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Employees of different labor sectors are involved in different projects and pressed to deliver results in a specific period of time, which increases their mental workload. This increase can lead to a high mental workload, which in turn leads to a decline in job performance. Therefore, strategies for managing mental workload and promoting mental health have become necessary for corporate success. Evaluating Mental Workload for Improved Workplace Performance is a critical scholarly book that provides comprehensive research on mental workload and the effects, both adverse and positive, that it can have on employee populations as well as strategies for decreasing or deleting it from the labor sector. Highlighting an array of topics such as psychosocial factors, critical success factors (CSF), and technostress, this book is ideal for academicians, researchers, managers, ergonomists, engineers, industrial designers, industry practitioners, and students.
The purpose of this volume is to look at the developments and changes that have occurred in the area of mental workload and its assessment since the NATO symposium was held in 1979. This has been achieved by inviting prominent researchers to survey their respective areas of expertise.Examined are the current methodologies, individual differences, unanswered questions, and future directions for the mental workload issue. Particular topics discussed include the properties of workload assessment techniques, physiological measures, heart rate variability, effort and fatigue in relation to the workload experienced during normal daily routines, subjective assessment techniques, and the cognitive psychology of subjective workload. A preliminary proposal for a cohesive model of mental load is presented. A bibliographic listing of contemporary research reports completes the volume.
This book was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems. The book includes definitions of human workload and a review of measures. Each measure is described, along with its strengths and limitations, data requirements, threshold values, and sources of further information. To make this reference easier to use, extensive author and subject indices are provided. Features Offers readily accessible information on workload measures Presents general description of the measure Covers data collection, reduction, and analysis requirements Details the strengths and limitations or restrictions of each measure, including proprietary rights or restrictions Provides validity and reliability data as available
Human performance measurement is the cornerstone of human factors and experimental psychology and the Human Performance Measures Handbook has long been its foundational reference. Reflecting a wider range and scope, the second edition, newly named Human Performance, Workload, and Situational Awareness Measures Handbook, presents changes in th
This two-volume set was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems. It can also be used to supplement classes at both the undergraduate and graduate courses in ergonomics, experimental psychology, human factors, human performance, measurement, and system test and evaluation. Volume 1 of the handbook begins with an overview of the steps involved in developing a test to measure human performance, workload, and/or situational awareness. This is followed by a definition of human performance and a review of human performance measures. Situational Awareness is similarly treated in a subsequent chapter. Volume 2 presents a definition of workload and a review of workload measures. Provides a short engineering tutorial on experimental design Offers readily accessible information on human performance, workload, and situational awareness (SA) measures Presents general description of the measure Covers data collection, reduction, and analysis requirement Details out the strengths and limitations or restrictions of each measure, including any known proprietary rights or restrictions, as well as validity and reliability data