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As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.
An exploration of contemporary theories in the fields of industrial and organizational psychology, micro-organizational behavior, and human resource management.
For Resilience Engineering, 'failure' is the result of the adaptations necessary to cope with the complexity of the real world, rather than a malfunction. Human performance must continually adjust to current conditions and, because resources and time are finite, such adjustments are always approximate. Featuring contributions from leading international figures in human factors and safety, Resilience Engineering provides thought-provoking insights into system safety as an aggregate of its various components - subsystems, software, organizations, human behaviours - and the way in which they interact.
This book seeks to establish an interdisciplinary, applied social scientific model for researchers and students that advocates a cooperative effort between machines and people. After showing that basic research on social processes offers much needed guidance for those creating technology and designing tools for group work, its papers demonstrate the mutual relevance of social science and information system design, and encourage better integration of these disciplines. This comprehensive collection closely examines the variety of electronic tools being deployed to solve traditional problems in communication and coordination. Unfortunately, research shows that these tools have not been as successful as their designers had envisioned, partially because they were not always produced with the needs and goals of their human users in mind. The editors' goal is to entice more social scientists to orient their research around questions of practical interest to information system designers and to convince designers to search for the knowledge about social and organizational behavior that would make their tools more useful.
Team collaboration involves many operational tasks such as team decision-making or course of action selection, developing shared understanding, and intelligence analysis. These operational tasks must be performed in many situations, often under severe time pressure, with information and knowledge uncertainty, large amounts of dynamic information and across different team characteristics. Recent research in this area has focused on various aspects of human collaborative decision-making and the underlying cognitive processes while describing those processes at different levels of detail, making it difficult to compare research results. The theoretical construct of ‘macrocognition in teams’ was developed to facilitate cognitive research in team collaboration, which will enable a common level of understanding when defining, measuring and discussing the cognitive processes in team collaboration. Macrocognition is defined as both the internalized and externalized mental processes employed by team members in complex, one-of-a-kind, collaborative problem solving. Macrocognition in Teams provides readers with a greater understanding of the macrocognitive processes which support collaborative team activity, showcasing current research, theories, methodologies and tools. It will be of direct relevance to academics, researchers and practitioners interested in group/team interaction, performance, development and training.
This volume presents a cross-disciplinary perspective to determine how team cognition contributes to effective team performance.
This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centred on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus.The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design.
Information dominance may be defined as superiority in the generation, manipulation, and use of information sufficient to afford its possessors military dominance. It has three sources: Command and control that permits everyone to know where they (and their cohorts) are in the battlespace, and enables them to execute operations when and as quickly as necessary; Intelligence that ranges from knowing the enemy's dispositions to knowing the location of enemy assets in real-time with sufficient precision for a one-shot kill; information warfare that confounds enemy information systems at various points (sensors, communications, processing, and command), while protecting one's own. Technical means, nevertheless, are no substitute for information dominance at the strategic level: knowing oneself and one's enemy; and, at best, inducing them to see things as one does.
This book provides a comprehensive, critical and up-to-date overview of all the key areas of group psychology in the context of organisational and work groups.