Designing Interaction and Interfaces for Automated Vehicles

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.

• Chapter 1. UCEID - The Best of Both Worlds: Combining Ecological Interface Design with User Centred Design in a Novel Human Factors Method Applied to Automated DrivingChapter 2. Using UCEID to Include the Excluded: An Autonomous Vehicle HMI Inclusive Design Case StudyChapter 3. Designing Autonomy in Cars: A Survey and Two Focus Groups on Driving Habits of an Inclusive User Group, and Group Attitudes Towards Autonomous CarsChapter 4.An Evaluation of Inclusive Dialogue-Based Interfaces for the Takeover of Control in Autonomous CarsChapter 5.The Design of Takeover Requests in Autonomous Vehicles: Low-fidelity StudiesChapter 6. How Was It for You? Comparing How Different Levels of Multimodal Situation Awareness Feedback Are Experienced by Human Agents During Transfer of Control of the Driving Task in a Semi-Autonomous VehicleChapter 7. Human Driver Post-Takeover Driving Performance in Highly Automated VehiclesChapter 8.Validating Operator Event Sequence Diagrams: The Case of Automated Vehicle to Human Driver TakeoversChapter 9. Breaking the Cycle of Frustration: Applying Neisser’s Perceptual Cycle Model to Drivers of Semi-Autonomous Vehicles.Chapter 10. Semi-Automated Driving Has Higher Workload and Is Less Acceptable to Drivers Than Manual Vehicles: An On-Road Comparison of Three Contemporary SAE Level 2 VehiclesChapter 11. The Iconography of Vehicle Automation - A Focus Group StudyChapter 12. Customisation of Takeover Guidance in Semi-Autonomous VehiclesChapter 13.The Effects of Interface Customisation on Drivers’ Takeover Experience in Highly Automated DrivingChapter 14.Accommodating Drivers’ Preferences Using a Customised Takeover InterfaceChapter 15.Modelling Automation-Human Driver Interactions in Vehicle Takeovers Using OESDsChapter 16.Feedback in Highly Automated Vehicles: What Do Drivers Rely on in Simulated and Real-World Environments?Chapter 17. Can Allowing Interface Customisation Increase Driver Confidence and Safety Levels in Automated Vehicle TORs?Chapter 18. The Effects of Customisable HMI on Subjective Evaluation of Takeover Experience on the RoadChapter 19.Accommodating Drivers’ Preferences Using a Customised Takeover Interface on UK MotorwaysChapter 20.Validating OESDs in an On-Road Study of Semi-Automated Vehicle to Human Driver TakeoversChapter 21.Design Constraints and Guidelines for the automation-human interface

Stanton, Revell, and Langdon have produced the timeliest of all possible texts for our modern age. For here, they and their colleagues explore the modal issue of the times – the ways in which automated vehicles will impact our world. It is a work that should be mandatory for all who aspire to achieve in the world of automated vehicles. If you wish to understand this future, read this book. But more, our whole lives will change as systems automation and technological autonomy begin to hold sway. -Professor Peter Hancock, University of Central Florida, USAResearchers, students and practitioners will value the guidance given by the authors based on empirical evidence. This comprehensive book covers the different aspects of HMI design for automated vehicles in an outstanding way and addresses relevant topics and research paradigms in depth and from different perspectives. The authors give clear and practical guidance on development, evaluation and HMI design. The book gives an important and very sophisticated overview in an area of applied research that is evolving rapidly.-Prof. Dr. Klaus Bengler, Technische Universität München, GERMANYIn 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