This edited collection combines contributions from academics and human factor specialists upon the theme of multiple-task performance - the ability of the mind to control several actions simultaneously.

This book deals with theories of multiple-task performance and focuses on learning and performance. It is primarily for professionals in human factors, psychology, or engineering who are interested in multiple-task performance but have no formal training in the area.

Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.

Multitasking refers to performance of multiple tasks. The most prominent types of multitasking are situations including either temporal overlap of the execution of multiple tasks (i.e., dual tasking) or executing multiple tasks in varying sequences (i.e., task switching). In the literature, numerous attempts have aimed at theorizing about the specific characteristics of executive functions that control interference between simultaneously and/or sequentially active component of task-sets in these situations. However, these approaches have been rather vague regarding explanatory concepts (e.g., task-set inhibition, preparation, shielding, capacity limitation), widely lacking theories on detailed mechanisms and/ or empirical evidence for specific subcomponents. The present research topic aims at providing a selection of contributions on the details of executive functioning in dual-task and task switching situations. The contributions specify these executive functions by focusing on (1) fractionating assumed mechanisms into constituent subcomponents, (2) their variations by age or in clinical subpopulations, and/ or (3) their plasticity as a response to practice and training.

The thirty-two contributions discuss evidence from psychological experiments with healthy and brain-damaged subjects, functional imaging, electrophysiology, and computational modeling.

Persistent controversies about human multiple task performance suggest that research on it will benefit from increased use of precise computational models. Toward this objective, the present report outlines a comprehensive theoretical framework for understanding and predicting the performance of concurrent perceptual motor and cognitive tasks. The framework involves an Executive Process Interactive Control (EPIC) architecture, which has component modules that process information at perceptual, cognitive, and motor levels. On the basis of EPIC, computational models that use a production system formalism may be constructed to simulate multiple task performance under a variety of conditions. These models account well for reaction time data from representative paradigms such as the psychological refractory period (PRP) procedure. With modest numbers of parameters, good fits between empirical and simulated reaction times support several key conclusions: (1) at a cognitive level, people can apply distinct sets of production rules simultaneously for executing the procedures of multiple tasks; (2) there is no immutable central response selection or decision bottleneck; (3) people's capacity to process information and take action at peripheral perceptual motor levels is limited; (4) to cope with such limits and to satisfy task priorities, flexible scheduling strategies are used; (5) these strategies are mediated by executive cognitive processes that coordinate concurrent tasks adaptively. The initial success of EPIC and models based on it suggest that they may help characterize multiple task performance across many domains, including ones that have substantial practical relevance.

In 1966 the first meeting of the Association for the Study of Attention and Performance was held in the Netherlands to promote the emerging science of cognitive psychology. This volume is based on the most recent conference, held in Israel thirty years later. The focus of the conference was the interaction between theory and application. The organizers chose the specific topic, cognitive regulation of performance, because it is an area where contemporary theories of cognitive processes meet the everyday challenges posed by human interactions with complex systems. Present-day technological systems impose on the operator a variety of supervisory functions, such as input and output monitoring, allocation of cognitive resources, choice of strategies, and regulation of cognitive operations. A challenge for engineers and designers is to accommodate the cognitive requirements called for by these systems. The book is divided into four sections: the presentation and representation of information, cognitive regulation of acquisition and performance, consciousness and behavior, and special populations: aging and neurological disorders. Contributors Nicole D. Anderson, Moshe Bar, Lynn Bardell, Alice E. Barnes, Irving Biederman, Robert A. Bjork, Richard A. Block, Fergus I. M. Craik, Heiner Deubel, John Dunlosky, Ido Erev, Ronald Fisher, John M. Flach, Barry Goettl, Morris Goldsmith, Daniel Gopher, Lynn Hasher, Okihide Hikosaka, Larry L. Jacoby, Peter Kalocsai, Colleen Kelley, David E. Kieras, Roberta Klatzky, Asher Koriat, Arthur F. Kramer, Elisabetta Ladavas, John L. Larish, Susan J. Lederman, John Long, Cynthia P. May, Guiliana Mazzoni, Brian McElree, David Meyer, Satoru Miyauchi, Neville Moray, Louis Narens, Thomas O. Nelson, Raymond S. Nickerson, Lynne Reder, J. Wesley Regian, Ian Robertson, Wolfgang Schneider, Christian D. Schunn, Wayne Shebilske, Shinsuke Shimojo, Suresh Subramaniam, Tom N. Trainham, Jehoshua Tsal, Timothy A. Weber, Christopher Wickens, Rose T. Zacks, Dan Zakay