Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing
ISBN: 9781003050841
Platform/Publisher: Taylor & Francis / CRC Press
Digital rights: Users: Unlimited; Printing: Unlimited; Download: Unlimited



Driving automation and autonomy are already upon us and the problems that were predicted twenty years ago are beginning to appear. These problems include shortfalls in expected benefits, equipment unreliability, driver skill fade, and error-inducing equipment designs. Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing investigates the difficult problem of how to interface drivers with automated vehicles by offering an inclusive, human-centred design process that focusses on human variability and capability in interaction with interfaces.

This book introduces a novel method that combines both systems thinking and inclusive user-centred design. It models driver interaction, provides design specifications, concept designs, and the results of studies in simulators on the test track, and in road going vehicles.

This book is for designers of systems interfaces, interactions, UX, Human Factors and Ergonomics researchers and practitioners involved with systems engineering and automotive academics._

"In this book, Prof Stanton and colleagues show how Human Factors methods can be applied to the tricky problem of interfacing human drivers with vehicle automation.  They have developed an approach to designing the human-automation interaction for the handovers between the driver and the vehicle.  This approach has been tested in driving simulators and, most interestingly, in real vehicles on British motorways.  The approach, called User-Centred Ecological Interface Design, has been validated against driver behaviour and used to support their ongoing work on vehicle automation.  I highly recommend this book for anyone interested, or involved, in designing human-automation interaction in vehicles and beyond." 

Professor Michael A. Regan, University of NSW Sydney, AUSTRALIA 


Neville A. Stanton PhD, DSc, is a Chartered Psychologist, Chartered Ergonomist and Chartered Engineer. He holds the Chair in Human Factors Engineering in the Faculty of Engineering and the Environment at the University of Southampton in the UK. He has degrees in Occupational Psychology, Applied Psychology and Human Factors Engineering and has worked at the Universities of Aston, Brunel, Cornell and MIT. His research interests include modelling, predicting, analysing and evaluating human performance in systems as well as designing the interfaces and interaction between humans and technology.Kirsten Revell PhD, is a Human Factors Engineering Research Fellow at the Faculty of Engineering and the Environment at the University of Southampton in the UK. She has degrees in Psychology, Industrial Design and Human Factors Engineering and has worked in Industry at Microsoft Ltd. as well as within academia at Brunel University London and the University of Southampton. Kirsten's research interests is understanding how the design of tools and interfaces within their broader systems of use impact user capability and behavior.Pat Langdon is a Reader (PRA) Computer Engineering (EECE) at the University Cambridge Engineering Department and Principal Research Associate in the Engineering Design Centre; Lead researcher in Inclusive Design. His past research has examined the psychological reality of certain Artificial Intelligence-based theories of Computer Vision and Neural-Network algorithms for robot control as well as Computational support for Engineering Design. He is currently working in the areas of modelling inclusive interaction, particularly vision, learning, movement and cognition for inclusive design and computer assistance for motion impaired interface use. Pat is author and lead researcher responsible for a number of projects including Human Machine Interfaces as applied to Automotive displays and controls using signal processing for gestural and pointing intent and Inclusive Human Machine Interfaces for the future car.
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