The Multitasking Mind
Associate Professor of Computer Science
Department of Computer Science
Multitasking is all around us: the office worker interrupted by a phone call, the teenager texting while driving, the salesperson chatting while entering an order. When multitasking, the mind juggles all the many tasks we're doing this second, this hour, this week, and tries to perform them together-sometimes with great ease, sometimes with great difficulty. We don't often stop to think about how exactly we accomplish these feats of multitasking great and small. How do we switch from one task to another? What types of multitasking are disruptive, and when are they most disruptive? And ultimately, how can we take advantage of the benefits of multitasking while alleviating its negative effects in our daily lives?
This book presents the theory of threaded cognition, a theory that aims to explain the multitasking mind. The theory states that multitasking behavior can be expressed as cognitive threads-independent streams of thought that weave through the mind's processing resources to produce multitasking behavior, and sometimes experience conflicts to produce multitasking interference. Grounded in the ACT-R cognitive architecture, threaded cognition incorporates computational representations and mechanisms used to simulate and predict multitasking behavior and performance.
The book describes the implications of threaded cognition theory across three traditionally disparate domains: concurrent multitasking (doing multiple tasks at once), sequential multitasking (interrupting and resuming tasks), and multitask skill acquisition (learning and practicing multiple tasks). The work stresses the importance of unifying basic and applied research by alternating between in-depth descriptions of basic research phenomena and broader treatments of phenomena in applied domains, such as driver distraction and human-computer interaction. The book also includes practical guidelines for designers of interactive systems intended for multitasking contexts.
About Dr. Salvucci
Dario Salvucci is an Associate Professor of Computer Science at Drexel University in Philadelphia, PA. He received a B.S.E. from Princeton University in 1994 and a Ph.D. from Carnegie Mellon University in 1999, both in Computer Science. His work explores computational models of human behavior in complex tasks, with particular emphasis on multitasking and driving. Dr. Salvucci has written extensively in the areas of cognitive science, human factors, and human-computer interaction, and has received a National Science Foundation CAREER Award, the Drexel College of Engineering Outstanding Teaching Award, the Fred Burggraf Prize at the Transportation Research Board Annual Meeting, and the Siegel-Wolf Prize at the International Conference on Cognitive Modeling.