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Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, Held on July 21–25, 2018, in Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA de Daniel N. Cassenti

Advances in Human Factors in Simulation and Modeling: Proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, Held on July 21–25, 2018, in Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA: Advances in Intelligent Systems and Computing, cartea 780

Editat de Daniel N. Cassenti
en Limba Engleză Paperback – 27 iun 2018
This book focuses on computational modeling and simulation research that advances the current state-of-the-art regarding human factors in this area. It reports on cutting-edge simulators such as virtual and augmented reality, on multisensory environments, and on modeling and simulation methods used in various applications, including surgery, military operations, occupational safety, sports training, education, transportation and robotics.
Based on the AHFE 2018 International Conference on Human Factors in Simulation and Modeling, held on July 21–25, 2018, in Orlando, Florida, USA, the book serves as a timely reference guide for researchers and practitioners developing new modeling and simulation tools for analyzing or improving human performance. It also offers a unique resource for modelers seeking insights into human factors research and more feasible and reliable computational tools to foster advances in this exciting research field.
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Specificații

ISBN-13: 9783319942223
ISBN-10: 3319942220
Pagini: 517
Ilustrații: XVI, 525 p. 200 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

This book focuses on computational modeling and simulation research that advances the current state-of-the-art regarding human factors in this area. It reports on cutting-edge simulators such as virtual and augmented reality, on multisensory environments, and on modeling and simulation methods used in various applications, including surgery, military operations, occupational safety, sports training, education, transportation and robotics.
Based on the AHFE 2018 International Conference on Human Factors in Simulation and Modeling, held on July 21–25, 2018, in Orlando, Florida, USA, the book serves as a timely reference guide for researchers and practitioners developing new modeling and simulation tools for analyzing or improving human performance. It also offers a unique resource for modelers seeking insights into human factors research and more feasible and reliable computational tools to foster advances in this exciting research field.

Caracteristici

Reports on computational modeling and simulator studies of human factors phenomena Discusses applications in various fields, including medicine, economics, transportation, and aviation Describes advances in virtual tools, such as training simulation, and virtual and augmented reality Highlights the main challenges in developing reliable computational tools for human factors research

Notă biografică

Dr. Daniel Cassenti earned his Ph.D. at the Pennsylvania State University with a specialization in cognitive psychology in August 2004. After a one-year stint as a National Research Council post-doctoral associate with the U.S. Army Research Laboratory, Dr. Cassenti joined ARL as a civilian research psychologist employee. He currently has 35 publications to his name, and his research addresses a diverse set of topics in areas including: cognitive psychology, network science, simulation and modeling, robotics, neuroscience, computational modeling, human factors, and executive function. He is also the senior co-chair of the ARL IRB, which oversees all human-subject research at ARL covering a wide range of experimental paradigms across a variety of domains.