Whether used for aviation, manufacturing, oil and gas extraction, energy distribution, nuclear or fossil fuel power generation, surveillance or security, all control rooms share two common features. The people operating them are often remote from the processes that they are monitoring and controlling and the operations work 24/7. The twin demands o
Whether used for aviation, manufacturing, oil and gas extraction, energy distribution, nuclear or fossil fuel power generation, surveillance or security, all control rooms share two common features. The people operating them are often remote from the processes that they are monitoring and controlling and the operations work 24/7. The twin demands o
Human Factors Methods and Accident Analysis is the first book to offer a practical guide for investigators, practitioners and researchers wishing to apply accident analysis methods. It is also unique in presenting a series of novel applications of accident analysis methods, including HF methods not previously used for these purposes (e.g. EAST, critical path analysis), as well as applications of methods in new domains.
This book offers a broad perspective on the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators with computational systems. It reports on novel theoretical findings on mental workload and stress, activity theory, human reliability, error and risk, and neuroergonomic measures alike, together with a wealth of cutting-edge applications. Further, the book describes key advances in our understanding of cognitive processes, including mechanisms of perception, memory, reasoning, and motor response, with a special emphasis on their role in interactions between humans and other elements of computer-based systems. Based on the AHFE’s main track on Neuroergonomics and Cognitive Engineering, held on July 17–21, 2017 in Los Angeles, California, USA, it provides readers with a comprehensive overview of the current challenges in cognitive computing and factors influencing human performance.
Since the introduction of Automated Vehicles (AVs) on roads, there have been a number of high-profile collisions, which have highlighted significant driver challenges. These include challenges associated with drivers’ trust in the automation, their knowledge and awareness of the AV’s capabilities and limitations and their reduced situation awareness of the road environment and the vehicle. Solutions are needed to overcome these challenges, so that the expected benefits of AVs can be realised. Driver Training for Automated Vehicles: A Systems Approach identifies the training requirements for drivers of AVs and takes a systematic approach to design, develop, implement and evaluate a comprehensive training package to address these requirements. This book explores how training can overcome the driver challenges associated with AVs by improving drivers’ mental models, trust in automation, decisions and behaviour when activating a Level 4 AV. It presents a systematic approach to the training lifecycle, by first presenting the current state of research into AVs, identifying the challenges and training requirements for drivers of AVs, and then developing and evaluating a training programme to achieve these requirements. This fascinating title highlights the need for drivers to undergo training for AVs, and takes us a step closer to this need. It walks readers through a systematic, four-step process and provides practical guidance to develop and evaluate an effective training programme. The reader will develop a thorough understanding of the current driver challenges with AVs and the methods and systems to mitigate them through current knowledge and research. This book is an ideal read for practitioners, designers and academics with a professional or research interest in AVs. Its appeal extends to those in the fields of automotive design, Systems Engineering, Human Factors and education and training.
