This book describes and evaluates existing models of human performance and their use in the design and evaluation of new human-technology systems. Its primary focus is on the modeling of system operators who perform supervisory and manual control tasks. After an introduction on human performance modeling, the book describes information processing, control theory, task network, and knowledge-based models. It explains models of human performance in aircraft operations, nuclear power plant control, maintenance, and the supervisory control of process control systems, such as oil refineries. The book concludes with a discussion of model parameterization and validation and recommends a number of lines of research needed to strengthen model development and application.
Cognitive models and software tools have been widely used for both research and commercial purposes. Although they have proved very useful, there are some limitations preventing large-scale modeling and simulation tasks to be carried out efficiently and effectively. In this book, we aim to provide readers with a systematic overview of state-of-the-art cognitive modeling software tools and applications and an introduction to a new software framework for facilitating large-scale modeling and simulation of human-performance tasks. The authors first review cognitive modeling theories and then present an overview of state-of-the-art software tools for cognitive modeling and simulation. Finally, the book focuses on the new software framework and a research prototype called CogTool+, including how to incorporate behavioral data such as eye-tracking data in modeling and simulation tasks. Typical applications of CogTool+ in HCI and cyber security are given to demonstrate its usefulness.
Based on the research activities of the six-year NASA human performance modeling project, Human Performance Modeling in Aviation provides an in-depth look at cognitive modeling of human operators for aviation problems. This book presents specific solutions to aviation safety problems and explores methods for integrating human performance modeling into the aviation design process. The text compares the application of five different models to two classes of aviation problems: pilot navigation errors during airport taxi operations and approach and landing performance with synthetic vision systems. This results in a comprehensive summary of the capabilities of each model and of the field in general.
"This issue contains 14 papers concerned with human performance, simulation, and user information. Specific topics discussed include the following: driving behavior and traffic flow characteristics; deceleration behavior at onset of yellow indication; company car drivers and safety; age and gender differences in overtaking maneuvers; bilingual sign layout and information load; using transversal rumble strips to influence speed choice; simulator characteristics and highway design; hybrid electric vehicles and blind pedestrians; hybrid-interface effect on ecodriving and driver distraction; driver workload manager distraction mitigation strategies; safe highway design and operation; driver behavior on acceleration lanes; and travel delay information and route choice."--pub. desc.
This book describes and evaluates existing models of human performance and their use in the design and evaluation of new human-technology systems. Its primary focus is on the modeling of system operators who perform supervisory and manual control tasks. After an introduction on human performance modeling, the book describes information processing, control theory, task network, and knowledge-based models. It explains models of human performance in aircraft operations, nuclear power plant control, maintenance, and the supervisory control of process control systems, such as oil refineries. The book concludes with a discussion of model parameterization and validation and recommends a number of lines of research needed to strengthen model development and application.
Space Safety and Human Performance provides a comprehensive reference for engineers and technical managers within aerospace and high technology companies, space agencies, operators, and consulting firms. The book draws upon the expertise of the world’s leading experts in the field and focuses primarily on humans in spaceflight, but also covers operators of control centers on the ground and behavior aspects of complex organizations, thus addressing the entire spectrum of space actors. During spaceflight, human performance can be deeply affected by physical, psychological and psychosocial stressors. Strict selection, intensive training and adequate operational rules are used to fight performance degradation and prepare individuals and teams to effectively manage systems failures and challenging emergencies. The book is endorsed by the International Association for the Advancement of Space Safety (IAASS). 2019 PROSE Awards - Winner: Category: Engineering and Technology: Association of American Publishers Provides information on critical aspects of human performance in space missions Addresses the issue of human performance, from physical and psychosocial stressors that can degrade performance, to selection and training principles and techniques to enhance performance Brings together essential material on: cognition and human error; advanced analysis methods such as human reliability analysis; environmental challenges and human performance in space missions; critical human factors and man/machine interfaces in space systems design; crew selection and training; and organizational behavior and safety culture Includes an endorsement by the International Association for the Advancement of Space Safety (IAASS)
What other organizational variables, such as reward systems or communication systems, affect the performance of this Human performance modeling process? Are there Human performance modeling Models? How will the Human performance modeling team and the organization measure complete success of Human performance modeling? A compounding model resolution with available relevant data can often provide insight towards a solution methodology; which Human performance modeling models, tools and techniques are necessary? Do you monitor the effectiveness of your Human performance modeling activities? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Human performance modeling investments work better. This Human performance modeling All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Human performance modeling Self-Assessment. Featuring 709 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Human performance modeling improvements can be made. In using the questions you will be better able to: - diagnose Human performance modeling projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Human performance modeling and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Human performance modeling Scorecard, you will develop a clear picture of which Human performance modeling areas need attention. Your purchase includes access details to the Human performance modeling self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Taking an integrated, systems approach to dealing exclusively with the human performance issues encountered on the flight deck of the modern airliner, this book describes the inter-relationships between the various application areas of human factors, recognising that the human contribution to the operation of an airliner does not fall into neat pigeonholes. The relationship between areas such as pilot selection, training, flight deck design and safety management is continually emphasised within the book. It also affirms the upside of human factors in aviation - the positive contribution that it can make to the industry - and avoids placing undue emphasis on when the human component fails. The book is divided into four main parts. Part one describes the underpinning science base, with chapters on human information processing, workload, situation awareness, decision making, error and individual differences. Part two of the book looks at the human in the system, containing chapters on pilot selection, simulation and training, stress, fatigue and alcohol, and environmental stressors. Part three takes a closer look at the machine (the aircraft), beginning with an examination of flight deck display design, followed by chapters on aircraft control, flight deck automation, and HCI on the flight deck. Part four completes the volume with a consideration of safety management issues, both on the flight deck and across the airline; the final chapter in this section looks at human factors for incident and accident investigation. The book is written for professionals within the aviation industry, both on the flight deck and elsewhere, for post-graduate students and for researchers working in the area.
