Handbook of Automotive Human Factors
Thanks to advances in computer technology in the last twenty years, navigation system, cabin environment control, ACC, advanced driver assistance system (ADAS) and automated driving have become a part of the automobile experience. Improvement in technology enables us to design these with greater flexibility and provide greater value to the driver (human centered design). To achieve this, research is required by laboratories, automobile and auto parts manufacturers. Although there has been a lot of effort in human factors research and development, starting from basic research to product development, the knowledge and experience has not been integrated optimally. The aim of this book is to collect and review the information for researchers, designers and developers to learn and apply them for further research and development of human centered design of future automotive technologies. Automotive human factors include psychological, physiological, mathematical, engineering and even sociological aspects. This book offers valuable insights to applying the right approach in the right place.
Introduction: historical review of automotive human dactors and future issues How to understand the driver Role of human factors researcher, Target users, Ethnography and behavior observation, Questionnaire and interview, measuring driving behavior using driving simulators, measuring driving behavior equipped vehicle Designing amenity in vehicle Sound design, Seating comfort, In-vehicle air quality, Illumination Measuring driver's state Brain activities, Measures from visual system, Autonomic nervous system measures, Biochemical measures, Face expressions, Arousal level Interaction with ADAS/ADS Measuring mental workload, measuring driver distraction, HMI design of in-vehicle system, Warning design, Information management, Interaction with automated system Driving behavior and its modeling Visual attention, driving performance, Assessment of driving abilities, Driver information processing model, Driving control model, Statistical modeling of driving behavior