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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
Human-Machine Interaction for Automated Vehicles: Driver Status Monitoring and the Takeover Process explains how to design an intelligent human-machine interface by characterizing driver behavior before and during the takeover process. Multiple solutions are presented to accommodate different sensing technologies, driving environments and driving styles. Depending on the availability and location of the camera, the recognition of driving and non-driving tasks can be based on eye gaze, head movement, hand gesture or a combination. Technical solutions to recognize drivers various behaviors in adaptive automated driving are described with associated implications to the driving quality. Finally, cutting-edge insights to improve the human-machine-interface design for safety and driving efficiency are also provided, based on the use of this sensing capability to measure drivers' cognition capability. - Covers everything needed to design an effective driver monitoring system, including sensors, areas to monitor, computing devices, and data analysis algorithms - Explores aspects of driver behavior that should be considered when designing an intelligent HMI - Examines the L3 take-over process in detail
This text presents a four-step approach for applying communicative concepts to driving automation, including: scoping, piloting, designing, and testing. It further provides experimental data on how practical human-human communication strategies can be applied to interaction in automated vehicles. The book explores the role of communication and the nature of situation awareness in automated vehicles to ensure safe and usable automated vehicle operation. It covers the issue of interaction in automated vehicles by providing insight into communicative concepts, the transfer of control in human-teams, and how these concepts can be applied in automated vehicles. The theoretical framework is built on by presenting experimental findings, design workshop output and providing a demonstration of prototype generation for automated assistants that addresses a wide range of performance outcomes within human-machine interaction. Aimed at professionals, graduate students, and academic researchers in the fields of ergonomics, automotive engineering, transportation engineering, and human factors, this text: Discusses experimental findings on how practical human-human communication strategies can be applied to interaction in automated vehicles. Provides a four-step approach for applying communicative concepts to driving automation, including: scoping, piloting, designing and testing. Explores the role of distributed situation awareness in automated vehicles. Covers communication and system awareness in response to multiple complex road scenarios. Provides design guidelines for automation-human handover design.
This book focuses on automotive user interfaces for in-vehicle usage, looking at car electronics, its software of hidden technologies (e.g., ASP, ESP), comfort functions (e.g., navigation, communication, entertainment) and driver assistance (e.g., distance checking). The increased complexity of automotive user interfaces, driven by the need for using consumer electronic devices in cars as well as autonomous driving, has sparked a plethora of new research within this field of study. Covering a broad spectrum of detailed topics, the authors of this edited volume offer an outstanding overview of the current state of the art; providing deep insights into usability and user experience, interaction techniques and technologies as well as methods, tools and its applications, exploring the increasing importance of Human-Computer-Interaction (HCI) within the automotive industry Automotive User Interfaces is intended as an authoritative and valuable resource for professional practitioners and researchers alike, as well as computer science and engineering students who are interested in automotive interfaces.
The four-volume set LNCS 6765-6768 constitutes the refereed proceedings of the 6th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2011, held as Part of HCI International 2011, in Orlando, FL, USA, in July 2011, jointly with 10 other conferences addressing the latest research and development efforts and highlighting the human aspects of design and use of computing systems. The 47 revised papers included in the third volume were carefully reviewed and selected from numerous submissions. The papers are organized in the following topical sections: universal access in the mobile context; ambient assisted living and smart environments; driving and interaction; interactive technologies in the physical and built environment.
This two-volume set LNCS 12212 and 12213 constitutes the refereed proceedings of the Second International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020, in Copenhagen, Denmark, in July, 2020.* A total of 1439 full papers and 238 posters have been carefully reviewed and accepted for publication in HCII 2020. The papers cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. MobiTAS 2020 includes a total of 59 papers and they are organized in the following topical sections: Part I, Automated Driving and In-Vehicle Experience Design: UX topics in automated driving, and designing in-vehicle experiences. Part II, Driving Behavior, Urban and Smart Mobility: studies on driving behavior, and urban and smart mobility. *The conference was held virtually due to the COVID-19 pandemic.
As life expectancy increases, older workers and the retired form a large and growing proportion of the world’s population. Professionals working to develop systems and environments need to better accommodate the user needs of the older adult. This new guide provides a practical introduction to human factors and the older adult. It considers the subject primarily from an engineering psychology perspective, heavily grounded in today’s scientific knowledge. The authors show how current understanding of age-related issues of perception, cognition, and movement control can be applied in practice. They also provide a reference source with guidelines and advice for design issues ranging from lighting, computer input device selection, and web site design, to training program development and work task design. The text draws on research-oriented work and presents this in a form that can be used by the broad audience of product designers, health care practitioners, managers, and others who need answers to problems and require sound recommendations for design.
This book is dedicated to user experience design for automated driving to address humane aspects of automated driving, e.g., workload, safety, trust, ethics, and acceptance. Automated driving has experienced a major development boost in recent years. However, most of the research and implementation has been technology-driven, rather than human-centered. The levels of automated driving have been poorly defined and inconsistently used. A variety of application scenarios and restrictions has been ambiguous. Also, it deals with human factors, design practices and methods, as well as applications, such as multimodal infotainment, virtual reality, augmented reality, and interactions in and outside users. This book aims at 1) providing engineers, designers, and practitioners with a broad overview of the state-of-the-art user experience research in automated driving to speed-up the implementation of automated vehicles and 2) helping researchers and students benefit from various perspectives and approaches to generate new research ideas and conduct more integrated research.
This book describes, for the first time in pedagogical form, an approach to computer-based work in complex sociotechnical systems developed over the last 30 years by Jens Rasmussen and his colleagues at Risø National Laboratory in Roskilde, Denmark. This approach is represented by a framework called cognitive work analysis. Its goal is to help
The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.