Advances In Human Factors In Simulation And Modeling: Proceedings Of The Ahfe 2017 International Conference On Human Factors In Simulation And ... In Intelligent Systems And Computing)
by Daniel N. Cassenti /
2017 / English / PDF
59.8 MB Download
This book focuses on computational modeling and simulation
research that advances the current state-of-the-art regarding
human factors in simulation and applied digital human modeling.
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, such as
surgery, military operations, occupational safety, sports
training, education, transportation and robotics.
This book focuses on computational modeling and simulation
research that advances the current state-of-the-art regarding
human factors in simulation and applied digital human modeling.
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, such as
surgery, military operations, occupational safety, sports
training, education, transportation and robotics.
Based on the AHFE 2017 International Conference on Human Factors
in Simulation and Modeling, held on July 17–21, 2017, in Los
Angeles, California, USA, the book is intended 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.
Based on the AHFE 2017 International Conference on Human Factors
in Simulation and Modeling, held on July 17–21, 2017, in Los
Angeles, California, USA, the book is intended 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.
