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.
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...
Nothing has been more prolific over the past century than human/machine interaction.
Our fascination with new technologies is based on the assumption that more powerful automation will overcome human limitations and make our systems 'faster, better, cheaper,' resulting in simple, easy tasks for people.
The text then demonstrates the use of cognitive engineering methods to inform the design of information technology. It then details the systematic adaptation and application of specific cognitive engineering methods in the medical domain.
This volume seeks to answer the question: "Can findings from cognitive science enhance the user-computer interaction process?
COGNITIVE SYSTEMS ENGINEERING: An Integrative Living Laboratory
Cognitive Engineering: A Distributed Approach to Machine Intelligence is unique in its theme and contents, and includes a Foreword by Professor Witold Pedrycz - written with graduates in mind, this book would also be a valuable resource for ...
Measuring macrocognition. In E. Patterson 86 Miller Synthetic task environments: (Eds.), Macrocognition metrics and scenarios: Design and evaluation for real—world teams (pp. 201~284). Aldershot, England: Ashgate.
Hall, J., Parkinson, J.A., Connor, T.M., Dickinson, A. and Everitt, B.J. (2001) Involvement of the central nucleus of ... Malkova, L., Gaffan, D. and Murray, E.A. (1997) Excitotoxic lesions of the amygdala fail to produce impairment in ...
Information Processing and Human-machine Interaction: An Approach to Cognitive Engineering