Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing (Transportation Human Factors)

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.