Collected Essays On Human Centered Computing 2001 2011

"The nexus of computer science and cognitive science will remain a fruitful area for research and reflection. Humans, computers, and their context form a trinity that will require the sort of insight that these essays embody. If we are to realize the promise of intelligent systems in all their forms, we will need the concepts, methods, and reflections contained in this book." --Nigel Shadbolt, University of Southampton, "from the Foreword" The notion of Human-Centered Computing (HCC) was introduced as a named program at the NASA-Ames Research Center. Both the evolution of HCC and its current theoretical and research foundations are laid out in the essays that are compiled into this volume. HCC, from this perspective, has the goal of creating technologies that amplify and extend human perceptual, cognitive, and collaborative capabilities. With contributions from more than three dozen coauthors, these 40 essays from the Human-Centered Computing department of "IEEE Intelligent Systems" lay out and clarify the principles of HCC.

The study of expertise weaves its way through various communities of practice, across disciplines, and over millennia. To date, the study of expertise has been primarily concerned with how human beings perform at a superior level in complex environments and sociotechnical systems, and at the highest levels of proficiency. However, more recent research has continued the search for better descriptions, and causal mechanisms that explain the complexities of expertise in context, with a view to translating this understanding into useful predictions and interventions capable of improving the performance of human systems as efficiently as possible. The Oxford Handbook of Expertise provides a comprehensive picture of the field of Expertise Studies. It offers both traditional and contemporary perspectives, and importantly, a multidiscipline-multimethod view of the science and engineering research on expertise. The book presents different perspectives, theories, and methods of conducting expertise research, all of which have had an impact in helping us better understand expertise across a broad range of domains. The Handbook also describes how researchers and practitioners have addressed practical problems and societal challenges. Throughout, the authors have sought to demonstrate the heterogeneity of approaches and conceptions of expertise, to place current views of expertise in context, to show how these views can be used to address current issues, and to examine ways to advance the study of expertise. The Oxford Handbook of Expertise is an essential resource both to those wanting to gain an up-to-date knowledge of the science of expertise and those wishing to study experts.

This volume offers a look at the fundamental issues of present and future AI, especially from cognitive science, computer science, neuroscience and philosophy. This work examines the conditions for artificial intelligence, how these relate to the conditions for intelligence in humans and other natural agents, as well as ethical and societal problems that artificial intelligence raises or will raise. The key issues this volume investigates include the relation of AI and cognitive science, ethics of AI and robotics, brain emulation and simulation, hybrid systems and cyborgs, intelligence and intelligence testing, interactive systems, multi-agent systems, and super intelligence. Based on the 2nd conference on “Theory and Philosophy of Artificial Intelligence” held in Oxford, the volume includes prominent researchers within the field from around the world.

This volume provides an exceptional perspective on the nature, evolution, contributions and future of the field of Cognitive Systems Engineering (CSE). It is a resource to support both the teaching and practice of CSE. It accomplishes this through its organization into two complementary approaches to the topic. The first is an historical perspective: In the retrospections of leaders of the field, what have been the seminal achievements of cognitive human factors? What are the "lessons learned" that became foundational to CSE, and how did that foundation evolve into a broader systems view of cognitive work? The second perspective is both pedagogical and future-looking: What are the major conceptual issues that have to be addressed by CSE and how can a new generation of researchers be prepared to further advance CSE? Topics include studies of expertise, cognitive work analysis, cognitive task analysis, human performance, system design, cognitive modeling, decision making, human-computer interaction, trust in automation, teamwork and ecological interface design. A thematic focus will be on systems-level analysis, and such notions as resilience engineering and systems-level measurement. The book features broad coverage of many of the domains to which CSE is being applied, among them industrial process control, health care, decision aiding and aviation human factors. The book’s contributions are provided by an extraordinary group of leaders and pathfinders in applied psychology, cognitive science, systems analysis and system design. In combination these chapters present invaluable insights, experiences and continuing uncertainties on the subject of the field of CSE, and in doing so honor the career and achievements of Professor David D. Woods of Ohio State University.

Offers a vivid description of the ongoing transformation of the web into something that is widely recognized and that will have an enormous impact on how people work and live their lives in the future. Presents concepts that will help readers understand why the web evolved as it did, what is going on right now, and what will happen next.

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