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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.
Table of Contents
Part I: Models and methodology 1. Processing resources and attention 2. A review of the engineering models of information-processing and decision-making in multi-task supervisory control 3. Modeling the acquisition of dual—task skill in a connectionist/control architecture 4. connectionist/control architecture Part II: Learning and performance 5. Issues for acquisition and transfer of timesharing and dual-task skills 6. Multiple cue probability learning and the design of inforirtation displays for multiple tasks 7. Vigilance and monitoring for multiple signals 8. Motor constraints in dual—task performance Part III: Mental workload 9. Workload assessment in multi—task environments 10. Performance-based and subjective assessment of workload in multi—task environments 11. Physiological metrics of mental workload: A review of recent progress 12. Psychophysiological assessment of workload in multi—task environments Part IV: Individual differences 13. Individual differences in multiple-task performance 14. Aging, divided attention, and dual-task performance 15. Development of skilled performance: An age—related perspective
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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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