook collects and organizes contemporary cognitive engineering research, drawing on the original research of more than 60 contributing experts. Coverage of human factors, human-computer interaction, and the conceptual foundations of cognitive engineering is extensive, addressing not only cognitive engineering in broader organizations and communities, but also focusing on individual cognition, addressing topics of attention, decision making, and multi-tasking. This thorough approach speaks to the broad scope of cognitive engineering, spanning the individual operator to teams and organizations, with a focus on how systems of people and technology, often in the form of automation, influences performance. By collecting the best of cognitive engineering research in one volume, this book serves as both a convenient reference guide and as a useful entry point to the large and diverse research literature. As such, this handbook will be a valuable resource for researchers, students, and practitioners in cognitive engineering and a variety of related fields in need of guidance for how to put their products, systems, and services into the hands of human users, performers, and customers.

In everyday life, and particularly in the modern workplace, information technology and automation increasingly mediate, augment, and sometimes even interfere with how humans interact with their environment. How to understand and support cognition in human-technology interaction is both a practically and socially relevant problem. The chapters in this volume frame this problem in adaptive terms: How are behavior and cognition adapted, or perhaps ill-adapted, to the demands and opportunities of an environment where interaction is mediated by tools and technology? The authors draw heavily on the work of Egon Brunswik, a pioneer in ecological and cognitive psychology, as well as on modern refinements and extensions of Brunswikian ideas, including Hammond's Social Judgment Theory, Gigerenzer's Ecological Rationality and Anderson's Rational Analysis. Inspired by Brunswik's view of cognition as "coming to terms" with the "casual texture" of the external world, the chapters in this volume provide quantitative and computational models and measures for studying how people come to terms with an increasingly technological ecology, and provide insights for supporting cognition and performance through design, training, and other interventions. The methods, models, and measures presented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction. The book will be of interest to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision making, and cognitive science.
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The study of attention in the laboratory has been crucial to understanding the mechanisms that support several different facets of attentional processing: Our ability to both divide attention among multiple tasks and stimuli, and selectively focus it on task-relevant information, while ignoring distracting task-irrelevant information, as well as how top-down and bottom-up factors influence the way that attention is directed within and across modalities. Equally important, however, is research that has attempted to scale up to the real world this empirical work on attention that has traditionally been well controlled by limited laboratory paradigms and phenomena. These types of basic and theoretically guided applied research on attention have benefited immeasurably from the work of Christopher Wickens. This book honors Wickens' many important contributions to the study of attention by bringing together researchers who examine real-world attentional problems and questions in light of attentional theory. The research fostered by Wickens' contributions will enrich not only our understanding of human performance in complex real-world systems, but also reveal the gaps on our knowledge of basic attentional processes.

In everyday life, and particularly in the modern workplace, information technology and automation increasingly mediate, augment, and sometimes even interfere with how humans interact with their environment. How to understand and support cognition in human-technology interaction is both a practically and socially relevant problem. The chapters in this volume frame this problem in adaptive terms: How are behavior and cognition adapted, or perhaps ill-adapted, to the demands and opportunities of an environment where interaction is mediated by tools and technology? The authors draw heavily on the work of Egon Brunswik, a pioneer in ecological and cognitive psychology, as well as on modern refinements and extensions of Brunswikian ideas, including Hammond's Social Judgment Theory, Gigerenzer's Ecological Rationality and Anderson's Rational Analysis. Inspired by Brunswik's view of cognition as "coming to terms" with the "casual texture" of the external world, the chapters in this volume provide quantitative and computational models and measures for studying how people come to terms with an increasingly technological ecology, and provide insights for supporting cognition and performance through design, training, and other interventions. The methods, models, and measures presented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction. The book will be of interest to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision making, and cognitive science.